This book is a culmination of sustained research work on the evaluation of cricket and its management to imbibe a balance between its various formats by using data and analytics. The book has identified three primary stakeholders―administrators, players and spectators―each having their own ambitions. In order for convergence of these ambitions, it has prescribed the networked governance in place of hierarchic governance for the International Cricket Council (ICC), the cricket’s apex body. This book aims at creating a balance between formats that each country should play.
There is as much dearth of academic research on this topic, as there is abundance of individual viewpoints from professionals related to the game. Hence at the outset, the book has created a action points and has underlined the lack of convergence with present way of governance. This book has created a meta-metric framework for formative assessment of influence across cricket formats. In order to assess the influence of T20 on test matches and on India’s performance, a comparison between pre-IPL period (1998–2007) and post-IPL period (2008–2017) by using this framework has been done.
Author(s): Subhasis Ray
Series: Sports Economics, Management and Policy, 20
Publisher: Springer
Year: 2022
Language: English
Pages: 200
City: Singapore
Preface
Contents
About the Author
Abbreviations
List of Figures
List of Tables
1 Introduction
1.1 Cricket and Its Evolution
1.2 The Cricketing Ecosystem
1.2.1 Political Dimension
1.2.2 Commercial Dimension
1.2.3 Social Dimension
1.2.4 Technical Dimension
1.3 Crises and Resilience
1.4 IPL: The Game Changer
1.5 Conclusion
References
2 Management of the Cricketing Ecosystem
2.1 Stakeholders and Governance
2.2 Scant Management Focus in Contemporary Research
2.3 Establishing the Research Paradigms
2.3.1 Methodology
2.3.2 Sentiment Analysis of Viewpoints
2.3.3 Summary of Action Points
2.3.4 Evidence Based Assessment of Gaps
2.3.5 Research Paradigms
2.4 Finalising Scope of This Book
2.5 Conclusion
References
3 Impact Assessment Framework across Cricket Formats
3.1 Introduction
3.2 Modus Operandi
3.3 Ranking Three Formats of Cricket
3.4 Meta-Metric Framework for Formative Assessment
3.4.1 Influence of T20 on Test Matches
3.4.2 Influence of IPL on India’s Test Performance
3.5 Suggestions for Making Test Matches Popular
3.6 Conclusion
References
4 Formative Assessment of T20 Influences
4.1 Defining the Metrics under the Meta-metric Framework
4.2 Scraping Secondary Data from the Web
4.2.1 Strategy for Secondary Data Collection
4.2.2 Approaches for Scraping from the Web
4.3 Analysis-Ready Data Preparation
4.3.1 Data Validation
4.3.2 Data Transformation
4.4 Impact Assessment of T20 on Test Matches
4.5 Impact Assessment of T20 on India’s Test Performance
4.6 Summary Findings
References
5 Cricketers’ Career Pattern
5.1 Sportspersons Career Transition
5.2 A Look at the Related Works
5.3 Preparing the Base for Analysis
5.3.1 Hypothesis Formation and Data Identification for the First Question
5.3.2 Research Planning and Data Identification for the Second Question
5.4 Data Preparation
5.5 Career Patterns (Indian Players)
5.6 Career Patterns (Australian Players)
5.7 Closing Discussion
References
6 Fans’ Expectations from Cricket
6.1 Introduction
6.2 Sports as a Service and Fans as Its Consumers
6.3 Deriving the Construct REST
6.4 Hypotheses Formulation
6.5 Data Preprocessing
6.6 Results and Discussions
6.6.1 Effect of Age and Gender on Liking a Cricket Format
6.6.2 Modeling Overall Liking Using SEM
6.6.3 Performance Analysis for Test Matches
6.6.4 Performance Analysis for ODI Matches
6.6.5 Performance Analysis for T20 Matches
6.7 Managerial Implications
6.8 Conclusion
References
7 Steady-State Cricket Mix
7.1 Introduction
7.2 Volumetric Analysis of Cricket Mix
7.3 Country Progression across Formats
7.4 Identifying Homogeneous Cricket Regions
7.5 Steady-State Cricket Mix Using Markov Chain Analysis
7.6 Conclusion
References
8 Fine-Tuning the Cricket Mix
8.1 The Concept of Value
8.2 Problem Formulation
8.3 Value Creation and Appreciation Matrices
8.4 What-If Analysis
8.5 Conclusion
References
9 Concluding Remarks
9.1 Theoretical Novelty
9.2 Management Implications
9.3 Future Directions
References
Appendix
A.1 Questionnaire for Expert Panel
A.2 Questionnaire for Cricket Enthusiast
A.3 R Code Snippet
A.4 Google Sheets Code Snippet
A.5 Python Code Snippet
A.6 Java Code Snippet
