effects of individual success on globally distributed team performance
TRANSCRIPT
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.
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