Understanding the Role of Business Analytics (eBook)

Dr Hardeep Chahal is a professor in the Department of Commerce, University of Jammu, India. Her research interests focuses on services marketing with emphasis on consumer satisfaction and loyalty, service quality, brand equity and market orientation. Her work has been published in refereed international journals like Managing Service Quality, International Journal of Healthcare Quality and Assurance, International Journal of Bank Marketing, Journal of Relationship Marketing, Journal of Health Management, Journal of Relationship Marketing, Management Research Review, Total Quality Management and Excellence, Corporate Governance, Global Business Review etc. She has also co-edited books such as "Sustainable Competitive Advantage: A Road to Success" (Excel India Publishers, New Delhi, 2015), "Research Methodology in Commerce and Management" (Anmol Publications, New Delhi, 2004), and "Strategic Service Management" (Excel Books, New Delhi, 2010). She currently serves on the editorial boards of the International Journal of Health Quality and Assurance (Emerald) and Journal of Services Research (IIMT, India). She was a visiting fellow at the University of Loughborough, UK under Commonwealth Fellowship Scheme (British Academy Award) and also at Gandhi Institute of Business and Technology, Jakarta, Indonesia.Dr. Jeevan Jyoti is Assistant Professor at the Department of Commerce, University of Jammu, India, and has rich experience of teaching and research in business education. Her areas of interest are strategic human resource management, organisation behaviour, and entrepreneurship. She has publications in reputed international refereed journals such as Personnel Review, Cross Cultural Management: An International Journal, International Journal of Management Concepts and Philosophy, International Journal of Educational Management, IIMB Management Review, Total Quality Management and Business Excellence, Metamorphosis: A Journal of Management Research, Vision- Journal of Business perspective, Global Business Review, Sage Open etc. She has to her credit one edited book and seventeen chapters in edited books.  Jochen Wirtz is Vice Dean, Graduate Studies and Professor of Marketing at the NUS Business School, National University of Singapore. Dr Wirtz has published over 200 academic articles, book chapters and industry reports, including 5 features in Harvard Business Review. His over 10 books include Services Marketing: People, Technology, Strategy (World Scientific, 8th edition, 2016), Essentials in Services Marketing (Pearson Education, 3rd edition, 2018, and Winning in Service Markets (World Scientific, 2017).

Foreword 5
Preface 6
Acknowledgements 8
Contents 9
Editors and Contributors 11
1 Business Analytics: Concept and Applications 14
Abstract 14
1.1 Introduction 15
1.2 Business Analytics: Its Applications 16
1.3 Finance 17
1.4 Marketing 18
1.5 Human Resources/OB 20
References 21
2 Big Data Analytics: The Underlying Technologies Used by Organizations for Value Generation 22
Abstract 22
2.1 Introduction to Big Data 23
2.2 The V’s of the Big Data 25
2.2.1 Volume 25
2.2.2 Variety 26
2.2.3 Velocity 26
2.2.4 Veracity 26
2.2.5 Value 27
2.2.6 Variability 27
2.3 Big Data Classification 27
2.3.1 Structured Data 27
2.3.2 Unstructured Data 28
2.3.3 Semi-structured Data 29
2.4 Data at Rest and Data in Motion 29
2.4.1 Data at Rest 29
2.4.2 Data in Motion 30
2.5 Data Analytics 30
2.5.1 Types of Business Analytics 31
2.6 Big Data Paradigm in Business Organizations 32
2.6.1 Business Analytics: The Organizational Transformation 32
2.6.2 The Intelligent Enterprise 33
2.6.3 Intelligent Analysis 34
2.7 Technologies for Data Analytics 35
2.7.1 Hadoop—The Underlying Technology for Big Data Analytics 36
2.7.2 Hadoop in Business Organizations 38
2.7.3 Apache SPARK 39
2.8 Challenges of Big Data 40
2.9 Conclusion and Future Trends 42
References 42
3 Application of Panel Quantile Regression and Gravity Models in Exploring the Determinants of Turkish Automotive Export Industry 44
Abstract 44
3.1 Introduction 45
3.2 Methodology 48
3.2.1 GDP Per Capita 50
3.2.2 Population 50
3.2.3 The Distance Between Exporter Country to the Capital of Turkey 50
3.2.4 The Real Exchange Rate 50
3.2.5 The Dummy Variable 51
3.3 Empirical Evidence 51
3.4 Main Conclusions and Policy Implications 54
References 55
4 Impact of Macroeconomic and Bank-Specific Indicators on Net Interest Margin: An Empirical Analysis 58
Abstract 58
4.1 Introduction 59
4.2 Conceptual Framework 60
4.2.1 Net Interest Margin (NIM) 60
4.2.2 Economic Growth 61
4.2.3 Inflation 62
4.2.4 Lending Interest Rates (LIR) 62
4.2.5 Capital to Risk-Weighted Assets Ratio (CRAR) 63
4.2.6 Non-Performing Loans (NPL) 64
4.3 Review of Literature 64
4.4 Objectives of the Study 66
4.5 Research Methodology 66
4.5.1 Data Sources 66
4.5.2 Nature of Data 66
4.5.3 Sample and Period of the Study 67
4.5.4 Analytical Model 67
4.5.5 Data Analyses Techniques 67
4.6 Analysis 69
4.6.1 Interpretation and Findings 71
4.7 Limitations of the Study 74
4.8 Conclusion 74
4.9 Directions for Future Research 75
References 76
5 A Trend Analysis of Reforms in the Indian Bond Market 78
Abstract 78
5.1 Introduction 79
5.2 Review of Literature 79
5.3 Reforms in the Indian Bond Market 81
5.4 Methodology 82
5.5 Impact of Reforms on Bond Market 82
5.5.1 Expansion of Governments Securities Market 82
5.5.2 Expansion of Indian Corporate Bond Market 84
5.5.3 Turnover of Government Securities Market (Face Value) 88
5.5.4 Treasury Bills Outstanding 90
5.5.5 Ownership Pattern of Government of India Dated Securities 90
5.5.6 Maturity Pattern of Government of India Rupee Loans 93
5.5.7 Indian 10-Year Government Bonds Yield 96
5.6 Conclusion 97
References 98
6 Demand Forecasting of the Short-Lifecycle Dairy Products 100
Abstract 100
6.1 Introduction 101
6.2 Literature Review 102
6.2.1 Research Gaps 103
6.3 Methodology 103
6.3.1 Data Collection 104
6.3.2 Demand Pattern Analysis 104
6.4 Analysis, Result, and Discussions 107
6.4.1 Forecasting Results 107
6.4.1.1 Forecasting Results for Milk 107
6.4.1.2 Forecasting Results for Curd 108
6.4.1.3 Forecasting Results for Paneer 109
6.4.1.4 Forecasting Results for Plain Lassi 110
6.4.1.5 Forecasting Results for Kheer 111
6.4.1.6 Forecasting Results for Ice Cream 112
6.4.1.7 Forecasting Results for Table Butter 113
6.4.1.8 Forecasting Results for Pio bottle 114
6.4.1.9 Forecasting Results for Ghee 115
6.4.1.10 Forecasting Results for Milk: Daily Demand 116
6.4.2 Hypothesis 117
6.5 Conclusions 117
6.5.1 Managerial/Research Implications 118
Acknowledgements 119
Appendix 119
References 129
7 Customer Experience and Its Marketing Outcomes in Financial Services: A Multivariate Approach 131
Abstract 131
7.1 Introduction 132
7.2 Review of Literature and Hypotheses Development 133
7.2.1 Customer Experience Dimensions 135
7.2.2 Customer Experience Outcomes 137
7.3 Research Methodology 138
7.3.1 Descriptive Statistics 139
7.3.2 Scale Development 139
7.3.3 Confirmatory Factor Analysis 139
7.3.3.1 Customer Experience Quality 140
7.3.3.2 Customer Experience with Marketing Outcomes 141
Customer Experience—Customer Satisfaction (Table 7.2) 141
Customer Experience—Behavioural Loyalty Intentions (Fig. 7.1) 142
Customer Experience—Word-of-Mouth 144
Customer Experience—Service Value (Table 7.5) 145
7.3.3.3 Overall Confirmatory Factor Analysis 147
7.3.4 Reliability and Validity 148
7.3.5 Results of Hypothesis Testing 149
7.3.6 Discussion 151
7.3.7 Implications, Limitations and Future Research 153
References 153
8 Re-investigating Market Orientation and Environmental Turbulence in Marketing Capability and Business Performance Linkage: A Structural Approach 156
Abstract 156
8.1 Introduction 157
8.2 Literature Review and Hypotheses Development 158
8.2.1 Marketing Capability 158
8.2.2 Market Orientation 159
8.3 Research Methodology 163
8.3.1 Generation of Scale Items 163
8.3.2 Data Collection 163
8.3.3 Exploratory Factor Analysis (EFA) 163
8.3.4 Confirmatory Factor Analysis (CFA) 165
8.3.5 Common Method Bias 168
8.3.6 Reliability and Validity 170
8.3.6.1 Reliability 170
8.3.6.2 Validity 171
8.4 Results of Hypotheses Testing 171
8.4.1 Mediation Results 171
8.4.2 Moderation Results 175
8.5 Discussions 175
8.6 Managerial Implications 176
8.7 Limitations and Directions for Future Research 177
References 177
9 Examining the Impact of Cultural Intelligence on Knowledge Sharing: Role of Moderating and Mediating Variables 180
Abstract 180
9.1 Introduction 181
9.2 Objectives of the Study 182
9.3 Review of Literature and Hypotheses Development 182
9.3.1 Cultural Intelligence, Experience and Cross-Cultural Adjustment 182
9.3.2 Cultural Intelligence, Cross-Cultural Adjustment and Knowledge Sharing 183
9.4 Research Methodology 186
9.4.1 Data Collection 186
9.4.2 Measures 186
9.5 Results 187
9.5.1 Exploratory Factor Analysis (EFA) 187
9.5.2 Confirmatory Factor Analysis (CFA) 188
9.5.3 Common Method Bias 190
9.5.4 Examining the Impact of Cultural Intelligence on Knowledge Sharing: Role of Moderating and Mediating Variables 190
9.5.4.1 Moderation 190
9.5.4.2 Mediation 190
9.5.4.3 Moderated-Mediation Test 191
9.6 Discussion 192
9.7 Implications 194
9.7.1 Theoretical Implications 194
9.7.2 Practical Implications 194
9.8 Limitations and Future Research 195
References 196
10 Employer Branding Analytics and Retention Strategies for Sustainable Growth of Organizations 200
Abstract 200
10.1 Introduction 201
10.2 Literature Review 203
10.3 Methodology 204
10.3.1 Sample 204
10.3.2 Instruments 205
10.4 Organizational Attractiveness Scale (OAS) 206
10.5 Statistical Analysis 207
10.6 Total Variance Explained 207
10.7 Analysis 209
10.8 Discussion 212
10.8.1 Relationship Between EB and OA 212
10.8.2 Prediction of OA with the EB Dimensions 213
10.9 Implications and Contribution 213
10.10 Limitations and Future Research Direction 214
10.11 Conclusion 214
References 214
11 Correction to: Customer Experience and Its Marketing Outcomes in Financial Services: A Multivariate Approach 217
Correction to: Chapter 7 in: H. Chahal et al. (eds.), Understanding the Role of Business Analytics, https://doi.org/10.1007/978-981-13-1334-9_7 217