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Pre-pandemic research demonstrated the challenges of the nursing workforce and the provision of quality of patient care. Such challenges have been significantly intensified during the COVID-19 pandemic, not least in the workplace and fear of staff catching and transmitting COVID-19. We draw on conservation of resources (COR) theory to examine the impact of the fear of COVID-19 on nurses and the role of well-being-HRM (WBHRM) in negating the fear of COVID-19 and its impact on job stress and perceived quality of patient care.

We collected data from 260 nurses (treating COVID-19 patients) employed in US hospitals across two-waves. Data were analyzed using mediated regression and moderated mediation.

The results indicated that when nurses report higher levels of fear of COVID-19, this translates into higher levels of nursing job stress. This, in turn, reduces nurses’ perceptions of quality of patient care they can provide. As previous research has found, decreased perceptions of quality of patient care is a significant factor driving intentions to leave the profession. The results demonstrated that WBHRM practices buffer the negative impact of fear of COVID-19 on job stress, and in turn, the perceived quality of patient care.

Our paper contributes to new knowledge for healthcare managers on WBHRM bundles and their efficacy in buffering the effects of fear on job stress and quality of patient care. We contribute new knowledge on fear at work and how to manage employees’ fear through WBHRM practices.

This study aims to adopt text mining to discover emerging topics in librarianship and information science research in the last decade. Based on the number of citations obtained during the previous 10 years, the authors selected emerging topics in this study and evaluated the strength of their presence. Additionally, the authors determined if the trend was substantial over time and identified the active topics in library and information science (LIS) through the past 10 years.

All library and medical information studies were retrieved by the WC = “Information Science & Library Science” tag in the Web of Science. Python programming was used for data analysis. The topics were identified by combining the unsupervised deep learning algorithms TOP2VEC and the term frequency-inverse document frequency and also the Mann–Kendall trend test is used to determine whether the trend was significant over time.

Following text mining, the total data from 2012 to 2021 was 63,712. Eleven main topics were also extracted: academic education of LIS, acquisition and collection development, publishing articles, cataloging and classification, journalism, knowledge management, infometrics, social media, university ranking, information and communication technologies and information storage and retrieval. Knowledge management has experienced the greatest growth over the past 10 years.

This analysis reveals which fields are prioritized and which are neglected by the LIS. The findings of this study can help researchers discover newer topics, focus on less-seen subjects and prevent repetitive research in one area.

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.