LEADER 10930nam 22005773 450 001 9910763594703321 005 20240607163504.0 010 $a9783031386961 010 $a3031386965 035 $a(PPN)273594265 035 $a(MiAaPQ)EBC30881069 035 $a(Au-PeEL)EBL30881069 035 $a(CKB)28817639000041 035 $a(Exl-AI)30881069 035 $a(EXLCZ)9928817639000041 100 $a20231114d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Future of Knowledge Management $eReflections from the 10th Anniversary of the International Association of Knowledge Management (IAKM) 205 $a1st ed. 210 1$aCham :$cSpringer,$d2023. 210 4$d©2023. 215 $a1 online resource (317 pages) 225 1 $aKnowledge Management and Organizational Learning Series ;$vv.12 311 08$aPrint version: Bratianu, Constantin The Future of Knowledge Management Cham : Springer,c2023 9783031386954 327 $aIntro -- Introduction -- The International Association for Knowledge Management (IAKM) -- The Book Series Knowledge Management and Organizational Learning -- This Volume -- Contents -- Contributors -- Part I: Knowledge Management: A Complexity Perspective -- Approaching the Complexity of Knowledge Management -- 1 Introduction -- 2 Understanding Knowledge from a Managerial Perspective -- 3 Linearity as a Barrier to Understanding the Complexity of Knowledge Management -- 4 Using Linear Metrics for Measuring Nonlinear Fields of Knowledge and Their Catastrophic Results -- 5 Knowledge Dynamics: Changing the Paradigm from Newtonian Logic to Thermodynamics -- 6 The Challenge of Managing Knowledge Entropy -- 7 Conclusions -- References -- The Pervasive Identity of Knowledge Management: Consolidation or Dilution? -- 1 Introduction -- 2 KM: A Brief History -- 3 KM as a Scientific Discipline and Its Future -- 4 A Literature Analysis -- 5 Results -- 5.1 Quantitative Analysis -- 5.2 Meta-review -- 5.2.1 General Papers -- 5.2.2 Context-Oriented Papers -- Health Sector -- Higher Education -- Knowledge Management in SMEs -- 5.2.3 Influencing Factors -- 5.2.4 Technology-Related Factors -- 5.2.5 Specific Management Focus -- 6 Discussion and Conclusion -- References -- Key Milestones in the Evolution of Knowledge Management: What Is Next? -- 1 Introduction -- 1.1 A Brief History of KM -- 1.2 Where Does KM Stand Today? -- 2 Selected Key KM Trends -- 2.1 Artificial Intelligence (AI), Big Data, and Analytics -- 2.2 Information Overload -- 2.3 KM Education and Training -- 2.4 KM for Innovation and Creativity -- 3 What Is Next for KM? -- 3.1 More Holistic and Inclusive KM -- 3.2 More Scalable and Sustainable KM During Disruptions -- 3.3 More Research on KM -- 4 Concluding Thoughts -- References. 327 $aFuturizing Intellectual Capital Theory to Uncover Pertinent and Unexplored Horizons -- 1 Introduction -- 2 IC-Relevant Changes in Companies' Operating Environment and Work Life -- 2.1 Digitalization -- 2.2 Remote Work -- 2.3 Gig Work -- 2.4 Open Innovation and Crowdsourcing -- 2.5 Ethical Leadership -- 2.6 Sustainability -- 2.7 Green IC -- 2.8 Organizational Resilience -- 3 Consequences for IC Theory -- 3.1 IC Components -- 3.1.1 Human Capital -- 3.1.2 Structural Capital -- 3.1.3 Relational Capital -- 3.2 Performance Implications of IC -- 3.3 Moderating Variables -- 3.4 Proposed Theoretical Model -- 4 Conclusion -- References -- Knowledge Management Essentials: Reflections on the Core of the Discipline and Future Outlook -- 1 Introduction -- 2 History and Development of the Knowledge Management -- 3 Knowledge Management Essentials -- 3.1 Knowledge -- 3.2 Knowledge Management Framework -- 3.3 Knowledge Management Methods and Tools: The Core KM Portfolio -- 3.4 Knowledge Management Curriculum -- 4 Outlook for KM Research and KM Practice -- 4.1 Critical Discourse in Knowledge Management: Knowledge as Critical Resource -- 4.2 Ethics in Knowledge Management -- 4.3 Interrelationships Between KM Enablers -- 4.4 Tacit Knowledge, Human Experiences, and Artificial Intelligence? -- 4.5 Save Resources with Knowledge! -- 5 Summary -- References -- Part II: Knowledge Management: A Human Perspective -- Future Paths of Knowledge Management: How Do Spirituality, Calling, and Knowledge Management Fit Together? -- 1 Introduction -- 2 Why an Organization and Its KM Should Focus on the Future Best Self of the Employees -- 3 How an Organization and Its KM Should Focus on the Future Best Self of the Employees -- 3.1 Vision Development as a Knowledge Creating Process -- 3.1.1 Learning from an Envisioned Future -- 3.1.2 Need Orientation. 327 $a3.1.3 A Wavelike Process -- 3.2 Connecting the Future Best Self of the Employees with the Future Best Self of the Organization -- 4 Conclusion -- References -- The Human Side of Knowledge Management -- 1 Introduction -- 2 The Human Component of Knowledge Management -- 3 Attitudes -- 4 Self-efficacy -- 5 Trust -- 6 Conclusions -- References -- Unlearning as a Future Challenge for Knowledge Management -- 1 Introduction -- 2 Unlearning -- 2.1 Unlearning vs Forgetting -- 2.2 Intentional Unlearning -- 2.2.1 The Operationalization of Unlearning -- 2.3 Unlearning in the Context of Mainstream KM -- 3 Positive Implications for the Implementation of Unlearning in Knowledge Management Practices -- 4 Some Thoughts About Organizational Agility Capability (OAC), Organizational Unlearning Capability (OUC), and Technology -- 5 Concluding Remarks -- References -- Emotions and Their Relation with Knowledge Risks in Organizations -- 1 Introduction -- 2 Knowledge Risks -- 3 Emotions: How Can They Influence Our Behavior at Work? -- 4 The Potential Impact of Emotions on Knowledge Risk Behaviors -- 5 Conclusions -- References -- Knowledge Management and Innovation in the COVID-19 Context: Flowing from the Organization Toward the Network Level -- 1 Introduction -- 2 COVID-19 Pandemic and the Reconfiguration of Knowledge Management Processes -- 3 Organizational Knowledge Management Processes: Taking Stock of the Intellectual Capital Wellspring -- 4 Gliding from the Organizational Toward Network Knowledge Processes -- 5 Network Knowledge Management Processes: The Recapitalization of Knowledge Networks Toward Open Innovation -- 6 Conclusions -- References -- Part III: Knowledge Management: A Technology Perspective -- Knowledge Management, Digital Transformation and the Resilience of the Firm -- 1 Knowledge, Digital Transformation and Cybersecurity. 327 $a1.1 Cyber Risk and Cyber Risk Management -- 1.2 Digital Transformation and Cybersecurity -- 1.3 Cybersecurity as a 'Knowledge Problem' -- 2 Towards a Knowledge-Driven Approach to Digital Resilience in Organizations -- 2.1 Cybersecurity Knowledge: A Definition -- 2.2 Cybersecurity Knowledge Management -- 2.2.1 Identification and Acquisition of Cybersecurity Knowledge -- 2.2.2 Organization and Storing of Cybersecurity Knowledge -- 2.2.3 What Is a Cybersecurity Knowledge Organization System? -- 2.2.4 Sharing and Dissemination of Cybersecurity Knowledge -- 2.2.5 Creating, Reviewing and Updating Cybersecurity Knowledge -- 2.2.6 Regular Assessment of Cybersecurity Knowledge -- 3 Conclusions -- References -- Broadening the Knowledge Management Horizon: A Case of Distant Reading -- 1 Introduction -- 1.1 Current State of KM -- 1.2 Future of KM -- 1.3 This Chapter -- 2 Distant Reading Approach -- 2.1 Concept of Distant Reading -- 2.2 Tools and Techniques of Distant Reading -- 3 Case Study Description -- 3.1 Research Questions and Procedure -- 3.2 Case Selection -- 3.3 Annotation and Co-word Analysis -- 3.4 Social Network Analysis and Visualisation -- 4 Results -- 4.1 Network Efficiency -- 4.2 Key Protagonists -- 4.3 Network Brokers -- 4.4 Network Communities -- 5 Discussion -- 5.1 Main Findings -- 5.2 Implications for Research and Practice -- 5.3 Current Limitations and Future Directions -- 6 Conclusions -- References -- Visualising Knowledge for Decision-Making: A Framework for Selecting Visual Templates -- 1 Introduction -- 2 The Relevance of Visualisation Supporting Decision-Making -- 3 Knowledge Visualisation Templates -- 4 Towards a Framework for Selecting Knowledge Visualisation Templates -- 4.1 Level of Formality -- 4.2 Level of Domain Dependence -- 4.3 Content of Knowledge (Semantics). 327 $a4.4 Form of Knowledge (Syntax) and Mental Scenarios -- 5 Discussion -- 6 Conclusions -- References -- Learning from the Future: Knowledge Management Systems in the Twenty-First Century -- 1 Introduction -- 2 Evolution of KMS -- 3 Shortfalls for KMS in the Twenty-First Century -- 4 Reimagining the SEARCH Function -- 5 Reframing Cloud Computing -- 6 KM Practices, KMS in the Near Future, and Challenges -- 7 Prototypical KMS -- 8 Conclusion -- References -- Knowledge Management in the Metaverse -- 1 Introduction -- 2 Knowledge Management and the Metaverse -- 2.1 Socialization in the Metaverse -- 2.2 Externalization in the Metaverse -- 2.3 Combination -- 2.4 Internalization -- 3 Conclusion -- References. 330 $aThe book 'The Future of Knowledge Management' is a comprehensive collection of reflections celebrating the 10th anniversary of the International Association of Knowledge Management (IAKM). Edited by experts Constantin Bratianu, Meliha Handzic, and Ettore Bolisani, it explores the development and future directions of knowledge management as a scientific discipline. The work synthesizes recent studies, discusses new theories, and reviews state-of-the-art practices in the field. It aims to bridge disciplines such as computer science, cognitive sciences, economics, and management, offering insights for researchers, practitioners, and students. The book emphasizes the importance of networking and collaboration in advancing knowledge management.$7Generated by AI. 410 0$aKnowledge Management and Organizational Learning Series 606 $aKnowledge management$7Generated by AI 606 $aInterdisciplinary research$7Generated by AI 615 0$aKnowledge management. 615 0$aInterdisciplinary research. 676 $a658.4038 676 $a658.4038 700 $aBratianu$b Constantin$01439060 701 $aHandzic$b Meliha$01084234 701 $aBolisani$b Ettore$0198677 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910763594703321 996 $aThe Future of Knowledge Management$93601289 997 $aUNINA