Bibliometric Analyses in Data-Driven Decision-Making (eBook, PDF)

Redaktion: Chatterjee, Prasenjit; Demir, Gulay; Kadry, Seifedine; Saha, Abhijit

• Format: PDF

Produktbeschreibung

The book provides essential insights and practical tools needed to effectively navigate the evolving landscape of scholarly research, helping enhance the understanding of publication trends, citation impacts, and collaboration networks across multiple fields.

Bibliometric Analyses in Data-Driven Decision-Making offers a comprehensive guide to researchers, academics, and practitioners interested in utilizing bibliometric analysis to understand and navigate the dynamic landscape of the increasingly vital field of data-driven decision-making and its applications across many areas. It provides insights into growth, impact, and trends within the field, using bibliometric tools and methodologies. This volume adopts a pragmatic approach, balancing theoretical concepts with practical applications of data-driven decision-making models through the perspectives of bibliometric analyses using real-world examples, case studies, and step-by-step guides.

The reader will find the book:

• Gives practical guidance on conducting bibliometric analyses across a range of applications for data-driven decision-making;
• Illustrates the application of bibliometric tools in the field with real-world case studies;
• Provides in-depth coverage of various bibliometric indicators and metrics;
• Explores emerging trends and challenges in bibliometric analysis;
• Provides a comprehensive overview of software and tools available for bibliometric research.

Audience

Librarians and Information professionals involved in research management, knowledge discovery, and the evaluation of scholarly communication, as well as professionals in industries reliant on cutting-edge research and development, technology assessment, and innovation. Also, a range of researchers and scholars seeking how to apply bibliometric analysis to assess the impact of their work, and advanced insights into bibliometric metrics, collaboration networks, and research trends.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in D ausgeliefert werden.

Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 711
• Erscheinungstermin: 11. August 2025
• Englisch
• ISBN-13: 9781394302567
• Artikelnr.: 75186834

Autorenporträt

Prasenjit Chatterjee, Ph.D., is a postdoctoral fellow at the Department of Applied Data Science, Noroff University College, Kristiansand, Norway, and also a professor of Mechanical Engineering and Dean (Research and Consultancy) at MCKR Institute of Engineering, West Bengal, India. He has authored and edited over 43 books on intelligent decision-making, fuzzy computing, supply chain management, etc. Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods called Measurement of Alternatives and Ranking according to Compromise Solutions (MARCOS) and Ranking Alternatives through Functional Mapping of Criterion Sub-Intervals into a Single Interval (RAFSI). Abhijit Saha, Ph.D., is an assistant professor (research) in the Department of Computer Technologies at SRM Institute of Science and Technology, Tamil Nadu, India. His research interests encompass fuzzy set theory, soft set theory, aggregation operators, optimization, and decision-making. He has published nearly 50 research articles in esteemed international journals. Seifedine Kadry, Ph.D., is a professor at the Department of Computer Science and Mathematics, Lebanese American University, Beirut, Lebanon, and the Department of Applied Data Science, Noroff University, College, Kristiansand, Norway. His research focuses on data science, education technology, system prognostics, smart learning, etc. He has published over 100 peer-reviewed papers and authored several books. He has also served as an editor-in-chief of the research journals of mathematics and statistics and the ARPN Journal of Systems and Software. Gulay Demir, Ph.D., works at Sivas Cumhuriyet University Vocational School of Health Services, Sivas, Turkey. Her research interests focus on fuzzy logic, multi-criteria analysis, mathematical statistics, statistical analysis, etc. She has more than 75 works, especially her works that are taught as graduate textbooks in different universities.

Inhaltsangabe

Preface xxiii Acknowledgements xxix Part 1: Introduction to Bibliometric Analysis and Methodologies 1 1 Introduction to Bibliometric Analysis and Methodologies 3 Gülay Demir, Prasenjit Chatterjee, Abhijit Saha and Seifedine Kadry 1.1 Introduction 4 1.1.1 Stages of Bibliometric Analysis 5 1.1.1.1 Preparation Phase Before Bibliometric Analysis 6 1.1.1.2 Application Phase of Bibliometric Analysis 14 1.2 Historical Development of Bibliometrics 21 1.3 Key Bibliometric Indicators 24 1.4 Bibliometric Data Sources 26 1.5 Methodologies in Bibliometric Analysis 29 1.6 Applications of Bibliometric Analysis 31 1.7 Challenges and Limitations 33 1.8 Future Directions in Bibliometrics 35 1.9 Conclusions 38 References 39 Part 2: Bibliometric Analysis in Logistics and Supply Chain 45 2 Multi-Criteria Decision-Making in Logistics and Supply Chain Management: A Bibliometric Analysis 47 Murat Kemal Kele
and Askin Ozdagoglu 2.1 Introduction 48 2.2 Literature Review 51 2.3 Materials and Methods 52 2.4 Bibliometric Analysis Results of the Logistics/Supply Chain and MCDM 53 2.4.1 Performance Analysis 53 2.4.1.1 The General Overview of the Database 53 2.4.1.2 The Annual Publication and Citation Status 54 2.4.1.3 The Publication and Citation Status of Journals 55 2.4.1.4 The Most Relevant Affiliations 55 2.4.1.5 Authors' Status 57 2.4.1.6 The Most Productive Countries 57 2.4.1.7 Most Cited Document 59 2.4.2 Scientific Mapping Analysis 60 2.4.2.1 Thematic Map 60 2.4.2.2 Trend Topics 61 2.4.2.3 Keyword Analysis 62 2.5 Discussion 64 2.6 Conclusions 66 References 67 3 Digital Supply Chain: A Bibliometric Analysis 71 Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee, Gulay Demir and Ernesto DR Santibanez Gonzalez 3.1 Introduction 72 3.2 Bibliometric Analysis 74 3.2.1 Research Gaps and Research Questions 75 3.3 Materials and Methods 76 3.4 Bibliometric Analysis of DSC 79 3.4.1 Performance Analysis 79 3.4.1.1 Overall Review of the Database 79 3.4.1.2 A Rise in Annual Publications 80 3.4.1.3 Average Annual Citations 81 3.4.1.4 Sankey Diagram 81 3.4.1.5 Most Cited and Most Published Journals 83 3.4.1.6 The Most Important Affiliations 83 3.4.1.7 Frequently Referenced Authors 84 3.4.1.8 The Most Productive Countries 84 3.4.1.9 Most Cited Document 86 3.4.2 Analysis of Science Mapping 88 3.4.2.1 Thematic Map 88 3.4.2.2 Trend Topics 89 3.4.2.3 Word Cloud 90 3.4.2.4 Collaborative Network of Co-Words in Publications on DSC 91 3.4.2.5 Conceptual Structure Map 92 3.5 Discussions 92 3.6 Conclusions 94 References 95 4 Agile Supply Chain Dynamics: A Bibliometric Analysis with a Technology-Barrier-Performance Framework 99 Vikrant Sharma and Prasenjit Chatterjee 4.1 Introduction 100 4.2 Literature Review 101 4.3 Methodology 103 4.4 Results 104 4.4.1 Descriptive Analysis 104 4.4.2 Sources 106 4.4.3 Authors 108 4.4.4 Main Research Country 110 4.4.5 Relationship 112 4.5 Mapping Results with VOSviewer Software 112 4.6 Conceptual Structure and Evolution of the Field 115 4.7 Discussion 122 4.7.1 Principal Findings 122 4.7.2 Technology, Enablers, Barriers, and Performance Indicators Framework 124 4.7.3 Future Direction for Agile Supply Chain 127 4.7.4 Limitation of Study 128 4.8 Conclusions 128 References 129 Part 3: Multi-Criteria Decision
Making (MCDM) and Bibliometric Analysis 137 5 Multi-Criteria Decision-Making Methods for Robot Selection: A Bibliometric Analysis of Research Trends 139 Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee 5.1 Introduction 140 5.2 Bibliometric Analysis 142 5.3 Materials and Methods 143 5.4 Results 146 5.4.1 Performance Analysis 146 5.4.1.1 Database Overview 147 5.4.1.2 Annual Increase in Publications 147 5.4.1.3 Status of Average Annual Citations 148 5.4.1.4 Sankey Diagram 149 5.4.1.5 Most Cited Journals 149 5.4.1.6 The Most Relevant Affiliations 151 5.4.1.7 The Most Cited Authors 151 5.4.1.8 The Most Productive Nations 152 5.4.1.9 Most Cited Document 155 5.4.2 Science Mapping Analysis 155 5.4.2.1 Co-Occurrence Keywords Analysis 155 5.4.2.2 Thematic Analysis 158 5.4.2.3 Trend Topics 159 5.4.2.4 Scientific Landscape 160 5.4.2.5 Timeline Analysis 161 5.4.2.6 Citation Burst Analysis 163 5.5 Discussion 163 5.6 Conclusions, Managerial Implication, and Future Research Directions 165 References 166 6 Bibliometrics Analysis on Economics and MCDM 169 Yüksel Ayd
n 6.1 Introduction 170 6.2 Literature Review 171 6.3 Research Methodology 174 6.4 Bibliometric Analysis Results on Economics and MCDM 174 6.4.1 Performance Analysis 174 6.4.1.1 Main Information 174 6.4.1.2 Annual Status of Publications 175 6.4.1.3 Average Annual Citations 176 6.4.1.4 Magazines with the Most Publications 176 6.4.1.5 Most Important Universities 177 6.4.1.6 Most Important Authors 178 6.4.1.7 Most Productive Countries 179 6.4.1.8 Most Cited Article 180 6.4.2 Scientific Mapping Analysis 181 6.4.2.1 Thematic Map 181 6.4.2.2 Trend Topics 182 6.4.2.3 Keyword Analysis 183 6.5 Discussion 185 6.6 Conclusion 186 References 187 7 Material Selection by Multi-Criteria Decision-Making: A Bibliometric Analysis 191 Rajeev Ranjan, Sonu Rajak and Prasenjit Chatterjee 7.1 Introduction 192 7.2 A Brief Background of Multi-Criteria Decision-Making (mcdm) 192 7.2.1 Bibliometric Analysis 196 7.2.2 Research Gaps and Research Questions 197 7.3 Materials and Methods 198 7.4 Material Selection by MCDM Method's Bibliometric Analysis Findings 199 7.4.1 Performance Analysis 199 7.4.1.1 Overall Review of the Database 200 7.4.1.2 An Increase in Publications Per Year 201 7.4.1.3 Average Annual Citations 201 7.4.1.4 Sankey Diagram 203 7.4.1.5 Most Cited and Most Published Journals 203 7.4.1.6 The Most Important Affiliations 204 7.4.1.7 Frequently Referenced Authors 205 7.4.1.8 The Most Productive Countries 205 7.4.1.9 Most Cited Document 208 7.4.2 Analysis of Science Mapping 208 7.4.2.1 Thematic Map 209 7.4.2.2 Trend Topics 210 7.4.2.3 Keyword Co-Occurrence Analysis 212 7.4.2.4 Scientific Landscape 213 7.4.2.5 Timeline Analysis 214 7.4.2.6 Citation Burst Analysis 216 7.5 Discussions 216 7.6 Conclusions, Managerial Implication, and Future Research Directions 218 References 220 8 Evaluation Based on Distance from Average Solution (EDAS) Method: A Bibliometric Analysis 223 Rajeev Ranjan, Sonu Rajak, Prasenjit Chatterjee and Seifedine Kadry 8.1 Introduction 224 8.2 EDAS Method 226 8.2.1 Fundamentals of EDAS Method 226 8.2.2 Bibliometric Analysis 229 8.2.3 Research Gaps and Research Questions 230 8.3 Materials and Methods 232 8.4 Results of the EDAS Method Bibliometric Analysis 234 8.4.1 Performance Analysis 234 8.4.1.1 Overall Review of the Database 234 8.4.1.2 Annual Publication Increase 235 8.4.1.3 Average Annual Citations 235 8.4.1.4 Sankey Diagram 237 8.4.1.5 Most Cited and Most Published Journals 237 8.4.1.6 The Affiliations that Matter Most 238 8.4.1.7 Frequently Cited Authors 238 8.4.1.8 The Most Productive Countries 239 8.4.1.9 Most Cited Document 242 8.4.2 Analysis of Science Mapping 243 8.4.2.1 Thematic Map 243 8.4.2.2 Trend Topics 243 8.4.2.3 Keyword Co-Occurrence Analysis 245 8.4.2.4 Scientific Landscape 247 8.4.2.5 Timeline Analysis 248 8.4.2.6 Citation Burst Analysis 249 8.5 Discussions 250 8.6 Conclusions 251 References 252 9 Evolution of m-Polar Fuzzy Set as a Decision-Making Tool: A Bibliometric Review 257 Madan Jagtap and Prasad Karande 9.1 Introduction 258 9.1.1 Paper Organization 259 9.1.2 Research Methodology and Contributions of the Work 259 9.2 Literature Review 261 9.2.1 Different Types of Fuzzy Sets 261 9.3 Fuzzy Sets in Decision-Making 262 9.4 m-Polar Fuzzy Sets in Decision-Making 263 9.5 Comparison of m-Polar Fuzzy Set and Ordinary Fuzzy Sets in Decision-Making 265 9.6 Analysis of m-Polar FSs 265 9.6.1 Analysis Based on m-Polar FS Publications 265 9.6.2 Analysis Based on Journals 267 9.6.3 Analysis Based on Authors' Contributions 282 9.6.4 Analysis Based on Application of m-Polar Fuzzy Logic 284 9.6.5 Bibliometric Analysis for the m-Polar Fuzzy Set 286 9.6.5.1 Co-Author and Author Mapping for m-Polar Fuzzy Set 286 9.6.5.2 Bibliographic Coupling of Universities for the m-Polar Fuzzy Set 287 9.6.5.3 Bibliographic Coupling Countries for the m-Polar Fuzzy Set 287 9.6.5.4 Citation Documents Analysis for m-Polar Fuzzy Sets 288 9.6.5.5 Co-Occurrences of Author's Keywords Analysis for m-Polar Fuzzy Sets 289 9.6.5.6 Co-Authorship Organizations Analysis for the m-Polar Fuzzy Sets 290 9.7 Conclusion 290 References 291 10 Bibliometrics Analysis on Renewable Energy and Multi-Criteria Decision-Making 295 Rahim Arslan 10.1 Introduction 296 10.2 Literature Review 298 10.3 Methodology 299 10.3.1 Data Collection 299 10.3.1.1 Selection of Databases 299 10.3.1.2 Keyword Search 299 10.3.1.3 Time Interval 300 10.3.1.4 Visualization of Data 300 10.3.2 Data Acquisition 300 10.4 Bibliometric Indicators 300 10.4.1 Number of Publications and Citations 301 10.4.2 Evaluation According to the Amount of Citations 303 10.4.3 Author and Organization Analysis 303 10.4.4 Country Analysis 306 10.4.5 Journal Analysis 308 10.4.6 Keyword Analysis 309 10.4.7 Trend Analysis 316 10.5 Discussion 317 10.6 Research Gaps and Future Directions 318 References 319 Part 4: Bibliometric Analysis in Healthcare and Medicine 323 11 Gamification in Healthcare: Bibliometric Analysis on Gamification in Nursing Care 325 Askeri Çankaya 11.1 Introduction 326 11.1.1 Gamification in Healthcare 326 11.1.2 Gamification in Nursing Care 327 11.2 Material and Methods 329 11.3 Results 330 11.4 Discussions 334 11.5 Conclusions 336 References 336 12 Virtual Reality in Healthcare: A Bibliometric Analysis of Studies on Wound Care 339 Hatice Özsoy 12.1 Introduction 340 12.1.1 Virtual Reality in Nursing 340 12.1.2 Virtual Reality in Wound Care 341 12.1.3 Literature Review 341 12.2 Materials and Methods 342 12.2.1 Research Problem and Aim 342 12.2.2 Data Sources and Research Methods 343 12.3 Results 343 12.3.1 Main Information 343 12.3.2 Annual Scientific Production 344 12.3.3 The Most Productive Countries 344 12.3.4 Author Keywords 345 12.3.5 Most Productive and Cited Countries 347 12.3.6 Sankey Diagram 348 12.3.7 Country Collaboration Network 348 12.4 Discussion 349 12.5 Conclusion 350 References 350 13 Escape Room Method in Healthcare: A Bibliometric Analysis 355 Esra Özkan 13.1 Introduction 356 13.1.1 Escape Rooms in Healthcare 356 13.1.2 Escape Rooms in Clinical Nursing 357 13.1.3 The Theory of Escape Room 357 13.2 Material and Method 358 13.2.1 Data Extraction and Analysis Process 359 13.3 Results 360 13.4 Discussions 363 13.5 Conclusions 364 References 364 14 Bibliometric Analysis of Wavelet Transformation Applications in Biosignal and Medical Image Processing 367 S. N. Kumar, Linu Tess Antony and Jibil K. John 14.1 Introduction 368 14.2 Review of the Literature Using Bibliometric Analysis 370 14.3 Results and Discussion 372 14.4 Conclusion 386 References 387 Part 5: Artificial Intelligence and Machine Learning 389 15 Artificial Intelligence in Business Management: Current Developments and Future Perspectives Through Bibliometric Analysis 391 Zekiye Tamer 15.1 Introduction 392 15.2 Public Relations in Business Management and AI 393 15.3 Method 395 15.3.1 Bibliometric Analysis 395 15.3.2 Research Gaps and Research Questions 396 15.3.3 Findings 396 15.4 Conclusions 409 References 411 16 Decision Trees in Transportation Research: Bibliometric Analysis and Future Directions 413 Gülay Demir, Prasenjit Chatterjee and Abhijit Saha 16.1 Introduction 414 16.2 Literature Review 415 16.3 Fundamentals of Decision Trees 416 16.3.1 Types of Decision Trees 417 16.3.2 Applications of Decision Trees 418 16.3.3 Basic Components for Decision Trees 419 16.3.4 Working Principle of Decision Trees 419 16.3.5 Applications of Decision Trees in Transportation 420 16.3.6 Decision Tree Model Drawing 420 16.4 Research Methodology 421 16.4.1 Data Collection 422 16.4.2 Bibliometric Analysis Tools 422 16.4.3 Data Analysis 422 16.4.4 Bibliometric Indicators 423 16.4.4.1 Number of Publications and Citations 423 16.4.5 Number of Citations 425 16.4.6 Author and Organization Analysis 426 16.4.7 Country Analysis 428 16.4.8 Journal Analysis 429 16.4.9 Keyword Analysis 431 16.4.10 Trend Analysis 437 16.5 Discussion 439 16.6 Conclusions and Future Research Directions 441 References 441 17 Machine Learning in Climate Change from 2015 to 2024: A Bibliometric Analysis 447 Minh Thu Nguyen 17.1 Introduction 447 17.2 Research Methodology 449 17.3 Trend of Scientific Articles 450 17.3.1 Research Productivity in 2015-2024 Year 450 17.3.2 Publication of Scientific Journals 451 17.3.3 Output of Author 453 17.3.4 Distribution of Country 455 17.4 Conclusions 459 References 460 18 Neuro-Fuzzy Systems and Inference in the Evolution of Intelligent Systems: A Bibliometric Review 463 Sefer Dar
c
18.1 Introduction 464 18.2 Literature 465 18.3 Materials and Methods 466 18.4 Bibliometric Analysis Results of Neuro-Fuzzy Systems and Inference 467 18.4.1 Performance Analysis 467 18.4.1.1 Database Overview 467 18.4.1.2 Annual Publication and Citation Status 468 18.4.1.3 Publication and Citation Status of Journals 469 18.4.1.4 The Most Relevant Affiliations 471 18.4.1.5 Status of Authors 471 18.4.1.6 The Most Productive Countries 472 18.4.1.7 Most Cited Document 474 18.4.2 Scientific Mapping Analysis 475 18.4.2.1 Thematic Map 475 18.4.2.2 Trend Topics 476 18.4.2.3 Keyword Analysis 477 18.5 Discussion 479 18.6 Conclusions 482 References 482 19 Genetic Algorithms in Bioinformatics: A Bibliometric Review 487 Ahmet Turan Demir 19.1 Introduction 488 19.2 Method 490 19.2.1 Data Collection 490 19.2.2 Data Analysis 490 19.2.3 Software Tools 491 19.3 Results 491 19.3.1 General Information of Publications 491 19.3.2 Distribution of Publication and Citation Counts by Year 492 19.3.3 Most Cited Articles, Countries, and Journals 494 19.3.4 Most Productive Authors, Institutions, Journals, and Countries 496 19.3.5 Collaborative Networks and Collaboration Analyses 499 19.3.6 Thematic Analysis of Popular Research Topics 501 19.3.7 Trend Topics 503 19.4 Discussions 506 19.5 Future Directions and Implications 507 19.6 Conclusions 508 References 509 20 Swarm Intelligence in Two Decades: Bibliometric Analysis and Research Visualizations 513 Ay
e Meriç Yaz
c
20.1 Introduction 513 20.2 Bibliometric Analysis 515 20.3 Methodology 515 20.4 Data Analysis and Findings 515 20.5 Theoretical and Practical Limitations 522 20.6 Future Recommendations 523 20.7 Conclusions 523 References 524 21 Bayesian Methods in Marketing: A Bibliometric Examination of Trends and Patterns 527 Bibin Xavier 21.1 Introduction 527 21.2 Methodology 529 21.3 Bibliometric Analysis 530 21.3.1 Annual Scientific Production 530 21.3.2 Average Citations Per Year 533 21.3.3 Most Relevant Sources 533 21.3.4 Most Local Cited Sources 533 21.3.5 Core Sources by Bradford's Law 535 21.3.6 Sources' Local Impact 539 21.3.7 Most Relevant Authors 541 21.3.8 Most Relevant Affiliations 541 21.3.9 Countries' Scientific Production 542 21.3.10 Most Global Cited Documents 543 21.3.11 Bibliographic Coupling 545 21.4 Discussion 545 21.5 Conclusions 548 References 548 22 Bibliometric Analysis of Search Engine Optimization-Based Decision-Making Strategies 551 Uzma Mumtaz, Anand Bharathi S., S. Rajamohan and Naseeb Ahmad 22.1 Introduction 552 22.1.1 Fundamentals of Search Engine Optimization (seo) 552 22.1.2 Introduction to Bibliometric Analysis in SEO Decision-Making 552 22.1.3 Objectives and Scope of the Chapter 553 22.1.4 Selection Criteria for Scopus Search 554 22.2 Insights through Research Publication Trends 554 22.2.1 Analysis of Annual Publication Trends in Informed SEO Decision-Making Strategies 554 22.2.2 Key Milestones and Landmark Publications 556 22.2.3 Trends in Publication Activity Over Time 556 22.2.4 Impact of External Factors on Publication Trends 557 22.3 Prominent Authors, Organizations, and Countries 557 22.3.1 Top Authors and Their Citation Impact 557 22.3.2 Leading Academic Institutions and Their Contributions 557 22.3.3 Global Distribution of Research Output and Impact 558 22.4 Most Influential Journals and Articles 559 22.4.1 Analysis of Most Influential Journals 559 22.4.2 Examination of Highly Cited Articles and their Impact 560 22.4.3 Key Insights from Influential Articles 562 22.5 Analysis of Co-Citations and Author Co-Citation Networks 562 22.5.1 Co-Citation Analysis: Identifying Frequently Cited References 562 22.5.2 Author Co-Citation Networks: Mapping Collaborative Partnerships 564 22.5.3 Insights from Co-Citation Analysis 565 22.6 Keyword Co-Occurrence Analysis 566 22.6.1 Top Keywords in Informed SEO Decision-Making Strategies 566 22.6.2 Analysis of Keyword Relationships and Frequency 566 22.6.3 Insights for Research and Practice 568 22.7 Thematic Analysis of Bibliometric Coupling 569 22.7.1 Identification of Theme Clusters in Informed SEO-Based Decision-Making Strategies 569 22.7.2 Overview of Key Research Themes and Findings 573 22.7.3 Implications for Future Research Directions 573 22.8 Challenges and Opportunities 574 22.8.1 Limitations and Pitfalls of Bibliometric Analysis in SEO 574 22.8.2 Opportunities for Further Research and Innovation 574 22.8.3 Addressing Challenges in Bibliometric Analysis for Informed SEO Decision-Making 575 22.9 Conclusions 575 22.9.1 Recap of Key Findings and Insights 575 22.9.2 Importance of Bibliometric Analysis in SEO Strategy 576 22.9.3 Future Outlook and Recommendations for Practitioners Insights through Research 576 Acknowledgment 576 References 577 Part 6: Technology, Sustainability, and Innovation 581 23 Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability: Toward a Smart Workforce 583 Shivakami Rajan and L. R. Niranjan 23.1 Introduction 584 23.1.1 Research Gap 584 23.1.2 Research Questions 584 23.1.3 Literature Review 585 23.1.4 Conceptual Framework 587 23.2 Methodology 588 23.2.1 Inclusion and Exclusion Criteria 589 23.2.2 Data Analysis 589 23.3 Results-Bibliometric Findings 589 23.3.1 Descriptive Details of Publications 589 23.3.2 Keyword Analyses 590 23.3.3 Authors 593 23.3.4 Findings 596 23.4 Discussions 600 23.5 Implications 603 23.5.1 Industry 603 23.5.2 Managerial 603 23.6 Future Directions 604 23.7 Conclusions 605 References 605 24 Delineation of Blockchain and Customer Experience: A Review and Thematic Analysis 615 Akshay Kumar Mishra and Sandeep Kumar Mohanty 24.1 Introduction 615 24.2 Conceptual Background: Blockchain and Customer Experience 617 24.3 Methodology 618 24.4 Bibliometric and Network Analysis 619 24.4.1 Performance Analysis 619 24.4.2 Influential Documents Analysis 621 24.4.3 Keywords and Network Analysis 623 24.4.4 Thematic Analysis 625 24.4.4.1 Blockchain, Artificial Intelligence, and Customer Experience 626 24.4.4.2 Blockchain and Competition 627 24.4.4.3 Blockchain and Motivation 628 24.4.4.4 Blockchain and Cost Reduction 628 24.5 Implications and Future Research Directions 629 24.6 Conclusion 632 References 633 25 A Post-Millennial Bibliometric Analysis of Algorithmic Fairness: Trends, Research Barriers, and Future Directions 639 Murat Atan, Mustafa Mehmet Bayar and Irmak Uzun Bayar 25.1 Introduction 640 25.1.1 Explainable AI and the Fairness Hype from a Data-Driven Decision-Making Perspective 640 25.1.2 Why Focus on the Post-Millennial Era? 641 25.2 Relevant Bibliometric Analyses 641 25.3 Materials and Methods 643 25.4 Bibliometric and Network Analysis 645 25.4.1 Sources 645 25.4.2 Annual Monitoring of Growth 648 25.4.3 Language Choices 650 25.4.4 Subject Areas 650 25.4.5 Keyword Analysis 653 25.4.6 Geographical Distribution of Publications and International Collaborations 656 25.4.7 Authorship 657 25.4.8 Institutional Performance 664 25.4.9 Research Barriers and Funding Impact 666 25.5 Conclusion 666 References 668 Index 673