Cloud computing and human resource management: systematic literature review and future research agenda

Abstract

PurposeThis 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.Design/methodology/approachThe 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.FindingsThe 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.Research limitations/implicationsThis study uses only scientific articles in the WoS database with a Journal Citation Report (JCR) or SCImago Journal Rank (SJR) impact.Originality/valueThis paper provides an overview of the knowledge on cloud computing and HRM research and offers recommendations for future research.

Exploring the transformative power of AI in art through a circular economy lens. A systematic literature review

“…The objective of the research is to study the intersection between AI, art, and the CE. An analysis of search strings in previous studies e.g., Novais et al [ 71 ]; Maqueira et al [ 72 ] and a brainstorming session among the authors helped identify search keywords related to the research objective. A search string was created using simple operators, including truncated characters (e.g., *, “exact phrase”) and Boolean operators (e.g., AND, OR).…”

“…The objective pursued in the evaluation phase is to discard those studies that are not relevant to the object of the investigation. To do so, the exclusion criteria were defined [ 32 , 72 , 73 ]. Fig.…”

Interrelationships between circular economy and Industry 4.0: A research agenda for sustainable supply chains

“…Two decisions are essential at this stage: choice of search engine and formulation of search strings. Web of Science (WoS) was selected as the search engine as it offers exhaustive coverage of the field with high‐quality international academic publications from influential publishers (Garcia‐Buendia et al, 2021; Marín et al, 2021; Olawumi & Chan, 2018; Wamba & Queiroz, 2020). Authors agreed on a selection of search keywords based on the previous literature (Pagliosa et al, 2021).…”

“…Several methods that included thematic analysis/synthesis with metacognitive mind maps, qualitative comparative, meta‐summary and content analysis were considered for the research synthesis (Barnett‐Page & Thomas, 2009; Garza‐Reyes, 2015; Thomas & Harden, 2008). Descriptive analysis was adopted for this research as it does not infer the human being and enables a variety of research data and statistics to be elaborated and demonstrated, thus providing a more quantitative view of the entire study (Marín et al, 2021). Content analysis, in which human inference occurs, was also used to provide a metacognitive analysis of the researched articles and a thematic synthesis that allows a comprehensive analysis of all the articles used in the research, such as benefits, barriers, category and research approach.…”