Search results

The purpose of the current study is to investigate the impact of collective knowledge on individual research competence. Further, the study investigates the mediation effect of the knowledge management process (KMP).

The cross-sectional study adopts a quantitative conclusive research design. The study collects data specifically from academicians of Uttarakhand higher education institutions (HEIs). The study uses random sampling because the list of faculty members is uploaded on the website of the university portal. The author directly sends the questionnaire to the email of the respondents and uses social media platforms. For the data analysis, the study used SMART-PLS 4.0.

The findings of the study reveal that KM infrastructure (KMI) and KM strategy directly impact KMP. The study also reveals that the KMP significantly impacts individual research competence. The current study also finds partial mediation support among KMI, KMP and individual research competence, and between KM strategy, KMP and individual research competence.

The current study uses a cross-sectional research design, future studies may include the longitudinal design to measure the effect of KM elements on individual research competence. The current study includes the data from the Uttarakhand region only, and it is difficult to generalize the results specifically to other states.

The study emphasizes the importance of KM system development, a supportive KMI and a balanced KM strategy in HEIs.

Investigating collective knowledge’s impact on individual research competence, this study unveils mediation in KMP. Future research can broaden horizons by using the model.

This study aims to examine the collective impact of awareness and knowledge about fake news, attitudes toward news verification, perceived behavioral control, subjective norms, fear of missing out (FoMO) and sadism on social media users’ intention to verify news before sharing on social media.

The current study’s conceptual framework is developed by a comprehensive literature review on social networking and the theory of planned behavior. The data for samples were collected from 400 respondents in India to test the conceptual framework using the partial least square–structural equation modeling technique.

The results show that awareness and knowledge, perceived behavioral control, attitudes toward news verification and FoMO are significant predictors of intention to verify news before sharing.

The present study concludes implications for managers of social media companies and policy actors that want to take steps toward arresting the spread of fake news via social media.

Academic investigation on fake news sharing on social media has recently gained traction. The current work is unique because it uses the theory of planned behavior as a basis for predicting social media user’s intention to verify news before sharing on social media.