Questions and Answers
What is the primary function of ECM systems according to Mooradian?
What format provided a static, record copy of documents amenable to RM purposes?
What is the acronym used to denote 'Artificial Intelligence supported KM'?
What is the expected impact of big data and AI on KM according to Majumder and Dey?
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What is an area where AI is expected to improve KM system functions according to Ribiere, et al.?
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What technology supports the impact area of cognitive insights in KM?
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What is the expected outcome of AI being incorporated into KM and RM?
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What is the name of the chapter that provides more details on the role of AI in KM and RM?
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What is primarily the focus of Records Management (RM) compared to Knowledge Management (KM)?
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Which stage in the RM Lifecycle corresponds with the Discovery stage in the KM Lifecycle?
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What type of knowledge is primarily elicited during KM processes?
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What distinguishes the scope of KM from RM in terms of knowledge artifacts?
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Which method is commonly used in both KM and RM to organize knowledge artifacts?
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In what way are the lifecycle models for KM and RM similar?
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What type of systems underlie the practice of KM and support the management of knowledge?
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Which statement best describes the relationship between explicit knowledge and RM?
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What stage in the KM Lifecycle involves evaluating existing knowledge before utilizing it further?
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Which aspect of RM is critical in supporting organizations in legal and regulatory contexts?
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What primary focus differentiates the third phase of knowledge management (KM) from earlier phases?
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How do Zhang and Koenig categorize the stages of knowledge management?
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Which aspect is unique to knowledge management compared to records management?
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What is a significant goal of knowledge management related to organizational memory?
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Which emerging area in KM is heavily influenced by artificial intelligence?
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What does organizational memory primarily involve in the context of KM?
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In terms of technology, how do KM and RM share similarities?
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What is one of the main influences on the origin story of knowledge management?
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How does KM specifically seek to utilize tacit knowledge?
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What is a key characteristic of the semantic web relevant to knowledge management?
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Which of the following is NOT a relevant discipline to Knowledge Management (KM)?
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What is the primary goal of Knowledge Management (KM)?
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Which of the following statements accurately describes the first era of Knowledge Management (KM)?
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Which of the following is NOT a core component of Knowledge Management (KM) as defined by Gupta et al.?
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What is the significance of the International Knowledge Management Network (IKMN)?
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Which of the following best describes the shift in focus from the first era of KM to the second era?
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How does Records Management (RM) relate to Knowledge Management (KM)?
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Which of the following statements BEST captures the multidisciplinary nature of Knowledge Management (KM)?
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Study Notes
Knowledge Management Overview
- Knowledge management (KM) is a strategic management vision that focuses on maximizing the value of knowledge in organizations.
- KM combines business practices and information technologies to create, disseminate, and utilize knowledge throughout its lifecycle.
- The field of KM is multi- and interdisciplinary, incorporating disciplines such as business management, computer science, library and information science, technical writing, education, and cognitive science.
Development of Knowledge Management
- KM began to take shape as a strategic focus and field in the 1980s with the emergence of expert systems, knowledge engineering, and knowledge bases.
- The field evolved through three eras:
- The first era (1980s) focused on codifying and capturing explicit knowledge using document repositories.
- The second era (circa 2000) expanded to tacit knowledge, using collaborative and social media technologies.
- The third and current era focuses on collective knowledge, incorporating sources external to the organization and leveraging artificial intelligence (AI).
Similarities and Differences between KM and Records Management
- Both KM and records management (RM) focus on documents and lifecycles, and both incorporate AI into their technologies and practices.
- Key differences include:
- KM focuses on converting tacit knowledge to explicit, repurposing it, and integrating knowledge into processes.
- KM connects people to share tacit knowledge and create new knowledge collaboratively.
- RM focuses on evidence, compliance, and accountability.
Organizational Memory
- KM and RM both aim to create organizational memory, which pools individual knowledge for access and prevents "organizational amnesia."
- Organizational memory is created through the capture of explicit, codified information and the elicitation of tacit knowledge from individuals.
Lifecycle Concept
- Both KM and RM use lifecycle models to structure their processes and activities.
- The KM process lifecycle includes discovery, capture, organization, assessment, sharing, reuse and application, and creation.
- The RM lifecycle includes creation, distribution and use, storage and maintenance, retention and disposition, and archive preservation.
Explicit and Tacit Knowledge and Information Systems
- Both RM and KM rely on explicit, codified information and information systems, including classification schemes, controlled vocabularies, taxonomies, and ontologies.
- Enterprise content management (ECM) systems are used to manage documents and content through their lifecycle and support collaboration and integration with business applications.
Artificial Intelligence
- AI is having a significant impact on KM, with the potential to transform the field through the capture and processing of big data and the application of machine learning algorithms.
- AI can improve KM system functions, including search and findability, knowledge visualization, UX/E, and supporting knowledge bases.
- AI technologies, such as auto-indexing and auto classification, natural language processing, semantic search, recommendation engines, and chatbots, are being integrated into ECM and other technology platforms that support both KM and RM.
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Description
Knowledge management focuses on maximizing the value of knowledge in organizations through business practices and information technologies. It aims to create and use organizational knowledge throughout its lifecycle.