| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | AA | ||
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1 | Term | Parent term | Term creator | Entry ID # | Term source | Primary discipline | Term type | Formal meaning | Meaning source | Informal meaning | Like terms | Example 1 | Example 1 Application | Example 2 | Example 2 Application | Example 3 | Example 2 Application | |||||||||||
2 | Agentic AI | Angshumala | AI and Technology | Artificial intelligence systems that act with a degree of autonomy, goal-directed behavior, and initiative | ||||||||||||||||||||||||
3 | Applications of Cognitive Science in KM | Angshumala | Conceptual Frameworks & Models | Using cognitive principles to improve KM processes like retrieval, learning, memory design, and user experience. | ||||||||||||||||||||||||
4 | Autonomy | Angshumala | AI and Technology | Operates independently, making decisions and taking actions without constant human input. | ||||||||||||||||||||||||
5 | Bandura’s Social Learning Theory | Rocio Sanz | https://www.simplypsychology.org/bandura.html | Cognitive Science Theory | Social learning theory, proposed by Albert Bandura, emphasizes the importance of observing, modeling, and imitating the behaviors, attitudes, and emotional reactions of others. Social learning theory considers how both environmental and cognitive factors interact to influence human learning and behavior. | |||||||||||||||||||||||
6 | CEO’s Buy-in of KM | Angshumala | Knowledge Governance & Strategy | Executive-level support and commitment to knowledge management initiatives, critical for cultural adoption and strategic alignment. | ||||||||||||||||||||||||
7 | Clients’ Mental Map | Angshumala | Cognitive & Psychological Models | The client’s perception and understanding of an organization’s services, products, and value proposition. | ||||||||||||||||||||||||
8 | Cognitive Aspects of KM | Angshumala | Cognitive & Psychological Models | Elements of knowledge management that deal with how people think, process, and recall information. | ||||||||||||||||||||||||
9 | Cognitive Bias | Angshumala | Cognitive Science & Memory | Systematic deviations from rational judgment (CogSci, impacts KM decisions and knowledge sharing). | ||||||||||||||||||||||||
10 | Cognitive Ergonomics | Angshumala | Cognitive Abilities & Dynamics | The study of how to design systems to support cognitive performance. | ||||||||||||||||||||||||
11 | Cognitive Flexibility | Angshumala | Cognitive Abilities & Dynamics | The ability to switch between different mental representations or tasks. | ||||||||||||||||||||||||
12 | Cognitive Load in KM | Angshumala | Cognitive Abilities & Dynamics | The mental effort required to process and retain knowledge, which can impact learning and performance. | ||||||||||||||||||||||||
13 | Cognitive Load Theory | Angshumala | Cognitive Science Theory | A theory explaining how cognitive load affects learning and performance. | ||||||||||||||||||||||||
14 | Cognitive Load Theory (John Sweller) | Stuart French | https://practicalpie.com/cognitive-load-theory/?utm_source=chatgpt.com | Cognitive Science Theory | Focuses on the amount of information that working memory can hold at one time, highlighting how excessive cognitive load can impede learning and social interaction. | |||||||||||||||||||||||
15 | Cognitive Science | Angshumala | Cognitive & Psychological Models | The interdisciplinary study of the mind and intelligence, involving psychology, neuroscience, linguistics, AI, philosophy, and anthropology. | ||||||||||||||||||||||||
16 | collective intentionality and social learning theory | Rocio Sanz | https://plato.stanford.edu/entries/collective-intentionality/ | Cognitive Science Theory | Collective intentionality is the power of minds to be jointly directed at objects, matters of fact, states of affairs, goals, or values. Collective intentionality comes in a variety of modes, including shared intention, joint attention, shared belief, collective acceptance, and collective emotion. | |||||||||||||||||||||||
17 | Conceptual Change | Angshumala | Cognitive Science & Memory | The process of changing one's understanding or concept of something. | ||||||||||||||||||||||||
18 | Content Management: | Angshumala | Knowledge Structures & Classification | Systematic management of digital information (important for explicit knowledge). | ||||||||||||||||||||||||
19 | Context Awareness | Angshumala | AI and Technology | Understands its environment and adjusts behavior accordingly. | ||||||||||||||||||||||||
20 | Data | Angshumala | Foundational Concepts | Raw, unprocessed facts (foundation in IM). | ||||||||||||||||||||||||
21 | Distributed Cognition (Ed Hutchins) | Angshumala | https://learning-theories.com/distributed-cognition-dcog.html?utm_source=chatgpt.com | Cognitive Abilities & Dynamics | Posits that cognitive processes are not confined to an individual but are distributed across people, objects, and tools in the environment, emphasizing collaborative aspects of thinking. | |||||||||||||||||||||||
22 | Embedding Models in KM | Angshumala | AI & Knowledge Automation | Models that represent complex data as vectors in a lower-dimensional space. | ||||||||||||||||||||||||
23 | Episodic Memory | Angshumala | Cognitive Science & Memory | Long-term memory for specific events and experiences. | ||||||||||||||||||||||||
24 | Evolution and Contextual Behavioral Science | Values | Joel Muzard | https://davidsloanwilson.world/book/evolution-and-contextual-behavioral-science-an-integrated-framework-for-understanding-predicting-and-influencing-human-behavior/ | Conceptual Frameworks & Models | |||||||||||||||||||||||
25 | Exit Interviews | Angshumala | Learning & Knowledge Evolution | Structured conversations with departing employees aimed at capturing knowledge, insights, and feedback before they leave | ||||||||||||||||||||||||
26 | Explainable AI (XAI) | Angshumala | AI & Knowledge Automation | AI systems designed to provide insights into their decision-making processes. | ||||||||||||||||||||||||
27 | Explicit Knowledge | Angshumala | Types of Knowledge | Codified knowledge that can be easily documented and transferred through formal means. | ||||||||||||||||||||||||
28 | Flow Theory (Mihaly Csikszentmihalyi) | Stuart French | https://online.ucpress.edu/collabra/article/10/1/92948/200116/Developments-and-Trends-in-Flow-Research-Over-40 | Cognitive Science Theory | The study of flow was pioneered by Mihaly Csikszentmihalyi (1975), who initially intended to investigate people’s creativity but eventually discovered flow, a positive experience or state that occurs when one is fully absorbed in the task at hand (Beard, 2015; Csikszentmihalyi, 1990). | |||||||||||||||||||||||
29 | Generative AI (Gen AI) | Angshumala | AI and Technology | AI capable of generating new content, such as text or images. | ||||||||||||||||||||||||
30 | Generative AI (Gen AI) | Angshumala | AI & Knowledge Automation | A class of AI models capable of generating original content (text, images, etc.), useful in knowledge creation and automation. | ||||||||||||||||||||||||
31 | Hand Model of the Brain | Joel Muzard | Cognitive & Psychological Models | |||||||||||||||||||||||||
32 | Heuristics & Biases | Angshumala | Cognitive Science & Memory | Mental shortcuts and systematic errors in thinking that affect decision-making. | ||||||||||||||||||||||||
33 | Hofstede's cultural dimensions theory | Stuart French | https://en.wikipedia.org/wiki/Hofstede%27s_cultural_dimensions_theory | Cognitive Science Theory | Hofstede's cultural dimensions theory is a framework for cross-cultural psychology, developed by Geert Hofstede. It shows the effects of a society's culture on the values of its members, and how these values relate to behavior, using a structure derived from factor analysis. | managerial science | ||||||||||||||||||||||
34 | Impact of Knowledge Use | Angshumala | Learning & Knowledge Evolution | The measurable or observable effect of applying knowledge, such as improved decision-making, innovation, or efficiency. | ||||||||||||||||||||||||
35 | Incentives for Knowledge Processes | Angshumala | Knowledge Governance & Strategy | Mechanisms (rewards, recognition, career benefits) designed to encourage participation in knowledge sharing, capture, and reuse. | ||||||||||||||||||||||||
36 | Information | Angshumala | Foundational Concepts | Organized or processed data that has meaning (core to IM; bridge between data and knowledge). | ||||||||||||||||||||||||
37 | Information Architecture | Angshumala | Knowledge Structures & Classification | Structuring and organizing content to support usability and findability (IM, KM). | ||||||||||||||||||||||||
38 | Information Overload | Angshumala | Cognitive Concepts | A situation where an individual receives too much information, making it difficult to process effectively. | ||||||||||||||||||||||||
39 | Information Overload | Angshumala | Information Challenges | A state where the volume of information exceeds one's capacity to process it effectively, leading to reduced performance. | ||||||||||||||||||||||||
40 | Intellectual capital | Angshumala | Types of Knowledge | The knowledge, skills, experience, and competencies of employees. | ||||||||||||||||||||||||
41 | Intellectual Capital | Angshumala | Intellectual Assets | The sum of all knowledge, expertise, and experience within an organization that contributes to its competitive advantage. | ||||||||||||||||||||||||
42 | interpersonal neurobiology (IPNB) | Joel Muzard | Daniel Seigel | Cognitive Abilities & Dynamics | ||||||||||||||||||||||||
43 | Knowledge | Angshumala | Foundational Concepts | Contextualized, actionable information created through experience or learning (central to KM & CogSci). | ||||||||||||||||||||||||
44 | Knowledge Audit | Angshumala | Knowledge Processes, Knowledge Governance & Strategy | A systematic evaluation of an organization's knowledge assets to identify gaps and opportunities. | ||||||||||||||||||||||||
45 | Knowledge Capture | Angshumala | Knowledge Processes | The process of identifying, acquiring, and organizing knowledge to make it accessible for future use. | ||||||||||||||||||||||||
46 | Knowledge Governance | Angshumala | Knowledge Governance & Strategy | The set of processes and structures used to manage knowledge within an organization. | ||||||||||||||||||||||||
47 | Knowledge Graphs | Angshumala | Knowledge Structures & Classification | A graphical representation of knowledge that connects entities and concepts. | ||||||||||||||||||||||||
48 | Knowledge Grows with Use | Angshumala | Learning & Knowledge Evolution | The idea that knowledge becomes richer and more valuable when it is applied, refined, and contextualized through repeated use. | ||||||||||||||||||||||||
49 | Knowledge Hoarding | Angshumala | Knowledge Processes | The practice of withholding or hiding knowledge from others within an organization, often due to personal or competitive reasons. | ||||||||||||||||||||||||
50 | Knowledge Keepers | Angshumala | Organizational Culture & Roles | Individuals with deep organizational knowledge, often tacit, who serve as repositories of institutional memory. | ||||||||||||||||||||||||
51 | Knowledge Language | Angshumala | Language & Communication | The vocabulary, terms, and communication style used to discuss, document, and frame knowledge within an organization. | ||||||||||||||||||||||||
52 | Knowledge Lifecycle | Angshumala | Knowledge Processes | The stages through which knowledge passes, from creation to retirement. | ||||||||||||||||||||||||
53 | Knowledge Mapping | Angshumala | Knowledge Processes | A visual representation of knowledge to identify, categorize, and connect different pieces of information. | ||||||||||||||||||||||||
54 | Knowledge Retention | Angshumala | Knowledge Processes | The ability of an organization to maintain and preserve its knowledge over time. | ||||||||||||||||||||||||
55 | Knowledge Science as a science | Angshumala | Knowledge Governance & Strategy | The formal study of how knowledge is created, shared, retained, and applied using scientific methods, often integrating cognitive science, KM, and data science. | ||||||||||||||||||||||||
56 | Knowledge Seekers | Angshumala | Organizational Culture & Roles | Individuals or roles who actively look for, access, or apply knowledge to solve problems or learn. | ||||||||||||||||||||||||
57 | Knowledge Taxonomy | Angshumala | Knowledge Structures & Classification | A systematic classification of knowledge into categories to facilitate understanding and retrieval. | ||||||||||||||||||||||||
58 | Knowledge Transfer | Angshumala | Knowledge Processes | The process of sharing or disseminating knowledge from one person, group, or organization to another | ||||||||||||||||||||||||
59 | Knowledge Work Automation | Angshumala | The use of technology to automate tasks related to knowledge management. | |||||||||||||||||||||||||
60 | Knowledge Work Automation | Angshumala | AI & Knowledge Automation | The use of technology to automate cognitive tasks such as writing, summarizing, or retrieving knowledge. | ||||||||||||||||||||||||
61 | Learning Science | Angshumala | Learning & Knowledge Evolution | An interdisciplinary field that studies how people learn and how to optimize learning processes using evidence-based methods. | ||||||||||||||||||||||||
62 | Lessons Learned | Angshumala | Knowledge Processes | Documented insights gained from projects or operations. | ||||||||||||||||||||||||
63 | Memory Retrieval | Angshumala | Cognitive Science & Memory | The process of accessing stored information from memory. | ||||||||||||||||||||||||
64 | mental model theory | Rocio Sanz | Philip Johnson-Laird (1983) | Cognitive Science Theory | Further developed mental model theory in his book Mental Models, linking reasoning and decision-making to internal cognitive structures. | |||||||||||||||||||||||
65 | Mental Models | Angshumala | Cognitive & Psychological Models | Cognitive representations of how things work, used to make predictions and decisions3. | ||||||||||||||||||||||||
66 | Mentorship for Tacit Knowledge Transfer | Angshumala | Knowledge Transfer Mechanisms | A relationship where experienced individuals share experiential insights (tacit knowledge) through personal interaction. | ||||||||||||||||||||||||
67 | Mentorship vs Training | Angshumala | Knowledge Transfer Mechanisms | Mentorship focuses on experiential learning and guidance; training is more formal, structured, and skill-based. | ||||||||||||||||||||||||
68 | Metacognition | Angshumala | Cognitive Abilities & Dynamics | The process of thinking about and reflecting on one's own cognitive processes. | ||||||||||||||||||||||||
69 | Metacognition | Angshumala | Data Management | Thinking about thinking—important for reflection in knowledge practices. | ||||||||||||||||||||||||
70 | Metadata | Angshumala | Knowledge Structures & Classification | Data about data—crucial for search, retrieval, and classification. | ||||||||||||||||||||||||
71 | Mindsight | Joel Muzard | Daniel J. Siegel - Wikipedia | Cognitive & Psychological Models | Mindsight refers to the brain's capacity for insight and empathy, allowing individuals to recognize their own emotions and the emotions of others. For Dr. Dan Siegel, learning is about developing "mindsight," the capacity to understand and connect with one's own mind and the minds of others. This involves understanding how the mind, embodied brain, and relationships shape our development and how to enhance mental health and well-being. Siegel's perspective emphasizes the interdisciplinary nature of learning, drawing from various fields like psychology, neurobiology, and human relationships. | |||||||||||||||||||||||
72 | Natural Language Processing (NLP) for KM | Angshumala | AI & Knowledge Automation | The use of NLP to manage and analyze knowledge in text form. | ||||||||||||||||||||||||
73 | Neural Networks & Connectionist Models | Angshumala | AI and Technology | AI models inspired by the structure and function of the brain. | ||||||||||||||||||||||||
74 | Neural Networks & Connectionist Models | Angshumala | AI & Knowledge Automation | AI models inspired by the human brain's neural structure used to process complex data and recognize patterns. | ||||||||||||||||||||||||
75 | Ontology | Angshumala | Knowledge Structures & Classification | A formal representation of knowledge as a set of concepts and relationships (KM, IM, CogSci). | ||||||||||||||||||||||||
76 | Organizational Learning | Angshumala | Learning and Performance | The process by which organizations adapt and improve based on experience and knowledge. | ||||||||||||||||||||||||
77 | Organizational Learning | Angshumala | Learning & Knowledge Evolution | The continuous process by which organizations improve through experience, reflection, and applying lessons learned | ||||||||||||||||||||||||
78 | Ownership of Individual Knowledge | Angshumala | Organizational Culture & Roles | The notion that individuals perceive certain knowledge as personally developed or held, influencing their willingness to share. | ||||||||||||||||||||||||
79 | Pattern Recognition | Angshumala | Cognitive Science & Memory | The ability to identify patterns in data or information | ||||||||||||||||||||||||
80 | Personality psychology | Joel Muzard | https://en.wikipedia.org/wiki/Personality_psychology | Research Discipline | Personality psychology is a branch of psychology that examines personality and its variation among individuals. It aims to show how people are individually different due to psychological forces. | |||||||||||||||||||||||
81 | Prompt Engineering for KM | Angshumala | AI & Knowledge Automation | The process of crafting effective prompts for AI systems to generate relevant knowledge. | ||||||||||||||||||||||||
82 | Relational Capital | Angshumala | Types of Knowledge | The value derived from relationships with customers, partners, suppliers, and other external stakeholders. | ||||||||||||||||||||||||
83 | Relational frame theory | Joel Muzard | https://en.wikipedia.org/wiki/Steven_C._Hayes | Cognitive Science Theory | Relational frame theory (RFT) is a behavior analytic theory of human language, cognition, and behaviour. It was developed originally by Steven C. Hayes of University of Nevada, Reno[1] and has been extended in research, notably by Dermot Barnes-Holmes and colleagues of Ghent University. | |||||||||||||||||||||||
84 | Relational Organizational Culture | Angshumala | Organizational Culture & Roles | A culture emphasizing trust, collaboration, and long-term relationships, which supports knowledge sharing and community building. | ||||||||||||||||||||||||
85 | Schema | Angshumala | Cognitive Science & Memory | A mental framework or concept that helps organize and interpret information. | ||||||||||||||||||||||||
86 | SECI Model | Angshumala | Learning & Knowledge Evolution, Conceptual Frameworks & Models | A model of knowledge creation involving Socialization, Externalization, Combination, and Internalization. | ||||||||||||||||||||||||
87 | Self-Determination Theory (Deci & Ryan) | Stuart French | https://selfdeterminationtheory.org/SDT/documents/2000_RyanDeci_SDT.pdf?utm_source=chatgpt.com | Cognitive Science Theory | A framework for understanding human motivation, emphasizing the importance of autonomy, competence, and relatedness in fostering intrinsic motivation and social engagement. | |||||||||||||||||||||||
88 | Self-directed Learning | Rocio Sanz | https://infed.org/mobi/self-directed-learning/ | Conceptual Frameworks & Models | In its broadest meaning, self-directed learning describes a process in which individuals take the initiative, with or without the help of others, in diagnosing their learning needs, formulating learning goals, identifying human and material resources for learning, choosing and implementing appropriate learning strategies, and evaluating learning outcomes. (Knowles, 1975, p. 18) | |||||||||||||||||||||||
89 | Semantic Memory | Angshumala | Cognitive Science & Memory | Long-term memory for factual information and general knowledge. | ||||||||||||||||||||||||
90 | Semantic Search | Angshumala | AI & Knowledge Automation | Search techniques that understand the meaning of search queries. | ||||||||||||||||||||||||
91 | Situated Cognition | Angshumala | Cognitive Abilities & Dynamics | The idea that cognition is influenced by the context in which it occurs. | ||||||||||||||||||||||||
92 | Situated Learning and Communities of Practice (Jean Lave & Etienne Wenger) | Stuart French | https://www.wenger-trayner.com/introduction-to-communities-of-practice/ | Learning & Knowledge Evolution | Knowledge is created and sustained within communities of practice where learning is participation in social activity, not just acquiring facts. Key Term: Legitimate Peripheral Participation — how newcomers gradually become part of a knowledge community. | |||||||||||||||||||||||
93 | Social Construction of Knowledge | https://journals.aom.org/doi/abs/10.5465/AMLE.2004.13500489 | Conceptual Frameworks & Models | |||||||||||||||||||||||||
94 | Social Exchange Theory (Daniel Seigel) | Stuart French | https://drdansiegel.com/interpersonal-neurobiology/?utm_source=chatgpt.com | Cognitive Science Theory | Analyzes social interactions as exchanges where individuals seek to maximize benefits and minimize costs, influencing relationship dynamics and engagement. | Legitimate Peripheral Participation | Apprenticeship | |||||||||||||||||||||
95 | Social Identity Theory (Henri Tajfel & John Turner) | Stuart French | https://www.simplypsychology.org/social-identity-theory.html?utm_source=chatgpt.com | Cognitive Science Theory | Suggests that a person's sense of who they are is based on their group memberships, influencing intergroup behavior and social cohesion. | |||||||||||||||||||||||
96 | Societal Mental Models | Angshumala | Cognitive & Psychological Models | Shared cognitive frameworks or beliefs held by a society that shape understanding and behavior at a cultural level. | ||||||||||||||||||||||||
97 | Structural Capital | Angshumala | Types of Knowledge | The processes, systems, databases, organizational culture, and intellectual property that support employee productivity. | ||||||||||||||||||||||||
98 | Tacit Knowledge | Angshumala | Types of Knowledge | Unspoken, intuitive, and experiential insights difficult to articulate or document, gained through personal experiences and interactions. | ||||||||||||||||||||||||
99 | Team/Group Mental Models | Angshumala | Cognitive & Psychological Models | Shared understandings among team members about tasks, roles, processes, or systems that support effective collaboration. | ||||||||||||||||||||||||
100 | Technology Mental Models | Angshumala | Cognitive & Psychological Models | Users’ internal understanding of how technologies work, which influences their interaction and knowledge behavior with tools. |