AI-Based Knowledge Management and Business Continuity Planning: Strategies for Crisis Management and Organizational Resilience
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In the age of Artificial Intelligence (AI), enterprises face an increasingly complex and unpredictable business environment. Disruptions, whether caused by natural disasters, cyber-attacks, or global crises, can have severe consequences on an organization’s operations, financial stability, and long-term viability. At the heart of an enterprise’s ability to navigate these challenges lies its knowledge management capabilities. Effective knowledge management is crucial for Business Continuity Planning (BCP) in the AI era. Organizations must ensure the preservation, accessibility, and resilience of their critical knowledge assets to maintain operational continuity and enable rapid recovery from disruptions. However, the integration of knowledge management with BCP strategies presents unique challenges and opportunities in the context of emerging AI technologies. This academic paper explores the role of knowledge management in enhancing BCP in the age of AI. It delves into the key considerations, strategies, and best practices that organizations should adopt to safeguard their knowledge assets, leverage AI-powered capabilities, and ensure the resilience of their knowledge management systems. The study aims to provide a comprehensive framework for enterprises to navigate the complex landscape of crisis management and maintain a competitive edge in the face of uncertainty.
Abstract
In the age of Artificial Intelligence (AI), enterprises face an increasingly complex and unpredictable business environment. Disruptions, whether caused by natural disasters, cyber-attacks, or global crises, can have severe consequences on an organization’s operations, financial stability, and long-term viability. At the heart of an enterprise’s ability to navigate these challenges lies its knowledge management capabilities. Effective knowledge management is crucial for Business Continuity Planning (BCP) in the AI era. Organizations must ensure the preservation, accessibility, and resilience of their critical knowledge assets to maintain operational continuity and enable rapid recovery from disruptions. However, the integration of knowledge management with BCP strategies presents unique challenges and opportunities in the context of emerging AI technologies. This academic paper explores the role of knowledge management in enhancing BCP in the age of AI. It delves into the key considerations, strategies, and best practices that organizations should adopt to safeguard their knowledge assets, leverage AI-powered capabilities, and ensure the resilience of their knowledge management systems. The study aims to provide a comprehensive framework for enterprises to navigate the complex landscape of crisis management and maintain a competitive edge in the face of uncertainty.
참고문헌 (61)
- Lee, K. C., "Case study for crisis management by taking advantage of effective knowledge management strategy", Knowledge Management Research, 11(4), pp.79~89 (2010)
- Jun, J. H., "A study on the next generation web enabled knowledge management system architecture", Knowledge Management Research Symposium, 12, pp.95~124 (2004)
- Choi, C. I., "ESG-based corporate governance and knowledge management : Implications for public enterprises", Knowledge Management Research, 24(3), pp.53~71 (2023)
- Jeleel-Ojuade, A, "AI-driven knowledge management:improving collaboration among business professionals in Nigeria", ~ (2024)
- Arrieta, N., "Knowledge preservation", 2007 IEEE 8th Human Factors and Power Plants and HPRCT 13th Annual Meeting, pp.378~381 (2007)
- Yilmaz, A. A., "AI-driven data analytics in information sciences and organizational management, Advances in Business Information Systems and Analytics Book Series", ~ (2024)
- Wen, B., "Preliminary exploration on the construction and application of knowledge graph for security control strategy", 12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (2022)
- Bollinger, A. S., "Managing organizational knowledge as a strategic asset", Journal of Knowledge Management, 5, pp.8~18 (2001)
- Bullock, J. B., "Artificial intelligence, discretion, and bureaucracy", The American Review of Public Administration, 49(7), pp.751~761 (2019)[DOI]
- Rouco, J. C., "Business continuity management and resilience challenges, Advances in Business Information Systems and Analytics Book Series", ~ (2024)
- Cath, C., "Governing artificial intelligence: Ethical, legal and technical opportunities and challenges", Philosophical Transactions of the Royal Society A:Mathematical, Physical and Engineering Sciences, 376(2133), pp.20180080~ (2018)[DOI]
- Susilowati, C., "Knowledge management orientation as SME resilience in disruption era, Thriving in a Disruptive World: How Entrepreneurs and Managers Learn for a Brighter Future", ~ (2023)
- McManus, D. J., "Knowledge management: The missing element in business continuity planning, Knowledge Management: Concepts, Methodologies, Tools, and Applications", ~ (2003)
- Papagiannidis, E., "From responsible ai governance to competitive performance: The mediating role of knowledge management capabilities", 21st IFIP Conference I3E2022 e-Business, e-Services, and e-Society (2022)
- Ergazakis, E., "An AI-based decision support system for designing Knowledge-Based Development strategies", International Journal of Intelligent Systems Technologies and Applications, 5(1-2), pp.201~233 (2008)[DOI]
- Multan, E., "Knowledge about competences increasing resilience to crises in the modern business sector : Results of the Polish University Project", Sustainability, 14(16), pp.9861~ (2022)[DOI]
- Gasser, U., "A layered model for AI governance", IEEE Internet Computing, 21(6), pp.56~62 (2017)[DOI]
- Falco, G., "Governing AI safety through independent audits", Nature Machine Intelligence, 3(7), pp.566~571 (2021)[DOI]
- Urbancova, H., "Knowledge continuity as a part of business continuity management", International Journal of Industrial and Systems Engineering, 7(4), pp.877~881 (2013)
- Urbancová, H., "Importance of knowledge continuity in business continuity management", Acta Universitatis Bohemiae Meridionales, 16(1), pp.3~13 (2013)
- Model-based knowledge management in HV battery development, "Badi, I.", SAE, ~ (2024)
- Ihrig, M., "Managing your mission-critical knowledge", Harvard Business Review, 93, pp.17~ (2015)
- Jennex, M. E., "Assessing knowledge loss risk", 2013 46th Hawaii International Conference on System Sciences, pp.3478~3487 (2013)
- Kalogiannidis, S., "The role of artificial intelligence technology in predictive risk assessment for business continuity : A case study of Greece", Risks, 12(2), pp.19~ (2024)[DOI]
- Mahanta, K., "Safety and security in AI systems, Advances in Computational Intelligence and Robotics Book Series", ~ (2023)
- Almeida, V., "On the development of AI governance frameworks", IEEE Internet Computing, 27(1), pp.70~74 (2023)[DOI]
- Miao, M., "Business continuity innovation in disruption time:sociotechnical systems, business analytics, virtual business, and mediating role of knowledge absorptive capacity", IEEE Transactions on Engineering Management (2022)[DOI]
- Rajagopal, M., "A conceptual framework for AI governance in public administration – A smart governance perspective", 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (2023)
- Handzic, M., "A contingency approach to knowledge management : Finding the best fit", Journal of Knowledge Management, 12(1), pp.31~44 (2016)
- Robles, P., "Catching up with AI : Pushing toward a cohesive governance framework", Politics & Policy, 51(3), pp.355~372 (2023)[DOI]
- Binsaeed, R. H., "Knowledge sharing key issue for digital technology and artificial intelligence adoption", Systems, 11(7), pp.316~ (2023)[DOI]
- Gupta, S., "Managing digital knowledge for ensuring business efficiency and continuity", Journal of Knowledge Management, 27(2), pp.245~263 (2022)
- Smuha, N. A., "The EU approach to ethics guidelines for trustworthy artificial intelligence", Computer Law Review International, 20(4), pp.97~106 (2019)[DOI]
- Taeihagh, A., "Governance of artificial intelligence", Policy and Society, 40(2), pp.137~157 (2021)[DOI]
- Atkas, T., "Governance of knowledge in management systems applications", International Journal of Conformity Assessment (2022)[DOI]
- Truby, J., "Governing artificial intelligence to benefit the UN sustainable development goals", Regulation(IO)(Topic), 52(1), pp.437~456 (2020)
- Kalkan, V. D., "Knowledge continuity management process in organizations", Journal of Business & Economics Research, 4(3) (2006)[DOI]
- Wirtz, B. W., "The dark sides of artificial intelligence : An integrated AI governance framework for public administration", International Journal of Public Administration, 43(9), pp.818~829 (2020)[DOI]
- Hu, L., "How does knowledge management matter for supply chain resilience? : Mediator of collaborative innovation capability and moderator of social media use", Journal of Organizational and End User Computing, 36(1), pp.1~23 (2024)[DOI]
- Yeung, K., "AI governance by human rights-centred design, deliberation and oversight : An end to ethics washing", SSRN Electronic Journal (2019)[DOI]
- Dwyann, Dalrymple., "Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems", ~ (2024)
- Isabel, Pinho, "Aligning Knowledge Management with Research Knowledge Governance", ~ (2016)
- Jaime, Miranda., "Analysis of Critical Knowledge for Strengthening Resilience and Operational Safety", ~ (2023)
- Jeong-Wook, Seo., "Federated AI Chat System: Tackling Tacit Knowledge Management", ~ (2024)
- Kieran, Clarke., "Cultivating knowledge", ~ (2024)
- Kursad, Ozlen., "A Contingency Perspective for Knowledge Management Solutions in Different Decision-Making Contexts", ~ (2019)
- Laura, P. Taylor., "Developing the Contingency Plan", ~ (2013)
- Nora, Fteimi., "Knowledge Management in the Era of Artificial Intelligence -Developing an Integrative Framework", ~ (2021)
- Priyanka, Kumari., "harnessing AI and automation for enhanced decision-making in management", ~ (2024)
- Rebecca, Vining., "Developing a Framework for Trustworthy AI-Supported Knowledge Management in the Governance of Risk and Change", ~ (2022)
- Ritesh, Kumar., "A study on implementation of artificial intelligence technologies in business automachine", ~ (2024)
- "Has knowledge management missed the business continuity boat? a study of vulnerable university knowledge assets" (2011)[URL]
- S. S. Blessy., "AI Driven Industrial Automation", ~ (2024)
- Sarafudheen, M. Tharayil., "Transforming Knowledge Management System with AI Technology for Document Archives", ~ (2024)
- Ugo, Pagallo., "The Governance of AI and Its Legal Context-Dependency", ~ (2021)
- Wang Xuyan, "Artificial Intelligence-Enabled Knowledge Management", ~ (2022)
- Xiaozhou, Li., "Knowledge Management Challenges for AI Quality", ~ (2022)
- "Building ethics into artificial intelligence" (2018)[URL]
- Artificial intelligence:American attitudes and trends, "Zhang, B.", Center for the Governance of AI, Future of Humanity Institute, ~ (2019)
