Making Software Teams Effective How Agile Practices Lead to Project Success Through Teamwork Mechanisms 1st Edition by Chaehan So ISBN 978-3631603376 3631603371
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Product details:
ISBN 10: 3631603371
ISBN 13: 978-3631603376
Author: Chaehan So
How does good teamwork emerge?
Can we control mechanisms of teamwork?
The author has analyzed these questions in a study involving 227 participants of 55 software development teams. First, he empirically confirmed his teamwork model based on innovation research, goal setting and control theory. Second, he measured the impact of a wide selection of agile practices on these teamwork mechanisms. Third, he explained these impacts based on a thorough review of current psychological research.
This book is intended for people working in agile contexts as they will gain insight into the complexity of how «good teamwork» emerges. This insight on team dynamics may also prove valuable for upper management for calibrating agile practices and «soft factors», thus increasing the effectiveness of software teams.
Table of contents:
1 Introduction
2 Theoretical Framework
2.1 Agile Software Development
2.1.1 Core Values and Principles
2.1.2 Agile Practices
2.1.3 Research Coverage of Agile Practices
2.2 Team Effectiveness Research
2.2.1 Basic Terminology
2.2.2 A Causal Model of Teamwork
2.2.3 Model Extension
2.3 Goal Setting Theory
2.3.1 Goal Commitment and Participation
2.3.2 Social Support.
2.4 Control Theory
2.4.1 Open Communication
2.4.2 Adaptation
2.4.3 Integration of Control Theory and Goal Setting Theory
2.5 Hypotheses
3 Method
3.1 Sample
3.1.1 Sample Organizational Context
3.1.2 Sample Agile Context
3.1.3 Sample Participants
3.2 Procedure
3.2.1 Item Generation
3.2.2 Pretest 1
3.2.3 Pretest 2
3.2.4 Final Study
3.3 Conceptualization of Measures
3.3.1 Independent Variables.
3.3.2 Dependent Variables
3.3.3 Process Variables
3.3.4 Descriptive Variables
3.4 Scale Construction
3.4.1 Referent-Shift Model
3.4.2 Content Validity
3.4.3 Reliability
3.4.4 Factor Structure
3.4.5 Improvement after Pretest 1: Model Reduction
3.4.6 Improvement after Pretest 2: Scale Refinement
3.4.7 Scale Construction Finalization
3.5 Structural Equation Modeling
3.5.1 Causality in Structural Equation Models
3.5.2 Theoretical Fundamentals of SEM.
3.5.3 Model Estimation.
3.5.4 Model Evaluation
3.5.5 Small Sample Size Approach
3.6 SEM Assumptions
3.6.1 Continuous Distribution
3.6.2 Normal Distribution
3.6.3 Unidimensionality
3.6.4 Uncorrelatedness of Errors
3.6.5 Recursive Model
4 Results
4.1 Scales Analysis
4.1.1 Reliability Analysis
4.1.2 Descriptive Statistics
4.2 Principal Factor Analysis
4.2.1 Independent Variables
4.2.2 Process Variables
4.2.3 Dependent Variables
4.2.4 Summary of Principal Factor Analysis
4.3 Normal Distribution Analysis
4.3.1 Kolmogorov-Smirnov Test
4.3.2 Normal Distribution Tests on Skewness and Kurtosis
4.3.3 Histogram Distribution Analysis
4.3.4 Summary of Normal Distribution Analysis
4.4 Total Aggregation Model Analysis
4.4.1 Original Total Aggregation Model
4.4.2 Model Improvement
4.4.3 Model Refinement
4.5 Partial Disaggregation Model Analysis
4.5.1 Original Partial Disaggregation Model
4.5.2 Partial Disaggregation Measurement Model Optimization
4.5.3 Model Improvement
4.5.4 Model Refinement
4.5.5 Comparison Final Partial and Total Aggregation Model
4.6 Overview Results
5 Discussion
5.1 Conclusions
5.2 Contributions
5.3 Theoretical Implications.
5.3.1 Teamwork Mechanisms
5.3.2 Agile Practices Effects
5.3.3 Comparison of SEM Analysis Methods
5.4 Practical Implications
5.5 Limitations.
5.5.1 Selection Bias
5.5.2 Model Fit.
5.5.3 Aggregation
5.6 Future Research
5.7 Closing Remark.
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