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This study aims to explore whether the COVID-19-related circumstances hindered these academic-related variables.

The authors surveyed two groups of undergraduate business students (42% male) who completed the questionnaires at the beginning and at the end of the semester. One group of students attended only face-to-face classes in the 2018/2019 academic year (n = 126) and the other group transitioned to online classes because of the COVID-19 outbreak in the 2019/2020 academic year (n = 99).

The findings show no statistically significant group differences between the pre- and post-test in students’ intrinsic and extrinsic motivation, feelings of attachment to the university and engagement dimensions of absorption and vigour. Nevertheless, a moderate negative effect was found in the dedication engagement dimension.

The authors discuss the main results in terms of some practices that may contribute towards attenuating the effects of future emerging pandemics in the higher education setting.

The COVID-19 pandemic imposed a rapid transition to online instruction in education institutions worldwide. However, it remains unclear to date how students’ engagement, motivation and attachment to the university were negatively affected by the first COVID-19 outbreak.

This study aims to provide an overview of what characterizes the current state of research in the field of cloud computing use in human resource management (HRM) with the identification, analysis and classification of the existing literature and lines of research addressed and to provide guidance for future research.

The systematic literature review (SLR) technique has been used to identify, select, analyze and evaluate the existing publications on cloud computing and HRM. A total of 35 papers published up to December 2020 have been obtained from the Web of Science (WoS) scientific database. The research design has allowed us to determine what characterizes the current state of research on the use of cloud computing in HRM and obtain a novel classification of the literature that identifies four lines of research and the contributions in each line and has allowed us to define the future research agenda.

The four groups into which the papers on the cloud computing-HRM relationship have been classified are: (1) studies focused on the development of cloud platforms for HRM that highlight technical aspects, (2) papers that focus on the concept of human resource elasticity, (3) papers on the adoption and/or implantation of cloud platforms for HRM and (4) studies that highlight the effects or implications of cloud platforms for HRM. This paper proposes some new opportunities for future research and presents some helpful implications from the theoretical and management perspectives.

This study uses only scientific articles in the WoS database with a Journal Citation Report (JCR) or SCImago Journal Rank (SJR) impact.

This paper provides an overview of the knowledge on cloud computing and HRM research and offers recommendations for future research.