AI challenges conventional knowledge management: light the way for reframing SECI model and Ba theory

Journal of Knowledge Management, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Purpose Nonaka’s SECI (Socialization-Externalization-Combination-Internalization) model and Ba theory have been dominant frameworks in knowledge management (KM) for decades, but less attention is given to their revolutionary changes the era of human-intelligence interaction. Thus, this study aims explore profound impact artificial intelligence (AI) on conventional theory. Design/methodology/approach This integrates systematic literature review (LDA) abductive reasoning as research design analyze existing (12,075 results from Web Science Core Collection) find gap potential clues proceeding our future direction. Findings reconstructs reinterprets AI-based AI-enabled Ba. Specifically, it reimagines forms functions, establishing a new paradigm through dimensions socialization, externalization, combination internalization. Additionally, examines knowledge-driven pathways via perceptual, cognitive behavioral intelligence. It further develops conduct an in-depth analysis sharing creation, aligning these processes with updated framework. Notably, replaces traditional Dialoguing Interpretation Systemizing Decision-making introduces concept “AI-based force” proposes method measuring its influence rising spiral. also conceptualizes basis nature symbiosis, emphasizing shift human-centric relationship. The affordances employed relational dynamics terms existence, perception, actualization effects affordances. Meanwhile, doctrine mean used illuminate relationship across technological content dimensions. Practical implications findings inspire managers decision-makers adopt various strategies accelerate transformation, thereby enhancing overall force human decision-making. These can help rationally manage innovate boost reserves, well promote development AI technologies related creation. Originality/value leverages tool reconstruct by Ba, revealing complete conversion process underlying mechanisms. broadens application creation literature, highlighting symbiosis among humans, tools environment. As result, emphasize need synergistic collaboration between agents humans KM.

Язык: Английский

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Framework for Integrating Generative AI in Developing Competencies for Accounting and Audit Professionals

Electronics, Год журнала: 2024, Номер 13(13), С. 2621 - 2621

Опубликована: Июль 4, 2024

The study aims to identify the knowledge, skills and competencies required by accounting auditing (AA) professionals in context of integrating disruptive Generative Artificial Intelligence (GenAI) technologies develop a framework for GenAI capabilities into organisational systems, harnessing its potential revolutionise lifelong learning development assist day-to-day operations decision-making. Through systematic literature review, 103 papers were analysed, outline, current business ecosystem, competencies’ demand generated AI adoption and, particular, associated risks, thus contributing body knowledge underexplored research areas. Positioned at confluence accounting, GenAI, paper introduces meaningful overview areas effective data analysis, interpretation findings, risk awareness management. It emphasizes reshapes role discovering true adopting it accordingly. new LLM-based system model that can enhance through collaboration with similar systems provides an explanatory scenario illustrate applicability audit area.

Язык: Английский

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Tech revolution unleashed: Navigating the winds of digital transformation in the fast lane

Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(4), С. 100551 - 100551

Опубликована: Сен. 5, 2024

Язык: Английский

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Chatbots adoption intention in public sector in Malaysia from the perspective of TOE framework. The moderated and mediation model

Journal of Science and Technology Policy Management, Год журнала: 2024, Номер unknown

Опубликована: Окт. 15, 2024

Purpose This paper aims to investigate the motivating factors for Malaysian governmental agencies (MGAs) embrace chatbot technology. Design/methodology/approach Based on technology-organisation-environment (TOE) framework, using purposive and snowball sampling techniques, 262 online data from MGA top management were gathered. Smart PLS4 was employed test hypotheses of study. Findings The findings demonstrated positive relationships between technological readiness (TR), big analytics (BDA), organisational (OR), learning capabilities (OLC) policies (GP) concerning adoption intention also relationship GP with OR. A mediating effect observed, which indicated OLC role in positively BDA, OR as sequential mediators BDA intention. Furthermore, presence citizen demand (CD) strengthened TR, Research limitations/implications study limited federal government who still not adopting Chatbots. Practical implications offer valuable insight into affect chatbots among agencies. Stakeholders, including department heads, can use these strategically enhance counter service by promoting adoption. Originality/value that TOE framework effective identifying contributing decision-making process across MGAs. Organisational organisation capability found sequentially mediate analytic adopt chatbot. Citizen have moderation towards a

Язык: Английский

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Adapting to change: redefining employee utilization in construction projects through lessons learnt from COVID-19

Employee Relations, Год журнала: 2025, Номер unknown

Опубликована: Янв. 13, 2025

Purpose The study aims to understand the challenges of effective employee utilization in construction projects during coronavirus disease 2019 (COVID-19) pandemic a developing country and develop mitigation strategies for post-pandemic workforce management. Design/methodology/approach We used qualitative research design conduct semi-structured interviews with elite informants various firms analyze data using thematic analysis. Findings results showed that numerous factors, including supply chain issues, inadequate worker healthcare, ineffective knowledge management job losses, have negatively impacted industry. prominent outcomes are conceptual framework beyond, recommendations managers executives future research. Originality/value developed this provides new theoretical view through lens dynamics capabilities findings cover industrial insights, particularly from stakeholders’ perspective, provide solid foundation domain.

Язык: Английский

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Gen-AI for TSMO Knowledge Management

Опубликована: Янв. 1, 2025

Язык: Английский

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About the Nature of Knowledge

Synthesis lectures on technology, management, and entrepreneurship, Год журнала: 2025, Номер unknown, С. 43 - 52

Опубликована: Янв. 1, 2025

Язык: Английский

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From general AI to custom AI: the effects of generative conversational AI’s cognitive and emotional conversational skills on user's guidance

Kybernetes, Год журнала: 2024, Номер unknown

Опубликована: Авг. 14, 2024

Purpose Generative conversational artificial intelligence (AI) demonstrates powerful skills for general tasks but requires customization specific tasks. The quality of a custom generative AI highly depends on users’ guidance, which has not been studied by previous research. This study uses social exchange theory to examine how AI’s cognitive and emotional affect guidance through different types user engagement, these effects are moderated relationship norm orientation. Design/methodology/approach Based data collected from 589 actual users using two-wave survey, this employed partial least squares structural equation modeling analyze the proposed hypotheses. Additional analyses were performed test robustness our research model results. Findings results reveal that (i.e. tailored creative responses) positively affected engagement. However, understanding emotion influenced engagement empathic concern In addition, guidance. Further, orientation some such impact was stronger communal-oriented than exchange-oriented users. Originality/value First, drawing theory, empirically examined drivers in context AI, may enrich literature. Second, revealed moderating role influencing effect findings will deepen Third, provide practical guidelines designing AI.

Язык: Английский

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Exploring the non-linear trajectories of technology adoption in the digital age

Technological Sustainability, Год журнала: 2024, Номер unknown

Опубликована: Июнь 3, 2024

Purpose The objective of this research is to examine the accelerated adoption mechanisms emerging technologies in information systems. Its goal comprehend drivers behind prompt assimilation technology trends such as TikTok, ChatGPT, mobile payment schemes, cryptocurrency and VR. Design/methodology/approach study follows systematic literature review methodology (using PRISMA protocol guide selection scholarly materials from Google Scholar, Scopus Springer). Specifically, draws on identified trajectories (ChatGPT, cryptocurrency, systems, virtual reality) systematically assess pertinent insights, theoretical lenses Disruptive Innovation Theory reach interpretations. Findings indicates that shaped by several variables user-centered design, network effects, content powered through algorithms, viral trends, ease-of-use accessibility features, engagement levels retention rates. Research limitations/implications specific platforms may limit generalizability findings. Social implications emergence new causing a shift societal behaviors norms, which has significant social implications. While TikTok offer opportunities for community-building, there are concerns regarding digital divide privacy issues need be addressed. So understanding impact these changes becomes vital achieving fairness access making technology's potential transformation practicalized effectively. Originality/value This enhances current body presenting thorough examination non-linear patterns involved adopting advanced technologies. By combining knowledge numerous fields, delivers an integrated comprehension what factors swift adoption.

Язык: Английский

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Artificial intelligence and ChatGPT are fostering knowledge sharing, ethics, academia and libraries

International Journal of Information and Learning Technology, Год журнала: 2024, Номер unknown

Опубликована: Дек. 17, 2024

Purpose Given the increasing attention on ChatGPT in academia due to its advanced features and capabilities, this study aims examine links among Artificial intelligence (AI), knowledge sharing, ethics, libraries educational institutions. Moreover, also provide a literature base while discussing recent trends AI technologies, highlighting their specific uses Design/methodology/approach The paper involves structured interview format where human interviewer poses questions “Qs” ChatGPT, related libraries. Moreover is discussed Findings find out that technologies institutions affect ethical consideration, This highlights directions for proper use of institutions, such as improving student-learning engagement. Originality/value research contributes prior by offering an in-depth review current applications It not only key innovations but provides insights guidelines future research. Furthermore, article emphasizes potential impact education technology.

Язык: Английский

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