Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
374
ANALYSIS OF BEKASI CITY BRANDING BY HEXAGON MODEL
ON INVESTMENT DECISION
Genoveva1, Fadia A. Handoko2
1President University, Cikarang, [email protected]
2President University, Cikarang
ABSTRAK Tujuan dari penelitian ini adalah menganalisis citra kota Bekasi dengan menggunakan Hexagon Model
terhadap keputusan berinvestasi. Kota adalah penyumbang terbesar bagi perkembangan ekonomi sebuah
negara. Sehubungan dengan pembangunan kota-kota yang berdekatan dengan ibukota Jakarta, Bekasi
sebagai kota urban yang memiliki pertumbuhan jumlah penduduk tertinggi memiliki berbagai kendala,
minimimnya infrakstuktur, jalanan yang macet, udara yang panas serta waktu tempuh yang relative lama
ke Jakart. Kontradiktif ini menimbulkan daya tarik bagi peneliti untuk menganalisis apakah image
Bekasi memiliki pengaruh terhadap keputusan berinvestasi. Penelitian ini menggunakan Hexagon model
yang terdiri dari 6 variabel sebagai indikator yaitu presense, place, people, pulse, potential dan pre-
requisites dengan keputusan investasi sebagai variabel terikat. Data dikumpulkan dengan menyebarkan
kuesioner kepada 196 responden.. Metode analisa data yang digunakan dalam penelitian ini adalah
analisa deskriptif, tes validitas dan reliabilitas, tes asumsi klasik, dan pengujian hipotesis menggunakan
program IBM SPSS 20. Hasil penelitian menunjukkan bahwa place, people, pulse dan pre-equisite
memiliki pengaruh terhadap keputusan berinvestasi dengan tingkat signifikansi < 0,05. Sedangkan
presense dan potensial tidak berpengaruh terhadap keputusan investasi karena memiliki nilai
signifikansi > 0,05. Penelitian ini juga menunjukkan bahwa city branding berkontribusi sebesar 43,7%
terhadap keputusan investasi, sementara 56,3% dipengaruhi oleh faktor lain yang tidak diteliti dalam
penelitian ini.
Kata Kunci: Citra kota, Hexagon model, Presence, Place, People, Pulse, Potential, Pre-Requisites,
Keputusan investasi.
ABSTRACT The purpose of this study was to analyze the city branding of Bekasi by using the Hexagon Model on
investment decisions. The city is the biggest contributor to the economic development of a country. In
connection with the development of cities adjacent to the capital city of Jakarta, Bekasi as an urban city
that has the highest population growth has various constraints, minimum infrastructure, heavy traffic, hot
weather and relatively long travel times to Jakarta. This contradiction creates an attraction for researchers
to analyze whether the Bekasi image has an influence on investment decisions. This study uses a Hexagon
model consisting of 6 variables as indicators, namely presense, place, people, pulse, potential and pre-
requisites with investment decisions as dependent variable. Data was collected by distributing
questionnaires to 196 respondents. Data analysis methods used in this study were descriptive analysis,
validity and reliability tests, classic assumption tests, and hypothesis testing using IBM SPSS 20. The
results showed that place, people, pulse and pre-equisite has an influence on investment decisions with a
significance level of < 0..05. While the presense and potential do not influence on investment decision
because it has a significance value of > 0.05. This study also shows that city branding contributes 43.7%
to investment decisions, while 56.3% is influenced by other factors not examined in this study.
Keywords: City branding, Hexagon model, Presence, Place, People, Pulse, Potential, Pre-Requisites,
Invesment decision.
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
375
INTRODUCTION
As the largest contributing actitivities for the national income, cities hold the key
contributor in a nation’s economic development (Yananda & Salamah, 2014). During
economic crisis, a company with strong corporate branding will continue to grow.
Same goes with cities, since a strong city branding can also have sifnificant impact on
the following three things: return, growth and risk. City branding is also expected to
influence the behavior and choices the target audience namely visitors, investors and
partners (Irawan & Widyaningsih, 2015).
However, the world is full of interesting, attractive, and cultural cities. For these
reasons, it is no surprise that there is a tough competition between different cities when
it comes to attracting visitors, residents, investors, and companies. Therefore, city
branding is an emerging practice that is executed by an increasing number of cities all
around the world. The concept is used to transform a location into a destination (Braun,
Eshuis & Klijn, 2012) by applying different strategies, such as building unique
constructions, formulating city-slogans or creating an image of the city (Hankinson,
2006).
Branding once known for product and service now is used widely to market an
area, at both local and state levels. A marketing practitioner, Kertajaya (2005), even
stated that today city branding is a mandatory thing to be done by any city that wants to
raise its degree. City branding focuses generally on attracting the investment, tourism
and trading potencies. Kotler, Burton, Deans, Brown, & Armstrong (2015) define brand
concept as a name, a sign, a design, or a combination of all that helps identify and
distinguish a product from its competitors. However, a brand is beyond all of its
concrete items. Countries, cities, villages, local places, or destinations in general can be
included in the branding process and can be regarded as brands (Tek, 2009). Every city
has a brand. This brand is not uniform or static. It is perceived differently from an
individual to a country, city, culture, religioun, etc. A city’s name has been built during
years and centuries. It relates not only to an image or logo, but also to a set of value that
many people stand for.
Bekasi city is a city with bad infrastructure, heavy traffic, hot weather and long
travel time from Jakarta (Lamudi, 2014). Compared to other cities closed to Jakarta, for
the example Bogor, Depok and Tangerang the travel time quite short than to Bekasi.
Seeing this phenomenon, Lamudi's global property portal conducted a survey and found
that 81% of the population who were not living in Bekasi were apparently not interested
in moving to Bekasi, while 75% of Bekasi residents wanted to move from the city, if
they were given the option to that. The main reason is poor traffic conditions, in
addition to the availability of infrastructure, entertainment and other factors. The
percentage of roads in Bekasi is currently only 5%, whereas with a total area of 661
square kilometers, Bekasi has at least 20% of the maximum portion of the road. As a
hub that connects the factory and industrial center in Cikarang to Karawang and also to
Jakarta, then to the port of Merak, Bekasi clearly cannot avoid the flow of large vehicles
from and to the factory. This is what makes Bekasi residents have to travel three, four to
five hours per day if they work in Jakarta.
However, although media coverage lately is not profitable for Bekasi, it does not
close the fact that Bekasi has a lot of potential. With a population growth of 2.77% in
2013, even greater than the average population growth in Indonesia, this growth rate
actually has several positive impacts. According to the result of negative image of
Bekasi, however Bekasi as a one of potential city for investation with highest growth of
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
376
population, researchers will be to analyze the relationship between City Branding and
Investment Decision using the Hexagon model.
LITERATURE REVIEW
City Branding
Branding is Logos created to differentiate one product from another. Its function is
to distinguish from other products or competitors. This is an effective way between two
buyers and sellers. According to Merrilees, Miller and Herington (2009), city branding
is a subfield of destination and place branding especially in brand positioning. In
creating a competitive advantage for city public administration can be assisted by city
branding. City branding is not only to be used as a means of promoting a goal but a
sense of ownership and pride of the population and is also used to promote. Residents
are also responsible for image formation as it is very important to analyze the current
city brand. This perception can be addressed to the population to show the sense of
belonging to the place, or the opposite of the intention to find a new residence (Zenker ,
Braun, & Petersen, 2017)
City branding is similar to branding in the company, both have a high degree of
intangibility and complexity, both require long-term development. According to
(Anholt, 2002) Hakinson (2007) that a city brand is similar to a company therefore
concludes that branding requires leadership.
Hexagon Model
City branding is believed to have the power to change a person's perception of a
city or aim to see the potential difference of a city with another city. Below is a six
hexagon city brand from Anholt (2007) which is a way to measure the branding of a city
and should be considered by marketers as a frame of reference for understanding,
analyzing, and designing strategies in creating city branding in accordance with its
target market. The effectiveness of city branding using the City Branding hexagon
created by Anholt (2007) who there are six aspects in effective measure top city
branding:
1. Presence
Based on the city's international status and standing and the global
familiarity/knowledge of the city. It also measures the city's global contribution in
science, culture and governance.
2. Place
Exploring people's perceptions about the physical aspect of each city in terms of
pleasantness of climate, cleanliness of environment and how attractive its buildings
and parks are.
3. People
Reveals whether the inhabitants of the city are perceived as warm and welcoming,
whether respondents think it would be easy for them to find and fit into a
community that shares their language and culture and whether they would feel safe.
4. Pulse
Measures the perception that there are interesting things to fill free time with and
how exciting the city is perceived to be in regard to new things to discover.
5. Potential
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
377
Measures the perception of economic and educational opportunities within the city,
such as how easy it might be to find a job, whether it's a good place to do business
or pursue a higher education” (Anholt & GfK, 2011).
6. Pre-requisites
Determines how people perceive the basic qualities of the city; whether they are
satisfactory, affordable and accommodating, as well as the standard of public
amenities such as schools, hospitals, transportation and sports facilities.
Investment Decisions
Investment decision generally means the determination made by investor as to
where, when, how, and how much funds will be invested on various avenues of
financial products instruments with the objective of generating income or appreciation
in value. Here, the concept investment decision is defined as the decision taken by
individual investors while investing in mutual funds. The behavioural finance cholars
found out that decisions coul be influenced by unavoidable psychological and emotional
factors. Better understanding of these factors will help the investors to take an
appropriate investment decision and also help them to avoid their repeating mistakes in
future in extracting the best financial investment avenue. Usually, the investors are
evaluating the risk and return of an investment decisions. The decision making
behaviour of an investor is affected by their attitude toward risk. At different levels of
perception toward risk, the individual investors think differently about their investment
and make decisions differently. Risks are taken by investors based on interpretations
and perceptions that are ultimately influenced by risky investment decisions.
Investment decisions are an important factor in corporate financial functioning,
where the value of the enterprise is solely determined by the investment decision.
Opinion it can be interpreted that investment decision is important, because to achieve
the company’s goal is to maximize shareholder wealth only generated through corporate
investment activities (Hasnawati, 2005). Aim the investment decision is to obtain a high
level of profit with the rate certain risks. High profits are accompanied by manageable
risks, is expected to increase the value of the company, which means to increase
prosperity shareholders.
Investment decisions are crucial for economic performance that is related to macro
and micro perspectives, from a macro perspective most of the volatility in Gross
Domestic Product (GDP) dynamics is calculated, and its function is a key performance
indicator of significance (Zarnowitz, 1992). While, from a micro perspective efficiency
is increased to reduce unit costs. The investment decision process at enterprise level is
generally aimed at multi-criteria processes (Enoma & Mustapha, 2010) considering
many factors. This factor is not only economic and risk factors but also political and
government regulations (Enoma & Mustapha, 2010). These factors have an effect on the
decisions of each company differ significantly. All investors appreciate the transparency
of information and trust in a country or market. They are afraid of risk factors such as
market uncertainty, lack of market knowledge and lack of investment experience
(Kahraman, 2011; Trappey et al., 2007). That tends to make companies less invested
(Liu & Pang, 2009; Volker et al., 2009). Due to the importance of proper investment
behavior on corporate performance and growth opportunities, much effort has been
made in the literature to describe and judge.
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
378
City Branding On Investment Decision
According to Allan (2007) brand is a good name of the place (included city) or
product or an organization that will be impact to investors decision to invest in a
development or to open the factory. The similary result also found by Eraydin (2014)
who said that to be involved into global competition for attracting investments, the city
need design the attracting image. The effectiveness of city branding can be evaluated in
terms of the strength of the brand, like it was done by Saffron Brand Consultants and
Simon Anholt. However, if a city authority is to invest its time and resources in the
construction and maintenance of a high ranking brand it has to get a return on that
investment. It is essential to know what the benefits of having a strong city brand are
and what disadvantages and issues can a weak brand cause (Raubo, 2010).
METHODOLOGY
Researchers used a quantitative research for this research because the large number
of respodents, where data were processed using IBM SPSS 20. The data collected by
questionnaire to 207 respondent, only 196 can be processing. The theoritical framework
can be seen in figure 1. Based on this framework, researcher analyzing about presence,
potential, place, people, pulse and pre-equisite on invesment desicion.
Figure 1. Theoritical Framework
Source: Anhold, 2007.
ANALYSIS AND INTERPRETATION
The total overall respondents are 197 peoples with the composition of the male as
much as 43% and female are 57%. By the respondents age, they are 4 categories which
are >27-37 years old with total 61%, the category of >37-47 years old are second
position with 24%, the next are 17-27 years old with 9% and > 47 years old are 6%. The
majority of respondents by occupation are entrepreneurs (43%), investor are 26%,
employee are 14%, professional are 13% and others (students, house wife, retirement)
are 4%.
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
379
Table 1. Data of Respondents
Gender 43% Male
57% Female
Age 9% 17 – 27 years old
61% >27 – 37 years old
24 % >37 – 47 years old
6% >47 years old
Occupation 14% Employee
43% Entrepreneur
13% Professional
26 % Investor
4% Others
Source: Questionnaire, 2018.
Validity and Reliability Test
Reseachers conducting the validity and reliability with 30 respondents. The total
questions that used in the pre-test are 36 questions, only 1 questions invalid because less
than 0.361. This question has been deleted and the rest can be used for the next process.
The table 2 shows above reliability of Cronbach’s Alpha is greater than 0.50. This
means the respondents who answer to the variable are reliable, and the table above can
show the analysis of reliability based on Cronbach’s Alpha for the variable Presence is
0.598, and for the variable Place is 0.764, for the variable people the Cronbach’s Alpha
is 0.870, for the variable Pulse the Cronbach’s Alpha is 0.856, for the variable potential
the Cronbach’s Alpha is 0.698, for the variable Pre-requities is 0.904, and for the
variable Investment Decisions the Cronbach’s Alpha is 0.839 which means had
excellent reliability. Therefore, we can conclude that variable is reliable to be used for
further research activity.
Table 2. Reliability Test
Source: Questionnaire, 2018.
Descriptive Anaysis
The table 3 has shown that 1 variable in neutral area (2.61-3.40) and 6
variables falls within Agree (the range 3.41 – 4.20) category. Its mean the respondents
agree that Bekasi is the one of the city that development and investment increase. Many
people who want to visit Bekasi just for to entertaint themselves and to invest their
money. And also some people who want to enjoy the city of Bekasi by spending their
time to visit Bekasi. Therefore, with the large number of people visiting Bekasi, the
city's economy has also increased.
Variable Croncanch’s Alpha N of items Interpretation
Presence 0.598 6 Moderat Reliability
Place 0.746 5 High Reliability
People 0.870 5 High Reliability
Pulse 0.856 4 High Reliability
Potential 0.698 5 Moderat Reliability
Pre-requities 0.904 5 Excellent Reliability
Investment Decisions 0.839 5 Excellent Reliability
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
380
Table 3. Descriptive Analysis
Variable Mean Std. Deviation
Presence 3.66 0.89
Place 3.21 0.82
People 3.80 0.82
Pulse 4.05 0.72
Potential 3.94 0.70
Pre-Requisite 3.85 0.77
Invesment Decision 3.52 0.74
Source: Questionnaire, 2018.
Clasical Asumption Test
The classical assumption test is important in order to ensure the credibility of the
multiple regression model. This study would imply the classical assumption test which
consisted of normality test, heteroscedascity test and multicollinearity test. Normallity
test was perfomed that the data is normal distribution. The P-P plot shown that all of the
data was spread and followed the diagonal line. The heteroscedascity result the points
were spread randomly and based on unclear pattern. The points were spread below 0
(zero) on Y axis as well in which indicates no heteroscedascity. There is no
multicollinearity because the tolerance value greater than 0.10 and VIF value still far
from 10.00. Therefore it is acceptable to conclude that there is no multicollinearity.
Hence, the assumption of normality, heteroscedascity and multicollinearity in the
regression model can be met from this model.
Multiple Regression Analysis
Multiple regression analysis was used in this research to determine whether there is
influence of the independent variables on the dependent variable. Statistical calculation
in a multiple linear regression were used in SPSS. Summary of the results of data
processing by using the SPSS program was as follows:
Table 4. Multiple Regression Result
Source: Questionnaire, 2018.
Based on the table above, the multiple regressions model can be arranged as follow:
Y = 8.958 + 0.64X2 + 0.96X3 – 0.78X4 + 0.262X6
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
381
Where,
Y = Investment Decisions
Tpt = Potential
Tpl = Place
Tpe = People
Tpre = Pre-requisites
Hyphothesis Testing (T-Test)
T-test is used determine whether the independent variables have significant effect
partially on the dependent variable or not. In order to know which variable has
significant influence, it can be seen in the significant table. If the values of those
independent variables are less than 0.05 means that variable has the significant
influences toward dependent variables. From the table 4 it can concluded that :
H1: There is has no significant influence of presence on investment decision, because
the significant level is 0.401.
H2: There is has significant influence of potential on investment decision with
significant level is 0.000.
H3: There is a significant influence of place on investment decision with significant
level is 0.010.
H4: There is a significant influence of pulse on investment decision with significant
level is 0.008.
H5 : There is has no significant influence of people on investment decision, because the
significant level is 0.309.
H6: There is a significant influence of pre-requities on investment decision with
significant level is 0.000.
F – Test (Simultaneously Test)
Based on table 5 the significant value is 0.000, there is lower than 0.05, therefore
by simultaneously the independent variable (Presense, Potential, Place, Pulse, People
and Pre-Requisites) influence on dependent variable (Invesment Decision). This means
that when independent variables is well implemented and supported by the management
city, the investment decision will be increase.
Table 5. F-Test
ANOVAa Model Sum of Squares Df Mean Square F Sig.
1 Regression 15.234 6 3.331 52.130 0.000b
Residual 25.258 191 0.245
Total 37.510 197
a. Dependent Variable: Tin
b. Predictors: (Constant),TPr, TPt, TPl, Tpe, Tpu, Tpre
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
382
Source: Questionnaire, 2018.
Coefficient Corelation (R²)
The correlation between independent variables (Presence, Potential, Place, Pulse,
people, Pre-Requisites) and dependent variable (Invesment Decision) are strong with
0.531 because the R score > 0.50. The coefficient of determination is represented in the
table 6. The results calculated using SPSS can be seen that the adjusted R square value
is 0.437. The result can be inferred as 43.7% investment decisions can be explained by
variables of presence, place, people, pulse, potential, pre-requities, where as the
remaining 56.3% of investment decisions is influenced by other variables which was not
examined in this research.
Table 6 : Coeficient Determinant
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
Durbin-Watson
1 .531a .451 .437 0.17106 1.874
a. Predictors: (Constant),TPr, TPt, TPl, Tpe, Tpu, Tpre
b. Dependent Variable: Tin
CONCLUSION AND RECOMENDATION
Conclusion
To be specified, in the factor that influence investment decisions city branding in
Bekasi through the characteristic of presence factors, place factors, people factors, pulse
factors, potential factors and pre-requities factors. As for the conclusion which could be
drawn from data are as follows:
1. Presence factors variable has no significant influence toward investment decisions.
2. Place factors variable has a significant influence toward investment decisions.
3. People factors variable has a significant influence toward investment decisions.
4. Pulse factors variable has no significant influence toward investment decisions.
5. Potential factors variable has a significant influence toward investment decisions.
6. Pre-requities factors variable has a significant influence toward investment
decisions.
7. All variables presence factors, place factors, people factors, pulse factors, potential
factors, pre-requities factors has a simultaneously influence by investment
decisions.
Recomendation
For the future improvement, the researchers propose some recommendations for
several parties. They are as follows:
1. For the Government
a. Bekasi has a very good vision and mission in accordance with the theory of
city branding proposed by Anholt not just the slogan and logo "Kota Bekasi
Maju, Sejahtera dan Ihsan" without any improvement of facilities and service
of city branding program "Kota Bekasi Maju, Sejahtera dan Ihsan" should
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
383
continue to be improved and communicated through various media such as
social media, print media and television ads that have a great influence based
on this research.
b. Maximize the existence of Bekasi to bring closer communication between the
government and communities in Bekasi. That segmentation is an appropriate to
support the success of city branding so that it can move the population to have
more sense of ownership of the city and participate the vision and mission city
of Bekasi.
2. For future researcher
To investigate or undertake investment decisions that led them to invest in Bekasi.
Study can be done anywhere as long as the next researchers have determined the
amount of sample and variables that will be used to support the research.
Researchers also suggested that using more than four independent variables to help
further research in getting the more significant and better to support the dependent
variable.
REFERENCES
Allan, M. S. (2007). Place Branding. The Journal of The Medinge Group, 1(1).
Anderson, J. D. (2006). Qualitative and quantitative research. Imperial COE.
Anholt, S. (2007). Competitive Identity: The New Brand Management for Nations,
Cities and Regions. UK: Palgrave Macmillan.
Braun, E., Eshuis, J., & Klijn, E. H. (2012). The influence of stakeholder involvement
on the effectiveness of place branding. Public Management Review, 14(4), 499-
519.
Eraydin, Z. (2014). The Global Image Of The City: Impacts Of Place Branding On
Image of Ankara. Ankara : Middle east technical University.
Hankinson, P. (2006). The impact of brand orientation on managerial practice: a
quantitative study of the UK's top 500 fundraising managers. Wiley Online Library.
Hasnawati, S. (2005). Dampak Set Peluang Investasi Terhadap Nilai Perusahaan Publik
di Bursa Efek Jakarta. Jurnal Akuntansi dan Auditing Indonesia, 9(2), 113-118.
Irawan, W. & Widyaningsih, Y. A. (2015). Overcome Gaps And Identify City Branding
Performance (medan City branding). South East Asian Journal Contemporary
Business, Economics and Law, 2(8), 10-20.
Israel, G. D. (2009). Determining sample size. University of Florida. Florida: USA.
Jagongo, A., & Mustwenje, V. (2014). A Survey of the Factors Influencing Investment
Decisions: The Case of Individual.
Kartajaya, H. (2005). Hermawan Kartajaya On Positioning. Jakarta: Mizan.
Kotler, P., Burton, S., Deans, K., Brown, L., & Armstrong, G. (2015). Marketing (9th
ed.). Australia: Pearson Higher Education.
Kotler, P. & Keller, K. L. (2012). Marketing Management (14th ed.). New Jersey:
Pearson Education, Inc.
Lamudi (2014). Walau Kerap Dicemooh Bekasi Menyimpan Potensi Yang Besar
[Online]. Tersedia di: www.lamudi.co.id/journal/ [diakses pada March 2018]
Morgan, N., Pritchard, A., & Pride, R. (2011). Destination Brands: Managing Place
Reputation. GB: Routledge.
Oluwatayo, J. A. (2012). Validity and reliability issues in educational research. Journal
of educational and social research.
Conference on Management and Behavioral Studies Universitas Tarumanagara, Jakarta, 25 Oktober 2018
ISSN NO: 2541-3406 e-ISSN NO: 2541-285X
384
Pemerintah Kota Bekasi. (2015). Anggaran Pendapatan dan Belanja Daerah Kota
Bekasi [Online]. Tersedia di: www.bekasikota.go.id
Purwanti, A. & Genoveva (2017). An Evaluation Of City Branding To Reinforce The
City Competitiveness (A Case Study Of Surabaya). International Journal of
Management and Applied Science, 3(5), 119-124.
Raubo, A. (2010). City Branding And Its Impact On City’s Attractivenes For External
Audiances. Rotterdam: Erasmus University.
Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business
students (5th ed.). Italy: Prentice Hall.
Sadiq, M. N., & Ishaq, H. M. (2014). The Effect of Demographic Factors on the
Behavior of Investors.
Sekaran, U., & Bougie, R. (2010). Research methods for business: A skill building
approach. (5th editiion). West Sussex, UK: John Wiley & Sons Ltd.
Sudheer, V. (2015). Impact of Socioeconomic Factor on Investors’ Investment Culture.
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha International
Journal of Medical Education, 2, 23-55.
Tek, M. (2009). Kamu Yatırımlarında Turizmin Yeri, Türkiye Turizm Stratejisi 2023’te
Marka Kentler Projesi: Eleştirel Bir Değerlendirme, Anatolia: Turizm Araştırmaları
Dergisi.
Trappey, C.; Shih, T. Y., & Trappey, A. J. C. (2007). Modeling international investment
decisions for financial holding companies. European Journal of Operational
Research, 180(2), 800-814.
Yananda, S. (2014). Branding Tempat: Membangun Kota, Kabupaten, dan Provinsi
Berbasis Identitas. Jakarta: Makna Informasi.
Vary, A. P. (2011). The Anholt – GMI City Brand Hexagon and The Saffron European
City Brand Barometer: A Comparative Study.
Zarnowitz, V. (1992). Business Cycles: Theory, History, Indicators, and Forecasting.
University of Chicago pers.