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2017 IEDRC BEIJING CONFERENCES
ABSTRACT
2017 International Conference on Business and Information Management
(ICBIM 2017)
2017 7th International Conference on Financial Management and Economics
(ICFME 2017)
Beijing, China
July 23-25, 2017
Sponsored by
Published by
http://www.iedrc.org/
2017 IEDRC BEIJING CONFERENCES
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Table of Contents
Welcome Remarks 6
Introductions for Beijing University of Technology 7
Conference Venue 8
Introductions for Publications 9
Instructions for Presentations 10
Introduction for Conference Chair 11
Introductions for Keynote Speakers 12
Time Schedule 17
Session 1: Finance and Economics
FM002: The Effect of Accounting Reporting Complexity on Financial Analysts
Rani Hoitash, Udi Hoitash and Ari Yezegel 19
BM0007: Assets and Liabilities Portfolio Optimal Model based on ES Controlled Interest
Rate Risk
Hongxi Li, Guotai Chi
19
BM0008: Weight Optimization Model based on the Maximum Discriminating Power of
Credit Evaluation Result
Shanli Yu, Guotai Chi
19
BM0033: High Embedded Dimension Stock Data Prediction Model based on Chaotic
Prediction Model
Jianding Zhou, Peiqi Zhen, Yue Zeng
20
FM005-A: Health Care Expenditure and Health Outcome Nexus: New Evidence from
SAARC-ASEAN Region
Mohammad Mafizur Rahman, Rasheda Khanam
20
FM013-A: Do Cross Shareholding Relief the Risk of Stock Market Crash?
Songling Yang, Miao Wang, Tingli Liu 20
FM017: Research on Influences and Coping Strategies of Carbon Emission Reduction
Policy——Taking Beijing Bus Company as an Example
Lixiang Zhao, Jing Tang
21
FM024: Evaluating the Level of Urban Infrastructure Economic Benefit: Case Study of
Beijing, China
Yin Cui
21
FM101-A: Is Natural Resource a Curse or Blessing?-The Case of Mongolia
Bolor Narankhuu 21
FM102-A: Financial Development and Economic Growth Revisited: Time Series
Evidence
Ariuna Taivan
21
FM401: Determinants of Balance of Trade in the Sri Lankan Economy
Erandi Weerasinghe, Tissa Ravinda Perera 22
Session 2: IT Application and Social Management
2017 IEDRC BEIJING CONFERENCES
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BM0031: Applications of Civil Information Modeling (CIM) for Constructability Review
in Railway Construction Projects
Yu-cheng Lin, Chia-Pin Yen, Hsin-Tzu Hu
23
BM0009: Exploring Barriers Underlying College Students’ Adoption of MOOCs
Long Ma, Chei Sian Lee 23
BM0016: Research on Adverse Drug Reaction Recognitions based on Conditional
Random Field
Qingping Song, Bing Li, Yuyang Xu
23
BM0039: Content Analysis and Spatial Analysis: A Case Study of Public Satisfaction of
Indonesia National Health Insurance
Ariph Satyanagara, Isti Surjandari
24
BM0041: Classifying Indonesian Online Articles as Advertisement Placement Base
Using Text Mining
Nadhira Tasya, Arian Dhini
24
BM1003: Hollywood Star Power and Securitainment as a Potential Response to Fears of
Cyber Crimes
Ruifang Hope Sun
25
BM1004: Study on Application of PSO with Time Window for User Recommendation in
Research Social Networks
Rui Hu, Chao Zhang, Xinliang Han
25
BM1026: Establishment of Business Intelligence and Big Data Analysis for Higher
Education
Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu
25
FM007: Development of a New Model for Electricity Demand Forecasting
Yuqing Zhang, Betty Wang 25
FM016-A: Uses of Management Control Tools: Study on the Adaptation of
Classifications to the Public Sector
Nicolas Petit, Gulliver Lux
26
Session 3: Business Management
BM0014: Information Contents and Mediating Effects of Intellectual Capital and Financial
Capital on the Corporate Value Relevance of Business Strategy
Kuo-An Tseng, Shu-Hua Wang, Ching-I Lin, Shih-Hung Tai
27
BM0017: Analysis of Evaluating Dimensions of Chinese Express Hotels based on User
Generated Content
Jingxuan Zhang, Bing Li, Fei Teng, Can Cui, Yikai Deng
27
BM0018: Correlation Analysis between the Products Involvement and Audience Satisfaction of
the Web Fiction-adapted Teleplay
Wenfeng Liang, Hongjie Chen, Xiaoran Ti, Lushan Guo
27
BM0038: A Transitivity Analysis of On-line Product Descriptions—A Case Study of Book
Product Descriptions
Huan Wang, Lei Zhao, Jianhua Jiang
28
BM0046: How can Risk Propensity Mediate the Effect of Trait Anxiety on Entrapment
Behavior?
Somayeh Khoshsoroor, Dapeng Liang, Ehsan Chitsaz, Hanieh Alizadeh
28
2017 IEDRC BEIJING CONFERENCES
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BM1021: An investigation into External Environment Factors affecting Performance of Small
and Medium Enterprises in Cote d’Ivoire
Diabate Ardjouman, Lariaa Mingaine
28
FM022: The Impacts of Product Packaging Elements on Brand Image And Purchase
Intention-An Empirical Study of Phuc Long’s Packaged Tea Products
Mai Ngoc Khuong, Nguyen Thi Huyen Tran
29
FM026: The Impact of Atmospheric Factors on Repurchase Intention at Upscale Restaurants in
Ho Chi Minh City, Vietnam
Mai Ngoc Khuong, Dao Ngoc Quynh
29
FM202: Corporate Social Performance: A Multi-Stakeholder Analysis of Indonesian Energy
Companies’ Sustainability Report
Amelia Kurniawati, TMA Ari Samadhi, Iwan Inrawan Wiratmadja, Indryati Sunaryo, Rayinda
Pramuditya Soesanto, Fadel Muhammad
29
Session 4: Market Analysis and Marketing Management
BM0010: Online Purchase Intention based on TAM and IAM: A Literature Review
Yu Wang 30
BM0023: An Investigation on Online Shopping Behaviors in the Singles Day: The Role
of Gender
Qingyu Zhang, Cui Li, Chunling Zhang, Kang Wang
30
BM0025: Market Structure and Competitive Behavior of China’s P2P Lending Industry
Kai Qiao, Yihan Dong, Peiwu Dong 30
BM0028: Does Customer Perception really Influence Customer Retention? A Conditional
Indirect Effect Analysis
Chien Lung Hsu, Yi-Chuan Liao
31
BM0029: The Like Economy: The Impact of Interaction Between Artists and Fans on
Social Media in Art Market
Xin Kang, Wenyin Chen
31
BM0030: Intelligent Smart Bait Fishing: A New Mobile App Business Model
Yueliang Lu, Fadi Thabtah 31
BM0042: Classifying Purchase Decision based on User Clickstream in E-Commerce
Using Web Usage Mining
Surya Yehezki, Arian Dhini
32
BM0043: Identifying Consumer Buying Behavior Differences through Market Basket
Analysis in Multiple Outlet Types
Nurfitriana Tri Utami, Isti Surjandari
32
BM1022: Shopping Environment: A Preliminary Investigation of Gulf Tourists’ Emotion,
Shopping Intention and Word of Mouth Intention
Alalyani, Abdulrahman Saleh M, A.Y.M. Atiquil Islam, Alaliani, Reem Abdulrahman
M, Norzalita Abd Aziz
32
BM1023: Modeling of Revisit Intention: An Empirical Study on Tourists’ Electronic
Word of Mouth, Destination Image and Perceived Risk
Alaliani, Reem Abdulrahman M, A.Y.M. Atiquil Islam, Alalyani, Abdulrahman Saleh
M, Norzalita Abd Aziz
33
Poster Session 34
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Listeners’ List 36
Academic Visiting/City Visiting 37
Call for Papers 39
Note 44
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Welcome Remarks
It is a great pleasure to be here in Beijing and host the conference namely 2017 International Conference on
Business and Information Management (ICBIM 2017), and 2017 7th International Conference on Financial
Management and Economics (ICFME 2017). It’s so glad that many of you have been able to take time out of
your busy teaching and research schedules and join the conference. We would like to give the warmest
welcome to all participants. Hope you could have an impressive experience at the conference.
Today's conferences take place under the great sponsorship of Beijing University of Technology, China.
Beijing University of Technology (formerly known as Beijing Polytechnic University) was founded in 1960.
It is a key university under the administration of the Beijing municipal government, which has established a
multi-disciplinary academic structure. The structure offers various programs and also involves in diversified
academic research in the fields of science, engineering, economics, management, liberal arts and law. It is
ranked as one of the 100 key universities for the 21st century. Its mission is relying on Beijing, merging into
Beijing, inspiring China and orienting itself to the world. In fulfilling this mission, the university has become
a base for cultivating qualified high-level personnel, for scientific and technological innovation and for
research and development.
As you can see from this program, this is precisely what we are hoping to achieve through these conferences.
Each of you has been asked either to make a presentation or to be a session chair today. You are asked to
explain challenges you have encountered in research in your own area of expertise, and to share with us
which research strategy/methodology did or didn't work for you, as well as any lessons you may have drawn
from it. While we hope that you will find the sharing of your research experiences among yourselves useful,
listening to your presentations is also a great opportunity for the others present here today to better
understand the positioning of your research, which in return conducive for them to make better
suggestions/recommendations for your future research. Session chairs are also aimed in part to serve this
purpose. So, please be prepared to explain what you do or intend to do in your own expert area, and accept
your comments on how you can enhance your research outcomes. So please express your frank views on
others work in your own expert areas, and tell them what you want them to do more or differently
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Introductions for Beijing University of Technology
Beijing University of Technology, also called Beijing Polytechnic University or Bei Gong Da, is recognized
as one of the Project 211 universities. The University has established a multidisplinary academic structure,
offering a variety of programs and is involved in diversified research in the fields of Science, Engineering,
Economics, Management, Liberal Arts, and Law.
Beijing University of Technology was founded in 1960 with five engineering departments. The first group of
students was transferred from Beijing Institute of Technology and Beijing Normal University.
In 1981, Beijing University of Technology formed the graduate school. In 1985, the school started granting
the Doctoral degrees with international standard.
In 1990, Beijing Tech acquired the College of Economics and Management from Beijing Union University,
and later in 1993, Beijing Computer Institute became College of Computer Science as part of the university.
In 1993, Beijing Tech formed the Experimental College by cooperating with local business, which later
became an independent college. Over the decades, the social science's played a significant role therein.
Especially, the achievements of faculties in facet of Economics, Law and other social sciences have indicated
that this university has been changed into a de facto comprehensive university with wide variety of schools
and colleges thoroughly. The most achievements is mainly focused on the engineering research and
education.
Beijing Tech's main library is a modern complex occupying a floor area of more than 20,000 square meters.
The library houses about 700,000 printed materials, 60,000 e-books, more than 40 kinds of database
resources, forming a documentation resource system which meets the demands of teaching and research. The
library also cooperates with the Capital Library of Beijing and the Information Center of the Chinese
Academy of Science, providing professional services to the student and faculty.
Beijing Tech was selected to host the Badminton competitions of the 2008 Beijing Olympic Games, a new
athletic gymnasium was finished in September 2007, and met the requirements of the International Olympic
Committee.
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Conference Venue
Grand Gongda Jianguo Hotel (北京工大建国饭店) http://www.gongda-jianguo.cn/
Add: 100 Pingle yuan Street, Chaoyang, 100124 Beijing, China
北京市朝阳区平乐园 100 号(北京工业大学南门西侧)
Tel: 010-59102062
Grand Gongda Jianguo Hotel is located a 12-minute drive from China World Trade Center and Guomao
Commercial Area. The stylish hotel offers a health club, free parking and free internet.
Spacious guest rooms at Grand Gongda Jianguo are fully air conditioned and feature a modern interior.
Each well-furnished room has an electric teakettle, ironing facilities and a flat-screen TV with cable
channels.
Hotel Grand Gongda Jianguo has a well-equipped fitness center. Laundry and dry cleaning services are
offered. The hotel has a tour desk to assist guests with travel arrangements and ticketing.
Fu Yuan Cafe serves a wide variety of international and Asian dishes. Japanese and Chinese food can be
tasted at Wan Shi Chuan Japanese Restaurant and Tainan Fu Cheng Chinese Restaurant respectively.
Grand Gongda Jianguo Hotel is a 10-minute drive from the Antique Market. It is 27 miles from Beijing
Capital Airport and will take around 40-50 minutes by taxi.
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Introductions for Publications
All accepted papers for the Beijing conferences will be published in those proceeding/journals below.
2017 International Conference on Business and Information Management (ICBIM 2017)
International Conference Proceedings Series by ACM
Indexing: the ACM Digital Library, Ei Compendex, Scopus and Thomson Reuters Conference
Proceedings Citation Index (ISI Web of Science).
部分通过审核并接收的文章可由 ACM 出版成论文集,并由 Ei Compendex 和 Scopus 检索
International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE)
ISSN: 2010-3654
DOI: 10.17706/IJEEEE
Abstracting/ Indexing: Engineering & Technology Digital Library, Google Scholar, Electronic Journals
Library, QUALIS, ProQuest, EI (INSPEC, IET).
2017 7th International Conference on Financial Management and Economics (ICFME 2017)
Journal of Economics, Business and Management (JOEBM)
ISSN: 2301-3567
DOI: 10.18178/JOEBM
Abstracting/ Indexing: Engineering & Technology Library, Electronic Journals Library, Ulrich's
Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
International Journal of Trade, Economics and Finance (IJTEF)
ISSN: 2010-023X
DOI: 10.18178/IJTEF
Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic
Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Directory.
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Instructions for Oral Presentations
Devices Provided by the Conference Organizer:
Laptops (with MS-Office & Adobe Reader)
Projectors & Screens
Laser Sticks
Materials Provided by the Presenters:
Power Point or PDF Files (Files should be copied to the conference laptop at the beginning of each session)
Duration of each Presentation (Tentatively):
Keynote Speech: 40 Minutes of Presentation, 5 Minutes of Q&A
Regular Oral Presentation: about 15 Minutes of Presentation and Q&A
Instructions for Poster Presentation Materials Provided by the Conference Organizer: The place to put poster
Materials Provided by the Presenters: Home-made Posters
Maximum poster size is A1, portrait direction
Load Capacity: Holds up to 0.5 kg
Best Presentation Award One Best Oral Presentation will be selected from each presentation session, and the Certificate for Best Oral
Presentation will be awarded at the end of each session on July 24, 2017.
Dress Code Please wear formal clothes or national representative clothing.
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Introduction for Conference Chair
Prof. Yongan Zhang
Beijing University of Technology, China
Zhang Yong-an, Doctor of Management, is the Doctoral Advisor and professor of the school of economic
and management at Beijing University of Technology. Dr Zhang is also the Adjunct Professor in Shanxi
University of Finance and Economics, Shanxi University of Science and Technology and Beijing Material
Institute, as well as management consultant for listed companies. Dr. Zhang’s research expertise includes
enterprise development strategy, enterprise business model, high and new technology industry cluster
innovation network policy. Dr. Zhang has participated and presided over four of the national natural science
fund projects and provincial soft science projects. He was awarded second prize for excellent achievement of
philosophy and social science at the provincial level, second prize in provincial scientific and technological
progress, provincial outstanding young economic theory workers and many other awards. Dr. Zhang has
obtained four counts of software copyright: the Complex Logistics Simulation Platform; the Immediate
Network Information Acquisition System; Researchers Questioned Message Interaction Management
Platform System. And he also undertook and completed the cooperation with Beijing municipal committee:
Beijing City Traffic Votes Fares Research, the Research of Beijing Parking Business Cost and other more
than 10 unique projects. Till now, Dr. Zhang has already completed two books and teaching materials,
published more than 50 high level academic papers.
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Introductions for Keynote Speakers
Prof. Jin Wang
Valdosta State University, USA
Jin Wang is a Professor of Operations Research in the Department of Mathematics at Valdosta State
University, USA. He received his Ph.D. degree from the School of Industrial Engineering at Purdue
University in 1994. His research interests include Operations Research, Stochastic Modeling and
Optimization, Supply Chain Management, Monte Carlo Simulation, Computational Finance, Portfolio
Management, and Applied Probability and Statistics. Currently, he is working on Big Data and Data Mining
fields. He has more than 28 years collegiate teaching experience in the field of quantitative methods and
statistics at Purdue University, Florida State University, Auburn University, and Valdosta State University.
Dr. Wang has been active in professional research activities. He has authored articles for publication in
referred journals and conference proceedings. He has been active in INFORMS, IIE, and the Winter
Simulation Conference and invited to give presentations, organize and chair sessions at national meetings.
He has participated as a principal investigator in several research projects funded by federal and industrial
agencies, including the National Science Foundation, General Motors, and the National Science Foundation
of P.R. China. He was invited as a panel member at the National Science Foundation Workshop. Dr. Wang
also served as a consultant for financial firms. His analytical Monte Carlo method using a multivariate
mixture of normal distributions to simulate market data has made a great impact in education and the finance
industry. This algorithm was selected as a graduate-level research project topic for many schools, such as,
Columbia University Management Department, Carnegie Mellon University Economics and Finance
Department, Tilburg University in Holland, Technische Universitaet Munich in Germany, Imperial College
in London. This method was also implemented in many financial companies, such as, Zürcher Kantonal
Bank, IRQ, Zürich Switzerland, Klosbachstrasse, Zürich, Switzerland, Norsk Regnesentral in Norway, Cutler
Group, L.P., Altis Partners (Jersey) Limited, Windham Capital Management, LLC.
Speech Title: On Cluster Based Multivariate Outlier Detection in Data Mining
Abstract: In today’s big data age, mining outliers has become more and more important. It has wide
applications in many fields, such as, detection of potential terrorist attacks, credit card fraud detection,
network intrusion, clinical trials, severe weather prediction, and athlete performance analysis. On the other
side, outlier removal also plays an important role in big data cleaning process. In this study, we propose a
normal mixture model for the multivariate outlier detection. Due to the large volume and variety of big data,
the classical Euclidean distance measure are not working well for mining multivariate outliers. Variables
among different dimensions are usually correlated. Different distant measures will be discussed including the
well-known Mahalanobis distance. The mixture model parameters are fitted via the EM algorithm. The
K-means clustering algorithm is used to provide the initial inputs for the EM algorithm. The optimal k
clusters and initial centers issues will be discussed. A nonsingular robust covariance estimation in calculating
Mahalanobis distance will be introduce.
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Prof. Yanqing Duan
University of Bedfordshire, UK
Yanqing Duan (BSc, MSc, PhD, SFHEA) is a professor of Information Systems. She is also the founder
and director of Business and Information Systems (BISC) at the Business School, University of Bedfordshire.
Her principal research interest is the use of the emerging Information and Communication Technologies (ICT)
in organisations and their impact on decision making, innovation, and knowledge management. Her recent
research has focused on how, why and to what extent Business Analytics is impacting on decision making,
innovation, and organisational performance. She has co-ordinated many research projects funded by various
funding sources, such as: European Commission, UK Department For International Development (DFID),
JISC, British Council, etc. She has published over 180 peer reviewed articles, including papers in European
Journal of Information Systems, IEEE transaction on Engineering Management, Information & Management,
European Journal of Marketing, Journal of Business Research, The Information Society, Expert Systems with
Applications, Information Technology & People.
Speech Title: Understanding the Use and Impact of Big Data and Analytics: Research Challenges and
Opportunities
Abstract: The emergence of Big Data and the advance of analytical technologies provide organisations
with extraordinary opportunities to differentiate themselves through analytics. How, why and to what extent
is Big Data and Analytics impacting on business operations and performance? Researchers are facing many
emerging research challenges as well as opportunities in order to address these questions and to help
organisations maximise the value of analytics in the era of Big Data. This presentation will first provide a
brief review of the current development of research on understanding of the use and impact of Big Data
Analytics. Based on the speaker’s involvement in the research projects focusing on examining the impact of
analytics on business competitive advantages, innovation, strategic decision making, and student experience
management in UK HEIs, the presentation will discuss the practical implications for industry and the key
challenges and opportunities for research emerged from the recent research projects.
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Assoc. Prof. Chao Wang
Beijing University of Technology, China
Chao Wang is an Associate Professor of Management Science and Engineering in School of Economics
and Management at Beijing University of Technology, China. He received his Ph.D. degree at Beijing
Jiaotong University in 2015. He was a visiting scholar in Purdue University from 2012-2014 and will be a
post-doc in Center for Polymer Studies at Boston University from 2017-2019. His research interests include
Operations Research, Supply Chain Management, and Econophysics. Currently, he is working on the
abnormal fluctuations formation mechanism of stock market based on investors’ interaction. Dr. Wang has
published more than 30 papers in referred journals and conference proceedings and authored or co-authored
one book. He has been principal investigator in several research projects funded by National Science
Foundation of China, Beijing Social Science Foundation.
Speech Title: Financial Theory of Systems Science
Abstract: With the revolution of the financial system and the development of the related disciplines, the
research paradigm of the financial theory continues innovating. Financial theory evolves to the highly-open
and multi-level nonlinear dynamics of complex systems, but modern financial theory and behavioral
financial theory cannot effectively cognize and reveal the evolution and operation laws of the financial
system and it is more difficult for them to realize the optimization and control of the financial system. Crises
occur in their research paradigms. The important practical problems such as financial and economic problems
happening in the operation of the economic and financial systems make the research paradigm of the
financial paradigm change radically. The financial theory of systems science is a new research paradigm of
financial theory. It is the promoted result of interaction from simple to complex and the development of
systems science theory and other factors of the financial system, which represents the future innovation
direction of the financial theory.
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Assoc. Prof. Haiying Ren
Beijing University of Technology, China
Haiying Ren is an Associate Professor of Management Science and Engineering in School of Economics
and Management at Beijing University of Technology, China. He received his Ph.D. degree in Industrial
Engineering at University of South Florida in 2000. His research interests include Technology and
Innovation Management, Multi-agent Simulation, Knowledge Management, and Operations Management.
Currently, he is working on the behavioral modeling of the processes of Inventions with knowledge network
representations. He has 14 years collegiate teaching experience in the field of operations research, computer
simulation, decision theories and analytical business methods at Beijing University of Technology. Dr. Ren
has published more than 40 papers in referred journals and conference proceedings and authored or
co-authored two monographs and one book series. He has been principal investigator in several research
projects funded by Beijing Municipal agencies and Ministry of Education, including the Beijing Natural
Science Foundation and Beijing Social Science Foundation. Dr. Ren won a Third Prize at 2010 Beijing
Technology Advancement Award as a key research team member. Dr. Ren is an Associate Coordinator of
Department of Management Science and Engineering in School of Economics and Management at Beijing
University of Technology, China. He is also an active member of Operations Research Society of China.
Speech Title: Dynamic Micro-Mechanism of Breakthrough Inventions Based on Multilevel Knowledge
Networks
Abstract: China has become a major patent nation, but not a strong innovation nation, as indicated by the
lack of breakthrough inventions (BI’s). In order to increase the productivity of BI’s, we have to understand
their mechanism, especially the dynamic and micro processes on individual and team levels. We tackle this
problem by integrating invention-problem specific knowledge, individual knowledge, team knowledge and
global knowledge in a multilevel knowledge network. Breakthrough inventions can then be modeled as the
dynamic searching, learning and recombining operations of the multilevel knowledge network. We design
methods for constructing such multilevel knowledge networks, propose building network models for the
mental processes, inventive schemes and thinking methods of breakthrough inventors’, modeling dynamic
micro-mechanism of breakthrough inventions and verifying the model by patent analysis and multi-agent
simulation.
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Assoc. Prof. Yang Gao
Beijing University of Technology, China
Yang Gao is an Associate Professor of Applied Economics in School of Economics and Management at
Beijing University of Technology, China. She received her Ph.D. degree at Guanghua School of
Management, Peking University in 2015. Her research interests include Market Microstructure, and Financial
Structure. Currently, she is working on the optimization of financial industry structure. Dr. Gao has published
more than 10 papers in referred journals and conference proceedings. She has been principal investigator in
several research projects funded by National Science Foundation of China, China Postdoctoral Science
Foundation.
Speech Title: Impacts of introducing index futures on stock market volatilities: New evidences from
China
Abstract: Two index futures, the SSE 50 futures (IH) and the CSI 300 futures (IC), respectively
underlying big blue chips and medium-small stocks indexes, were launched on the same day of Apr 2015 in
China. However, due to the stock market crash they were strictly restrained four months later. This paper
examines how the introductions of IH and IC affect their corresponding stock volatilities, by adopting Hsiao
et al. (2012)'s panel data evaluation approach. Results show that IH significantly reduces the spot volatility
before (after) the crash, but its function is significantly weakened during the crash. For IC, it always fails to
stabilize the spot market and even largely magnifies the volatility during (after) the crash. Further studies
give evidence that such different intervention effects on the two markets might be attributed to the different
characteristics of their constituent stocks, in particular their different levels of speculative activities.
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Time Schedule
Day 1: Registration: July 23, 2017 (Sunday)
10:00-17:00 Arrival and Registration (Venue: Lobby)
(1) Please print your registration form before you come to the conference.
(2) You can also register at any time during the conference.
(3) Certificate of Participation can be collected at the registration counter.
(4) Your paper ID will be required for the registration.
(5) The organizer won’t provide accommodation, and we suggest you make an early reservation.
(6) One best oral presentation will be selected from each oral session. The Certificate for the best one will be
awarded at the end of each session on July 24, 2017.
Day 2: Conference: July 24, 2017 (Monday)
Morning Session Opening Remarks & Keynote Speeches
Venue: Orchid & Jasmine Room
9:00-9:10
Opening Remarks
Prof. Yongan Zhang
Beijing University of Technology, China
9:10-9:55
Keynote Speaker 1
Prof. Jin Wang
Valdosta State University, USA
Title: On Cluster Based Multivariate Outlier Detection in Data Mining
9:55-10:25 Coffee Break & Photo Session
Venue: Orchid & Jasmine Room
10:25-11:10
Keynote Speaker II
Prof. Yanqing Duan
University of Bedfordshire, UK
Title: Understanding the Use and Impact of Big Data and Analytics: Research Challenges
and Opportunities
11:10-11:55
Keynote Speaker III
Assoc. Prof. Chao Wang
Beijing University of Technology, China
Title: Financial Theory of Systems Science
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11:55-13:00 Lunch
Venue: Hotel Restaurant
Afternoon Session Plenary Speeches & Oral Presentations
13:00-13:45
Orchid & Jasmine Room Hibiscus Room
Plenary Speaker I
Assoc. Prof. Haiying Ren
Beijing University of Technology, China
Title: Dynamic Micro-Mechanism of
Breakthrough Inventions Based on
Multilevel Knowledge Networks
Plenary Speaker II
Assoc. Prof. Yang Gao
Beijing University of Technology, China
Title: Impacts of introducing index futures on
stock market volatilities: New evidences from
China
13:45-16:30 Session 1
Theme: Finance and Economics
Session 2
Theme: IT Application and Social
Management
16:30-16:45 Coffee Break
16:45-19:00 Session 3
Theme: Business Management
Session 4
Theme: Market Analysis and Marketing
Management
19:30-21:00 Dinner Banquet
Venue: Hotel Restaurant
Day 3: One-day Tour: July 25, 2017 (Tuesday)
8:00-17:00 One-day Tour
Venue: Lobby
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Session 1
13:45-16:30, July 24, 2017
Venue: Orchid & Jasmine Room
Theme: Finance and Economics
Session Chair: Prof. Rani Hoitash *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.
**After the session, there will be a group photo for all presenters in this session.
ID Title+ Author’s Name
Opening
Speech
13:45-14:00
The Effect of Accounting Reporting Complexity on Financial Analysts
Rani Hoitash, Udi Hoitash and Ari Yezegel
Bentley University, USA
Abstract: We investigate the association between a new XBRL based measure of accounting
reporting complexity and analyst behavior. We find that analysts are less likely to cover firms
with complex accounting. Further, increased accounting reporting complexity is associated
with lower forecast accuracy, higher forecast dispersion, and lower informativeness of
recommendation revisions. This association is attenuated when analysts have longer tenure,
greater firm-specific experience, and are focused on fewer industries. The negative impact of
complexity appears to be primarily due to complexity disclosed in the notes to the financial
statements. Investigating several complex accounts, we find that the complexity of derivatives,
fair value, and pension accounts are each negatively associated with forecast accuracy. Given
these findings, we propose a new measure of analysts’ account-specific expertise and find that
experience with derivative and fair value accounts attenuates the negative effects of complexity
in these accounts. Overall, our results indicate that accounting reporting complexity adversely
affects financial analysts’ performance, but that analyst experience and expertise can play an
important role in mitigating this impact.
BM0007
14:00-14:15
Assets and Liabilities Portfolio Optimal Model based on ES Controlled Interest Rate Risk
Hongxi Li, Guotai Chi
Dalian University of Technology, China
Abstract: Assets and liabilities management (ALM) is aimed to control the risk by matching
assets and liabilities. Interest rate risk is one of the main risks faced by banks. This paper
builds an assets and liabilities management optimal model based on Expected Shortfall aimed
to control interest rate risk. Firstly, this paper sets up a positive or negative duration gap to
increase the net value of banks when interest rate fluctuates favourably, this offsets the
shortcoming which could not increase the net value in the immunity model of zero duration
gap. Secondly, this paper establishes the constraint based on Expected Shortfall (ES) model to
control the average extreme loss created by prepared duration gap under a limit when interest
rate fluctuates unfavourably, this offsets the shortcoming of the existing research based on VaR
which could not control the all extreme loss over VaR.
BM0008
14:15-14:30
Weight Optimization Model based on the Maximum Discriminating Power of Credit
Evaluation Result
Shanli Yu, Guotai Chi
Dalian University of Technology, China
Abstract: This paper establishes a weight optimization model in credit evaluation, based on
the idea that the weight is the most optimal if the credit evaluation result after empowerment
has the maximum discriminating power to distinguish default and non-default customers, by
establishing nonlinear programming with the maximum discriminating power of the credit
scores as the objective function and the sum of weights 1 as constraint conditions. And the
optimal weight model is proved by using 1,231 small businesses samples from 28 cities of
China. The empirical results show that the discriminating power of credit evaluation result
after empowerment by the optimal weight model is the strongest when compared with three
kinds of weight models, t value, variation coefficient and mean square error. That means the
optional weight model ensure the credit evaluation after empowerment has the maximum
2017 IEDRC BEIJING CONFERENCES
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discriminating power, and change the disadvantage of existing research do not ensure the
evaluation result with the maximum discriminating power after empowerment.
BM0033
14:30-14:45
High Embedded Dimension Stock Data Prediction Model based on Chaotic Prediction Model
Jianding Zhou, Peiqi Zhen, Yue Zeng
Beijing Forestry University, China
Abstract: A correct understanding of the stock market volatility and its forecast for the stable
development of China stock market is of a great significance. In a fully defined system, it can
produce very complex movement changes, which are called chaos. The research shows that
there are chaotic characteristics in the stock market, and the China stock market has a chaotic
system with fractal dimension structure. The primary goal of this research is tantamount
predicting the volatility of the stock market. This paper uses one-rank local-region method and
the Lyapunov exponent prediction model which are based on Chaotic Prediction Model. The
phase space is constructed according to the characteristics of the Lyapunov index, and the
Shanghai Composite Index is predicted, based on the maximum Lyapunov exponents.
FM005-A
14:45-15:00
Health Care Expenditure and Health Outcome Nexus: New Evidence from SAARC-ASEAN
Region
Mohammad Mafizur Rahman, Rasheda Khanam
University of Southern Queensland, Australia
Abstract: This study aims to investigate a relationship between the healthcare expenditures
and three main health status outcomes (life expectancy at birth, crude death rate and infant
mortality rate) in the SAARC-ASEAN region. Using the World Bank data for 20 years
(1995-2014) in 15 countries of the region, a panel data analysis is conducted where relevant
fixed and random effect models are estimated to determine the effects of healthcare
expenditures on health outcomes. The separate effects of private and public health
expenditures were also explored. Total health expenditure, public health expenditure and
private health expenditure have significant effect in reducing infant mortality rate and the
extent of effect of private health expenditure is greater than that of public health expenditure.
Private health expenditure also has significant role in reducing crude death rate. However, the
study has not found any significant effect of health expenditure on life expectancy at birth. Per
capita income growth and improved sanitation facilities have also significant positive roles in
improving population health in the region. Therefore, healthcare expenditures, along with
income growth rate and improved sanitation facilities, should be considered as an important
determinant in improving population heath status in the region.
FM013-A
15:00-15:15
Do Cross Shareholding Relief the Risk of Stock Market Crash?
Songling Yang, Miao Wang, Tingli Liu
Beijing University of Technology, China
Abstract: The stock market crash is harmful to shareholders and investors. Does crossholding
relief the risk of stock market crash? This paper investigates the relationship between
crossholding and market crash. With a sample of A-shares listed companies in Shanghai and
Shenzhen Stock Exchange from 2008 to 2014, the result shows that crossholding significantly
alleviates the crash risk of listed companies. Moreover, the negative relationship between
crossholding and market crash is more pronounced for firms with poor performance and low
growth. This paper makes a new explanation and consequence of the impact of crossholding in
the market crash.
2017 IEDRC BEIJING CONFERENCES
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FM017
15:15-15:30
Research on Influences and Coping Strategies of Carbon Emission Reduction
Policy——Taking Beijing Bus Company as an Example
Lixiang Zhao, Jing Tang
Beijing University of Technology, China
Abstract: With the continuous development of economy and income of the residents, people's
living standard has been improving. But the people's living environment hasn’t improved as
well. Greenhouse gases, especially CO2 emissions, have been increasingly caused a variety of
environmental problems, and how to solve these environmental problems has become the focus
of attention of scholars. Carbon reduction policies is an important means to reduce carbon
emissions. Taking Beijing city as an example, under the influence of the carbon emission
reduction policy to Beijing City, Beijing public transport group how to develop coping
strategies, to ensure its stable development, reduce carbon emissions at the same time. We will
make an in-depth research on this problem in this paper.
FM024
15:30-15:45
Evaluating the Level of Urban Infrastructure Economic Benefit: Case Study of Beijing, China
Yin Cui
Tianjin University, China
Abstract: The economic benefit of urban public infrastructure is the positive influence on the
urban economy system generated by the use of urban infrastructure. This paper decomposes
urban infrastructure economic benefit into four effects which include consumption effect,
investment effect, government purchase effect and external demand effect for the first time and
evaluate the level of urban infrastructure economic benefit taking Beijing for example. We
analyzed the level of urban infrastructure economic benefit by entropy method. The result
showed that the urban infrastructure economic benefit of Beijing was at the different level in
different years. The change of it was in an obvious fluctuating trend. It should be improved in
the future.
FM101-A
15:45-16:00
Is Natural Resource a Curse or Blessing?-The Case of Mongolia
Bolor Narankhuu
Ryerson University, Toronto, Canada
Abstract: Mongolia, a young north-east Asian democracy, has become a hotspot for mining in
the region, and the Mongolian mining industry has been playing an increasingly important role
in the economy. This paper analyzes the effects of the mining boom on the socio-economic
development and political institutions of Mongolia. The rapid development of the mining
sector of Mongolia has impacted very differently on the overall macroeconomic and social
development as well as governance and institutions. Analyzing the linkages of the mining
sector to the four (real, fiscal, monetary, and external) economic sectors we found out that the
mining sector rapid development created significant fiscal and monetary imbalances in the
macro economy. Moreover, based on the Transparency International’s Corruption Perception
Index and the Global Governance Indicators developed by the World Bank, we claim that the
institutional quality and governance in Mongolia have deteriorated noticeably at the same time
when Mongolia started experiencing the very favorable global commodity markets. The bright
side, however, was that the mining sector contributed extensively to reduce the poverty rate in
Mongolia from 40 percent to 21 percent.
FM102-A
16:00-16:15
Financial Development and Economic Growth Revisited: Time Series Evidence
Ariuna Taivan
University of Minnesota Duluth, USA
Abstract: This paper examines the causality between financial development and economic
growth for over 80 countries around the world with different levels of per capita income during
1970-2014. I employed the vector autoregression (VAR) approach to conduct Granger
causality tests to determine the direction of causality relationship between financial
development and economic growth. The results provide evidence of two of the three main
views on the link between financial development and economic growth: the supply leading
2017 IEDRC BEIJING CONFERENCES
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theory (financial development causes economic growth or positive causality); and the demand
following response (economic growth causes financial development or reverse causality). The
results of this study suggest that: 1) there is a strong evidence that causality exists between the
financial development and economic growth, 2) direction of causality is bidirectional in
countries with higher GDP per capita; 3) an evidence of positive causality running from
finance to real sector growth for middle- and low-income countries. The findings are consistent
with earlier literature in that the direction of causality may be country specific. However, it
does not fully support King and Levine’s (1993a) conclusion that finance is a leading sector to
long run economic growth. The findings of this research give some further guidance as to
whether a well-developed financial sector is a necessary condition for a higher growth rates for
developing countries and provide an important policy implication both for OECD countries as
well as for countries that have financial sectors that are comparatively underdeveloped.
FM401
16:15-16:30
Determinants of Balance of Trade in the Sri Lankan Economy
Erandi Weerasinghe, Tissa Ravinda Perera
University of Colombo, Sri Lanka
Abstract: The Balance of Trade Deficit in Sri Lankan economy has experienced over the past
four decades and this paper examines to identify the macroeconomic variables that impact to
such situation. Thereby, this study mainly focused on four exogenous variables including an
endogenous factor which might be affected to the external balance of an economy. The model
used in this study is developed for First order autoregressive process as used by the most of the
studies carried out in the recent past relating to this area, by using the quarterly data from the
2000Q1 to 2015Q2. According to the empirical results, it was observed that Gross Domestic
Product, Volumes of Imports and Inflation rate have a significant impact to the Balance of
Trade deficit in Sri Lankan economy and nominal exchange rate and direct foreign investments
have not influence to the current situation of external trade. The most interesting findings of
the study is that positive relationship of exchange rate with the trade balance which has not a
significant factor and this results is not supported by the latest studies carried out for the
developed as well as developing countries in this area. Thereby, it can be concluded that the
policy measures taken during the past four decades of Sri Lankan economic history for the
exchange rate is less influence in terms of rectifying external balance problem in Sri Lanka.
16:30-16:45 Coffee Break
Venue: Orchid & Jasmine Room
2017 IEDRC BEIJING CONFERENCES
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Session 2
13:45-16:15, July 24, 2017
Venue: Hibiscus Room
Theme: IT Application and Social Management
Session Chair: Prof. Yu-cheng Lin *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.
**After the session, there will be a group photo for all presenters in this session.
ID Title+ Author’s Name
Opening
Speech
13:45-14:00
Applications of Civil Information Modeling (CIM) for Constructability Review in Railway
Construction Projects
Yu-cheng Lin, Chia-Pin Yen, Hsin-Tzu Hu
National Taipei University of Technology, Taiwan
Abstract: Usually, constructability analysis usually be reviewed and applied using 2D CAD
drawings for railway construction. The constructability analysis using 2D CAD drawings
usually cause time-consuming problems and problem misunderstandings. Furthermore, this
situation always makes the inconvenient of engineer and managers and also decreases the
efficiency in constructability work. Civil information modeling (CIM) is the latest concept and
technology in construction engineering. The main function of CIM includes presenting and
simulating construction operations by 3D model, and making constructability analysis by 3D
CIM models. In order to enhance the performance of constructability analysis, this study
proposes a CIM-based constructability analysis approach for general contractors during the
construction phase. The proposed approach is then applied in the Taiwan railway construction
projects to demonstrate the effectiveness of CIM-based constructability analysis in practice.
Finally, this study identifies the benefits, limitations, and facing problems through the real case
study. Finally, conclusion and suggestion are summarized for further applications.
BM0009
14:00-14:15
Exploring Barriers Underlying College Students’ Adoption of MOOCs
Long Ma, Chei Sian Lee
Tianshui Normal University, China
Abstract: MOOCs (Massive Open Online Courses) promise huge benefits to students by
delivering free course content anytime anywhere. The access to MOOCs will be beneficial to
students worldwide especially those in developing countries and regions. However, in contrary
to its projected vision, the adoption rate among students is still very low. The purpose of the
present study is to investigate the barriers that hinder students from using this educational
innovation. Specifically, Innovation Resistance Theory is applied as the theoretical foundation,
in which barriers derived from usage, value, risk, tradition and image are examined. By
conducting focus-group interviews with 69 college students, usage barrier and tradition barrier
were the most quoted obstacles to MOOC’s adoption among college students, followed by
value barrier and image barrier. Risk barrier was the least mentioned obstacle. In addition, our
results identified some additional factors (e.g., lack of self-control, publicity) which were not
included in innovation resistance theory but showed significant explanation power towards
students’ resistance to MOOCs. Implications and suggestions are discussed at the end of the
paper.
BM0016
14:15-14:30
Research on Adverse Drug Reaction Recognitions based on Conditional Random Field
Qingping Song, Bing Li, Yuyang Xu
University of International Business and Economics, China
Abstract: With the advent of the information age and the development of Internet plus medical
treatment, how to utilize the existing information technology to improve the recognition
efficiency of adverse drug reactions and reduce the monitoring costs is of great significance.
This paper treats adverse drug reactions as named entities based on the discriminant model of
Conditional Random Field, and designs a recognition framework based on social media. In the
experimental part, adverse drug reactions are identified by mining the user's tweets on the
Twitter, and seek to further improve the accuracy and normalization by mapping them to the
2017 IEDRC BEIJING CONFERENCES
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existing dictionaries. The results show that the recognition mechanism provides a certain
reference for medical text mining, which contributes to promoting the process of medical
informatization.
BM0039
14:30-14:45
Content Analysis and Spatial Analysis: A Case Study of Public Satisfaction of Indonesia
National Health Insurance
Ariph Satyanagara, Isti Surjandari,
Universitas Indonesia, Indonesia
Abstract: Indonesia as a country has an obligation to ensure the wellbeing of its citizen by
administering protection for each and every one of its citizen from all backgrounds. Said
protection should not only accommodate security and legal protection; However, it should also
incorporate health protection in the form of healthcare. Based on this premise, a national scale
program called Jaminan Kesehatan Nasional (JKN) was established. This then led to the
forming of the JKN organization called Badan Penyelenggara Jaminan Sosial (BPJS), which
has been running since January 2014. Overall, citizens have benefited from the initiation ever
since it started operation. Nevertheless, an opinion poll conducted by Kompas in 2015,
indicates that there are 42.9% unsatisfied BPJS users, 39.1% satisfied BPJS users, while the
remaining have no answers. On the grounds that two years have passed since the poll, a new
research is necessary in effort to examine deeper on the citizens’ sentiments about this
healthcare program. This research uses a content analysis approach to determine the portion of
opinions relating to the user experience and sentiment in order to illustrate the user’s opinion
on the service quality that Badan Penyelenggara Jaminan Sosial (BPJS) provides. The program
used in this research works based on the principle of Automated Content Analyses. The Twitter
reviews by BPJS users are utilized to represent opinions from different provinces.
Consequently, the result of this sentiment analyses reveals that the areas related to reliability,
tangibles, access to payment, and medical services are still dominated by negative responses.
The result of this assessment can be integrated into the evaluation process towards improving
the quality of BPJS as one of the supporting aspects of the Indonesian citizens’ health.
BM0041
14:45-15:00
Classifying Indonesian Online Articles as Advertisement Placement Base Using Text Mining
Nadhira Tasya, Arian Dhini
Universitas Indonesia, Indonesia
Abstract: Rapid development in technological aspect resulting in growing level of human
needs for the latest news, so that emerged a new trend of publishing and accessing news
through online media or usually called online journalism. In addition, the number of people
who sell and purchase through online sites also continues to increase and this opportunity is
utilized by the company and the advertiser by implementing targeted web advertising.
However, the high number of articles that have been published and accessed leads to great
opportunities for errors in determining where to place the ads. Therefore, it needs a system that
can categorize articles accessed by users as the basis of advertisement placement by the
company and this classification system can be done by applying the method of Data Mining
and Text Mining. This research uses document data in the form of article content that will be
categorized into twenty categories of class of advertisement by using Text Mining technique
with Support Vector Machine algorithm. The results of this study may be used by companies or
advertisers as a basis for placement of ads on selected online media sites.
2017 IEDRC BEIJING CONFERENCES
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BM1003
15:00-15:15
Hollywood Star Power and Securitainment as a Potential Response to Fears of Cyber Crimes
Ruifang Hope Sun
State University of New York, USA
Abstract: This presentation will discuss how Hollywood has long specialized in the use of fear
as a way to engage and entertain its audiences and how many contemporary films offer stories
that focus on a cybercrimes.
The presenter will explore how cybercrimes have been portrayed in several films since the
early 1983 to 2014, and look at some of the common themes in these films. The presenter will
then focus on the narratives of top 5 conventional Hollywood thrillers, namely, Algorithm
(2014), Blackhat (2015), Fith Estate (2013) and a couple of other files. The presenter will look
at how these movies tap into contemporary fears about technology and how they affect the
public’s perceptions about cyberattack. In addition, the presenter will ask whether there is a
place for film and television to support a different way of understanding potential cyber
threats, and to act as a form of “edutainment,” or “securitainment,” that is, to help educate the
public about appropriate strategies and responses to deal with potential threats.
BM1004
15:15-15:30
Study on Application of PSO with Time Window for User Recommendation in Research Social
Networks
Rui Hu, Chao Zhang, Xinliang Han
Beijing City University, China
Abstract: This paper proposed an optimized solution for user recommendation in research
social network. The major method applied was PSO with time window combined with
K-means clustering. The time window was brought in to raise the accuracy of optimal solution
searching and locate better cluster centers. The test showed that the PSO with time window
improved the accuracy by 95% although 18% more time were cost. The empirical experiment
indicated that this integrated algorithm could identify the similar user accurately, and it’s
valuable in practice.
BM1026
15:30-15:45
Establishment of Business Intelligence and Big Data Analysis for Higher Education
Michael Yao-Ping Peng, Sheng-Hwa Tuan, Feng-Chi Liu
Hsuan Chuang University, Taiwan
Abstract: The applications on business intelligence and big data analysis to extract useful
information are getting more mature, but the development and operations in higher education
institutions are still be lack. This study aims to explore how HEIs employ business intelligence
to analysis and mining student learning and HEIs’ operation data from database. The outcomes
are benefit for universities to support the management of decision-making.
FM007
15:45-16:00
Development of a New Model for Electricity Demand Forecasting
Yuqing Zhang, Betty Wang
Ningbo Xiaoshi High School, China
Abstract: When electricity sectors were regulated, utility monopolies used short-term load
forecasts to ensure the reliability of supply and long-term demand forecasts as the basis for
planning and investing in new capacity. However, since the early 1990s, the process of
deregulation and the introduction of competitive electricity markets have been reshaping the
landscape of the traditionally monopolistic and government-controlled power sectors. In many
countries worldwide, electricity is now traded under market rules using spot and derivative
contracts.[3] At the corporate level, electricity load and price forecasts have become a
fundamental input to energy companies’ decision making mechanisms. The costs of over- or
under contracting and then selling or buying power in the balancing market are typically so
high that they can lead to huge financial losses and bankruptcy in the extreme case. In this
respect electric utilities are the most vulnerable, since they generally cannot pass their costs on
to the retail customers.
While there have been a variety of empirical studies on point forecasts (i.e., the "best guess" or
expected value of the spot price), probabilistic - i.e., interval and density - forecasts have not
2017 IEDRC BEIJING CONFERENCES
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been investigated extensively to date. However, this is changing and nowadays both
researchers and practitioners are focusing on the latter.[8] While the Global Energy Forecasting
Competition in 2012 was on point forecasting of electric load and wind power, the 2014
edition aimed at probabilistic forecasting of electric load, wind power, solar power and
electricity prices.
This study follows the Monash Electricity Forecasting Model (MEFM) to predict the
probability distribution of electricity demand.
The model has been used to forecast the probability distribution of annual, seasonal and
weekly peak electricity demand and energy consumption for various regions of the National
Electricity Market (NEM, the Australian wholesale electricity market that covers the
electrically connected states and territories of eastern and southern Australia, and the
associated synchronous electricity transmission grid), the SWIS of Western Australia and the
Keilor Terminal Station in Victoria. Short-term forecasting software has also been developed to
forecast half-hourly electricity demand (up to seven days ahead) in South Australia and
Victoria.
First of all, the relationships between demand and the driver variables, including temperatures,
calendar effects and some demographic and economic variables, are estimated using
semi-parametric additive models (Ruppert, Wand, and Carroll, 2003). In the second stage, the
forecast distributions are obtained from the estimated model using a mixture of temperature
and residual simulations, and future assumed demographic and economic scenarios. Finally, to
evaluate the forecasting performance of the model, the actual demands of a summer with two
different types of predictions (ex ante forecasts and ex post forecasts) are compared.
FM016-A
16:00-16:15
Uses of Management Control Tools: Study on the Adaptation of Classifications to the Public
Sector
Nicolas Petit, Gulliver Lux
Sino-french Institute, Renmin University of China
Abstract: The purpose of this study is to focus on different types of management control tools
uses in public organizations. Burchell, Clubb, Hopwood, Hughes, and Nahapiet’s (1980) table
provides a typology of the organizational role of management control tools, which help clarify
how they work within organizations. This study determines whether the table matches the
specificities of public sector organizations.
On the basis of survey interviews, the different uses specified by managers of these
organizations are compared with Burchell and al’s table and Gioia’s methodology of analysis is
used.
The study results in a discussion of our findings.
First, we observe that despite their existence in the organization, even though there is a tool, it
will not necessarily be used – or increasingly used. It correspond to the result of studies on
information systems (Wyatt et al., 2003) and sociology studies (Jauréguiberry, 2010, 2012).
Thus, we propose to include and study the “non-use” to the analysis of management tool uses.
Secondly, we think that there is continuity between the different uses. The tools are used in
several ways, which thus makes them switch from one category of Burchell and al’s table to
another. This multi-use can even be simultaneous – there can also be a modification of the type
of use of the tool over time within a “life cycle,” which makes it evolve. Seeing tools has
having only one purpose seems to be a simplistic view, maybe related to the difficulty of
clearly identifying cause and effect relationships in an organization.
16:15-16:30 Coffee Break
Venue: Orchid & Jasmine Room
2017 IEDRC BEIJING CONFERENCES
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Session 3
16:45-19:00, July 24, 2017
Venue: Orchid & Jasmine Room
Theme: Business Management
Session Chair: Assoc. Prof. Haiying Ren *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.
**After the session, there will be a group photo for all presenters in this session.
ID Title+ Author’s Name
BM0014
16:45-17:00
Information Contents and Mediating Effects of Intellectual Capital and Financial Capital on the
Corporate Value Relevance of Business Strategy
Kuo-An Tseng, Shu-Hua Wang, Ching-I Lin, and Shih-Hung Tai
Lunghwa University of Science and Technology, Taiwan
Abstract: This research aims to explore the information contents of business strategy (BS),
intellectual capital (IC) and financial capital (FC) on corporate value, the mediating effects of
IC and FC on the corporate value relevance of BS, and the moderating effects of quantitative
easing (QE) monetary policy. This research combines the knowledge domains of strategy, IC,
and finance. The Strategy-Structure-Performance framework and structural equation modeling
are utilized to explore the corporate value relevancies as well as the mediating effects. The
research subjects are the information technology companies listed in the Taiwan Stock
Exchange, and the period covers thirteen years. Hot money flowed into the capital market
because of QE, and these subjects are further split into two sub-periods to check whether the
corporate value relevance differ between pre-QE and post-QE. The results show that the
mediating effects of IC and FC on the corporate value relevance of BS are confirmed, and the
information contents and corporate value relevancies of BS, IC, and FC are also demonstrated.
The significant differences are observed in the relationship among BS, IC, FC, and corporate
value between pre-QE and post-QE. The direct information content of BS on corporate value
and the mediating effects of IC and FC, which differ between pre-QE and post-QE, indicate the
moderating effects of the QE monetary policy on corporate value relevance, thereby supporting
the managerial contingency perspectives. The managerial meanings of these results emphasize
the importance of timing, and the related changes in the environment must be considered when
formulating industrial policies, conducting strategic management, and performing business
valuation.
BM0017
17:00-17:15
Analysis of Evaluating Dimensions of Chinese Express Hotels based on User Generated
Content
Jingxuan Zhang, Bing Li, Fei Teng, Can Cui, Yikai Deng
University of International Business and Economics, China
Abstract: As a burgeoning accommodation in Chinese tourist industry, Express Hotels enjoy a
steady improvement in their market share in recent days. In the meantime, the customers’
reviews on Express Hotels in tourism forums increase rapidly. However, there are few research
analyzing the customer focuses and satisfaction of the Express Hotels using their online
reviews. Therefore this study aims at clustering different review dimensions of user generated
content on Express Hotels, and analyzing satisfactions of each dimension through a text
clustering method using semantic similarity, and then gives some advises to management of
the Express Hotels and user generated content(UGC).
BM0018
17:15-17:30
Correlation Analysis between the Products Involvement and Audience Satisfaction of the Web
Fiction-adapted Teleplay
Wenfeng Liang, Hongjie Chen, Xiaoran Ti, Lushan Guo
Beijing Institute of Graphic Communication, China
Abstract: To understand audience’s satisfaction and product involvement of the web
fiction-adapted teleplay and promoted the teleplay profit, based on questionnaire survey, the
reliability, factor, descriptive, relevance and cluster analysis were conducted through the SPSS
with demographic variables, viewing habits as independent variables and audience’s
2017 IEDRC BEIJING CONFERENCES
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satisfaction and product involvement as dependent variables. The results showed that: the
satisfaction of the audience was positively correlated with product involvement, and there were
diversities between watching habits and the audience’s satisfaction and product involvement.
Gender, age, educational level and occupation had no effect on product involvement, but there
were significant diversities between the audience’s monthly cost, viewing habits and product
involvement. Gender, age, monthly cost, occupation had no impact on satisfaction, but there
were significant diversities between the audience’s educational level, watching habits and
satisfaction.
BM0038
17:30-17:45
A Transitivity Analysis of On-line Product Descriptions—A Case Study of Book Product
Descriptions
Huan Wang, Lei Zhao, Jianhua Jiang
Jilin University of Finance and Economics, China
Abstract: Transitivity is a very important linguistic term in Systemic-Functional Grammar.
Many scholars gradually start applying transitivity system into discourse analysis, especially in
literature works, news and speeches. Taking the transitivity system as the theoretical
framework, this paper describes the transitivity distribution of on-line book product
descriptions by employing a combination of qualitative and quantitative research methods. It
has been found that the occurrence rate of transitivity distribution, material processes and
relational processes are the most frequently used processes; whereas, verbal processes and
mental processes are the subordinate processes with lower occurrence rate; behavioral
processes and existential processes never occur. This research testifies the feasibility and
adaptability of the appliance of Systemic-Functional Grammar in book product descriptions
and provides a new perspective for discourse analysis.
BM0046
17:45-18:00
How can Risk Propensity Mediate the Effect of Trait Anxiety on Entrapment Behavior?
Somayeh Khoshsoroor, Dapeng Liang, Ehsan Chitsaz, Hanieh Alizadeh
Harbin Institute of Technology, China
Abstract: Despite the importance of understanding the team’s aspects of organizational
decision-making, prior research has paid scant attention to the role of teams in escalation of
commitment. This article attempts to fill this gap by examining the relationship between team’s
trait anxiety and escalation of commitment. Furthermore, this study extends research on team’s
escalation behavior by investigating the mediating role of risk propensity in teams. Our results
demonstrate the risk propensity mediate the relationship between team’s trait anxiety and
escalation of commitment. Practical implications and some limitations has discussed.
BM1021
18:00-18:15
An investigation into External Environment Factors affecting Performance of Small and
Medium Enterprises in Cote d’Ivoire
Diabate Ardjouman, Lariaa Mingaine
Shanghai University, China
Abstract: The purpose of this paper is to investigate into the external environment factors
affecting performance of SMEs in Cote d’Ivoire. This was designed to provide greater
understanding of the impact of environmental changes specifically as they relate to SMEs. This
study was conducted through a descriptive research. SMEs were selected using stratified
sampling method. The selected SMEs are from various sectors including food, curio, textile,
beverages, and services. Questionnaire was used as the main tool for collecting data. The
findings revealed that several external factors ranging from political, economic, technological,
socio-economic and government policies affects the performances of SMEs to a large extent.
This study therefore recommends that the government should make sure there is conducive
political environment so that the SMEs could thrive. It should also play a leading role in
educating SME practitioners on the incentives available to them and how to access them.
2017 IEDRC BEIJING CONFERENCES
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FM022
18:15-18:30
The Impacts of Product Packaging Elements on Brand Image And Purchase Intention-An
Empirical Study of Phuc Long’s Packaged Tea Products
Mai Ngoc Khuong, Nguyen Thi Huyen Tran
International University - Vietnam National University, Ho Chi Minh City
Abstract: This research aimed to examine the effects of product packaging on purchase
intention through the mediating role of brand image, with the example of Phuc Long’s
packaged tea products. Quantitative approach is applied with the sample size of 410 consumers
living in Ho Chi Minh City (HCMC), Vietnam. The results showed that packaging font,
picture, shape and color have direct and indirect associations with purchase intention whereas
product information, ease of use and handle have indirect ones. However, material and size do
not have any influences. Suggestions are given to develop a differentiated packaged for tea
products by: (1) using eye-catching pictures and (2) vivid colors, (3) designing a good
packaging shape, (4) carefully choosing the amount of product information, and (5) designing
an easy-handling, or -opening and -closing, or -disposing package.
FM026
18:30-18:45
The Impact of Atmospheric Factors on Repurchase Intention at Upscale Restaurants in Ho Chi
Minh City, Vietnam
Mai Ngoc Khuong, Dao Ngoc Quynh
International University - Vietnam National University, Viet Nam
Abstract: This study aimed to explore the atmospheric factors that impact customer
repurchase intention at upscale restaurant, thus, provide learning and recommendations for
restaurant owners in Ho Chi Minh City to adjust marketing strategy. In relevant to Ho Chi
Minh context, this study conducted the research of 6 main factors including: Sight, Scent,
Touch, Menu, Music and Social Factors with totally 15 sub-factors with 82 items. Based on the
result of Regression Analysis, there were 5 remaining variables influencing Repurchase
Intention at upscale restaurant namely 1) External Facility from Sight, 2) Congruent Scent
from Scent, 3) Menu, 4) Music background from Music and 5) Employee Attitude from Social
Factors. These accounts for 59.7% of Repurchase Intention.
FM202
18:45-19:00
Corporate Social Performance: A Multi-Stakeholder Analysis of Indonesian Energy
Companies’ Sustainability Report
Amelia Kurniawati, TMA Ari Samadhi, Iwan Inrawan Wiratmadja, Indryati Sunaryo, Rayinda
Pramuditya Soesanto, Fadel Muhammad
University Telkom, Indonesia
Abstract: Energy companies in Indonesia hold an important role in the Indonesian economy.
Related to their important roles and responsibility in maintaining corporate sustainability in
managing the business that related to non-renewable resources, energy companies in Indonesia
publish their Sustainability Report as their commitment to providing information for
stakeholders on corporate governance, performance, and strategy. As a part of performance
measurement, energy companies in Indonesia also consider the importance of
multi-stakeholder perspective in the making of a sustainability report. Performance
measurement which involves multi-stakeholder is known as Corporate Social Performance.
The purpose of this research is to develop the CSP measurement indicators from the
multi-stakeholder perspective, to identify the most and the least discussed indicators in the
sustainability reports of seven energy companies in Indonesia from the latest three years
reports, and then to be compared with sustainability reports from two automotive companies
and two cement companies. The result of this research are developing CSP measurement
consisting of 38 indicators that categorized into six categories, which are customer focused,
community focused, shareholder focused, supplier focused, an environment focused, and
employee focused. The most discussed indicators in Sustainability Reports of energy
companies in Indonesia are in environment focused category and the least discussed indicators
are in supplier focused category.
19:30-21:00 Dinner Banquet
Venue: Hotel Restaurant
2017 IEDRC BEIJING CONFERENCES
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Session 4
16:30-19:00, July 24, 2017
Venue: Hibiscus Room
Theme: Market Analysis and Marketing Management
Session Chair: Prof. Jin Wang *The time slots assigned here are only tentative. Presenters are recommended to stay for the whole session in case of any absence.
**After the session, there will be a group photo for all presenters in this session.
ID Title+ Author’s Name
BM0010
16:30-16:45
Online Purchase Intention based on TAM and IAM: A Literature Review
Yu Wang
Tohoku University, Japan
Abstract: With the popularity of Internet and the appearance of e-commerce, the issue about
how to affect the purchase intentions of Internet users becomes one of the most popular topics
in the research field of consumer behavior. Obviously, understanding the relevant mechanism
contributes greatly to utilizing the influential factors to affect consumers. Among relevant
researches, the researches based on the Technology Acceptance Model (TAM) and Information
Adoption Model (IAM) are representative, valuable and practical. Hence, this article analyzes
and summarizes the existing studies using TAM and IAM for studying online purchase
intention respectively by dividing those studies into different categories: 1) using original
model, 2) adding variables into the model and 3) building up complex models based on the
model. Finally, implications are provided for future research and applications.
BM0023
16:45-17:00
An Investigation on Online Shopping Behaviors in the Singles Day: The Role of Gender
Qingyu Zhang, Cui Li, Chunling Zhang, Kang Wang
Shenzhen University, China
Abstract: With the development of science and technology, more and more people start to buy
goods online, especially in “The Singles Day” promotion. This paper mainly analyzed the
influence of gender differences on online shopping behaviors in “The Singles Day” of 2016.
The model was tested by an empirical analysis. Data were collected through online
questionnaire survey. 287 responses were received with 29 invalid resulting in 258 usable
returns. The results indicated that males were more likely than females to be convenience
seekers, rational buyers, and have high risk aversion. Female online buyers had a higher level
of propensity to trust. Based on these results, some suggestions are proposed to the owner of
online stores.
BM0025
17:00-17:15
Market Structure and Competitive Behavior of China’s P2P Lending Industry
Kai Qiao, Yihan Dong, Peiwu Dong
Beijing Institute of Technology, China
Abstract: This paper calculates the industrial concentration ratio (CR) and
Herfindahl-Hirschman Index (HHI) of China’s P2P lending industry and explores the
competitive behavior between P2P lending platforms. We find the concentration degree of the
industry is very low in June 2015, which implies the competition between lending platforms is
extremely fierce and the development mode is relatively extensive at that time. After a short
period of decline, the concentration degree starts to increase in April 2016 due to the
government’s regulation. In April 2017, the market structure of the industry has changed to
oligopoly. Even so, to make the industry develop healthily, strict regulation is still needed. In
addition, we also find it is the relative strength of network externality decides which sides the
platforms make subside to. Finally, we find the reputation plays an important role in platform
development. If a platform has good reputation, it tends to raise its service fees and its one side
market share will increase with the growth of the other side market capacity. This explains the
phenomenon of “The-Winner-Takes-All” from another perspective. Since reputation is so
important in the development of P2P lending platform, we suggest building a reputation
management mechanism.
2017 IEDRC BEIJING CONFERENCES
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BM0028
17:15-17:30
Does Customer Perception really Influence Customer Retention? A Conditional Indirect Effect
Analysis
Chien Lung Hsu, Yi-Chuan Liao
Takming University of Science and Technology, Taiwan
Shandong University, China
Abstract: Mobile shopping have recently become a popular trend on the internet, and are
quickly becoming one of the most important social media tools. In this study, we explore the
way community connection mediates the linkage between user perception and customer
retention in microblogs. It further develops a moderated mediation model to argue the
mediating effects are moderated by community adaptivity. A sample comprise 543 consumers
is utilized in the analyses. A moderated mediation approach reveals the mediating role of
community connection on the link between perceived usefulness and customer stickiness;
however, this mediating effect cannot be moderated through community adaptivity. On the
other hand, the results indicated the relationship between the perceived ease of use and
customer stickiness is not mediated by community connection. However, after considering the
moderating effect, our results indicate moderated mediation exists. In sum, we illustrate how
membership mediates the relationship between user perception and customer retention, and
how the mediating process varies as a result of the functionality of the adaptive system.
Second, we contribute to internet marketing literature by showing how membership plays a
crucial mediating role by creating a sense of belonging and bonding together, thus creating
customer value in the virtual community of the microblog. We further discuss the use of
adaptive systems to generate different mediating processes, which emphasizes the requirement
for customized messages to fit customer needs and deliver more valuable information for
users.
BM0029
17:30-17:45
The Like Economy: The Impact of Interaction Between Artists and Fans on Social Media in
Art Market
Xin Kang, Wenyin Chen
National Taipei University of Technology, Taiwan
Abstract: In the mobile web era, the growth of art is also due to the social media showing a
differentiated development. Instagram and Facebook are increasingly influencing what art
people buy. This paper explores the development of art by analyzing the artist’s data on
Instagram and artwork purchaser questionnaire in the online art market. From this, discuss the
complex interactive between “We Media” artists and their fans influence the art-market, and
conceptual them as a part of so-called “Like Economy”.
BM0030
17:45-18:00
Intelligent Smart Bait Fishing: A New Mobile App Business Model
Yueliang Lu, Fadi Thabtah
Nelson Marlborough Institute of Technology, New Zealand
Abstract: New Zealand has a long history of fishing, being an island nation. Almost 20% of
the population favors recreational fishing. Knowing the best fishing spots and type of bait, in
addition to the right time of day, are the keys to the success of catches. Having this information
on a mobile app would be useful to anglers. There are many fishing apps available from the
iTunes app market. However, after investigating the existing iTunes app store, there is no
highly integrated app with social capability and fishing functionality available. This article
proposes a new fishing mobile application that adopts Apple SWIFT technology, which
supports the Windows and Linux platforms, to ensure its future sustainable development.
Social network capability of this app includes a bite-time check, fishing trip arrangement,
statistics, and a fishing knowledge base. By using the proposed app, the anglers can share their
fishing activity with family and friends by simply synchronizing the post to social media.
Moreover, government or non-government agencies can share the movement and distribution
of marine wildlife by analyzing the available information collected by the app.
2017 IEDRC BEIJING CONFERENCES
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BM0042
18:00-18:15
Classifying Purchase Decision based on User Clickstream in E-Commerce Using Web Usage
Mining
Surya Yehezki, Arian Dhini
Universitas Indonesia, Indonesia
Abstract: The advance of internet usage in Indonesia gives positive impact on the
development of e-commerce in Indonesia where 63.5% of internet users have made online
transactions. Along with e-commerce B2C growth in Indonesia, firm needs for an effective
promotional strategy to understand the preferences and potential purchases for each consumer
to increase return on investment (ROI). This empirical study investigated purchase decision of
e-commerce users using Web Usage Mining framework. The high combination of purchasing
product categories by users of e-commerce website required a multi-label classification
technique that could classify those pair of purchase decision. Label Powerset method with
Support Vector Machine (SVM) algorithm was applied to classify e-commerce users purchase
decisions using general and detailed information features. Feature selection using Information
retained 60 from 90 features. The proposed feature selection with Information Gain and
parameter selection using Grid Search proved that they had an ability to enhance performance
to classify purchase decision of e-commerce user. Radial Basis Function (RBF) as the most
effective kernel presented an accuracy of 75.6%, with slightly difference of 2.2% with
classification without using feature selection.
BM0043
18:15-18:30
Identifying Consumer Buying Behavior Differences through Market Basket Analysis in
Multiple Outlet Types
Nurfitriana Tri Utami, Isti Surjandari
Universitas Indonesia, Indonesia
Abstract: Retail business in Indonesia is growing rapidly and it causes a sales competition
conducted by retailers. Therefore, a strategy is needed to expand the consumer market. In order
to expand the current market, companies need to pay attention to customer satisfaction that will
affect the sustainability of product purchasing activities. Market basket analysis is done to
extract consumer buying behavior by identifying the associations of various products that
consumers put on the shopping basket. This study was conducted to observe whether outlet
type affects consumer buying behavior. There are two types of outlets based on their placement
locations, which are outlets located within shopping centers and stand-alone outlets. The data
used in this study was taken from customer purchase transactions database. Since the purchase
transactions made by consumers were large, then data was processed using data mining
techniques. Apriori algorithm was applied for finding frequent item-set. The minimum support
used in data processing was 12%, while the minimum confidence used was 70%. Based on
these results, it can be concluded that the pattern of consumer purchases in outlets within the
shopping center was making a purchase with a few number of product category combinations,
while in stand-alone outlets were engaged in transactions with the number of combinations of
more product categories. The difference can be observed from the association pattern
generated from each type of outlet. By knowing the pattern of consumer purchases at each
outlet viewed from the product association, the company can determine the right strategy to
increase the market for each type of outlet.
BM1022
18:30-18:45
Shopping Environment: A Preliminary Investigation of Gulf Tourists’ Emotion, Shopping
Intention and Word of Mouth Intention
Alalyani, Abdulrahman Saleh M, A.Y.M. Atiquil Islam, Alaliani, Reem Abdulrahman M,
Norzalita Abd Aziz Universiti Kebangsaan Malaysia, Malaysia
Abstract: Tourists’ shopping tendency has been dramatically growing and contributing to the
economic sectors around the world. However, literature indicates that the insufficient
investigations have been conducted on tourists’ shopping environment, emotion (pleasure,
arousal and dominance), word of mouth intention and their shopping intentions, especially by
focusing on Gulf Cooperation Council (GCC) tourism in Malaysia. As such, the prime aim of
2017 IEDRC BEIJING CONFERENCES
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our study was to validate the conceptual model in examining the tourists’ shopping
environment, emotion, word of mouth intention and shopping intention for GCC tourism in
Malaysia. A total of 400 GCC tourists (Saudi Arabia, Kuwait, Oman and UAE) were collected
from Malaysia using quota sampling procedure. The questionnaire of our study was developed
based on prior studies and validated using Exploratory Factor Analysis (EFA) through SPSS
version 21. The conceptual model of our study was tested applying Structural Equation
Modeling using AMOS version 18 and estimated the causal relationships among the proposed
constructs. The results of our study exhibited that shopping environment had direct influence
on pleasure, arousal and dominance, respectively. GCC tourists’ word of mouth intention was
directly affected by pleasure and shopping intention. Moreover, pleasure, arousal and
dominance had direct influence on GCC tourists’ shopping intention, respectively. Finally,
tourists’ shopping environment had indirect influence on shopping intention mediated by their
pleasure and dominance. The findings of our study provide a better understanding of GCC
tourists’ perceptions on shopping environment, emotion, word of mouth intention and their
shopping intention for future researchers, tourism managers and academicians.
BM1023
18:45-19:00
Modeling of Revisit Intention: An Empirical Study on Tourists’ Electronic Word of Mouth,
Destination Image and Perceived Risk
Alaliani, Reem Abdulrahman M, A.Y.M. Atiquil Islam, Alalyani, Abdulrahman Saleh M,
Norzalita Abd Aziz
Universiti Kebangsaan Malaysia, Malaysia
Abstract: Economic crisis or instability has been unexpectedly growing around the world,
whilst tourism emerges to be substantially contributing factor for overcoming this situation.
Although literature indicates that tourists’ revisit intention has not sufficiently investigated,
especially in Malaysian context. As a result, the main objective of our study was to determine
the underlying factors that affect Arab tourists’ revisit intention to Malaysia. To investigate the
tourists’ revisit intention, the present study proposed a conceptual model consisted of
electronic word of mouth, perceived risk, cognitive, affective and unique images. To validate
the conceptual model, a total of 400 Arab (Saudi Arabian, Omani, Kuwaiti and UAE, also
known as Gulf Cooperation Council) tourists were collected from several tourist spots in
Malaysia using quota sampling procedure. The validity of the survey instrument was
performed using Exploratory Factor Analysis (EFA) through SPSS software version 23. The
application of Structural Equation Modeling (SEM) was employed to analyze the data using
AMOS software version 18. The findings of our study showed that electronic word of mouth
had direct effect on tourists’ cognitive, affective and unique images, respectively. On the other
hand, cognitive, affective and unique images had direct effect on tourists’ revisit intention.
Finally, tourists’ electronic word of mouth had an indirect effect on their revisit intention
mediated by affective image, while perceived risk did not have any effect on tourists’ revisit
intention, cognitive, affective and unique images. These results contribute to the body of
tourism knowledge for future researchers, academicians and tourism managers to predict and
observe tourists’ revisit intentions as well as its underlying predictors.
19:30-21:00 Dinner Banquet
Venue: Hotel Restaurant
2017 IEDRC BEIJING CONFERENCES
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Poster Session
FM015
Bibliometrics Analysis of Complex Networks Research
Yongan Zhang, Yiyuan Zhou,
School of Economics and Management, Beijing University of Technology, China
Abstract: This paper analyzes literatures in the field of complex networks retrieved from Web
of Science data source, using method of bibliometric analysis, visualization analysis and
analyzes the research status and development trends, including the overall growth trend,
geographical distribution, research related fields, research hotspots and boundary evolution
analysis, in order to show the research status and development trend in this field in detail.
Results indicate that: today, the research of complex networks has been into a period of
vigorous development, parts direction of the research have been reaching maturity; China's
research in the field is at the forefront level among international; As a new research field, the
basic theory of complex network are penetrating the academic disciplines, especially in the
field of computer and engineering, and reflects the characteristics of multidisciplinary cross, in
the future, complex network research will be more broad; The future research direction and
hotspot may involve complex network algorithm analysis and design, the dynamics of complex
network synchronization, a complex network structure identification and control of complex
networks.
FM020
Research on Evolution and Visualization Analysis of Application of Big Data
Zhang Yongan, Zhang Yuxiaodan
Beijing University of Technology, China
Abstract: Based on literatures relevant to application of big data included in the Web of
Science database as the data sources, this paper used CiteSpace as the research tool to visualize
the distribution of keywords, evolution of hot spots and evolution rules. After that, this paper
analyzed the hot spots, contexts, tool technologies and application fields of application of big
data, so as to reveal the current situation of researches. The study indicates that existing
researches involve a wide range of disciplines and technology is still the center of current
researches. At present, the majority of the studies all focused on the field of management,
network, information, medicine, health, environment, energy and etc. Overall, technology is
still the important part in current research on application of big data. Technical tools, such as
data mining, algorithms, cloud computing, mapreduce, hadoop, machine learning all provide
strong supports for the practical application of big data.
BM0015
Study on Users’ Adoption Behavior for Internet Chauffeured Car
Yongbo Jiang, Wenlong Zhu
Qingdao University of Technology, China
Abstract: Internet chauffeured car (abbreviated as ICC) appears under the background of
wisdom traffic. It is one of representatives of the closed-loop O2O mode, but research about its
users’ adoption behavior is not rich. Our study is based on the user’s view. Firstly, we construct
a conceptual model about the influencing factors of ICC users’ adoption behavior by
introducing unified theory of acceptance and use of technology (UTAUT) integrating with
perceived risk theory and habit theory. Secondly, we use structural equation model (SEM) to
analyze the factors’ influencing direct and extent. Results show that performance expectancy,
effort expectancy and social influence prompt the formation of ICC users’ adoption intention
significantly; perceived risk hampers the formation of adoption intention significantly; but the
expected inhibiting effect of perceived cost on adoption intention is not significant. As for
adoption behavior, facilitating conditions and adoption intention have markedly prompting
effect, and habit has notable moderating effect. The results can provide some reference for
platforms to promote their service and make related management policies.
2017 IEDRC BEIJING CONFERENCES
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BM0040
Research on Retirement Pension
Qiming Feng, Suping Qian
Wuxi Institute of Commerce, China
Abstract: This paper introduces the research on the retirement pension for retired enterprise
employees. Accordingto the simplified and reasonable assumptions about China’s economy
development and wage growth situation in the future. The prediction models on average annual
wage and shortage are established. It is concluded that the substitution rate is lower than the
target substitution rate, and the payment years for contribution is longer, the substitution rate is
greater, on the contrary, it will be difficult to achieve a balance between the sum of
contribution and the sum of retirement pension.
BM0047
Predicative Model for Uber Ridership in New York City
Shaochen Zhu, Betty Wang,
St. Mark’s School, USA
Abstract: Objective: This study aimed to build a predictive model for Uber ridership in New
York City.
Data: Uber rides data is downloaded from GitHub. The data were collected during January
2015 to June 2015 and had ridership information for all the five boroughs of New York City.
We used a random sample of 50% whole data to build a predictive model, and used the other
50% to validate the model and further used bootstrap data for model validation. Mean squared
errors (MSE) were calculated. The predicted riders and the observed riders were compared to
measure the performance of the predictive model. All the analysis was done using free
statistical software R.
Results: A total of 20490 observations including hourly ridership information were extracted
for this study. A total of 10245 observations were selected in training sample for model
building, and 10245 in test sample, and 500000 in bootstrap sample which was based on test
sample were used for model validation. A total of 7171685 riders were in training sample,
7092530 in test sample, and 345936605 in bootstrap sample. The predicted risers were
7171685 riders in training sample, 7134560 in test sample, and 348357233 in bootstrap
sample. The predictive model performed well in the split sample which was not used for
model building and bootstrap sample. The MSE was 142,866 in training sample, and 141,142
in test sample and 141480 in bootstrap sample. The observed ridership and predicted ridership
were close to each other in each month of Jan-June, in each hour, in each week day, and in
each district in New York city.
Conclusions: A predictive model was built and validated using public available data for Uber
ridership in New York city. It could be used to predict the business opportunities for Uber and
help to make an informed decision regarding resource allocation.
BM1007
The Study of Mechanism for the Impact of Professional Differences and Emergency
Cooperation on Inter-organizational Partnerships-based on the Way of Information
Transmission
Guobin Wu, Xuefei Chen, Haiyan Li
Wuhan Textile University, China
Abstract: In this paper, we discussed the effect mechanism of professional differences and
emergency cooperation on inter-organizational partnerships, validated the intermediary effect
of information transmission in professional differences and emergency cooperation, and the
moderating effects of task uncertainty in professional differences and the way of information
transmission (information forwarding and information sharing), then we proposed the
conceptual model and research hypothesis. By analyzing 255 emergency teams at all levels and
members of the investigation data, the assumptions for the model and analysis results show
that professional differences have a negative impact on emergency cooperation and
information forwarding and sharing. At the same time, information forwarding and sharing act
as an intermediary role between professional differences and emergency cooperation. Task
uncertainty has positive moderated effects between professional differences and the
2017 IEDRC BEIJING CONFERENCES
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information sharing, not the information forwarding.
BM1028
Research on the Risk Spillover Effect of China's commercial banks Based on Quantile
Regression
Shou Hui
Abstract: In this paper, I empirically study on eight different types of sample commercial
banks by CoVaR model and quantile regression techniques. The new find is that from
perspective of liquidity, the larger asset banks face higher liquidity risk, which is more likely
lead to spillover aggregation of systemic risk. However downturn in the macroeconomic cycle,
medium and small banks are more prone to risk spillover cause systemic risk. Therefore, policy
recommendations are that the banking supervisory authority focuses on not only the traditional
sizeable international banks asset, but also concerned about the medium and small banks of
excessive business growth. These banks are also systemic risk aggregation and initiator of
financial crisis.
Listeners’ List
Listener 1 Fadel Muhammad University Telkom, Indonesia
Listener 2 Priniti Panday
Roger Williams University, USA
Listener 3 Zhou Meng
Rakuten, Japan
Listener 4 Ling Li
Army Engineering University, China
2017 IEDRC BEIJING CONFERENCES
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Academic Visiting/City Visiting Beijing, formerly romanized as Peking, is the capital of the People's Republic of China and the world's third most
populous city proper. It is also one of the world's most populous capital cities. The city, located in northern China, is
governed as a direct-controlled municipality under the national government with 16 urban, suburban, and rural districts.
Beijing Municipality is surrounded by Hebei Province with the exception of neighbouring Tianjin Municipality to the
southeast; together the three divisions form the Jingjinji metropolitan region and the national capital region of China.
Here we recommend some sightseeings for you, but not the detailed arrangement.
Tian'anmen (the Gate of Heavenly Peace), is located in the center of Beijing. It was first built in 1417 and named
Chengtianmen (the Gate of Heavenly Succession). At the end of the Ming Dynasty, it was seriously damaged by war.
When it was rebuilt under the Qing in 1651, it was renamed Tian'anmen, and served as the main entrance to the
Imperial City, the administrative and residential quarters for court officials and retainers. The southern sections of the
Imperial City wall still stand on both sides of the Gate. The tower at the top of the gate is nine-room wide and five –
room deep. According to the Book of Changes, the two numbers nine and five, when combined, symbolize the supreme
status of a sovereign. During the Ming and Qing dynasties, Tian'anmen was the place where state ceremonies took
place. The most important one of them was the issuing of imperial edicts.
The temple of heaven in Beijing is located in Beijing, in the southeast of Beijing WaiCheng. Located in the south of
the palace, the south east ZhengYangMen outside. In the eighteenth year of yongle (was built in 1420). Ancient
Chinese Ming and qing dynasties emperors, praying. Area for 273 hectares. Qing dynasty emperors used to "good",
"the ceremonial buildings. The temple of heaven in Beijing area 272 million square meters, the area is also forbidden
palace (,) are two walls wall, and the altar, and major architectural form QiNianDian, huang arch, the space. The
building in the vertical axis. The altar round, the symbol of the south north wall round. In the south, the high places
round in the north, two good places on the altar with a north-south axis, the middle wall.
2017 IEDRC BEIJING CONFERENCES
38
Summer Palace, located in the northwest Beijing Haidian District, 15 km from the Beijing City. Covering an area of
about 290 hectares, the existing Summer Palace is China's largest, most complete preservation of the imperial garden,
the Summer Palace, the palace was originally Qing Dynasty emperors and Garden.
Shichahai
As the saying goes, "after the shichahai lake city", also known as "houhai" Beijing quadrangles old Peking man has
always been a good place for recreation. Because of its beautiful environment, and the folk custom charm, more than
two hundred years to attract a number of senators, famous and even the relationship of people here, or government, or
built temples, more sacrifices are added profound cultural background.
2017 IEDRC BEIJING CONFERENCES
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Call For Papers
2017 8th International Conference on E-business, Management and Economics—ICEME 2017, will be held during October 27-29, 2017, in Birmingham, UK. ICEME2017, organized by IEDRC, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of E-business, Management and Economics, and discuss the practical challenges encountered and the solutions adopted.
The conference will be held every year to make it an ideal platform for people to share views and experiences in E-business, Management and Economics and related areas.
Publication International Conference Proceedings Series by ACM, which will be archived in the ACM Digital Library, and sent to be indexed by Ei Compendex and Scopus and submitted to be reviewed by Thomson Reuters Conference Proceedings Citation Index (ISI Web of Science).
International Journal of e-Education, e-Business, e-Management and e-Learning (IJEEEE), (ISSN: 2010-3654), which will be indexed by Engineering & Technology Digital Library, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET).
Topics Topics of interest for submission include, but are not limited to: Accounting Management Information Systems Advertising Management Management Science Business & Economics Product Management Business Ethics Public Choice Business Intelligence Strategic Management
Submission Methods 1. Email: iceme@iedrc.org 2. EasyChair System: http://www.easychair.org/conferences/?conf=iceme2017
Important Dates Submission Deadline Before August 25, 2017
Acceptance Notification On September 15, 2017
Registration Deadline Before September 30, 2017
Conference Date October 27-29, 2017
2017 IEDRC BEIJING CONFERENCES
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The 2017 8th International Conference on Economics, Business and Management (ICEBM 2017) will be held in Townsville, Australia during November 17-19, 2017. It aims to provide a forum for researchers, scientists, engineers, and scholar students from both the industry and the academia to share their newest research findings and results.
Publication Publication in JOEBM. Submissions will be reviewed by the conference committees and journal editorial board, and accepted papers will be published in International Journal of Economics, Business and Management (JOEBM) , which will be indexed by DOAJ, Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest, etc.
Topics Topics of interest for submission include, but are not limited to: Accounting Information Technology Management Advertising Management Labor Economics Change Management Management Information Systems Corporate Finance and Governance Product Management Financial Economics Public Economics and Finance
Submission Methods 1. Email: icebm@iedrc.org 2. EasyChair System: https://easychair.org/conferences/?conf=icebm2017
Important Dates Submission Deadline Before August 30, 2017
Acceptance Notification On September 20 2017
Registration Deadline Before October 10, 2017
Conference Date November 12-14, 2017
2017 IEDRC BEIJING CONFERENCES
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2018 3rd International Conference on Marketing, Business and Trade (ICMBT 2018), which will be held in San Diego, USA during January 11-13, 2018 by IEDRC. ICMBT 2018, aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Marketing, Business and Trade, and discuss the practical challenges encountered and the solutions adopted.
The conference will be held every year to make it an ideal platform for people to share views and experiences in Marketing, Business and Trade and related areas.
Publication International Journal of Trade, Economics and Finance (IJTEF) ISSN: 2010-023X Frequency: Bimonthly DOI: 10.18178/IJTEF Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Director
Journal of Economics, Business and Management (JOEBM) ISSN: 2301-3567 Frequency: Monthly (Since 2015) DOI: 10.18178/JOEBM Abstracting/ Indexing: Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
Topics Topics of interest for submission include, but are not limited to: Government Policy and Regulation Auditing Regulatory Economics Commercial law Institutional Economics Contingent Pricing; Futures Pricing Commercial Policy; Protection; Promotion; Trade Negotiations Insurance; Insurance Companies Trade and Environment Financing Policy; Capital and Ownership Structure
Submission Methods 1. Email: icmbt@iedrc.net 2. EasyChair System: http://www.easychair.org/conferences/?conf=icmbt2018
Important Dates Submission Deadline Before September 10, 2017
Acceptance Notification On September 30, 2017
Registration Deadline Before October 20, 2017
Conference Date January 11-13, 2017
2017 IEDRC BEIJING CONFERENCES
42
2018 7th International Conference on Economics Business and Marketing Management (CEBMM 2018) will be held in Da Nang, Vietnam during February 23-25, 2018.
CEBMM aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Economics Business and Marketing Management, and discuss the practical challenges encountered and the solutions adopted.
Publication
Journal of Economics, Business and Management (JOEBM, ISSN: 2301-3567, DOI: 10.18178/JOEBM), and will be included in DOAJ, Engineering & Technology Library, Electronic Journals Library, Ulrich's Periodicals Directory, MESLibrary, Google Scholar, Crossref, and ProQuest.
International Journal of Trade, Economics and Finance (IJTEF, ISSN: 2010-023X; DOI: 10.18178/IJTEF) and will be included in Engineering & Technology Digital Library, ProQuest, Crossr ef, Electronic Journals Library, DOAJ , EBSCO, and Ulrich's Periodicals Directory.
Topics Topics of interest for submission include, but are not limited to: Accounting Economic Policy Business & Economics International Economics Business Information Systems Management Science Change Management Product Management Consumer Behavior Strategic Management
Submission Methods 1. Email: cebmm@iedrc.org 2. EasyChair System: https://easychair.org/conferences/?conf=cebmm2018
Important Dates Submission Deadline Before October 20, 2017
Acceptance Notification On November 10, 2017
Registration Deadline Before November 30, 2017
Conference Date February 23-25, 2018
2017 IEDRC BEIJING CONFERENCES
43
2018 7th International Conference on Economics and Finance Research (ICEFR 2018), which will be held during April 07-09, 2018, in Prague, Czech Republic.
ICEFR 2017 aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Economics and Finance Research, and discuss the practical challenges encountered and the solutions adopted. The conference will be held every year to make it an ideal platform for people to share views and experiences in Economics and Finance Research and related areas. For more details of the conference schedule, please feel free to contact us at icefr@iedrc.org.
Publication
International Journal of Trade, Economics and Finance (IJTEF, ISSN: 2010-023X, DOI: 10.18178/IJTEF) as one volume, and will be included in Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, EBSCO, and Ulrich's Periodicals Directory.
Topics Topics of interest for submission include, but are not limited to: Accounting Information Technology Management Business & Economics Labor Economics Business Information Systems Public Economics and Finance Business Law Supply Change Management Economic Policy Strategic Management
Submission Methods 1. Email: icefr@iedrc.org 2. EasyChair System: https://easychair.org/conferences/?conf=icefr2018
Important Dates Submission Deadline Before December 5, 2017
Acceptance Notification On December 25, 2017
Registration Deadline Before January 15, 2017
Conference Date April 7-9, 2018
2017 IEDRC BEIJING CONFERENCES
44
Note
2017 IEDRC BEIJING CONFERENCES
45
Note