Research Question: I started with research questions such as what makes software teams more productive?, How team innovation is related to team performance?; and Does team climate impact team productivity, innovation, and performance in software teams?
Research Objective: is to develop a conceptual model of team performance using factors such as team climate, team productivity, and team innovation. Objective is to observe different dimensions of these variables with respect to respondents’ age, gender, educational qualification and experience; team role and team size. Objective is to find the relationships between variables: team climate and team productivity, team innovation & team performance.
Research Methodology: Based on literature review, a conceptual/structural model is drawn with team climate as independent variable (comprising sub-factors such as vision, task orientation, support for innovation and participative safety ), team performance as dependent variable and team productivity and team innovation as intermediate variables. Respective hypotheses are defined. Data is collected using a questionnaire from 178 valid respondents from 18 software development teams of 6 organizations. Team sizes range from 2 to 18 members. Respondents include designers, architects, programmers and software engineers and team managers.
Findings: Findings include respective team member role has impact on team climate, vision and task orientation. Team size effects task orientation, support for innovation, participative safety, team productivity, and team innovation. Vision strongly correlates to team performance. Support for innovation strongly correlates to team innovation. Vision and task orientation have no relationship to team innovation. Participative safety is not related to team productivity. Task orientation is not related to do team performance in software development teams.
Recommendations: Software organizations have to focus on objectives, vision and support for innovation for better team performance. To make the teams more innovative, they need to focus on vision, participative safety and support for innovation in software teams. For better productivity, they need to concentrate on team vision and task orientation.
Table of Contents
Chapter 1 : INTRODUCTION
1.1 Indian Software Industry: An Overview
1.2 Teams: An Introduction
1.3 Need for the Study
1.4 Objectives of the Study
1.5 Research Framework
1.6 Organization of the Study
Chapter 2 : INDIAN SOFTWARE INDUSTRY
2.1 Industry till 1990
2.2 Industry (1990-2000)
2.3 Industry (2001-Present)
2.4 Opportunities for Indian Software industry
2.5 Challenges for Indian Software industry
2.6 Needed Manpower for the Indian Software Industry
Chapter 3 : LITERATURE REVIEW
3.1 Concept of Team Climate
3.2 Understanding Team Performance
3.3 Models of Team Performance
3.3.1 Group Performance Model
3.3.2 Software Project Team Performance Model
3.3.3 Information Systems Development Team Performance Model
3.3.4 Team-rated Performance Model
3.3.5 Multilevel Individual and Team Performance Process Model
3.4 Understanding Team Productivity
3.5 Models of Team Productivity
3.5.1. Productivity Model including Reuse
3.5.2 Maximum Team Size Model
3.5.3 Simple Model of Productivity
3.5.4 Measurement Model of Software Maintenance Projects
3.6 Understanding Team Innovation
3.7 Recent studies of Software Development Teams using TCI in India
3.8 Research Gaps
Chapter 4 : RESEARCH METHODOLOGY
4.1 The Research Problem
4.2 Research Objectives
4.3 Hypothesized Research Model
4.3.1 Hypothesized Structural Model
4.4 Research Hypotheses
4.4.1 Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation with Demographic variables (Age, Gender, Educational Qualifications and Experience)
4.4.2 Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation with Organizational variables (team role and team size)
4.4.3 Relationships among the Constructs/Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation
4.5 Research Design
4.6 Sampling Design
4.7 Questionnaire Design, Development & Administration
4.7.1. Questionnaire Design and Development
4.7.2 Questionnaire Administration
4.7.3 Pilot Survey
4.7.4 Questionnaire Reliability and Validity
4.8 Data Collection
4.9 Respondents Demographic Details
Chapter 5 : ANALYSIS AND DISCUSSION OF RESULTS
5.1 Examination of Collected Data
5.2 Data Analysis Procedure
5.3 Confirmatory Factor Analysis
5.4 Hypothesis Testing
5.4.1 Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation with Demographic variables (Age, Gender, Educational Qualifications and Experience)
5.4.2 Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation with Organizational variables (team role and team size)
5.5 Testing Relationships and Impact
5.5.1 Relationships among the Constructs/Dimensions of Team Climate, Team Productivity, Team Performance and Team Innovation
5.6 Path Analysis
5.6.1 Path Analysis of Team Climate, Team Productivity, Team Performance, and Team Innovation
5.6.2 Interpretation of Structural Equation Modeling (SEM)
Chapter 6 : RESEARCH FINDINGS, CONCLUSION AND DIRECTIONS FOR FURTHER RESEARCH
6.1 Research Findings
6.2 Contributions of this Research Work
6.3 Recommendations to Indian Software Industry
6.4 Limitations of the Study
6.5 Directions for Further Research
6.6 Conclusion
Objectives & Core Themes
The primary objective of this research is to identify and investigate the relationships and impact among the factors and constructs of team climate, team productivity, team performance, and team innovation within software development teams in India, ultimately providing recommendations for industry improvement.
- Analysis of team climate dimensions (vision, task orientation, support for innovation, participative safety).
- Measurement of team productivity using function points and man-months.
- Evaluation of team performance and team innovation in a software development context.
- Investigation of demographic and organizational variables (age, gender, experience, team role, team size).
- Application of Structural Equation Modeling (SEM) to test the hypothesized research model.
Excerpt from the Book
1.2 Teams: An Introduction
Gondal and Khan (2008) have defined Team as a small group of people having common purpose, complementary skills and interdependent roles.
Another definition of Team is given by Katzenbach and Smith (2005a:163) as follows "A team is a small number of people with complementary skills who are committed to a common purpose, performance goals, and approach for which they hold themselves mutually accountable".
Cohen and Bailey (1997:241) have defined a Team as follows: "A team is a collection of individuals who are interdependent in their tasks, who share responsibility for outcomes, who see themselves and who seen by others as an intact social entity embedded in one or more large social systems (for example, business unit or corporation), and who manage their relationships across organizational boundaries".
According to McDowell and Zhang (2009), teams are vital parts of organizations. Two thirds of the Fortune 500 organizations are using some form or the other of the teams in their organizations. There are more than 4,000 teams in Motorola working in their global offices (Sivasubramaniam, Murry, Avolio and Jung, 2002). Basically teams in modern organizations are of four types. They are work teams, parallel teams, project teams and management teams (Cohen and Bailey, 1997). Organizational structure has impact on team’s functioning. Usually work teams are found in manufacturing and service industries. Parallel teams exist in literally parallel to the formal organization structure. Examples of parallel teams include quality circles, task forces, quality improvement teams, etc (Cohen and Bailey, 1997). Project teams are time bound. Once time expires, the team dissolves. Usually project teams are found in software and high technology industries. In current organizations management teams can be found at the top management or senior management level. Top management team’s performance is nothing but the firm’s performance (Cohen and Bailey, 1997).
Summary of Chapters
Chapter 1 : INTRODUCTION: This chapter introduces the Indian software industry and the fundamental concept of teams, outlining the study's research framework and objectives.
Chapter 2 : INDIAN SOFTWARE INDUSTRY: This chapter provides an exhaustive historical overview of the Indian software industry from its origins to the present, highlighting key growth phases, challenges, and manpower requirements.
Chapter 3 : LITERATURE REVIEW: This chapter reviews past empirical studies and conceptual models regarding team climate, performance, productivity, and innovation in software development, while identifying research gaps.
Chapter 4 : RESEARCH METHODOLOGY: This chapter details the research design, hypotheses, sampling strategy, data collection procedures, and the instruments used to measure the study's variables.
Chapter 5 : ANALYSIS AND DISCUSSION OF RESULTS: This chapter presents the statistical analysis of the collected data, including confirmatory factor analysis, hypothesis testing, and the interpretation of the path model using Structural Equation Modeling.
Chapter 6 : RESEARCH FINDINGS, CONCLUSION AND DIRECTIONS FOR FURTHER RESEARCH: This chapter summarizes the research findings, offers recommendations for the Indian software industry, discusses study limitations, and suggests future research directions.
Keywords
Team Climate, Software Development Teams, Team Performance, Team Productivity, Team Innovation, Indian Software Industry, Team Climate Inventory (TCI), Structural Equation Modeling, Path Analysis, Organizational Behavior, Team Size, Team Role, Demographic Variables, Management Science, Quantitative Research
Frequently Asked Questions
What is the core focus of this research work?
The research focuses on exploring the relationship between team climate and various performance-related outcomes, such as productivity and innovation, specifically within software development teams in the Indian IT industry.
What are the primary thematic areas covered?
The study covers team climate (using the TCI model), software development team productivity, team performance, team innovation, and how these are influenced by demographic and organizational factors.
What is the ultimate goal of the research?
The primary goal is to identify and investigate the impact of team climate constructs on the productivity, performance, and innovation of software development teams to provide actionable recommendations for the industry.
Which scientific methodology is employed?
The research employs a quantitative, descriptive, and cross-sectional design. It uses statistical techniques such as ANOVA, t-tests, correlation analysis, regression analysis, and Structural Equation Modeling (SEM) with LISREL 8.5.
What topics are discussed in the main body of the work?
The main body examines the history of the Indian software industry, provides a detailed literature review of existing team performance models, describes the methodology used, and presents a comprehensive analysis of the results derived from the questionnaire survey.
Which keywords best characterize this thesis?
The work is characterized by terms such as Team Climate, Software Development, Team Productivity, Team Performance, Team Innovation, Indian IT Industry, and Structural Equation Modeling.
What unique insight does the study provide regarding team size in India?
The study identifies that for the Indian software industry, the ideal team size is between 10 to 15 members to optimize both productivity and innovation.
How is "team climate" measured in this study?
Team climate is measured using the Team Climate Inventory (TCI), developed by Neil Anderson and Michael West, which assesses four constructs: vision, task orientation, support for innovation, and participative safety.
- Citar trabajo
- Dr. G.P. Sudhakar (Autor), 2012, The Relationship between Team Climate and Performance in Software Development Teams, Múnich, GRIN Verlag, https://www.grin.com/document/512713
