Assessing the Role of Knowledge Management in Adding Value: Moving Towards a Comprehensive Framework

In Malaysia, there has been an argument that the Knowledge Management (KM) practice especially in construction industry has not been commensurable with its status as a developing country. Hence, an initiative that aims to appraise the KM practice amongst consultant firms working in industry of construction in Malaysia becomes the focal point of this study. This aim is achieved by fulfilling its objectives of delving into the understanding of consultant firms on KM practices and exploring the critical success factors (CSFs) of KM implementation in Malaysia. In this paper, the data is studied on a number of statistical analysis tools, namely descriptive analysis, reliability analysis and relative important index (RII). The results obtained from the questionnaire survey clearly showed that most respondents made a claim that KM enhances the decision making in the organization and KM spurs innovations. Few respondents disagreed with the components of KM practices, indicating that these respondents may not be well aware of the importance of KM. About the top ranking of CSFs for KM practices implementation, it is found that “continuous organization support”, “leadership demonstration by senior staff/management”, “knowledge and sharing cul-ture”, “execution of plan”, and “continuous learning” make the top five factors very vital to the effective execution of KM by the consultant firms in the construction industry.

Purpose The purpose of this study is to advance the understanding of innovation offshoring by integrating knowledge management (KM) practices. It aims to identify how KM contributes to strategic offshoring, sourcing decisions for innovation and the utilization of knowledge-intensive business services. By doing so, it seeks to provide a framework that enhances both theoretical insights and practical applications in the field of innovation offshoring. Design/methodology/approach This study uses a tri-method approach – bibliometric analysis, co-citation analysis and text mining – to examine the intersection of innovation offshoring and KM. Data from Web of Science (WoS), analyzed using Leximancer and Bibexcel, reveal key KM practices, such as absorptive capacity and knowledge-sharing, that enhance offshoring-driven innovation. Integrating KM with global sourcing strategies is shown to manage complexities, lower transaction costs and boost innovation performance. Addressing the limitations of prior single-method studies, this research presents a structured KM-offshoring integration framework, mapping the thematic interconnections between KM practices and global sourcing strategies to enhance innovation performance and cross-border knowledge transfer. Findings This study finds that effective KM practices are crucial for optimizing innovation offshoring strategies. Key KM elements such as internal knowledge creation, absorptive capacity and knowledge-sharing routines significantly enhance innovation outcomes. The integration of KM practices with global sourcing strategies helps firms manage complexities, reduce transaction costs and improve innovation performance by leveraging global talent and resources. Research limitations/implications The study’s reliance on data from the WoS and the Association of Business Schools journal ranking may introduce selection bias, limiting the generalizability of findings. Future research should incorporate additional databases such as Scopus to validate the results. Moreover, the study predominantly uses bibliometric methods, which could benefit from being complemented by qualitative analyses to provide deeper insights into KM practices in innovation offshoring. Practical implications For practitioners, this study underscores the critical role of KM in optimizing innovation offshoring strategies. Effective KM practices enable firms to capture, share and use knowledge efficiently across global operations, mitigating the risks associated with geographical and cognitive distances in offshoring arrangements. Social implications The integration of KM in innovation offshoring has significant social implications. By effectively managing knowledge, firms can contribute to the development of global knowledge economies, promote cross-border collaborations and support the growth of local talent pools. This can lead to increased innovation, economic development and the creation of high-value jobs in emerging markets. Originality/value This study is original in its comprehensive approach to examining the intersection of innovation offshoring and KM. It provides valuable insights into how KM practices can enhance innovation performance in global sourcing contexts. The findings contribute to both academic literature and practical applications, offering a nuanced understanding of the strategic role of KM in innovation offshoring.

Background: State-owned enterprises (SOEs) in South Africa face a serious challenge of knowledge loss caused largely by resignations, the ageing workforce and a lack of knowledge management (KM) practices. Objective: This article explores KM practices in the South African SOEs to mitigate the risks inherent in tacit knowledge loss. Methods: The study adopted a mixed methods research strategy using an exploratory sequential design to identify KM practices and their effectiveness in addressing the issue of tacit knowledge loss. The qualitative data was collected through the interviews and document analysis of 2018 annual reports in nine SOEs across five market sectors. A survey questionnaire was distributed to 585 respondents, with a 25% response rate (145) for quantitative data in three SOEs. Results: The results revealed that the majority of the SOEs lacked KM practices in their structures. The lack of KM practices implies that the SOEs are lagging behind in knowledge protective capacities to mitigate the risks inherent in the organisational tacit knowledge loss. With many South African SOEs, facing all these sorts of knowledge loss risks and a lack of KM practices to mitigate them, achieving the objectives of a developmental state remains a far-fetched idea. Conclusion: The absence of KM practices negatively affected knowledge transfer and retention in most of the SOEs. A lack of KM practices will negatively affect their performance and their sustainability to deliver on their developmental mandate. Investment in KM practices will assist SOEs to mitigate the risks associated with loss of organisational tacit knowledge.

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

India has witnessed a surge in knowledge management (KM) practices over the past decade but these practices vary from business to business. Recording these practices is important as it provides multiple benefits to the business and inputs for the KM implementation process. Developing a scale to measure KM is relevant both for service and manufacturing sector. A literature review was done to conduct an in-depth analysis of the existing scales followed by instrument development and data collection from 320 employees from eight listed enterprises. Confirmatory factor analysis (CFA) has been used for validating the scale. The first outcome of the study is the standardised scale which can be used to record KM practices in both manufacturing and service sector. The second is the identification of important KM practices in business - knowledge acquisition, documentation, creation, transfer and knowledge application.

PurposeThis study aims to identify the key contributing factors of knowledge management (KM) practices with respect to an employee benefit. The research is designed to gain insight into the KM practices of Indian information technology (IT) firms and evaluate its effects on employee perceived benefit (EPB) and employee satisfaction (ES).Design/methodology/approachThis study focuses on the cause and effect relationship between the variables. In this research study, a structured questionnaire is administered and accumulated responses from executives, software developers and knowledge managers from five IT firms with the help of google form. The sample size was 339 for this study. Confirmatory factor analysis and partial least square (PLS)-structural equation modeling have been used to analyze the data with the help of SMART-PLS software.FindingsThe well-fitted model describes the importance of KM practices with respect to increasing employee benefit and satisfaction. The hypothesized model is empirically investigated and it is also supported by the analysis. The KM practices have significant effects on EPBs. Employee benefits have a significant effect on ES. The result shows that the benefits of KM practices are more intended toward the sources of motivation where they can increase their capability with the help of KM practices.Research limitations/implicationsBenefit leads to the motivation and satisfaction of employees. The work itself can be a highly motivating dimension with the help of proper KM practices. The managers’ prime responsibility is to focus on collaborative work with regularizing the exchange of knowledge, where new knowledge can be created and, do better for the organization.Originality/valueThis research study offers a new direction of motivation to work. The employee can be highly motivated if he can be benefited from the work itself. This study gives an approach to satisfy the employee with the help of KM practices. Perceived benefit is considered as an essential element for this study.

<p>This research seeks to explore the characteristics, organisational culture and current knowledge management (KM) practice in a community enterprise (CE). Prae Pun - a hand weaving CE in the northeast rural area of Thailand - has typical CE characteristics - self-employed and collaborative management, and a home-based production system utilising local resources and knowledge. This research used a qualitative method. Data were collected through narrative inquiry, participant observation and document analysis. The 18 respondents were Prae Pun members, committee members, an advisory committee member and office staff members. The data were analysed through theme analysis. The findings of this research reveal that, although community members would not be aware of doing so, Prae Pun managed its knowledge through informal educational activities - learning by doing and observation - and work processes concerned with collaboration and informality. The current KM practice of Prae Pun entails three processes: basic skill development, competence building and new knowledge creation through creation, capture, sharing, transferring, verification, utilisation and codification. Significantly for this study, KM of Prae Pun focuses on organisational knowledge creation and indigenous knowledge systems. The current KM of Prae Pun also has four other components. Its knowledge resources come from members, other villagers, other hand weaving groups, support organisations and markets. Most of the knowledge is tacit and indigenous. The operation and management systems determine the knowledge processes and provide supportive and incentive systems. The organisational culture and resources, including funding, social capital and appropriate technologies, also provide supportive and incentive systems. The resources are also the tools that facilitate the knowledge processes. The knowledge assets encompass actual assets - products, cloth designs, techniques, and operation and management systems - and competencies including members' skills and abilities, social capital, and shared values, which are not registered as intellectual properties but are in the forms of organisational memories. The traditional KM practice of Prae Pun can be possibly strengthened by integrating modern KM concepts, including knowledge resources from academic and government agencies, appropriate technologies to facilitate knowledge codification and knowledge transfer, extrinsic reward and incentive systems, and facilitators or consultants to enhance members' communities of practice (CoPs). The findings of this study and the KM model contribute to both CE development and further research on KM in a CE context and indigenous KM.</p>

In the present dynamic and knowledge-driven business environment, Knowledge Management (KM) has emerged as a critical factor for enhancing organizational performance, fostering innovation, and ensuring long-term sustainability. Organizations increasingly rely on effective KM practices to systematically create, store, share, and apply knowledge, thereby improving decision-making processes, strengthening collaboration, and achieving strategic objectives. KM serves as a catalyst for managing intellectual assets and transforming them into valuable organizational outcomes, contributing significantly to competitiveness and growth . Despite its growing importance, the implementation of effective KM practices remains a significant challenge across organizations. Various barriers such as cultural resistance, technological limitations, lack of resources, and inadequate organizational support hinder the successful adoption of KM systems. Cultural dimensions, including organizational hierarchy, power distance, and communication patterns, play a crucial role in influencing knowledge-sharing behavior and the overall effectiveness of KM practices. In many cases, rigid organizational structures and resistance to change restrict open communication and limit the free flow of knowledge within organizations . Furthermore, the increasing emphasis on sustainability and digital transformation has highlighted the need for robust and adaptive KM frameworks. Emerging concepts such as Green Knowledge Management (GKM) emphasize the role of KM in achieving environmental, social, and economic sustainability. Organizations are increasingly integrating KM practices with sustainability goals to promote resource efficiency, environmental responsibility, and long-term development. At the same time, advancements in digital technologies, including artificial intelligence (AI), data analytics, and information systems, are transforming traditional KM processes by enhancing knowledge creation, storage, and dissemination capabilities . Although significant progress has been made in KM research, several gaps still exist in understanding its application across diverse organizational and industrial contexts. Existing KM frameworks often fail to adequately address cultural and contextual differences, which are critical for successful implementation. Moreover, while KM has been extensively studied in large organizations, its application in small and medium-sized enterprises (SMEs) remains relatively underexplored. SMEs face unique challenges such as limited resources, lack of structured KM systems, and informal management practices, which affect the effectiveness of KM initiatives . In addition, there is a need for more empirical and longitudinal studies to evaluate the long-term impact of KM practices on organizational performance, innovation, and sustainability. Many existing studies are conceptual in nature and lack practical validation across different industries and cultural settings. The integration of KM with emerging technologies and its role in supporting innovation and decision-making processes also require further exploration . This study adopts a literature review-based approach to examine the current landscape of Knowledge Management research, with a focus on its interrelationship with culture, innovation, and sustainability. By synthesizing findings from various studies, the research aims to provide a comprehensive understanding of KM practices, identify key challenges and research gaps, and suggest directions for future research. The study contributes to the existing body of knowledge by highlighting the importance of context-specific KM frameworks and the need for integrating technological, cultural, and sustainability dimensions in KM practices.

PurposeThe purpose of this paper is to report the results of an exploratory investigation of the organizational impact of knowledge management (KM).Design/methodology/approachA search of the literature revealed 12 KM practices whose performance impact was assessed via a survey of business organizations.FindingsKM practices were found to be directly related to organizational performance which, in turn, was directly related to financial performance. There was no direct relationship found between KM practices and financial performance. A different set of KM practices was associated with each value discipline (i.e. customer intimacy, product development and operational excellence). A gap exists between the KM practices that firms believe to be important and those that were directly related to organizational performance.Research limitations/implicationsThe majority of the research constructs were formative, thus improving the measurement of KM practices will prove vital for validating and extending these findings. The findings were based solely on organizations from North America and Australia and may not reflect KM practices in other geographic, economic or cultural settings.Practical implicationsThis study encourages practitioners to focus their KM initiatives on specific intermediate performance outcomes.Originality/valueThe paper examines the relationship between KM practices and performance outcomes. It was expected that a direct relationship between KM practices and organizational performance would be observed. It was also expected that organizational performance would mediate the relationship between KM practices and financial performance. These expectations were supported. KM practices showed a direct relationship with intermediate measures of organizational performance, and organizational performance showed a significant and direct relationship to financial performance. There was no significant relationship found between KM practices and financial performance.

PurposeIn order to make knowledge management (KM) successful, the most important aspect is to nurture an appropriate organizational culture. Furthermore, many studies indicate that hierarchical cultures can significantly hinder the success of KM activities. The purpose of this paper, therefore, based on the antecedents of hierarchical culture, is to utilize four activities of knowledge conversion to explore the impact of hierarchical culture on the effectiveness of KM processes.Design/methodology/approachIn order to understand the influences of hierarchical culture on knowledge conversion and KM processes, both qualitative and quantitative techniques were used to analyze the data. A case study of two large companies included interviews with several senior managers. A survey questionnaire was also administered to senior managers in 31 Taiwanese companies that had hierarchical cultures.FindingsThrough interpretative case studies and questionnaire analyses, the research finds that a hierarchical culture influences KM practices and can act as a mediator for knowledge conversion and KM processes. For instance, developing a hierarchical culture will be suitable for combination and externalization. Moreover, it would be beneficial to the implementation of KM. In contrast, it would not be helpful for socialization and internalization. In addition, it would not be beneficial to KM strategy and planning.Research limitations/implicationsThe results need to be validated with a robust survey.Practical implicationsThe conceptual framework provides a convenient way to illustrate the effects of hierarchical culture on knowledge conversion and KM processes. Enterprises can make corrections and adjustments accordingly to enhance the effectiveness and efficiency of implementing KM through the appropriate organizational culture.Originality/valueThe paper proposes a conceptual framework to illustrate the influences of hierarchical culture on knowledge conversion and KM processes in Taiwanese organizations.

This paper aims at highlighting technological dimensions for knowledge management (KM) practices in firms with the review of the potential conception of activities adopted by organizations to utilize the knowledge resources. The study systematically reviews the literatures available on KM practices with excluding articles based on keywords, abstracts, and full text. KM practices were incorporated in Heisig’s (J Knowl Manage 13(4):4–31, 2009 [1]) categorization format of human, technology, organization, and management process-oriented practices. The findings described that learning and sharing attitude in human are effectively directing adoption of technological tools for KM in firms. Top management support and strategy are also key KM practices supporting technology usage. In terms of originality and value, the paper reviews all the latest technologies and their integration for supporting KM in firms. The study promotes for faster and accurate business ideas with the accumulation of advanced technological tools for knowledge storing, sharing, and application. The famous Nonaka and Takeuchi (The knowledge-creating company—how Japanese companies create the dynamics of innovation. Oxford University Press, New York/Oxford, 1995 [2]) KM Model is adopted to integrate the technology and KM practices.KeywordsKnowledge managementKnowledge management practicesManagement processInformation and communication technology

There is an exclusive chance for university libraries to contribute to the future reimagining of library services. In this regard, the job of KM might be extremely successful. As a result, university libraries may provide excellent user services by utilizing KM. This research is to explore the existing models of Knowledge Management (KM) and how the existing models of KM are implemented at university libraries, to recognize how KM is being implemented at university libraries as reported in earlier research, and the benefits of KM practices for creating service value for libraries. This research was performed following the “Preferred reporting items for systematic reviews and meta-analyses (PRISMA)” guidelines. The study found that a skilled workforce and expertise are required for effective KM implementation in university libraries. Outdated skills may serve as a starting point for KM in university libraries, but they are insufficient for providing service-based value. There is a need for Library and Information Science (LIS) professionals to develop additional competencies for KM practice in university libraries. Based on the findings and discussion, it can be concluded that all the authors have recognized the importance of KM in libraries. This finding would aid the university libraries and offer current KM knowledge to other libraries. Therefore, this research would be an excellent addition to the application of KM in university libraries.

This study aims to examine the influence of Knowledge Management (KM), Talent Management (TM), and Transformational Leadership (TL) on the performance of higher education institutions in Makassar, Indonesia, emphasizing the role of TL as a mediator between KM and TM and institutional performance. This quantitative study involved 325 lecturers from various universities in Makassar. Data were analyzed using Structural Equation Modeling (SEM) to assess the relationship between KM, TM, TL, and lecturer performance. The results showed that KM and TM have a significant positive influence on performance, both directly and through the mediation of TL. KM positively affects TL, and these two variables, along with TM, contribute significantly to performance improvement. However, the interaction between KM and TL did not show a significant moderating effect on performance, indicating that the direct influence of KM and TM is more dominant in this context. This study confirms the importance of the integration of KM and TM in improving the performance of higher education institutions and demonstrates the strategic role of TL in maximizing the effectiveness of these management strategies. The findings suggest that effective leadership can enhance the implementation of KM and TM, which overall improves organizational performance. The practical implications of this study are highly relevant for policy makers and university administrators in Makassar to develop and implement strategies that integrate effective KM and TM practices, directed by transformational leadership. Further research is recommended to use a longitudinal design to validate the findings and understand the dynamics of this relationship over time.

PurposeThe food industry is crucial in delivering healthy products for life saving of the society. The identification of key barriers of knowledge management (KM) is desired to enhance the sustainability of the industry. KM has been seen as a part of sustainable development by reducing the bullwhip effect in the entire supply chain. The core objective of the existing research is to prioritize the essential factors of KM adoption in sustainable supply chain (SSC) based on fuzzy analytical hierarchy process (FAHP) method.Design/methodology/approachIn order to fulfill objectives of this study, an extensive review of literature and a questionnaire-based field visits were conducted. A total of five major barriers categories and 22 sub-barriers categories were identified in food sector of Pakistan using experts' inputs. This study employed fuzzy analytical hierarchy process (FAHP).FindingsManagerial barriers, innovation and technological barriers categories are found to be highly prioritized among others. Further, the sensitivity analysis is applied to check the incremental changes of ranked barriers. This prioritization of barriers and incremental changes in them is expected to serve food sector for long-term sustainability and competitive advantage for importers and exporters. Finally, the findings of this research are very helpful for industrial experts, practitioners, consultants and government officials in effectively developing policies regarding KM adoption in line with sustainable goals.Research limitations/implicationsThe present work is conducted in the Pakistani context; however, the benchmark model may be tested and applied to other developing countries to compare the outcomes. For further research, the identified barriers may also be evaluated to establish their inter-relationships, using ISM, DEMATEL, ANP, etc. Similarly, the results of this study can also be compared with that of other fuzzy multi-criteria techniques like fuzzy TOPSIS, fuzzy VIKOR, fuzzy ELECTRE, fuzzy PROMETHEE, or fuzzy VIKOR.Practical implicationsThis research study can facilitate policymakers, government bodies, stakeholders and supply chain professionals to recognize the key barriers they may encounter in adopting KM practices in their SSC. Additionally, this work helps managers to evaluate the identified barriers by computing their relative importance in adopting KM practices at managerial levels like strategically, tactically and operationally activities in business. This study also facilitates industrial management in formulating policies and action plans in case of implementation, eliminating the barriers in adoption of KM, and SSC successfully.Originality/valueFew research studies were conducted on KM adoption in industries of China, India, Turkey, Saudi Arabia and Malaysia, but due to workforce diversity these industries have dissimilar views of experts about KM adoption. This study significantly contributed to fill the existing literature gap for prioritization of key barriers against KM implementation in Pakistani context.

Aim/Purpose: Despite rapid digitalisation transforming Asian higher education, knowledge management (KM) implementation remains paradoxically fragmented across the region’s diverse institutional landscapes, creating critical theoretical and practical gaps that require systematic investigation. Background: This scoping review addresses these gaps by examining KM practices in Asian universities through a novel multi-dimensional analytical framework encompassing disciplines, practices, aspects, and stakeholder dynamics. Methodology: Following the PRISMA-ScR guidelines, we systematically reviewed 29 peer-reviewed studies (2009–2025) from Scopus and Google Scholar across nine Asian countries, highlighting both the field’s limited empirical base and emerging contours through thematic coding across four dimensions. Contribution: The study’s primary theoretical contribution is a hybrid ‘technology-mediated personalisation’ approach. This concept recontextualises Nonaka’s SECI model (a framework for converting tacit and explicit knowledge) and challenges existing KM strategy typologies. Furthermore, this paper presents the first multi-dimensional scoping review of KM practices across diverse Asian higher education contexts. Findings: Knowledge utilisation dominates practice (48% of studies), contradicting Western literature’s emphasis on knowledge creation. Institutional management applications significantly outweigh pedagogical implementations. Robust multi-stakeholder ecosystems emerge, involving faculty, administrators, and students; yet, university-industry collaboration remains severely underdeveloped. Policy-driven implementation prevails over organic knowledge communities, reflecting distinct cultural adaptations. Recommendations for Practitioners: Institutions should develop integrated KM frameworks balancing policy-driven governance with collaborative knowledge communities, invest in technology platforms supporting multiple KM processes, and strengthen university-industry knowledge transfer mechanisms. Recommendation for Researchers: Future research should focus on developing education-specific KM theoretical frameworks, conducting cross-cultural comparative studies, and investigating emerging AI-enhanced knowledge management technologies in academic contexts. Impact on Society: Enhanced KM practices will improve educational effectiveness, foster innovation ecosystems, and strengthen knowledge-based economic development across Asia’s rapidly evolving higher education landscape. Future Research: Critical priorities include longitudinal studies that track the evolution of KM systems, cross-cultural comparative frameworks, research on technology-enhanced knowledge creation, and sustainable university-industry collaboration models.