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This paper investigates the relationships between responsible leadership and employees' knowledge sharing behavior and performance in the healthcare sector. The present study provides deeper insights into those relationships by uncovering the mechanisms through which relational and ethical dimensions of responsible leadership influence knowledge sharing outcomes. Drawing on the social exchange theory, this study examines the mediating role of trust in the leader and leadership support.

Data were collected from 445 healthcare professionals in Pakistan. Structural equation modeling was employed to analyze the data.

The study findings revealed that responsible leaders enhance knowledge worker performance and knowledge sharing behavior through enhancing trusting relationships with followers and providing support. Furthermore, the authors investigated the moderating role of goal orientation, and the results showed that the effect of responsible leadership on knowledge worker performance was stronger for highly goal-oriented employees.

This research suggests that human resource managers interested in fostering knowledge sharing behaviors, must focus on cultivating responsible leadership behavior within their organizations. Furthermore, this study findings propose that HRM practices should foster employee goal orientation in order to enhance knowledge workers' performance.

This study makes a novel contribution to the literature by shifting the research focus from the traditional view of leadership to a leadership style more responsive to the reciprocity nature of the relationships between employees and leaders. By shifting the focus to a relational-ethical based leadership style, the current study was able to fully uncover the underlying mechanisms linking responsible leadership to knowledge sharing outcomes.

The purpose of this paper is to manage knowledge pertaining to micro, small and medium enterprise (MSME) actors in the business, agriculture and industry sectors. This study uses text mining techniques, specifically Latent Dirichlet Allocation Mallet, to analyze the data obtained from the in-depth interviews. This analysis helps us identify and understand the issues faced by these actors.

In this study, the authors use big data and business analytics to recalculate the MSME business vulnerability index in 503 districts and 34 provinces across Indonesia. Subsequently, the authors conduct in-depth interviews with MSME actors in Medan, Central Java, Yogyakarta, Bali and Manokwari, West Papua. Through these interviews, the authors explore their strategies for surviving the COVID-19 pandemic and the extent of their digital literacy, and the application of technology to maximize sales and business outcomes.

The findings reveal that, for the sustainable growth of MSMEs during and after the pandemic, collaboration across the Penta-Helix framework is essential. This collaboration enables the development of practical solutions for the challenges posed by COVID-19, particularly in the context of the “new normal.” In addition, the authors’ survey of MSMEs involved in agriculture, trade and processing sectors demonstrates that 58.33% experienced a decrease in income during the pandemic and 12.66% reported an increase in revenue. In contrast, 25% experienced no change in income before and during the pandemic.

This research contributes significantly by offering comprehensive insights obtained from in-depth surveys conducted with MSMEs across multiple sectors. The findings underscore the importance of addressing the challenges MSMEs face and highlight the need for collaboration within the Penta-Helix framework to foster their resilience and success amidst the COVID-19 pandemic.