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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.

This study aims to conduct a bibliometric analysis of knowledge sharing during COVID-19 and highlight prominent contributors, diverse trends and themes followed with provisions of future research avenues.

The study through scientific procedures and rationales for systematic literature reviews framework analyses 148 peer-reviewed journal publications and conference proceedings indexed in Scopus and WoS databases from 2020 to 2022. It uses general statistics and diverse bibliometric techniques, including co-occurrence analysis for trend and cluster identification in the literature.

The findings reveal an exponential annual growth rate of 150% in the domain, highlighting the global research focus. With regards to domain contribution, the Journal of Knowledge Management and China leads with ten publications in their respective categories. The co-occurrence analysis further highlights four diverse clusters in the domain, which are further discussed in detail. The study highlights significant contributions from developed economies, thus providing scope for future research from developing or transitioning economies in the Middle East, Central Asia or Africa. The study concludes by presenting the elementary role of knowledge sharing in response to external crises.

The interest in the knowledge sharing domain has grown exponentially during the COVID-19 pandemic. This research is the first bibliometric analysis with comprehensive and rigorous analytic techniques to unearth critical developments and insights for a holistic understanding.

This study aims to examine the effect of motivating language on employee performance and assesses the mediating roles of organisational citizenship behaviour and employee engagement between motivating language and employee performance in the Indian health-care sector, which is a highly demanding work environment, wherein employee burnout is high.

The study was in the context of COVID-19 pandemic set for health-care workers in India. To collect data and test the proposed research model, 328 questionnaires were respondent by multi-level health-care professionals from private and government hospitals in North India.

The findings suggest that leader’s motivating language is crucial for health-care leaders, inducing employee’s performance in context to patientcare, safety and satisfaction. Underpinning theory of leader member exchange substantiates that the role of leader is pivotal in daily interaction with the stakeholders. Self-determination theory of motivation is determined by psychological needs satisfaction inducing employee engagement and organisational citizenship behaviour, amplified through the leader’s motivating language, resulting into improved patientcare and patient safety. The findings state that leader’s motivating language impacts the high culture context like health-care professionals, as observed in the Indian health-care sector during COVID-19. The findings are indicative of developing non-cognitive personality traits for managerial skills.

The study substantiates the pivotal role of the leader’s communication with stakeholders such as patients/attendants and health-care staff. The findings, which are an indicator of patientcare, as an outcome of patient compliance, will be indicative of developing the non-cognitive skills in the personality traits of managerial skills, inducing patients’ trust in their health-care providers, using motivating language. Therefore, the health-care professionals must be trained in the application of motivating language with stakeholders, namely, patients/attendants and staff.

The findings state that leader’s motivating language impacts on employees of high culture context like health-care professionals, as observed in the Indian health-care sector during the recent global medical emergency of COVID-19, whereas the earlier studies posited leader’s motivating language to be effective on employees with low-cultural context. The role of leader is pivotal in daily interaction with the stakeholders, namely, patients/attendants and health-care staff.

This study aims to test the relationship between virtual knowledge sharing (VKS) and team effectiveness (TE) during the COVID-19 pandemic. The study also explores the moderating role of collaborative technologies.

This is a cross-sectional study conducted in the service sector of India. A purposive sample of 321 knowledge workers from National Capital Region of India was used. Questionnaires were distributed to knowledge workers working in a virtual environment. The hypotheses were tested with confirmatory factor analysis and structural equation modeling (SEM) using partial least square-SEM.

The study reveals that, amid the COVID-19 pandemic, virtual knowledge sharing (VKS) positively affects team effectiveness (TE). Furthermore, the impact of VKS on TE is contingent upon the utilization of collaborative technologies.

The study contributes to the existing literature by exploring the impact of VKS on TE during the COVID-19 pandemic and the importance of collaborative technologies in facilitating virtual team collaboration, which has practical implications for organizations seeking to enhance TE in virtual environments.

Based on the perspective of knowledge management, this study aims to discuss how to build cross-city emergency management collaboration mechanism in major emergencies and explore the important role of knowledge management in emergency management collaboration.

Based on the theoretical analysis of knowledge management and the typical case study of cross-city emergency management collaborative rescue, this study provides an in-depth analysis of how these cities achieve high emergency management performance through multidimensional and multilevel knowledge collaboration, thus revealing the mechanism of knowledge transfer, integration and sharing in achieving high emergency management performance.

Through analyzing typical cases, this study finds that building a smooth mechanism for multichannel emergency rescue information can promote the diversification of knowledge transfer methods, building a platform-based integration mechanism for emergency rescue information can enhance knowledge integration capabilities and building a linkage mechanism for emergency rescue materials between cities can promote knowledge-sharing level, thereby improving emergency management performance level.

This study has great significance for how to build cross-city emergency management collaboration mechanism in the digital era. In the future, the authors need to further discuss the following two aspects in depth: research on the impact of cross-city emergency management collaboration mechanism on improving the knowledge management capabilities of government emergency management departments; and research on the impact mechanism of knowledge management capabilities on city resilience.

Through case analysis of cross-city emergency management collaborative rescue for major emergencies in China in recent years, this study proposes three specific strategies for cross-city emergency management (smooth, integration and linkage mechanisms) and reveals that these three strategies are essentially aimed at improving the government’s knowledge management level.

This study aims to examine the influence of perceived supervisor support (PSS) for strengths use on knowledge sharing (KS) intentions, mediated through work engagement and knowledge self-efficacy, based on the job demand-resources theory and the broaden and build theory.

Structural equation modeling and bootstrap analyses were performed to examine the research model using data derived from a two-wave questionnaire survey of 162 employees from five health-care organizations.

The results indicate that PSS for strengths use promoted KS intentions fully mediated through work engagement and subsequently through knowledge self-efficacy. However, there was no direct relationship between PSS for strengths use and KS intention.

The contribution of this research to the literature on KS is to find the effectiveness of a strengths-based approach in promoting KS intentions across boundaries and identifying mediating factors that link PSS for strengths use to KS intentions.

This study aims to consider the role of emotions, especially those related to empathy, in promoting a more humane education that enables students to reach out across kinship chasms to promote the development of communities predicated on a shared value on mutual respect. This attention to empathy includes a review of the rational basis for much schooling, introduces skepticism about the façade of rational thinking, reviews the emotionally flat character of classrooms, attends to the emotional dimensions of literacy education, argues on behalf of taking emotions into account in developmental theories and links empathic connections with social justice efforts. The study’s main thrust is that empathy is a key emotional quality that does not come naturally or easily to many, yet is important to cultivate if social justice is a goal of education.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The author clicked Essay and Conceptual Paper. Yet the author required to write the research design.

The paper challenges the rational emphasis of schooling and argues for more attention to the ways in which emotions shape thinking.