Competitive Trends and Technologies in Business Management

Description

This book explains the global business management domain in the current scenario and it covers the latest concepts in business and technologies applied for their successful implementation. The growth of global corporations has led to the development of new business strategies by the applications of new technologies. The critical success factors of business management depend on the successful applications of information systems and information technologies. To achieve competitive advantages, business management is applying strategies from technological perspectives for various concepts such as customer relationship management, cost management, marketing management, etc. Competitive Trends and Technologies in Business Management describes the applications and concept of IS in business management and presents the success stories of business. The book assesses competitive business management from an IS and IT perspective, examining business development policies linked to the profitability of global firms. The book covers comprehensive topics such as use of green technology in business processes, machine learning in business education, and artificial intelligence in the business sector. This book will drive readers to actively think through the most fundamental business concepts developed by IS and IT in the current competitive landscape and provides answers to questions such as: what are the new drivers of Business Management? and how do businesses apply IS and IT? The current Covid pandemic has caused serious financial loss to developing countries, and this book will help to explore new options of expanding markets for businesses by the applications of IS and IT. Preface Acknowledgments Chapter 1 Applications of Decision Support Systems in CRM Abstract 1. Introduction 2. Literature Review 3. Theoretical Perspectives of Research Methodology 4. Discussion 5. Research Procedure 5. Results Conclusion References Chapter 2 Successful E-CRM by the Application of Management Information Systems Abstract 1. Introduction 2. Literature Review 3. Discussion 4. Results Conclusion References Chapter 3 Applications of Green Information Technologies in Business Process Management Abstract 1. Introduction 2. Literature Review 3. Discussion 4. Results Conclusion References Chapter 4 Consumer Behavior Appraisal for Health and Fitness Services Abstract 1. Introduction 1.1. Purpose of the Study 1.2. Scope of the Study 2. Literature Review 3. Discussion 3.1. Details of Hypothesis 3.2. Research Methodology 3.3. Research Design 3.4. Consumer Research Process 3.5. Data Types 3.6. Scaling Method for This Study 4. Results 4.1. Demographic Findings 4.2. Psychological Finding 4.2.1. Tangibility 4.2.2. Reliability 4.2.3. Responsiveness 4.2.4. Assurance 4.2.5. Empathy Conclusion References Chapter 5 Economies of Scale for Security Applications in Business Abstract Introduction Literature Review 2.1. Feeding Techniques Discussion Applications of Microsript Patch Antenna Working of P.Mgnt Patch Management Life Cycle PRP PDPT PDR PI PIP PRV Cost Management for P.Mgnt Results Conclusion References Chapter 6 Virtual Learning in Business Information Systems: A Case Study on Quality Matters Applications Abstract 1. Introduction 2. Literature Review 3. Methodology/Discussion 4. Results Conclusion References Chapter 7 Application of Data Management System in Business-to-Business Electronic Commerce Abstract 1. Introduction 2. Literature Review 3. Methodology 4. Analysis and Findings through Bibliometric Analysis 4.1. Database Management 4.2. Electronic Commerce 4.3. Database Management in B2B E-Commerce Conclusion and Recommendations References Chapter 8 Applications of E-Learning Tools for Achieving Students Learning Outcomes for Business Programs Abstract 1. Introduction 2. Literature Review 3. Research Methodology 4. Discussion and Findings 5. Results Conclusion References Chapter 9 Emerging Technologies in Finance and Market: Applications of AI Abstract 1. Introduction 2. Literature Review 3. Discussion 3.1. Micro Financial Point 3.2. Possible Effects of AI in Financial Markets 3.3. Possible Effects of AI Learning on FI 3.4. Possible Effects of AI on Consumers and Investors 3.5. Macro-Financial Analysis 4. Results Conclusion References About the Editors Index Blank Page