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There is only scarce research about the transformation of e-HRM in general, and of the e-recruiting function in particular. Further, there is not much known of the transformational implications for the related people, process, and information technology (IT). The paper aims to discuss these issues.

To analyze the transformation of e-recruiting caused by external influences outside of the organization, the authors report the results of an eight-year case with a media corporation in order to derive and describe five consecutive steps of an e-recruiting transformation model.

The paper comes up with five stages (transformation of tools, transformation of systems, transformation of workflows, transformation of tasks, and transformation of communication), each influenced by external developments and market tendencies (War for Talent, increasing number of applications, job market switch, globalization of job market, changing communication behavior).

This research contributes to literature by explaining the drivers of an e-HRM transformation and the different stages of this transformation process differentiated by the affected people, processes, and IT. However, it only observes the transformation in one company, hence the transformation of further e-HRM functions in other companies might differ.

The paper highlights both the transformation of e-recruiting and for the related people, processes, and IT, so companies could observe their current status of e-recruiting transformation.

This paper represents the first longitudinal approach observing the transformation of e-recruiting by describing different stages and external influences.

The purpose of this study is to discover the factors related to human resource (HR) digital transformation (DT) in Bahrain during coronavirus disease 2019 (COVID-19) and to analyze the impact of e-human resource management (e-HRM) on organizational performance. These factors are funding, information technology (IT) infrastructure, technical support, digital skills or talents, organizational culture, employee resistance and top management support. These factors were tested to determine whether they affected HR DT in Bahrain during COVID-19. There are no findings in the researched literature regarding the proposed factors that affect HR DT in Bahrain during COVID-19 in this study.

For data collection, a quantitative method was applied by conducting an online survey and distributing it to HR executives and employees from multiple organizations in Bahrain, both in the private and public sectors.

This study proposes a DT adoption model based on seven factors extracted from the literature review. A questionnaire was deployed, and accurate data were collected, processed and then analyzed. The logit model shows determinants factor to the DT adoption where all variables have a positive effect.

Using technology in an organization’s HR practices, known as e-HRM or HR DT, is becoming more crucial since the COVID-19 pandemic. Unlike European countries, the HR sector in Bahrain is not prepared to adopt the e-HRM process. This paper proposes a model that enables the HR sector to adopt digital technologies. This model is based on the key factors that enable an effective transition to the sector’s digitalization (e-HRM). Future research is sought to provide additional insights into the same factors and measure their effect on HR DT during COVID-19 in other countries.

The purpose of this paper is to focus on how the HR function takes advantage of human resource analytics (HRA), including big data (BD), and discuss factors hindering HRA and data utilization. Moreover, the authors discuss the implications of the HRA-induced role transformation of the human resource (HR) function.

This is an explorative case study based on qualitative interviews in nine leading Finnish companies.

The results indicate that both technical and human obstacles, operating with very basic HR processes and traditional information systems and poor data quality, hinder adoption of advanced HRA. This, combined with lacking skills in analytics and business understanding, inability to go beyond reporting, misconceptions related to BD and traditional compliance-oriented HR culture pose further challenges for the data analytics capacity and business partner role of the HR function. Senior executives expect no significant advancements of HRA, while HR professionals saw potential value in BD, although skepticism was not uncommon. The results point toward a need for increased cooperation with data analysts and HR professionals in provision and understanding the HR-related data for business-related decision making. Furthermore, cultural change and organizational redesign may be called for, in addition to overcoming technological obstacles related to BD, for it to have an impact on HR practices. HRA utilization and role transition of the HR function seem closely related and this transformation can be mutually reinforcing.

This study provides and theorizes explorative data on HRA within a group of some of the largest Finnish companies, pointing toward an immature state of the art in BD and HRA utilization and there being a relationship between HRA and the role transition of the HR function in organizations.

The purpose of this paper was to develop a taxonomy of organizations based on business value (BV) underlying electronic human resource management (e-HRM) adoption motivations.

A taxonomy was developed using cluster analysis of the online case stories of 146 firms. Results were validated using discriminant analysis. Differences in organization and environmental characteristics across clusters were examined.

Seven meaningful and distinct clusters were uncovered showing asymmetry in the consideration of strategic BV underlying the motivations of e-HRM adoption. Statistical tests revealed that the seven clusters have high internal validity. Statistically significant differences in organizational conditions were found among clusters.

This research offers an empirically and conceptually grounded taxonomy of organizations that reveals strategic and nonstrategic BV that organizations actually put forward and the way they combine together to form different profiles. This research is based on secondary data, that is, data initially gathered for a distinct goal different from this research.

The developed taxonomy provides human resource (HR) managers, executives, researchers and consultants a useful way to describe and understand motivations underlying e-HRM adoption. The taxonomy may also facilitate valid and systematic assessment of e-HRM effectiveness.

This research moves the debate beyond normative arguments to a more analytic assessment of the actual practice of organizations regarding e-HRM adoption and expected BV.

While prior studies have highlighted the brighter side of technology adoption in improving human resource (HR) functions, the dark side pertaining to the adoption of technology in people management within organizations has gone relatively unnoticed. The current study tries to demystify the dark side of electronic human resource management (e-HRM) by examining banking institutions in India which are believed to have undergone several transformations in recent years.

This study adopts an inductive qualitative approach to examine the research problem. In total, 53 semi-structured interviews were conducted with the employees of eight public sector banks in India. The interviews were transcribed. The analysis of the data was done using the thematic analysis technique.

The findings of the study suggest that there is a stratification of the workplace in banking institutions into digital natives and digital migrants. This social stratification is based on technology adoption and usage which has further created problems in the form of knowledge hiding and perceived workplace conflicts.

The findings of the current study have important theoretical and managerial implications. It not only extends the current scholarship on the transtheoretical model of change but it also has strong managerial implications as it highlights the need for the adoption of customized e-HRM training curriculums for the workforce based on their age, education, work experience and expertise.

Current research on the dark side of e-HRM is inadequate. Furthermore, the evolution of banking institutions from being a typical bureaucratic organization into a hybrid one has not been examined in the context of e-HRM.

The primary aim of this paper is to study a dark side of e-HRM concerning its parallel effect on human resource (HR) socialization and HR service delivery and the consequent impact of perceived HR effectiveness.

The current study started with an in-depth review of the extant literature in the field of e-HRM to derive a set of constructs. Based on the theoretical foundation of the identified constructs, the current study went on to derive a set of hypotheses, which was subsequently validated using the uses the quantitative technique of PLS-SEM. A primary survey, in the form of a structured questionnaire, was used as the source for data collection on a sample size of 276 from the Indian industrial domain. Careful attention was paid to eliminate the common method bias in the study.

The findings of this study show a simultaneous significant full mediation effect of both HR service delivery and HR socialization is the relationship between e-HRM and HR effectiveness. However, e-HRM has a strong and significant negative effect on HR socialization. Though HR socialization is positively related to HR effectiveness, the significantly reduced level of HR socialization as a consequence of adaption of e-HRM had negatively affected the perceived HR effectiveness.

Although the dark side of e-HRM has been recognized by academicians and practitioners alike, its implications have seldom been studied in the academic literature. The current study intends to shed some light on this important, but sparsely discussed topic. Further, this study makes significant and meaningful contributions in the literature of e-HRM by empirically studying together the positive and negative consequences of e-HRM and its effects on HR effectiveness. Several e-HRM scholars have discussed the implications of e-HRM adoption and highlighted the negative impacts of e-HRM, and traversing the same path, the current study advances the literature by empirically investigating the effect of e-HRM on the dehumanization of HR processes and practices.

The purpose of this article is to examine all the studies carried out within the scope of e-HRM and smart HRM, grouped according to the sub-functions of technical and HRM. The use of technology in HRM has started since the mid-1990s. However, this study focused on the articles published after 2014 in order to keep up to date. Any search strategy should allow for the completeness of the search to be evaluated. The terms “electronic-HRM”, “AI and HRM”, “Industry 4.0 and HRM”, “Society 5.0 and HRM”, “Human Resource Information Systems” and “Digital Technologies and HRM” “Human-robot interaction” has been questioned in IEEE Xplore, ALM digital library, Emerald Insight, SpringerLink, and Science Direct. The Web of Science and Scopus were also queried to double-check the findings and find other relevant articles in lesser-known libraries. Google Scholar was also used for forward and backward searches. These online databases have been chosen because they present the most important peer-reviewed full-text journals, conference proceedings, book chapters. Then, the references of each article were reviewed for additional articles on digital technologies and HRM. Each subsequent article is then reviewed for additional reference.

A total of 5,580 articles have been reviewed. Duplicate items have been removed. The titles and abstracts of 3,500 articles have been scanned to identify potential articles. The full-text evaluation of 2,554 was based on compliance with the inclusion criteria. In addition, 2,458 studies have been excluded. In total, 96 studies have been selected for data extraction. Additionally, questionnaires and reviews have been used to provide comprehensive research on e-HRM and smart HRM. The search terms used are expected to cover most, if not all, of the studies involving e-HRM and smart HRM.

The study carried out in this article is qualitative research. In the article, which methods are used and what has changed in e-HRM and smart HRM are examined. In particular, it has been thought about what can happen with the inclusion of human-machine interaction, AI, chatbots, industry 4.0 and information systems in HRM. Unlike previous studies, this review takes HRM from a broader perspective and groups it by topic, both by technical and HR functions. In addition, the reviewed articles provide brief information about the AI technologies used. In particular, criteria were taken into account according to the field, type and subject of the articles.

This study has the distinction of being the first in the literature in terms of examining all the studies carried out within the scope of e-HRM and smart HRM and grouped according to the sub-functions of technical and HRM in line with its purpose. The article focuses specifically on research published after 2014. It is expected to contribute to the literature in terms of collecting all studies in a single article. Other contributions of this article can be summarized in four main articles: 1) it presents a summary of previous research by grouping the studies on e-HRM and smart HRM according to the interests of researchers. 2) It saves time for the reader as it provides a brief explanation of the studies on the subject. 3) Instead of explaining in detail the general details analyzed in other articles, it offers a practical perspective by focusing on the type, subject and field of the article. 4) With the digitalization of HRM, new, up-to-date research and techniques are introduced.

The disruptive human resource management (HRM) technologies are now considered a significant facilitator to change and benefit the entire HRM landscape. This view needs to be further verified by reviewing the knowledge on the subject in the empirical research landscape. Thus, the study's objectives were to find (1) the current knowledge and (2) the areas where empirical research is lacking in disruptive HRM technologies.

The article is a literature review that was followed by the systematic literature review and the preferred reporting items for systematic reviews and meta-analyses (PRISMA). The review considered 45 articles published during the 2008–2021 period extracted from the Scopus database, and bibliometric analysis was performed to achieve the research objectives.

The results found that scholarly attention has been given to electronic HRM (E-HRM) rather than the disruptive HRM technologies. The areas investigated include the determinants of intention, adoptions and use of E-HRM and the outcomes of E-HRM adoptions and use. These outcomes can be further divided into general outcomes and HRM outcomes.

The findings reveal gaps in E-HRM research and disruptive HRM technologies remain untapped in the empirical research landscape. Hence, the study findings provide some implications for future research and applications.

The study found empirically proven determinants of E-HRM intention, adoptions and use and E-HRM adoptions and use outcomes. These were found in the studies conducted during the 2008–2021 period.

顛覆性人力資源管理技術被認為是一個可改變、並幫助整個人力資源管理格局的重要誘導者; 這個看法、需透過檢核在實證研究範疇裡就有關議題的資料、才能作進一步的核實。因此，本研究擬了解 (1): 我們目前對有關議題的認知，以及 (2): 就顛覆性人力資源管理所進行的實證研究有哪些不足之處。

本文是一個文獻探討。研究人員採用系統文獻綜述研究法，以及系統綜述和 meta分析的首選報告項目。研究涵蓋45篇於2008年至2021年期間發表的學術文章; 這些文章均取自 Scopus資料庫。研究人員進行文獻計量分析，以達到研究的目標。

研究結果顯示、被研究探索的是電子化人力資源管理 (E-HRM) ，而不是顛覆性人力資源管理技術。被研究的範疇包括使用電子化人力資源管理的決定因素，以及使用後的結果。使用後的結果再細分為一般性的結果、和與人力資源管理有關的結果。

研究結果顯示、在實證研究的範疇裡，電子化人力資源管理和顛覆性人力資源管理技術的研究均存在未被探索的研究缺口。因此，研究結果為今後的研究和有關的應用提供了啟示。

本研究發現並確認經實證證明的使用電子化人力資源管理的決定因素，以及使用後的結果。研究結果乃基於檢核於2008年至2021年期間進行的學術研究而得來的。

顛覆性人力資源管理技術、系統文獻綜述、系統綜述和meta分析的首選報告項目 (PRISMA)

This paper explores the use of social media (SM) in Human Resource Management (HRM). Building on the configurational approach, the study investigates the existence of different configurations of social e-HRM, their consequences for the organizations and their predictors.

This empirical study draws on a survey administered to HR directors of 176 companies operating in Italy. Two-step cluster analysis, test for variance and logistic regressions were employed for data analysis.

Three social e-HRM configurations emerged – non-use, relational use and extended relational use – which distinguish different goals for using SM in HRM. The three configurations lead to similar outcomes for organizations, even if SM users, in general, enjoy greater success than non-users. Certain structural, strategic and HRM factors are systematically and variously associated with each configuration.

The study is based on cross-sectional research, and thus it is difficult to identify causal links between the variables. The study also relies on data collected in a specific national context, which limits the generalizability of the results.

The study suggests that different and equally effective social e-HRM configurations exist and that their presence is predicted by specific structural, strategic and HRM factors.

The study contributes to an emerging and still scarce literature on types, drivers and outcomes of SM use in HRM.

Rapid technological changes have turned electronic-human resource management (e-HRM) into a significant academic and managerial agenda. The purpose of this paper is to examine the impact that different types of e-HRM goals have on distinct types of e-HRM outcomes and an explanatory mechanism, by incorporating HRM role as a mediator and IT users’ acceptance as a moderator.

HR managers of all organizations that adopt some form of e-HRM systems in Greece were asked to participate in the study. The responses of 80 out of 167 managers were analyzed through various methods, including exploratory factor analysis, cross-tabulations, and bootstrapping.

Evidently, regarding HRM roles and outcomes interaction, administrative experts tend to achieve primary outcomes whereas change strategists achieve transformational outcomes. Moreover, information technology (IT) users’ acceptance moderates the mediating effect of e-HRM goals on e-HRM outcomes.

The limited sample and the cross-sectional design of the study are its key limitations.

The findings can facilitate HR manager’s effort to make the most out of e-HRM systems introduced, by stressing the influence of HR role adopted and IT users’ acceptance. Prior to e-HRM adoption, HR role and workforce must be prepared to fit, respectively, e-HRM goals and the expected outcomes. Additionally, apparently the outcomes to be realized through the adoption of e-HRM system may significantly differ in type, based on the goals set.

Albeit expected e-HRM outcomes are multiple and crucial for organizations nowadays, extant evidence is scarce. The moderated mediation model indicates that e-HRM outcomes to be realized largely depend upon other HRM role and IT users’ acceptance, rather than e-HRM goals initially set.