Artificial Intelligence-Enabled Businesses

Sweta Dixit, PhD, is an associate professor in the Sharda School of Business Studies, Sharda University, Greater Noida, India. She has authored one book and published research articles and case studies on emotional intelligence, global mobility, performance management, and organizational culture. Dixit also conducts sessions on emotional intelligence, self-awareness, leadership, and negotiation skills. Mohit Maurya, PhD, is an associate professor in the Sharda School of Business Studies, Sharda University, Greater Noida, India. He has published several research papers in national and international journals and delivered lectures on hyper-localization, digital marketing, branding, business ethics, etc. He has authored 3 books. His scholarly work won the Emerald - AUC School of Business Cast Writing Competition in 2020. Vishal Jain, PhD, is an associate professor at Sharda University, Greater Noida, India. His research interests focus on information retrieval, the semantic web, ontology engineering, data mining, etc. He has edited 50 books for a variety of publishers and authored more than 100 research papers for reputed conferences and journals. Jain has several awards, which include the 2012 Young Active Member Award and the 2019 Best Researcher Award. Geetha Subramaniam, PhD, is a professor at the Faculty of Education, Languages, Psychology, and Music, SEGI University, Kuala Lumpur, Malaysia. Her research focuses on labor economics, sustainable development issues, teaching & learning, and educational management issues. She has published more than 100 journals, co-authored two economics textbooks, and is the managing editor of the Malaysian Journal of Qualitative Research.

• Preface xix1 Crafting Effective AI Adoption Strategies 1Aarti Neema and Rashid Khan1.1 Introduction 21.2 Understanding Business Objectives 21.3 Seller-Centric and Customer-Centric Approaches 31.4 Comparison of Seller-Centric Approach and Customer‐Centric Approach 41.5 Readiness Assessment 51.6 Data as the Foundation 61.7 Data Collection and Management 91.8 Data Integration 91.9 Building an AI Dream Team: Unleashing the Power of Expertise 111.10 Choosing the Right AI Solutions: Navigating the Sea of Possibilities 161.11 Ethics and Transparency: Ensuring Moral Integrity in AI Adoption 171.12 Managing Change and Resistance: Navigating the Human Dynamics of AI Adoption 191.13 Measuring Success and Iterative Improvement: Data-Driven Evolution of AI Initiatives 201.14 Conclusion: Navigating the AI-Enabled Future 22References 232 Role of Artificial Intelligence in Management and Preservation of Old Text Through New Tech 25Veenus Jain, Pallavi Mohanan and Mkrtchyan Naira2.1 Introduction 25Conclusion 35References 363 Deployment of AI and ML Techniques in the Form of Ontology for Improving Business Management Perspectives 39Aman Jandwani, Balraj Verma, Amit Mittal, Paras Jandwani and Gagandeep Singh Narula3.1 Introduction 393.2 AI/ML Applications in Business and Marketing Management 413.3 Methodology Adopted 413.4 Discussion and Findings 433.5 A Few Studies in Context of Innovation and Business Opportunity or Enterprise Ontologies 463.6 Conclusion and Future Scope 52References 534 Blockchain in Supply Chain Management: Applications, Advantages and Challenges 57Pijush Kanti Dutta Pramanik and Saurabh Pal4.1 Introduction 574.2 Related Work 594.3 Importance of Efficient SCM in Business 604.4 Components of SCM 664.5 Issues in Traditional SCM Systems 674.6 Advancement in SCM 684.7 Use of Blockchain in SCM 694.8 Advantages of Blockchain for SCM 704.9 Challenges in Implementing Blockchain in SCM 714.10 A General Framework of Blockchain-Based SCM 724.11 Considerations for Implementing Blockchain in SCM 744.12 Case Studies of Blockchain Adoption in SCM 754.13 Conclusions 77References 785 Artificial Intelligence for Supply Chain Optimization: Benefits, Challenges, and Potential Solutions 81Dhruv Kishore Bole and Narasimha Rao Vajjhala5.1 Introduction 815.2 AI in Organizational Supply Chain: Benefits 835.3 AI in Organizational Supply Chain: Implementation Challenges 855.4 Conclusion 905.5 Future Work 90References 916 Fusing New Age Technologies with Marketing Management: Navigating the Digital Frontier 95Ankitha K., Jayapadmini Kanchan, Harish Kunder, Shwetha S. Shetty, Ganaraj K. and Madhura Hegde6.1 Introduction 966.2 The Evolution of Marketing Management in the Digital Era 976.3 Understanding New Age Technologies in Marketing 986.4 Leveraging Data-Driven Insights for Targeted Marketing 1006.5 Enhancing Customer Engagement Through Immersive Experiences 1006.6 The Power of Social Media and Influencer Marketing 1006.7 Blockchain for Transparent and Trustworthy Marketing 1016.8 The Challenge of Data Privacy and Ethics 1016.9 Overcoming Barriers and Implementing New Age Technologies 1026.10 Conclusion 102References 1027 Nth Floor at Accenture—Next-Gen Onboarding Using Metaverse 105Rachna Bansal Jora, Ansh Agrawal, Edoardo Mazzetto, Sweta Dixit and Samson Lallawmkipa Darlong7.1 Introduction 1057.2 Concept of Metaverse 1097.3 Nth Floor at Accenture 1127.4 Conclusions 117References 1178 Smart HR with Smart Technologies 121Arnav Malhotra, Alka Maurya and Balasundram Maniam8.1 Introduction 1218.2 Technology Integration for Effective Human Resource Management 1218.3 Adoption of Latest Technologies for Effective HRM 1258.4 Conclusion 132References 1339 Securing Business Transactions Using Merkle Tree 137Ambika N.9.1 Introduction 137Background 144Merkle Tree 144Literature Survey 146Previous Study 148Analysis of the Work 151Future Scope 154Conclusion 156References 15610 InvestoAI-Tailored Investment Recommendation 159Niomi Samani, Tejas Uttare, Rama M. Maliya and Kedar Semani10.1 Introduction 16010.2 Literature Survey 16110.3 Methodology 16510.4 Conclusion and Future Scope of Work 179References 18211 Using AI Technology to Enhance Data-Driven Decision-Making in the Financial Sector 187Meng Wu, Geetha Subramaniam, Zeyu Li and Xiuchun Gao11.1 Introduction 18811.2 An Overview of AI Technology in Financial Analysis 19011.3 Case Studies of AI Technology in Financial Analysis 19411.4 Conclusion, Challenges, and Outlook 204References 20512 The Role of Artificial Intelligence (AI) in the Transformation of Smalland Medium-Sized Businesses: Challenges and Opportunities 209Arjita Jain, Kiran Shrimant Kakade and Swati Amit Vispute12.1 Introduction 209AI and Business Transformation in SMEs 211Growth of Artificial Intelligence Structures 212Implications of AI Systems for SMEs 213Implications for the Business Environment 214AI Diffusion and Challenges for SMEs 214Contribution of Artificial Intelligence (AI) in Transforming Businesses 218Overcoming Barriers and Ensuring Inclusivity 221Future Directions and Policy Interventions 222Future Research 223Conclusion 224References 22513 Applications of Artificial Intelligence and Machine Learning-Enabled Businesses: A SWOT Analysis for Human Society 227Santanu Koley, Shatadru Sengupta, Bipasha Biswas, Kankana Datta, Manasi Jana and Apratim Mitra13.1 Introduction 22813.2 Artificial Intelligence 22913.3 Machine Learning 23013.4 Deep Learning 23113.5 Applications of AI, ML and DL in Various Types of Businesses with SWOT Analysis 23213.6 Conclusion 25513.7 Future Work 256References 25614 Gamified Learning Environments for Higher Education Sustainability in Delhi Metropolitan Region 263Sonia Yadav, Sweta Dixit, Rachna Bansal and Canh Van Ta14.1 Introduction 26314.2 “Gamification” Online and Education for Sustainability 26414.3 Gamification and Theory of Self Determination 26414.4 In-Class Instruction in an Online Gamification EfS Learning Exercise 26614.5 The Idea of Gamification in Online Education 26714.6 Sustainability and Gamification in Recent Times 26714.7 Ecological Online Education 26814.8 Objectives 26914.9 Research Methodology 26914.10 Data Analysis 26914.11 Conclusion 271References 27215 Exploring the Impact of AI on Management and Healthcare for Streamlining Operations and Decision-Making 275Pranshu Mathur and Ajay Kumar15.1 Introduction 27515.2 Conceptual Framework 27615.3 Research Methodology 27715.4 AI Applications in Management 28115.5 Conclusion 28615.6 Future Research Direction 286References 28616 Empowering Defense: Harnessing AI for Next-Generation Warfare 289Nikki Rani, Komal Jindal, Rita Chikkara and Nidhi Malik16.1 Introduction 28916.2 AI Complies with Acquisition Procedures and Defense Behaviors 29016.3 Intelligent DDoS Mitigation System 29516.4 Advancing Defense: Nanotechnology and Natural Pathogen Defense in Fish 29816.5 Emerging Technologies and Defense: Exploring the Intersection of AI, Robotics, Swarm Drones, and India’s Defense Preparedness 30016.6 AI Projects in Defense: Impressive Achievements by the Indian Government 30416.7 Conclusion and Future Scope 307References 30817 Industry Augmented Reality Along with Artificial Intelligence: Developments, Resources, and Possible Concerns 311Sarabjeet Singh Sethi and Priyanka Sharma17.1 Introduction 31117.2 The Frameworks and Platforms for Augmented Reality 31317.3 Artificial Intelligence with Augmented Reality in Enterprise 32017.4 Challenges 32417.5 Conclusion 325References 32618 Transformative Effects of Smarter Chatbots: Unravelling the Vision, Challenges, and Capabilities of ChatGPT-Conversational AI 333C. Kishor Kumar Reddy, Patlolla Sathvika Reddy, Ashritha Pilly and Srinath Doss18.1 Introduction 33318.2 ChatGPT Summary Compilation 33518.3 Architecture of ChatGPT 34018.4 Training ChatGPT 34118.5 Applications of ChatGPT 34518.6 Conclusion 348References 34819 Application of Artificial Intelligence in Business Management for Prudent Decision Making 351Syed Tabassum Sultana and T. Venkat Narayana Rao19.1 Introduction 35119.2 Review of Literature 35219.3 Merits and Cons in Business Decisions with AI Involvement 35419.4 Applications of AI Tools in Business Models 35519.5 Artificial Intelligence-Based Data-Driven Insights 35619.6 How AI Can Transform the Industry 35919.7 Process Optimization Empowered by AI 36019.8 Risk Mitigation Using AI 36319.9 Applications of AI in Business Processes 36519.10 Advantages of AI 36619.11 Conclusion 367References 36820 Technology-Driven Business Ethics: A Philosophical Discourse 371Sooraj Kumar Maurya, Amarbahadur Yadav and Rajiv Nayan20.1 Introduction 37120.2 Research Methodology 37220.3 Business Ethics and Technology 37220.4 Evaluating the Applicability of Ethical Theories in Tech‐Infused Business Landscapes 37320.5 Hurdles Encountered in Maintaining Ethical Standards Within Technology-Driven Business Environments 37820.6 Conclusion 386References 38721 Harnessing the Power of Artificial Intelligence for Sustainable Development 391Ayan Harsh Sinha, Alka Maurya and J. Mark Munoz21.1 Introduction 39121.2 Conclusion 395References 39522 University Students’ Perception of Artificial Intelligence (AI) for Entrepreneurship Development in Selected Asian Countries of China, India, Indonesia, and Malaysia 397Doris Padmini Selvaratnam, Jaheer Mukhtar K.P., Evi Gravitiani and Wen Meiting22.1 Introduction 39722.2 Student Entrepreneurship 39922.3 Sustainability Livelihood 39922.4 Theoretical and Conceptual Framework 40022.5 Methodology 40222.6 Results and Discussion (ALL) 40222.7 Future of Entrepreneurship With The Advancement of Artificial Intelligence (AI) 41822.8 Policy Implication 41822.9 Conclusion 419References 41923 Clubhouse Unleashed: Harnessing the Power of Voice for Robust Social Networking and Business Growth 421Pooja Darda, Shailesh Pandey, Om Jee Gupta, Manpreet Kaur and Sanjaya Singh Gaur23.1 Introduction 42223.2 The Rise of Clubhouse 42223.3 The Clubhouse is the Next Major Thing 42323.4 Clubhouse’s Unique Appeal 42523.5 Brands Leveraging Clubhouse 42823.6 Psychological Aspects of Clubhouse Success 43123.7 The Acceptance and Arrival of Clubhouse in India 43223.8 Social Audio Application Challenge 43223.9 Clubhouse Expansion 43323.10 Conclusions and Future Scope 433References 43624 Artificial Intelligence (AI) as Strategy to Gain Competitive Advantage for Australian Higher Education Institutions (HEI) Under the New Post COVID-19 Scenario 439Rubaiyet Hasan Khan and Rohini Balapumi24.1 Introduction 440Types of Higher Educational Institutions in Australia 440Business Processes in Australian HEIs 441COVID-19 Impact on Business Processes for Australian HEIs 442Key Challenges of the Current Day 444Possible Solutions 445References 44725 AI for a Better Future—Perspectives from Young Employees in Malaysia and China 451Geetha Subramaniam, Wang Zhe, Zhu Dan and Narayanaswami Subramaniam25.1 Introduction 45125.2 Integration of AI in Job Roles and Professional Development 45625.3 Ethical and Social Implications of AI 45725.4 Future of AI in the Work Ecosystem 46025.5 Ability to Adapt to Use AI in Training and Job Roles 46225.6 Conclusion—AI and Workforce of the Future 464References 46426 Personalization and Customer Experience in the Era of Data-Driven Marketing 467Ambarish G. Mohapatra, Anita Mohanty, Subrat Kumar Mohanty, Nitaigour Premchand Mahalik and Sasmita Nayak26.1 Introduction to Data-Driven Marketing and Personalization 46726.2 Customer Segmentation and Targeting Strategies 47226.3 Content Personalization and Dynamic Messaging 47826.4 Optimizing Customer Journeys with Data Insights 48326.5 The Role of Artificial Intelligence in Personalization 48726.6 Personalization and Privacy: Balancing Data Ethics 49226.7 Personalization in Omnichannel Marketing 49726.8 Personalization in E-Commerce and Retail 50126.9 Conclusion 506References 509Index 513