Search Results (9)

This study conducts a systematic bibliometric review of artificial intelligence (AI)-based approaches to tacit knowledge extraction and management. Drawing on data retrieved from Scopus and Web of Science, this study analyzes 126 publications published between 1985 and 2025 using VOSviewer and Biblioshiny to map citation networks, keyword co-occurrence patterns, and thematic evolution. The results identify nine major clusters spanning machine learning, natural language processing, semantic modeling, expert systems, knowledge-based decision support, and emerging hybrid techniques. Collectively, these findings indicate a field-wide shift from manual codification toward scalable, context-aware, and semantically enriched approaches that better support tacit knowing in organizational practice. Building on these insights, the paper introduces the AI–Tacit Knowledge Co-Evolution Model, which situates AI as an epistemic partner—augmenting human interpretive processes rather than merely codifying experience. The framework integrates Polanyi’s concept of tacit knowing, Nonaka’s SECI model, and sociotechnical learning theories to elucidate how human–AI interaction transforms the dynamics of knowledge creation. The review consolidates fragmented research streams and provides a conceptual foundation for guiding future methodological development in AI-enabled tacit knowledge management. Full article

The evolving landscape of digital education, particularly in professional programs such as Master of Business Administration (MBA) programs, presents unique challenges in effectively transforming tacit professional knowledge into explicit academic understanding. While various pedagogical models address digital learning broadly, few offer structured frameworks that meet the specific needs of educators and students in digital MBA programs. This study addresses this gap by proposing an adapted integration of the Socialization, Externalization, Combination, and Internalization (SECI) model, originally developed by Nonaka and Takeuchi, with multi-layered ‘ba’ (shared context) and distributed leadership principles. The research problem centers on the lack of systematic models that bridge professional experience with academic theory in digital, collaborative environments. The originality of this work lies in the development of the Cadence of Course Design Model—a structured, iterative framework specifically designed to enhance knowledge creation in digital MBA programs. A mixed-methods approach evaluated this model’s effectiveness, combining pre- and post-course surveys with qualitative reflections. Results indicate significant improvement in students’ comprehension (from 3.1 to 4.3 on a five-point scale), strongly confirming hypothesis H1. While students reported high satisfaction with distributed leadership aspects, the correlation between perceived effectiveness and actual improvement was not statistically significant, and high satisfaction with distributed-leadership dynamics; however, the latter did not show a direct statistical link to learning gains, indicating partial support for H2. This study contributes to educational theory by demonstrating how knowledge management principles can complement existing pedagogical models, enhancing student engagement and professional readiness in digitally mediated learning environments. Full article

Background: The integration of Artificial Intelligence (AI) into Business Process Management Systems (BPMSs) has led to the emergence of AI-Augmented Business Process Management Systems (ABPMSs). These systems offer dynamic adaptation, real-time process optimization, and enhanced knowledge management capabilities. However, key challenges remain, particularly regarding explainability, user engagement, and behavioral integration. Methods: This study presents a novel framework that synergistically integrates the Socialization, Externalization, Combination, and Internalization knowledge model (SECI), Agile methods (specifically Scrum), and cutting-edge AI technologies, including explainable AI (XAI), process mining, and Robotic Process Automation (RPA). The framework enables the formalization, verification, and sharing of knowledge via a well-organized, user-friendly software platform and collaborative practices, especially Communities of Practice (CoPs). Results: The framework emphasizes situation-aware explainability, modular adoption, and continuous improvement to ensure effective human–AI collaboration. It provides theoretical and practical mechanisms for aligning AI capabilities with organizational knowledge management. Conclusions: The proposed framework facilitates the transition from traditional BPMSs to more sophisticated ABPMSs by leveraging structured methodologies and technologies. The approach enhances knowledge exchange and process evolution, supported by detailed modeling using BPMN 2.0. Full article

In the post-COVID-19 era, education requires teachers to engage learners across diverse learning environments (at school or other formal institutions, at home, outdoors, or in virtual environments) using innovative learning strategies. To meet these challenges, teachers must upskill their creativity and strengthen their pedagogical digital competencies and knowledge management skills. This study introduces the innovative teacher training and support (TTS-IPCD) model to enhance teachers’ creativity and pedagogical digital competencies. This research involved a sample of 350 teachers from 75 primary and secondary schools over a four-year period. Teachers’ creativity was measured using the Kirton Adaption–Innovation Inventory (KAI), assessing key metrics such as problem-solving flexibility, openness to change, and inclination toward novel approaches. Quantitative analysis was conducted using an independent samples t-test to evaluate teacher creativity changes. The results indicated that the TTS-IPCD model enhanced teacher creativity in the direction of a stronger propensity toward innovative behaviors, including embracing diversity and change in their work, solving problems through novel approaches, and adopting a holistic perspective rather than strictly adhering to established routines. Furthermore, the TTS-IPCD model improved teamwork and collaboration, contributing to the development of more adaptive and innovative learning environments. These findings highlight the importance of continuous professional development of teachers focused on creative pedagogy and digital competencies to equip teachers for the evolving educational landscape. Full article

This article proposes the application of the AHP method in an office furniture remanufacturing company, with the aim of optimizing knowledge retention and management. In particular, it seeks to establish the optimal retrieval route for returned products. To this end, a bibliographic analysis was first carried out, which revealed the scarcity of previous studies on the subject, thus validating the relevance of this work. Subsequently, a practical application of the AHP method was carried out to define the weighting matrix of the evaluation criteria, applied to three specific pieces of furniture, which confirmed the effectiveness of the tool. In a complementary manner, Nonaka and Takeuchi’s SECI model of knowledge management was used, guaranteeing the continuous updating of the matrices and the adequate retention of knowledge in the company. This methodology will increase the volume of remanufactured products and improve operating margins. By reaping both the economic and environmental benefits of this practice, the company will be able to reduce costs, generate additional revenue, improve its corporate image, and build customer loyalty. At the same time, this study promotes the sustainability and sustainable development of this practice within the company and, by extension, in the broader office furniture manufacturing industry. It can serve as a reference for other companies in this sector across different countries. Full article

Considering the SECI model, which emphasizes a modern conception of knowledge management, the main objective of this study is to understand how the socialization, externalization, combination, and internalization (SECI) dimensions can influence innovative behavior within organizations. The quantitative method was adopted, carrying out a descriptive-correlational study in which 247 individuals participated. For data collection, a questionnaire was used. Their analysis was performed using SPSS software. The results show that of the four dimensions of the SECI model, only three have a positive influence on innovative behavior: externalization, combination, and internalization. This study highlights the importance that the SECI model has in understanding knowledge generated by companies/organizations, in particular, startups. It is possible to state that this model is extremely important to understand innovative behavior in startups, but also issues related to entrepreneurship, thus rendering this study into a guiding reference for companies. Full article

Information and communications technology (ICT) has bridged the gap between students and universities during the COVID-19 pandemic. As COVID-19 brings pandemic pedagogy to transnational higher education (TNHE), the emergent response of Chinese universities to this disruption to education has been to update practices to tackle the pedagogical and contextual differences in transnational education. However, few studies have examined the impact of the pandemic on TNHE through the lens of the socialization, externalization, combination and internalization (SECI) model and investigated the extent to which teaching faculty can co-construct knowledge in collaborative teaching with the assistance of ICT. This study uses the theoretical framework of the SECI model to explore whether collaborative teaching was effective in TNHE during COVID-19. A quantitative questionnaire is conducted to examine the joint knowledge production by adding information technology utilization to the four knowledge-creation and knowledge-conversion processes. Finally, the study explores a SECI knowledge-creation model with technology integration for discussing collaborative teaching quality during COVID-19. The results imply that collaborative teaching management can be linked to the multidimensions of knowledge generation and transfer. It also recommends that pedagogical knowledge and technological expertise can enhance instructional design and teaching practices from the knowledge perspective and achieve sustainable development in THNE. Full article

Currently, technology usage is a fundamental asset for creating, developing, and implementing innovations; however, these are not available to everyone, which is accentuated in women with agricultural occupations. The present study develops a proposal of technologies for mezcalilleras’ sustainability from Oaxaca, Mexico, based on a knowledge management methodology, through the application of questionnaires in face-to-face sessions, field visits, and statistical analysis to explore the imbalances enclosed in the agave–mezcal activity seen as its problems, failures, and barriers, as well as its correlation with the identified technological routes. The results reveal that a technological platform creation, the fabrication of fiber optic refractometer, a metal roof construction, the design of a horizontal distiller–fractionator, the employment of metal containers and production of glass bottles, and the generation of a software and an application, are the suitable technologies, according to the mezcalilleras’ requirements. This proposal can be important for academics, policymakers, and producers who wish to revitalize traditional knowledge of the small-scale sectors in Mexico through new ways of interaction with external agents and customers, new ways of production, and previous years’ production analysis. Full article

Exploring the cohort behavior of local governments in green governance from the perspective of knowledge management can help promote the implementation of new development concepts. This article firstly explains the differentiation logic of local governments’ green governance cohort behavior based on the SECI expansion model. Secondly, by constructing a dynamic evolutionary game model, the conditions for the formation of positive and negative cohorts are analyzed. Finally, corresponding countermeasures are proposed. The results show that under the effect of knowledge management, the explicit and tacit knowledge, such as green governance ability and willingness of local government transform into each other, finally differentiates into four kinds of peer behavior states. Willingness stimulation, learning effect perception, complementary knowledge stock, knowledge synergy income, cooperation value-added income, punishment and reputation loss increase, which promotes local government green governance into a positive-peer state. Knowledge learning effect only exists in the early and middle stages of green governance, while the knowledge spillover effect has a more significant impact in the later stage of green governance; a higher gap between explicit knowledge and tacit knowledge, and a lower level of tacit knowledge and explicit knowledge, are conducive to the formation of positive-peer status. Full article