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The purpose of this paper is to examine the interdependent relationship between knowledge management and the academic performance of faculty members in higher educational institutions (HEIs) in Nepal.

This study applied survey research to identify the interdependencies between knowledge management and academic performance in the context of HEIs. The data were collected from the 445-academic staff of four different universities of Nepal by using the self-constructed questionnaire, using Delphi methods. Factor analysis was applied to identify the dimensions of knowledge management and academic performance and canonical correlation analysis was applied to examine the interdependent relationship between dimensions of knowledge management and academic performance.

The factor analysis explored the following seven dimensions of knowledge management: knowledge utilization, acquisition, generation, dissemination, transfer, creation and presentation and four dimensions of academic performance as research and publication, innovation, interactive learning and capacity building. The analysis of canonical correlation showed the interdependent relationship between knowledge utilization, acquisition, generation and dissemination with research, publication and capacity building; knowledge creation with innovation; and knowledge transfer and presentation with interactive learning.

This study was carried out based on the day-to-day practices and perceptions of the faculty members of four different universities in Nepal. The changing context of global practices in academia, organizational structure and thoughts of faculty members are changing rapidly. It demands the practical aspects of transferring tacit knowledge to explicit one to enhance intellectual capital of individual.

In a country such as Nepal, the concept of knowledge management is in an emerging stage and has been applied to some financial institutions so far. In this context, this paper presents a study that was carried out to explore the interdependence of knowledge management practices in HEIs to enhance academic activities and discourses. The knowledge management further strengthen the intellectual capital of individual and institution and impacts on overall development of knowledge economy of nation.

The research aims to provide a nuanced understanding of the complex social, psychological and organizational factors that serve as the foundation driving academics' knowledge-sharing behavior (KSB) within an academic enclave.

A cross-sectional research design using the partial least squares structural equation modeling (PLS-SEM) approach was employed to examine the determinants of personality traits among tertiary academics in Malaysia in relation to their KSB. To this end, a self-administered survey was distributed to a sample group of 526 respondents.

It is evident that conscientiousness and agreeableness are the personality traits that play a significant role in promoting KSB among academics in higher learning institutions (HLIs). These personality traits are positively linked with academics' willingness to transfer and receive knowledge. In contrast, the personality trait of openness to experience does not significantly influence KSB.

This study has employed a four-item measurement for evaluating the three distinct personality traits. Despite employing a brief measurement tool, the study has demonstrated significant reliability and validity, particularly in terms of convergent and discriminant validity.

The present study has revealed that conscientiousness in academics is intimately linked with their KSB, which is of paramount importance in the output-based education system. Notably, agreeableness among academics also conveys a positive effect on knowledge sharing (KS) in HLIs, as it cultivates trust and helpfulness among individuals and facilitates the exchange of valuable tacit knowledge.

This research explores the relationship between personality traits and KSB among Malaysian academics in HLIs. The study adopts the theories of planned behavior (TPB) and social capital theory (SCT) as theoretical ground, providing a nuanced understanding of the underlying motivations and mechanisms driving academics' knowledge-sharing behavior within the unique socio-cultural context of Southeast Asia.

Introduction: Numerous decision-making situations are faced in education where Artificial Intelligence may be prevalent as a decision-making support tool to capture streams of learners’ behaviours.

Purpose: The purpose of the present study is to understand the role of AI in student performance assessment and explore the future role of AI in educational performance assessment.

Scope: The study tries to understand the adaptability of AI in the education sector for supporting the educator in automating assessment. It supports the educator to concentrate on core teaching-learning activities.

Objectives: To understand the AI adaption for educational assessment, the positives and negatives of confidential data collections, and challenges for implementation from the view of various stakeholders.

Methodology: The study is conceptual, and information has been collected from sources comprised of expert interactions, research publications, survey and Industry reports.

Findings: The use of AI in student performance assessment has helped in early predictions for the activities to be adopted by educators. Results of AI evaluations give the data that may be combined and understood to create visuals.

Research Implications: AI-based analytics helps in fast decision-making and adapting the teaching curriculum’s fast-changing industry needs. Students’ abilities, such as participation and resilience, and qualities, such as confidence and drive, may be appraised using AI assessment systems.

Theoretical Implication: Artificial intelligence-based evaluation gives instructors, students, and parents a continuous opinion on how students learn, the help they require, and their progress towards their learning objectives.

This study aims to identify various factors that have driven the knowledge transfer process for succession purposes in family business since the 1920s and discuss their implications for advancing effective succession planning in this business sector for the next 100 years.

The paper reviews and synthesizes current research on knowledge transfer drivers in family business from 1923 to 2023 and draws out future perspectives on what will influence the knowledge-transferring process in the next 100 years.

Trust, organizational culture and environmental factors such as the need to create competitive advantages, technological advancement and new sources of knowledge have been identified as the most prominent drivers of knowledge transfer for effective succession in family business throughout the 1920–2020s. In the future, the ability to create value, the internationalization process and business innovations will play an essential role in knowledge-sharing among family and non-family members during succession.

The paper provides a review of past development and a future perspective on factors enhancing the effectiveness of knowledge transfer for succession in family firms.

The purpose of this study is to empirically examine knowledge management (KM) practices as a moderator in the relationship between organizational culture and performance. The effect of four types of organizational culture on organizational performance was studied. In addition to direct effects, most importantly, KM practices as a moderator in strengthening the culture-performance relationship were empirically examined.

A carefully crafted survey instrument was distributed and data was collected from 1,255 respondents from 10 information technology companies in India. After checking the psychometric properties of the instrument, this paper performs hierarchical regression to test hypotheses.

The results reveal that: cooperative culture, innovative culture, consistent culture and effectiveness culture were all positively and significantly related to organizational performance; KM practices were positively and significantly related to organizational performance, KM practices moderate the relationship between various dimensions of organizational culture and organizational performance.

As with any survey-based research, the present study suffers from the problems associated with self-report measures. These are common method bias and social desirability bias. However, this study attempts to minimize these limitations by following appropriate statistical techniques.

This study contributes to both practicing managers and the literature on KM and organizational culture. The study suggests that managers use KM practices, which are all-pervasive and very important for improving organizational performance. The results highlight the importance of implementing KM practices in organizations.

This study provides new insights into the importance of KM practices in achieving sustained competitive advantage by achieving organizational effectiveness. To the knowledge, the importance of KM practices is underemphasized in organizational culture research.

This study aims to develop an original conceptual framework to guide research into knowledge transmission between professional external knowledge providers and their business clientele. As such, the framework aims to bridge a gap between theory and practice by explicating the processes which affect knowledge transmission and the conversion of knowledge for business application (i.e. knowledge transference).

Key concepts from disciplines of knowledge management, information management, communications, services marketing and business advice are reviewed and integrated into the development of this framework. Underpinned by a critical realist philosophical lens, it provides a robust research guide for examining business advisor knowledge actions in a changing open environment.

This study identifies that the process of knowledge transmission from a source external to a business is more complex than internal knowledge sharing. It addresses this complexity through a knowledge transmission framework, in a research design that is applicable to any methodological paradigm. Real-world application is identified in its applicability for evaluating mechanisms to facilitate knowledge transmission practices of external advisors to small business in regionally isolated communities.

The critical realist research methodology allows for causality in knowledge transmission to emerge; however, no assertion is made that the conceptual framework developed needs any particular philosophical paradigm for its application. Instead, what is asserted is that the research framework developed in this paper is specifically suited to the characteristics of external knowledge providers, their tacit knowledge and the businesses they service.

This study reconceptualises various theoretical perspectives and develops a sequential process for addressing a research lacuna by specifically examining the processes (or connections) between external business advisor’s knowledge and their advisory actions. With these processes clearly established, the role of external knowledge providers, as knowledge transmitters, deepens the understanding of knowledge transference that up until now has focused typically on internal organisation aspects.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Sustainable tourism will be an appropriate strategy to be promoted during the post COVID-19 pandemic, as this is a turning point for the tourism industry to grab the unique chance to have a true reset by focussing on achieving long-term sustainability and a shift from a ‘me to we’ economy. To support sustainable tourism and foster future success in the tourism industry, the process of integrating green knowledge and knowledge management can begin with entrepreneurial education in higher education institutions (HEIs). However, empirical research on university students' green entrepreneurial intention in sustainable tourism has not been exhaustively studied. Additionally, there is a need to further explore knowledge management process and entrepreneurial learning in HEIs. Hence, the aim of this study is to analyze knowledge management as a technique to explore the green entrepreneurial intention of students in HEIs in sustaining Malaysia's tourism post COVID-19 pandemic. Exploratory research with quantitative analysis was conducted through partial least squares structural equation modelling (PLS-SEM). The findings reveal that there is a positive and significant relationship between green entrepreneurial knowledge and green entrepreneurial intention in sustainable tourism among university business students. Additionally, knowledge revision and conceptual change positively and significantly influence green entrepreneurial knowledge and green entrepreneurial intention in sustainable tourism. However, knowledge application has no impact on green entrepreneurial knowledge and green entrepreneurial intention. The results of this study also reveal that green entrepreneurial knowledge does not have a mediation effect on green entrepreneurial intention. The present work contributes by going beyond the study of entrepreneurial intention, as the research focusses on interconnection among these three major areas: knowledge management, sustainable tourism, and entrepreneurship education post COVID-19 pandemic. Hence, the combination of these diverse aspects in this study provides insights to educators and policy makers to investigate the importance of green entrepreneurial knowledge and benefits of knowledge management that can be integrated into entrepreneurship education for current and future sustainable tourism development.