{"product_id":"artificial-intelligence-enabled-businesses-how-to-develop-strategies-for-innovation-hardback-9781394233977","title":"Artificial Intelligence-Enabled Businesses; How to Develop Strategies for Innovation (Hardback) 9781394233977","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Intelligence-Enabled Businesses\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eHow to Develop Strategies for Innovation\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eSweta Dixit (Edited by), Dixit (Author), Mohit Maurya (Edited by), Vishal Jain (Edited by), Geetha Subramaniam (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394233977, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 10 December 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e544 pages\u003cbr\u003e25.4 x 17.8 x 3.2 cm, 1.293 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eThis book has a multidimensional perspective on AI solutions for business innovation and real-life case studies to achieve competitive advantage and drive growth in the evolving digital landscape.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eArtificial Intelligence-Enabled Businesses\u003c\/i\u003e demonstrates how AI is a catalyst for change in business functional areas. Though still in the experimental phase, AI is instrumental in redefining the workforce, predicting consumer behavior, solving real-life marketing dynamics and modifications, recommending products and content, foreseeing demand, analyzing costs, strategizing, managing big data, enabling collaboration of cross-entities, and sparking new ethical, social and regulatory implications for business. Thus, AI can effectively guide the future of financial services, trading, mobile banking, last-mile delivery, logistics, and supply chain with a solution-oriented focus on discrete business problems. Furthermore, it is expected to educate leaders to act in an ever more accurate, complex, and sophisticated business environment with the combination of human and machine intelligence. \u003c\/p\u003e\n\u003cp\u003eThe book offers effective, efficient, and strategically competent suggestions for handling new challenges and responsibilities and is aimed at leaders who wish to be more innovative. It covers the early stages of AI adoption by organizations across their functional areas and provides insightful guidance for practitioners in the suitable and timely adoption of AI. This book will greatly help to scale up AI by leveraging interdisciplinary collaboration with cross-functional, skill-diverse teams and result in a competitive advantage. \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience\u003c\/b\u003e\u003cbr\u003e This book is for marketing professionals, organizational leaders, and researchers to leverage AI and new technologies across various business functions. It also fits the needs of academics, students, and trainers, providing insights, case studies, and practical strategies for driving growth in the rapidly evolving digital landscape.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Crafting Effective AI Adoption Strategies 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAarti Neema and Rashid Khan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Understanding Business Objectives 2\u003c\/p\u003e \u003cp\u003e1.3 Seller-Centric and Customer-Centric Approaches 3\u003c\/p\u003e \u003cp\u003e1.4 Comparison of Seller-Centric Approach and Customer‐Centric Approach 4\u003c\/p\u003e \u003cp\u003e1.5 Readiness Assessment 5\u003c\/p\u003e \u003cp\u003e1.6 Data as the Foundation 6\u003c\/p\u003e \u003cp\u003e1.7 Data Collection and Management 9\u003c\/p\u003e \u003cp\u003e1.8 Data Integration 9\u003c\/p\u003e \u003cp\u003e1.9 Building an AI Dream Team: Unleashing the Power of Expertise 11\u003c\/p\u003e \u003cp\u003e1.10 Choosing the Right AI Solutions: Navigating the Sea of Possibilities 16\u003c\/p\u003e \u003cp\u003e1.11 Ethics and Transparency: Ensuring Moral Integrity in AI Adoption 17\u003c\/p\u003e \u003cp\u003e1.12 Managing Change and Resistance: Navigating the Human Dynamics of AI Adoption 19\u003c\/p\u003e \u003cp\u003e1.13 Measuring Success and Iterative Improvement: Data-Driven Evolution of AI Initiatives 20\u003c\/p\u003e \u003cp\u003e1.14 Conclusion: Navigating the AI-Enabled Future 22\u003c\/p\u003e \u003cp\u003eReferences 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Role of Artificial Intelligence in Management and Preservation of Old Text Through New Tech 25\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVeenus Jain, Pallavi Mohanan and Mkrtchyan Naira\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 25\u003c\/p\u003e \u003cp\u003eConclusion 35\u003c\/p\u003e \u003cp\u003eReferences 36\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Deployment of AI and ML Techniques in the Form of Ontology for Improving Business Management Perspectives 39\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAman Jandwani, Balraj Verma, Amit Mittal, Paras Jandwani and Gagandeep Singh Narula\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 39\u003c\/p\u003e \u003cp\u003e3.2 AI\/ML Applications in Business and Marketing Management 41\u003c\/p\u003e \u003cp\u003e3.3 Methodology Adopted 41\u003c\/p\u003e \u003cp\u003e3.4 Discussion and Findings 43\u003c\/p\u003e \u003cp\u003e3.5 A Few Studies in Context of Innovation and Business Opportunity or Enterprise Ontologies 46\u003c\/p\u003e \u003cp\u003e3.6 Conclusion and Future Scope 52\u003c\/p\u003e \u003cp\u003eReferences 53\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Blockchain in Supply Chain Management: Applications, Advantages and Challenges 57\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePijush Kanti Dutta Pramanik and Saurabh Pal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 57\u003c\/p\u003e \u003cp\u003e4.2 Related Work 59\u003c\/p\u003e \u003cp\u003e4.3 Importance of Efficient SCM in Business 60\u003c\/p\u003e \u003cp\u003e4.4 Components of SCM 66\u003c\/p\u003e \u003cp\u003e4.5 Issues in Traditional SCM Systems 67\u003c\/p\u003e \u003cp\u003e4.6 Advancement in SCM 68\u003c\/p\u003e \u003cp\u003e4.7 Use of Blockchain in SCM 69\u003c\/p\u003e \u003cp\u003e4.8 Advantages of Blockchain for SCM 70\u003c\/p\u003e \u003cp\u003e4.9 Challenges in Implementing Blockchain in SCM 71\u003c\/p\u003e \u003cp\u003e4.10 A General Framework of Blockchain-Based SCM 72\u003c\/p\u003e \u003cp\u003e4.11 Considerations for Implementing Blockchain in SCM 74\u003c\/p\u003e \u003cp\u003e4.12 Case Studies of Blockchain Adoption in SCM 75\u003c\/p\u003e \u003cp\u003e4.13 Conclusions 77\u003c\/p\u003e \u003cp\u003eReferences 78\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Artificial Intelligence for Supply Chain Optimization: Benefits, Challenges, and Potential Solutions 81\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDhruv Kishore Bole and Narasimha Rao Vajjhala\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 81\u003c\/p\u003e \u003cp\u003e5.2 AI in Organizational Supply Chain: Benefits 83\u003c\/p\u003e \u003cp\u003e5.3 AI in Organizational Supply Chain: Implementation Challenges 85\u003c\/p\u003e \u003cp\u003e5.4 Conclusion 90\u003c\/p\u003e \u003cp\u003e5.5 Future Work 90\u003c\/p\u003e \u003cp\u003eReferences 91\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Fusing New Age Technologies with Marketing Management: Navigating the Digital Frontier 95\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAnkitha K., Jayapadmini Kanchan, Harish Kunder, Shwetha S. Shetty, Ganaraj K. and Madhura Hegde\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 96\u003c\/p\u003e \u003cp\u003e6.2 The Evolution of Marketing Management in the Digital Era 97\u003c\/p\u003e \u003cp\u003e6.3 Understanding New Age Technologies in Marketing 98\u003c\/p\u003e \u003cp\u003e6.4 Leveraging Data-Driven Insights for Targeted Marketing 100\u003c\/p\u003e \u003cp\u003e6.5 Enhancing Customer Engagement Through Immersive Experiences 100\u003c\/p\u003e \u003cp\u003e6.6 The Power of Social Media and Influencer Marketing 100\u003c\/p\u003e \u003cp\u003e6.7 Blockchain for Transparent and Trustworthy Marketing 101\u003c\/p\u003e \u003cp\u003e6.8 The Challenge of Data Privacy and Ethics 101\u003c\/p\u003e \u003cp\u003e6.9 Overcoming Barriers and Implementing New Age Technologies 102\u003c\/p\u003e \u003cp\u003e6.10 Conclusion 102\u003c\/p\u003e \u003cp\u003eReferences 102\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Nth Floor at Accenture—Next-Gen Onboarding Using Metaverse 105\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRachna Bansal Jora, Ansh Agrawal, Edoardo Mazzetto, Sweta Dixit and Samson Lallawmkipa Darlong\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 105\u003c\/p\u003e \u003cp\u003e7.2 Concept of Metaverse 109\u003c\/p\u003e \u003cp\u003e7.3 Nth Floor at Accenture 112\u003c\/p\u003e \u003cp\u003e7.4 Conclusions 117\u003c\/p\u003e \u003cp\u003eReferences 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Smart HR with Smart Technologies 121\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eArnav Malhotra, Alka Maurya and Balasundram Maniam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 121\u003c\/p\u003e \u003cp\u003e8.2 Technology Integration for Effective Human Resource Management 121\u003c\/p\u003e \u003cp\u003e8.3 Adoption of Latest Technologies for Effective HRM 125\u003c\/p\u003e \u003cp\u003e8.4 Conclusion 132\u003c\/p\u003e \u003cp\u003eReferences 133\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Securing Business Transactions Using Merkle Tree 137\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAmbika N.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 137\u003c\/p\u003e \u003cp\u003eBackground 144\u003c\/p\u003e \u003cp\u003eMerkle Tree 144\u003c\/p\u003e \u003cp\u003eLiterature Survey 146\u003c\/p\u003e \u003cp\u003ePrevious Study 148\u003c\/p\u003e \u003cp\u003eAnalysis of the Work 151\u003c\/p\u003e \u003cp\u003eFuture Scope 154\u003c\/p\u003e \u003cp\u003eConclusion 156\u003c\/p\u003e \u003cp\u003eReferences 156\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 InvestoAI-Tailored Investment Recommendation 159\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNiomi Samani, Tejas Uttare, Rama M. Maliya and Kedar Semani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 160\u003c\/p\u003e \u003cp\u003e10.2 Literature Survey 161\u003c\/p\u003e \u003cp\u003e10.3 Methodology 165\u003c\/p\u003e \u003cp\u003e10.4 Conclusion and Future Scope of Work 179\u003c\/p\u003e \u003cp\u003eReferences 182\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Using AI Technology to Enhance Data-Driven Decision-Making in the Financial Sector 187\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMeng Wu, Geetha Subramaniam, Zeyu Li and Xiuchun Gao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 188\u003c\/p\u003e \u003cp\u003e11.2 An Overview of AI Technology in Financial Analysis 190\u003c\/p\u003e \u003cp\u003e11.3 Case Studies of AI Technology in Financial Analysis 194\u003c\/p\u003e \u003cp\u003e11.4 Conclusion, Challenges, and Outlook 204\u003c\/p\u003e \u003cp\u003eReferences 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 The Role of Artificial Intelligence (AI) in the Transformation of Smalland Medium-Sized Businesses: Challenges and Opportunities 209\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eArjita Jain, Kiran Shrimant Kakade and Swati Amit Vispute\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 209\u003c\/p\u003e \u003cp\u003eAI and Business Transformation in SMEs 211\u003c\/p\u003e \u003cp\u003eGrowth of Artificial Intelligence Structures 212\u003c\/p\u003e \u003cp\u003eImplications of AI Systems for SMEs 213\u003c\/p\u003e \u003cp\u003eImplications for the Business Environment 214\u003c\/p\u003e \u003cp\u003eAI Diffusion and Challenges for SMEs 214\u003c\/p\u003e \u003cp\u003eContribution of Artificial Intelligence (AI) in Transforming Businesses 218\u003c\/p\u003e \u003cp\u003eOvercoming Barriers and Ensuring Inclusivity 221\u003c\/p\u003e \u003cp\u003eFuture Directions and Policy Interventions 222\u003c\/p\u003e \u003cp\u003eFuture Research 223\u003c\/p\u003e \u003cp\u003eConclusion 224\u003c\/p\u003e \u003cp\u003eReferences 225\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Applications of Artificial Intelligence and Machine Learning-Enabled Businesses: A SWOT Analysis for Human Society 227\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSantanu Koley, Shatadru Sengupta, Bipasha Biswas, Kankana Datta, Manasi Jana and Apratim Mitra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 228\u003c\/p\u003e \u003cp\u003e13.2 Artificial Intelligence 229\u003c\/p\u003e \u003cp\u003e13.3 Machine Learning 230\u003c\/p\u003e \u003cp\u003e13.4 Deep Learning 231\u003c\/p\u003e \u003cp\u003e13.5 Applications of AI, ML and DL in Various Types of Businesses with SWOT Analysis 232\u003c\/p\u003e \u003cp\u003e13.6 Conclusion 255\u003c\/p\u003e \u003cp\u003e13.7 Future Work 256\u003c\/p\u003e \u003cp\u003eReferences 256\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Gamified Learning Environments for Higher Education Sustainability in Delhi Metropolitan Region 263\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSonia Yadav, Sweta Dixit, Rachna Bansal and Canh Van Ta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 263\u003c\/p\u003e \u003cp\u003e14.2 “Gamification” Online and Education for Sustainability 264\u003c\/p\u003e \u003cp\u003e14.3 Gamification and Theory of Self Determination 264\u003c\/p\u003e \u003cp\u003e14.4 In-Class Instruction in an Online Gamification EfS Learning Exercise 266\u003c\/p\u003e \u003cp\u003e14.5 The Idea of Gamification in Online Education 267\u003c\/p\u003e \u003cp\u003e14.6 Sustainability and Gamification in Recent Times 267\u003c\/p\u003e \u003cp\u003e14.7 Ecological Online Education 268\u003c\/p\u003e \u003cp\u003e14.8 Objectives 269\u003c\/p\u003e \u003cp\u003e14.9 Research Methodology 269\u003c\/p\u003e \u003cp\u003e14.10 Data Analysis 269\u003c\/p\u003e \u003cp\u003e14.11 Conclusion 271\u003c\/p\u003e \u003cp\u003eReferences 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Exploring the Impact of AI on Management and Healthcare for Streamlining Operations and Decision-Making 275\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePranshu Mathur and Ajay Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 275\u003c\/p\u003e \u003cp\u003e15.2 Conceptual Framework 276\u003c\/p\u003e \u003cp\u003e15.3 Research Methodology 277\u003c\/p\u003e \u003cp\u003e15.4 AI Applications in Management 281\u003c\/p\u003e \u003cp\u003e15.5 Conclusion 286\u003c\/p\u003e \u003cp\u003e15.6 Future Research Direction 286\u003c\/p\u003e \u003cp\u003eReferences 286\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Empowering Defense: Harnessing AI for Next-Generation Warfare 289\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eNikki Rani, Komal Jindal, Rita Chikkara and Nidhi Malik\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 289\u003c\/p\u003e \u003cp\u003e16.2 AI Complies with Acquisition Procedures and Defense Behaviors 290\u003c\/p\u003e \u003cp\u003e16.3 Intelligent DDoS Mitigation System 295\u003c\/p\u003e \u003cp\u003e16.4 Advancing Defense: Nanotechnology and Natural Pathogen Defense in Fish 298\u003c\/p\u003e \u003cp\u003e16.5 Emerging Technologies and Defense: Exploring the Intersection of AI, Robotics, Swarm Drones, and India’s Defense Preparedness 300\u003c\/p\u003e \u003cp\u003e16.6 AI Projects in Defense: Impressive Achievements by the Indian Government 304\u003c\/p\u003e \u003cp\u003e16.7 Conclusion and Future Scope 307\u003c\/p\u003e \u003cp\u003eReferences 308\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Industry Augmented Reality Along with Artificial Intelligence: Developments, Resources, and Possible Concerns 311\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSarabjeet Singh Sethi and Priyanka Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 311\u003c\/p\u003e \u003cp\u003e17.2 The Frameworks and Platforms for Augmented Reality 313\u003c\/p\u003e \u003cp\u003e17.3 Artificial Intelligence with Augmented Reality in Enterprise 320\u003c\/p\u003e \u003cp\u003e17.4 Challenges 324\u003c\/p\u003e \u003cp\u003e17.5 Conclusion 325\u003c\/p\u003e \u003cp\u003eReferences 326\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Transformative Effects of Smarter Chatbots: Unravelling the Vision, Challenges, and Capabilities of ChatGPT-Conversational AI 333\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eC. Kishor Kumar Reddy, Patlolla Sathvika Reddy, Ashritha Pilly and Srinath Doss\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18.1 Introduction 333\u003c\/p\u003e \u003cp\u003e18.2 ChatGPT Summary Compilation 335\u003c\/p\u003e \u003cp\u003e18.3 Architecture of ChatGPT 340\u003c\/p\u003e \u003cp\u003e18.4 Training ChatGPT 341\u003c\/p\u003e \u003cp\u003e18.5 Applications of ChatGPT 345\u003c\/p\u003e \u003cp\u003e18.6 Conclusion 348\u003c\/p\u003e \u003cp\u003eReferences 348\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 Application of Artificial Intelligence in Business Management for Prudent Decision Making 351\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSyed Tabassum Sultana and T. Venkat Narayana Rao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19.1 Introduction 351\u003c\/p\u003e \u003cp\u003e19.2 Review of Literature 352\u003c\/p\u003e \u003cp\u003e19.3 Merits and Cons in Business Decisions with AI Involvement 354\u003c\/p\u003e \u003cp\u003e19.4 Applications of AI Tools in Business Models 355\u003c\/p\u003e \u003cp\u003e19.5 Artificial Intelligence-Based Data-Driven Insights 356\u003c\/p\u003e \u003cp\u003e19.6 How AI Can Transform the Industry 359\u003c\/p\u003e \u003cp\u003e19.7 Process Optimization Empowered by AI 360\u003c\/p\u003e \u003cp\u003e19.8 Risk Mitigation Using AI 363\u003c\/p\u003e \u003cp\u003e19.9 Applications of AI in Business Processes 365\u003c\/p\u003e \u003cp\u003e19.10 Advantages of AI 366\u003c\/p\u003e \u003cp\u003e19.11 Conclusion 367\u003c\/p\u003e \u003cp\u003eReferences 368\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 Technology-Driven Business Ethics: A Philosophical Discourse 371\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSooraj Kumar Maurya, Amarbahadur Yadav and Rajiv Nayan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20.1 Introduction 371\u003c\/p\u003e \u003cp\u003e20.2 Research Methodology 372\u003c\/p\u003e \u003cp\u003e20.3 Business Ethics and Technology 372\u003c\/p\u003e \u003cp\u003e20.4 Evaluating the Applicability of Ethical Theories in Tech‐Infused Business Landscapes 373\u003c\/p\u003e \u003cp\u003e20.5 Hurdles Encountered in Maintaining Ethical Standards Within Technology-Driven Business Environments 378\u003c\/p\u003e \u003cp\u003e20.6 Conclusion 386\u003c\/p\u003e \u003cp\u003eReferences 387\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Harnessing the Power of Artificial Intelligence for Sustainable Development 391\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAyan Harsh Sinha, Alka Maurya and J. Mark Munoz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21.1 Introduction 391\u003c\/p\u003e \u003cp\u003e21.2 Conclusion 395\u003c\/p\u003e \u003cp\u003eReferences 395\u003c\/p\u003e \u003cp\u003e\u003cb\u003e22 University Students’ Perception of Artificial Intelligence (AI) for Entrepreneurship Development in Selected Asian Countries of China, India, Indonesia, and Malaysia 397\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDoris Padmini Selvaratnam, Jaheer Mukhtar K.P., Evi Gravitiani and Wen Meiting\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22.1 Introduction 397\u003c\/p\u003e \u003cp\u003e22.2 Student Entrepreneurship 399\u003c\/p\u003e \u003cp\u003e22.3 Sustainability Livelihood 399\u003c\/p\u003e \u003cp\u003e22.4 Theoretical and Conceptual Framework 400\u003c\/p\u003e \u003cp\u003e22.5 Methodology 402\u003c\/p\u003e \u003cp\u003e22.6 Results and Discussion (ALL) 402\u003c\/p\u003e \u003cp\u003e22.7 Future of Entrepreneurship With The Advancement of Artificial Intelligence (AI) 418\u003c\/p\u003e \u003cp\u003e22.8 Policy Implication 418\u003c\/p\u003e \u003cp\u003e22.9 Conclusion 419\u003c\/p\u003e \u003cp\u003eReferences 419\u003c\/p\u003e \u003cp\u003e\u003cb\u003e23 Clubhouse Unleashed: Harnessing the Power of Voice for Robust Social Networking and Business Growth 421\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePooja Darda, Shailesh Pandey, Om Jee Gupta, Manpreet Kaur and Sanjaya Singh Gaur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e23.1 Introduction 422\u003c\/p\u003e \u003cp\u003e23.2 The Rise of Clubhouse 422\u003c\/p\u003e \u003cp\u003e23.3 The Clubhouse is the Next Major Thing 423\u003c\/p\u003e \u003cp\u003e23.4 Clubhouse’s Unique Appeal 425\u003c\/p\u003e \u003cp\u003e23.5 Brands Leveraging Clubhouse 428\u003c\/p\u003e \u003cp\u003e23.6 Psychological Aspects of Clubhouse Success 431\u003c\/p\u003e \u003cp\u003e23.7 The Acceptance and Arrival of Clubhouse in India 432\u003c\/p\u003e \u003cp\u003e23.8 Social Audio Application Challenge 432\u003c\/p\u003e \u003cp\u003e23.9 Clubhouse Expansion 433\u003c\/p\u003e \u003cp\u003e23.10 Conclusions and Future Scope 433\u003c\/p\u003e \u003cp\u003eReferences 436\u003c\/p\u003e \u003cp\u003e\u003cb\u003e24 Artificial Intelligence (AI) as Strategy to Gain Competitive Advantage for Australian Higher Education Institutions (HEI) Under the New Post COVID-19 Scenario 439\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRubaiyet Hasan Khan and Rohini Balapumi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24.1 Introduction 440\u003c\/p\u003e \u003cp\u003eTypes of Higher Educational Institutions in Australia 440\u003c\/p\u003e \u003cp\u003eBusiness Processes in Australian HEIs 441\u003c\/p\u003e \u003cp\u003eCOVID-19 Impact on Business Processes for Australian HEIs 442\u003c\/p\u003e \u003cp\u003eKey Challenges of the Current Day 444\u003c\/p\u003e \u003cp\u003ePossible Solutions 445\u003c\/p\u003e \u003cp\u003eReferences 447\u003c\/p\u003e \u003cp\u003e\u003cb\u003e25 AI for a Better Future—Perspectives from Young Employees in Malaysia and China 451\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGeetha Subramaniam, Wang Zhe, Zhu Dan and Narayanaswami Subramaniam\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25.1 Introduction 451\u003c\/p\u003e \u003cp\u003e25.2 Integration of AI in Job Roles and Professional Development 456\u003c\/p\u003e \u003cp\u003e25.3 Ethical and Social Implications of AI 457\u003c\/p\u003e \u003cp\u003e25.4 Future of AI in the Work Ecosystem 460\u003c\/p\u003e \u003cp\u003e25.5 Ability to Adapt to Use AI in Training and Job Roles 462\u003c\/p\u003e \u003cp\u003e25.6 Conclusion—AI and Workforce of the Future 464\u003c\/p\u003e \u003cp\u003eReferences 464\u003c\/p\u003e \u003cp\u003e\u003cb\u003e26 Personalization and Customer Experience in the Era of Data-Driven Marketing 467\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAmbarish G. Mohapatra, Anita Mohanty, Subrat Kumar Mohanty, Nitaigour Premchand Mahalik and Sasmita Nayak\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26.1 Introduction to Data-Driven Marketing and Personalization 467\u003c\/p\u003e \u003cp\u003e26.2 Customer Segmentation and Targeting Strategies 472\u003c\/p\u003e \u003cp\u003e26.3 Content Personalization and Dynamic Messaging 478\u003c\/p\u003e \u003cp\u003e26.4 Optimizing Customer Journeys with Data Insights 483\u003c\/p\u003e \u003cp\u003e26.5 The Role of Artificial Intelligence in Personalization 487\u003c\/p\u003e \u003cp\u003e26.6 Personalization and Privacy: Balancing Data Ethics 492\u003c\/p\u003e \u003cp\u003e26.7 Personalization in Omnichannel Marketing 497\u003c\/p\u003e \u003cp\u003e26.8 Personalization in E-Commerce and Retail 501\u003c\/p\u003e \u003cp\u003e26.9 Conclusion 506\u003c\/p\u003e \u003cp\u003eReferences 509\u003c\/p\u003e \u003cp\u003eIndex 513\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52433222271256,"sku":"9781394233977","price":168.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394233977.jpg?v=1784852103","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/artificial-intelligence-enabled-businesses-how-to-develop-strategies-for-innovation-hardback-9781394233977","provider":"Freshly Printed Books","version":"1.0","type":"link"}