Predicting the Reward System of Knowledge Sharing in the Industrialized Engineering Sector Based on Regulatory Mechanisms


Purpose
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.


Design/methodology/approach
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.


Findings
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.


Originality/value
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.


Knowledge sharing in the era of Covid-19: a bibliometric analysis using scopus and web-of-science (WoS)

In the context of Disease X risks, how governments and public health authorities make policy choices in response to potential epidemics has become a topic of increasing concern. The tightness of epidemic prevention policies is related to the effectiveness of the implementation of measures, while the organizational cognition of epidemic risks is related to the rationality of policy choices. During the three years of COVID-19, the Chinese government constantly adjusted the tightness of its prevention policies as awareness of the epidemic risk improved. Therefore, based on the epidemic risk organizational cognition model, the key nodes that affect the tightness of epidemic prevention policies can be explored to find the organizational behavior rules behind the selection of prevention policies. Firstly, through observing the adjustments made to the Chinese government’s prevention strategies during the epidemic, a time-series cross-case comparative analysis reveals how policy tightness shifted from stringent to lenient. This shift coincided with the organizational cognition of epidemic risk evolving from vague to clear. Secondly, by building the “knowledge-cognition” coordinate system to draw the organizational cognition spiral of epidemic risk, it is clear that the changes in the tightness of the prevention policies mainly came from the internalization and externalization of knowledge such as epidemic risk characteristics to promote the level of organizational cognition, which is manifested as expansion and deepening. Thirdly, the node changes in the interaction between organizational cognition development and policy choice proved that different stages of the epidemic had diverse environmental parameters. Moreover, as the epidemic nears its end, the focus of policy tightness is shifting from policy objectives to policy implementation around governance tools. The results indicate that organizational cognition of epidemic risk exhibits significant stages and periodicity. Additionally, epidemic risk characteristics, environmental coupling, and governance tools are crucial factors in determining the tightness of epidemic prevention policies.

Tight or Loose: Analysis of the Organization Cognition Process of Epidemic Risk and Policy Selection

ABSTRACT This paper enhances the existing teaching innovation literature in international business (IB) courses. The pedagogical literature in teaching IB courses focuses on one or two specific topics in the course. This present study focuses on a holistic approach to IB teaching innovation using the SECI and Ba framework. The post-pandemic challenges in knowledge creation in IB classes were addressed in this study. The SECI and Ba model was a proven framework for knowledge creation at organizations. The usage of SECI in higher education is found to be very limited. This study attempted to understand how to design a learning environment for IB courses to improve the knowledge creation using the SECI approach and to measure the outcomes specific to the twenty-first-century workplace skills. A series of innovative SECI activities were identified and mapped to specific course learning outcomes. The study used a mixed-methods approach, and relevant data for the study were collected using both qualitative and quantitative methods. The results of both subjective and objective data measures indicate that the intervention used through SECI and Ba improved the students’ learning capabilities and facilitated the acquisition of twenty-first-century workplace skills.

A Spiral Approach of Knowledge Creation in International Business Course Using SECI and “Ba” Model

Knowledge management (KM) is a complicated process that involves socialization, externalization, combination, and internalization and requires close collaboration among the people involved. Althoug...

Achieving structured knowledge management with a novel online group decision support system

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Achieving structured knowledge management with a novel online group decision support system