Impact of Coordination Mechanism on the Performance of Virtual Teams in Agile Software Development Projects

Table of Contents

1 INTRODUCTION

1.1 BACKGROUND

1.2 RESEARCH PURPOSE

1.1 RESEARCH QUESTIONS

1.2 STUDY STRUCTURE

2 VIRTUAL TEAM AND COORDINATION MECHANISM

2.1 SOFTWARE DEVELOPMENT METHODOLOGY

2.1.1 Waterfall / Agile methods

2.2 AGILE SOFTWARE DEVELOPMENT METHODS

2.3 COMPARATIVE THE AGILE METHODS

2.4 DEFINITION OF VIRTUAL DEVELOPMENT TEAMS IN ASDP

2.5 CHALLENGES OF VIRTUAL DEVELOPMENT TEAMS IN ASDP

2.6 IMPACT OF VIRTUAL DEVELOPMENT TEAMS ON THE ASDP

2.7 BUILDING A SUCCESSFUL VIRTUAL TEAM

2.7.1 Main critical criteria

2.7.2 Choose the Type of Virtual Team.

2.7.3 Team composition

2.7.4 Choose collaborative Technology.

2.8 DEFINITION OF TEAM COORDINATION

2.9 COORDINATION THEORIES

2.10 LITERATURE REVIEW

3 RESEARCH METHODOLOGY

3.1 INTRODUCTION

3.2 RESEARCH METHOD

3.3 POPULATION AND STATISTICAL SAMPLE

3.4 COLLECTING DATA METHOD

3.5 VALIDITY AND RELIABILITY

3.6 DATA ANALYSIS METHOD

3.6.1 Qualitative data analysis

3.6.2 Quantitative Data Analysis

3.6.3 Fuzzy Delphi approach

3.6.4 Fuzzy DEMATEL Method

3.6.5 Fuzzy Analytic Network Process (FANP)

3.6.6 Interpretive-structural modelling (ISM)

3.6.7 Structural equation modelling (SEM)

3.6.8 Combination of DEMATEL and SEM

4 DATA ANALYSIS

4.1 INTRODUCTION

4.2 QUALITATIVE SECTION

4.2.1 Open and axial coding

4.2.2 Concepts discovery and selective coding

4.3 QUANTITATIVE PHASE RESEARCH

4.3.1 Lawshe Coefficient

4.3.2 Fuzzy Delphi studies

4.4 FUZZY DEMATEL METHOD

4.5 DETERMINING IMPORTANCE BY (ANP)

4.6 INFERENTIAL STATISTICS

4.7 STRUCTURAL EQUATION MODELLING (SEM)

4.7.1 Measurement model

4.7.2 Correlation between variables and divergent validity

4.8 REVIEW AND QUALITY TEST OF THE STRUCTURAL MODEL

4.8.1 The First quality criterion: Path coefficients (β & t-values)

4.8.2 The second quality criterion: R- squared correlation (R2)

4.8.3 The Third quality criterion: Predictive correlation index Q2

4.8.4 Review of the general model

4.9 DETERMINING LEVELS BY INTERPRETIVE-STRUCTURAL METHOD (ISM)

4.9.1 The First step: Determining the variables used in the model.

4.9.2 The second step: obtaining the structural self-interaction matrix of the variables (SSIM).

4.9.3 The Third step: obtaining the Reachability matrix.

4.9.4 The Fourth step: Adapting the reachability matrix.

4.9.5 The fifth step: determining the level partitions and priority of the variables.

4.9.6 The sixth step: drawing the model.

4.9.7 Analysis of Driving-Dependency Power (MICMAC)

5 CONCLUSION

5.1 INTRODUCTION

5.2 DISCUSSION AND CONCLUSION

5.3 EXECUTIVE PROPOSALS OF THE RESEARCH

5.4 RESEARCH LIMITATIONS

5.5 SUGGESTIONS FOR FUTURE RESEARCH

Research Objectives and Key Topics

The primary objective of this research is to identify the critical internal and external human, behavioral, and organizational factors that influence the coordination mechanisms of virtual development teams. Furthermore, the study aims to establish a structural, interpretive model that maps the relationships between these factors and assesses their cumulative impact on the performance and productivity of these teams within the context of agile software development projects.

• Identification of constitutive components for virtual team coordination.
• Evaluation of the impact of coordination mechanisms on team performance.
• Development of a structural-interpretive model using hybrid research methods.
• Analysis of behavioral and organizational factors in distributed team environments.
• Provision of pragmatic insights and recommendations for project managers and organizations.

Excerpt from the Book

Chapter Summary

1 INTRODUCTION: This chapter provides a comprehensive background on the shift toward virtual development teams in software projects and sets forth the research objectives and questions.

2 VIRTUAL TEAM AND COORDINATION MECHANISM: This section explores the historical evolution of software development methodologies, defines virtual teams, and reviews existing coordination theories relevant to agile environments.

3 RESEARCH METHODOLOGY: This chapter details the hybrid methodological approach, explaining the selection of data collection tools and the analytical frameworks used, such as Fuzzy DEMATEL and interpretive-structural modelling.

4 DATA ANALYSIS: This chapter presents the empirical findings from both qualitative interviews and quantitative questionnaires, validating the conceptual model for coordination mechanisms.

5 CONCLUSION: This final chapter synthesizes the research outcomes, offering executive suggestions for improving virtual team coordination and identifying limitations and future research paths.

Keywords

Coordination mechanisms, Virtual development teams, Virtual development team, Software development methods, Agile software development project, Interpretive-structural modelling, Structural Equation Modelling, Partial least squares, Fuzzy Analytic Network Process, Decision-Making Trial and Evaluation Laboratory, Team performance, Knowledge sharing, Agile methodology, Virtual leadership, Remote work.

Frequently Asked Questions

What is the primary focus of this doctoral thesis?

This thesis investigates the impact of coordination mechanisms on the performance of virtual teams specifically operating within agile software development projects.

What are the core thematic areas covered in the research?

The core themes include agile software development methodologies, virtual team dynamics, coordination theories, organizational behavior, and the identification of influential factors in digital communication.

What is the primary research goal and central question?

The primary goal is to provide a structural and interpretive model of the relationships between coordination factors. The central research question involves identifying the impactful components that constitute effective coordination mechanisms for these teams.

Which scientific methodologies are utilized in this work?

The research employs a hybrid approach, including content analysis for qualitative data, and Fuzzy DEMATEL, Fuzzy Delphi, and Structural Equation Modelling (SEM) for quantitative evaluation.

What subjects are addressed in the main body of the work?

The main body covers the evolution of software development, the specific challenges faced by distributed agile teams, coordination theories, and the detailed statistical modeling of variables affecting team performance.

How would you characterize the defining keywords?

The keywords revolve around coordination mechanisms, virtual team efficiency, agile software development, structural-interpretive modeling (ISM), and performance evaluation metrics.

How does geographical distance impact coordination in this research?

Geographical distance is identified as a foundational variable that influences communication, cultural diversity, and organizational structure, necessitating specific management strategies to maintain cohesion.

What is the significance of the "Behavioral" factor group in this study?

The behavioral factors, including trust, teamwork, and sense of belonging, are identified as some of the most critical and impressionable components of the proposed model, serving as a focal point for organizational intervention.