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The present study used the job-demands and resources (JD-R) framework to understand how the training is transferred to an extreme working context through the analysis of job and personal resources (social support from the leader and colleagues and adaptability). Specifically, the authors tested the mediating role of motivation to transfer in the relationship (1) between the perceived support from the supervisor and colleagues and performance after training and (2) between adaptability and performance in an extreme context of the pandemic crisis – the first peak of COVID-19 in Portugal. Further, an inspection of the factors that predicted knowledge transfer and adaptability under an extreme context was carried out.

To do so, necessary training about the new safety rules regarding the pandemic crisis of COVID-19 was implemented in a healthcare institution as a strategy to help healthcare workers deal with the increasing uncertainty and complexity that was threatening their work. It consisted of three sessions (each with one hour of training) regarding procedures, rules and safety norms. The training occurred in May 2020. Overall, 291 healthcare workers participated in the study and answered one online questionnaire one week after training completion.

The results showed that the motivation to transfer had a significant indirect effect on the relationship between colleagues' and supervisors' support and performance and between adaptability and performance. Additionally, complementary analyses showed that the mediations depended on the levels of self-efficacy in such a way that the indirect relationships were stronger when self-efficacy was higher. Thus, adaptability and support, both from colleagues and the supervisor, are determining factors for knowledge transfer and resultant performance in extreme contexts, such as the COVID-19 pandemic crisis. Lastly, the results showed that the most significant predictors of transference were self-efficacy and the motivation to transfer the learned knowledge. On the other hand, self-efficacy, peer support and the opportunity to use the knowledge were the most significant predictors of adaptability.

These findings provide support for the role of employee motivation to transfer as a mechanism connecting both perceived support and adaptability to performance outcomes under extreme working contexts.

This study, conducted in the middle of the COVID-19 pandemic context – an extreme and uncertain working context – shows the relevance of both job and individual factors to predict employees' adaptability to such contexts.

Performance management system (PMS) is a crucial element of strategic human resource practices in any organization. This research aims to provide a concise overview of how bibliometric analysis is employed to assess the influence and significance of cutting-edge technologies in shaping of PMS. This study seeks to identify key trends, emerging technologies and their impact on the evolution of performance management practices, contributing valuable insights for researchers, practitioners and policymakers in this field.

This investigation is carried out utilizing total of eight research questions, which are examined through VOS Viewer and Biblioshiny software. The research offers visual diagrams and tables depicting the data extracted from the Scopus Database.

The study’s results underscore a noticeable increase in research literature pertaining to PMS, indicating a shift from conventional methods to a strategic, technology-driven approach. These findings cover the way for further investigation across various disciplines, offering opportunities to enhance the efficacy and productivity of PMS.

The implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration.

To the best of the authors' understanding, this analysis represents the inaugural application of bibliometric techniques to evaluate the advancement of research on Performance Management System (PMS) dating back to 1978, utilizing academic literature sourced from the Scopus database.

The present study purports to unravel the mechanism in relationship among leadership behaviour integrity, organisational career development and employee engagement. Further, it also aims to understand if the employee feedback self-efficacy has any moderating influence on the relationship between leader behavioural integrity and organisational career development.

Pre-existing questionnaires are used for collecting data from a total of 417 employees working in the information technology industry operating within India. Analysis of the data is done using structural equation modelling technique.

Results of the study show that organisational career development partially mediates the relationship between leadership behavioural integrity and employee engagement. It is also found that feedback self-efficacy plays a moderating role in the relationship between leadership behavioural integrity and organisational career development.

The study helps to understand the mechanism of the relationship between leadership behavioural integrity and employee engagement through organisational career development with the support of ethical theory and social exchange theory. It also shows the moderating role played by feedback self-efficacy in the relationship between leadership behavioural integrity and organisational career development using social learning perspective.