«Effects of Individual Success on Globally

Distributed Team Performance»

Onur Yılmazmail@onuryilmaz.me

Outline Introduction Problem Definition Relevant Research Methodology

Projects and Participants Measures Data Analysis

Discussion Conclusion

Introduction

Software development Different competencies

Team work

How to find best team combination?

Introduction

Software Development Teams

Group of developers

Introduction

Software Development Teams

Optimum combination

of competencies

Introduction

Online collaboration No face-to-face obligation

Synchronous and asynchronous tools

Problem Definition

Many factors on the performance of a global software development team Cultural issues, individual and collaborative group work

attitude etc.

In this study, a subclass of individual factors, namely individual success, will be analyzed in the sense of affecting the team performance

Problem Definition

Individual Success

Team Success

GPA of team members

Team performance

grade

Communication within team

Relevant Research Individual Factors

academic success, age, sex, education level and experience

Increasing range of individual factors Lower team performance

Individual success (educational and work) Changes perception on work

Relevant Research

Team Performance Frequency of communication -> Performance of the

team

Because communication frequency shows number of times team members interacted each other

Methodology Projects and Participants

2 student team projects “Online Collaboration: Collaborative Behavior Patterns

and Factors Affecting Globally Distributed Team Performance”

Participant universities Atilim University Universidad Tecnológica de Panamá University of North Texas

Methodology Projects and Participants

Project #1 79 students Database management system for car rental agency 08FAGSDUSPATY

Project #2 53 students Bookstore management application 09SPUTPUSPATY

Methodology Measures and Data Collection

GPA of students (missing values)

Performance grades of students

Communication statistics

Data Analysis GPA of Students

Average GPA Std Min Max

Project #1 2,93 0,64 1,89 3,92Project #2 2,55 0,68 1,25 3,86

GPA Histogram of Project #1 GPA Histogram of Project #2

Data Analysis Team Performance Grades

Average Grade Std Min Max

Project #1 64,75 14,41 50 91,50Project #2 80,80 10,63 65 97,50

Performance GradeHistogram of Project #1 Performance Grade

Histogram of Project #2

Data Analysis Average Team Performance vs. Average Team GPA

Higher average GPA -> Higher team success

Data Analysis Average Team Performance vs. Maximum Team GPA

Highest GPA in the team does not meanhigher team performance for every project.

Data Analysis Average Team Performance vs. Maximum GPA Difference in Team

Higher the difference within team -> Decrease in team success

Data Analysis Team Communication Contribution vs. GPA

Higher GPA -> Higher communication -> Higher team success

Discussion

When the average GPA of a team

increases, team performance is escalated.

Discussion

Increasing range of GPA decreases the

team performance.

Discussion

Team members with higher GPA

communicate more in teams.

Future Work Comprehensive statistical analysis for

relationships Statistical analysis and validation should be

undertaken to clarify and support findings

Implementation of industry Detailed analysis of compatibility

Other parameters for defining individual success Experience, level of knowledge etc.

Conclusion

How does individual success affect the team performance?

Relationships between team members’ GPA and team performance explained 2 student team projects and their data Relevant research

ReferencesSingh, Ishwinder. Effectiveness of different personalities in various roles in a software engineering team. Carnegie Mellon University.

Meyer, B. 2006. The unspoken revolution in software engineer, IEEE Computer, 39, 1, 11-123

Swigger K., Aplaslan F.N., Lopez V., Brazile R., Dafoulas G., Serce F.C., Structural factors that affect global software development learning team performance, Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research, May 28-30, 2009, Limerick, Ireland

Dutoit, A. 1998. Communication metrics for software development, IEEE transactions on Software Engineering, 24, 8, 615-627.

Bochner S., and Hesketh, B. 1994. Power, distance, individualism/ collectivism and job-related attitudes in a culturally diverse work group, Journal of Cross-Cultural Psychology 25, 2, 233-257.

Jehn, Karen A. , Gregory B. Northcraft , and Margaret A. Neale. "Why Differences Make a Difference: A Field Study of Diversity, Conflict, and Performance in Workgroups." Administrative Science Quarterly. 44.3 (1999).

Serçe, F. C., Swigger, K., Alpaslan, F. N., Brazile, R., Dafoulas, G., and Lopez, V. (2011). Online collaboration: Collaborative behavior patterns and factors affecting globally distributed team performance. Computers in Human Behavior, 27(1):490-503.

Thank you!

«Effects of Individual Success on Globally

Distributed Team Performance»

Onur Yılmazmail@onuryilmaz.me