Understanding the Role of Business Analytics [electronic resource] : Some Applications /
Chahal, Hardeep.editor.
Jyoti, Jeevan.editor.
Wirtz, Jochen.editor.
This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts. Varied studies relating to manufacturing and services sectors including healthcare, banking, information technology, power, education sector etc. stresses upon the systematic approach followed in applying the data analytical techniques; and also analyses how these techniques are effective in decision-making in different contexts. Especially, the application of regression modeling, financial modelling, multi-group modeling, cluster analysis, and sentiment analysis will help the readers in understanding critical business scenarios in the best possible way, and which later can help them in arriving at best solution for the business related problems. The individual chapters will help the readers in understanding the role of specific data analytic tools and techniques in resolving business operational issues experienced in manufacturing and service organisations in India and in developing countries. The book offers a relevant resource that will help readers in the application and interpretation of data analytical statistical practices relating to emerging issues like customer experience, marketing capability, quality of manufactured products, strategic orientation, high-performance human resource policy, employee resilience, financial resources, etc. This book will be of interest to a professional audience that include practitioners, policy makers, NGOs, managers and employees as well as academicians, researchers and students.
Managerial Traits and Collaborative Behaviours as Determinants of Export Propensity: An Application of Fuzzy-Set Qualitative Comparative Analysis -- Spiritual Well- being Scale within a Sample of Veterans of Iran-Iraq Warfare: An examination of psychometric properties -- Examining the Relationship between Organizational Justice, Job Security, and Organizational Citizenship Behavior in the Jordanian Banks: A Structural Equation Modeling Perspective -- Re-Investigating the Role of Market Orientation and Environmental Turbulence in Marketing Capabilities and Business Performance -- Impact of Customer Experience on Marketing Outcomes in Financial Services -- Examınıng Determınants of Turkısh Automotıve Industry Exports usıng Panel Quantıle Regressıon and Gravıty Model Approaches -- Cultural Intelligence and Knowledge Sharing: Role of Cultural Adjustment and Work Experience -- Stock price reactions to the announcement of general election results in India -- Prevention of Diabetes Through Knowledge, Awareness and Practice -- Corporate Project Dashboard Design Using Cost and Benefit Analysis: Evidence from Indonesia Leasing Industry.
This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts. Varied studies relating to manufacturing and services sectors including healthcare, banking, information technology, power, education sector etc. stresses upon the systematic approach followed in applying the data analytical techniques; and also analyses how these techniques are effective in decision-making in different contexts. Especially, the application of regression modeling, financial modelling, multi-group modeling, cluster analysis, and sentiment analysis will help the readers in understanding critical business scenarios in the best possible way, and which later can help them in arriving at best solution for the business related problems. The individual chapters will help the readers in understanding the role of specific data analytic tools and techniques in resolving business operational issues experienced in manufacturing and service organisations in India and in developing countries. The book offers a relevant resource that will help readers in the application and interpretation of data analytical statistical practices relating to emerging issues like customer experience, marketing capability, quality of manufactured products, strategic orientation, high-performance human resource policy, employee resilience, financial resources, etc. This book will be of interest to a professional audience that include practitioners, policy makers, NGOs, managers and employees as well as academicians, researchers and students.
Big data.
Management information systems.
Statistics.
Big Data/Analytics.
Business Process Management.
Statistics for Business, Management, Economics, Finance, Insurance.