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This study aims to investigate the mediating effect of concern for information privacy between e-HRM and job stress that eventually develops a turnover intention among employees.

A survey questionnaire was used on working professionals employed in the service and manufacturing sectors. A total of 178 usable responses were collected adopting a convenient snowball sampling technique. PLS-SEM was used to analyze and investigate the hypothesized relationships.

The study found that higher perceptions of e-HRM strength led to less concern for information privacy breaches. Further, concern for information privacy was positively associated with employee job stress and turnover intention. A positive relationship between job stress and turnover intention among employees was also established. Moreover, perceived concern for information privacy fully mediated the relationship between e-HRM and job stress and, eventually, turnover intention among employees.

Organizations should focus on ensuring considerable e-HRM strength while adopting and implementing e-HRM practices; failing may lead to concerns for employee privacy, job stress and eventually turnover intention among employees.

To the best of the authors’ knowledge, the study is among the first few studies to identify perceived concern for information privacy as a consequence of e-HRM reflecting the dark side of e-HRM.

As e-HRM systems move into the ‘smart’ technology realm, expectations and capabilities for both the automational and informational features of e-HRM systems are increasing. This chapter uses the well-established DeLone and McLean (D&M) model from the information systems literature to analyze how a smart workforce management system can create value for an organization.

The chapter is based on an exploratory case study conducted with a North American industrial products firm. We review three systems-level predictors of success from the D&M model (system quality, information quality, and service quality) and evaluate the company’s systems on these attributes.

The company’s e-HRM systems fall short on the information quality dimension, which limits potential for overall system success related to smart workforce management.

The e-HRM literature focuses on individual-level factors of system success, while the D&M model uses more macro factors. Blending these may help researchers and practitioners develop a more complete view of e-HRM systems. Conclusions from this chapter are limited due to the use of a single, exploratory case study.

Companies must pay attention to all three predictors of system quality when developing smart workforce management systems. In particular, implementation of a data governance program could help companies improve information quality of their systems.

This chapter adds to the literature on smart workforce management by using a model from the information systems literature and a practical example to explore how such a system could add value.

Little is known about actual organisational experiences and challenges with using e-HRM. The focus of this chapter is on the challenges that Australian HR professionals face in using e-HRM and achieving e-HRM outputs.

Data were collected through semi-structured interviews with five HR professionals in different Australian organisations. Content analysis was applied to analyse the transcribed interviews.

Potential of e-HRM to bring efficiency, access to HR data, reporting, as well as contributions to the overall business strategy are thwarted by three groups of e-HRM challenges that HR professionals experience: e-HRM technical issues, HR issues, and e-HRM development issues.

Findings are based on the five interviews with HR professionals in Australian organisations only. Line managers, employees, and managers from other business functions as well as small businesses have not been included in the research sample.

By addressing the e-HRM challenges, HR professionals can achieve e-HRM benefits and enhance their contribution to the overall business.

A major contribution is to show that the HRM literature barely considers the e-HRM challenges facing HR professionals. Another contribution is to provide an understanding of e-HRM challenges in the Australian context.

The purpose of this paper is to investigate the mediating role of perceived organizational politics on the relationship between electronic human resource management (e-HRM) use and e-HRM macro-level consequences.

The paper uses a cross-sectional survey of HR professionals, line managers and information technology specialists. A purposive stratified sampling technique is employed. The analyses of data make use of regression and process macro in SPSS analysis.

The effect of e-HRM use on e-HRM macro-level consequences is partially mediated by perceived organizational politics.

Organizations can invest in e-HRM use alongside other HR practices such as, emotional intelligence training, to reduce the negative effects of perceived organizational politics and in the process enhance employee attitudes and performance.

The study enriches the scope through which the interaction between e-HRM use and perceived organizational politics is viewed. The study was conducted in Zimbabwe, demonstrating that the indirect effect of e-HRM use on e-HRM macro-level consequences is not limited to developed economies.

The purpose of this paper is to examine the mediating effect of employee job satisfaction on the relationship between electronic human resource management (e-HRM) use and e-HRM macro-level consequences.

Data were collected through a survey involving 32 organizations, using e-HRM applications. A purposive sampling technique was employed. A structural equation modeling technique with the use of the process macro approach was used to analyze collected data.

E-HRM use has a positive and significant effect on e-HRM macro-level consequences and constituent elements of e-HRM operational, relational and transactional consequences. Employee job satisfaction partially mediates the relationship between e-HRM use and e-HRM macro-level consequences.

The use of e-HRM, complemented by human resource best practices, enhances employee job satisfaction. At an indirect level, job satisfaction partially mediates the effect of e-HRM use on e-HRM macro-level consequences. Organizations should invest in job satisfaction-enhancing practices to ensure attainment of intended organization-wide consequences on a more consistent basis.

The study broadens the scope through which the association between e-HRM use, e-HRM macro-level consequences and employee job satisfaction are viewed. The study illustrates the limitations of the deterministic view of e-HRM use, while supporting the assumptions of the moderate determinism approach, which pin the success of e-HRM systems on the performance and satisfaction of e-HRM actors. The level of employee job satisfaction mediates the relationship between e-HRM use and e-HRM macro-level consequences. The study, to the authors' knowledge, is the first in establishing such an effect.

The purpose of this paper is to examine and conceptualise the ways in which a balance can be achieved between optimising the efficiency and effectiveness of electronic human resource management (e-HRM) systems for human resource management (HRM) and enabling innovation to occur during the system implementation.

An interpretive case study of a UK local authority e-HRM system implementation is examined using the notion of ambidexterity as an analytical device. Ambidexterity relates to how an organisation develops the ability to operate efficiently in the now, while at the same time being able to adapt to environmental changes around and ahead of them in order to grow into the future.

As an intra-organisational capability, ambidexterity is found to derive from the simultaneous interplay and balancing of dual capabilities: exploitation and exploration. e-HRM exploitation concerned the capability to generate new knowledge with innovatory effects, created through the everyday practices performed by practitioners at all levels in the organisation. e-HRM exploration, rather than being a purposeful act, was found to be an accidental consequence of engaging in exploitation to maintain the status quo.

The notion of ambidexterity was originally constructed within strategic management and studies in the field have previously been confined to this area. This makes this study theoretically and empirically experimental, making it a challenging research endeavour. Another limitation is that the authors only sought views from the interviewees on how external forces might limit or facilitate their ambidexterity, as opposed to actually studying those forces themselves.

The authors suggest that those in organisations who are responsible for strategic HRM need to consider ways in which “intentional” opportunities for ambidexterity in e-HRM systems implementation can be identified and harnessed to ensure better balances between exploitation and exploration in such endeavours and to guard against innovation only occurring through chance.

There is a lack of detailed investigation of how organisations actually achieve ambidexterity, particularly in three under-researched areas: ambidexterity in the public sector, at human resourcing functional level and e-HRM systems implementation. Bundling these three areas into an integrated examination allows us to both identify how exploitation and exploration play out in the ambidextrous practices of an e-HRM project and also to identify the dimensions of ambidexterity in balancing e-HRM work.

The field of e-HRM and human resource information systems (HRISs) has developed very rapidly in recent years. More than two decades have passed since the publication of DeSanctis's (1986) seminal work on HRISs, and the topic continues to command the attention of scholars and practitioners around the world. If anything, interest in this topic has been increasing, as evidenced by citation counts, international academic workshops dedicated to this topic, and a number of special issues of international journals. In line with this trend, and responding to a perceived need to advance our understanding and theoretical grounds in this field, this volume forms a timely contribution.

Numerous research questions in e-HRM research are directly related to the usage of diverse information systems by HR professionals, line managers, employees, and/or applicants. Since they are regularly based on Internet technologies, information systems in e-HRM automatically store detailed usage data in log files of web servers. Subsumed as “web mining,” such data are frequently used as inputs for innovative data analysis in e-commerce practice. Though also promising in empirical e-HRM research, web mining is neither discussed nor applied in this area at present. Our chapter therefore aims at a methodological evaluation of web mining as an e-HRM research approach. After introducing web mining as a possible approach in e-HRM research, we examine its applicability by discussing available data, feasible methods, coverable topics, and confirmable privacy. Subsequently, we classify the approach methodologically by examining major issues. Our evaluation reveals that “web mining” constitutes a promising additional research approach that enables research to answer numerous relevant questions related to the actual usage of information systems in e-HRM.

The purpose of this paper is to propose and test a model designed to realize employee and organizational performance gains in developing economies.

Data were collected through a survey involving 35 organizations using electronic human resource management (e-HRM) systems. A purposive sampling technique was employed. Regression analysis making use of Process macro in Statistical Package for the Social Sciences (SPSS) was used to analyze the data.

Despite its infancy in African countries, e-HRM use has a positive effect on employee and organizational performance. The organization-wide gains are enhanced through employee performance mediation.

Electronic-HRM use, complemented by human resource best practices that impact positively on individual performance, is likely to enhance organizational performance gains. Employee performance mediation effect is likely to further enhance the effect of e-HRM usage on organizational performance.

This study represents a first attempt to examine the role of employee performance as an intervening variable in the relationship between e-HRM use and organizational performance. The findings bring into attention the role of organizational members' performance in explaining organizational performance gains. The findings also result in a model that should lead to increased employee and organizational performance.

The purpose of this paper is to examine which factors influence the cross‐national organizational adoption of electronic human resource management (e‐HRM) in Europe.

Major general and contextual influence factors are derived and tested based on a large‐scale survey with a sample of 2,336 organizations in 23 European countries using logistic regression.

The findings first reveal that e‐HRM is a common practice throughout Europe since two‐thirds of all organizations have already adopted e‐HRM. Major general determinants of e‐HRM adoption are size, work organization, and configuration of HRM. In addition, there are major cross‐national differences in e‐HRM adoption, unexpectedly revealing Eastern post‐communist countries to lead e‐HRM adoption.

Abundance of general and scarcity of contextual factors imply that there should be further important factors of adoption not considered in this paper. Owing to its cross‐sectional character, the paper is not able to reveal findings of convergence or divergence of adoption over time.

HR professionals should be informed about the advanced state of e‐HRM adoption, while some general insights are offered which kind of organizations should take an adoption of e‐HRM into consideration.

This paper is a large‐scale sample‐based evaluation of cross‐national influence factors that drive organizational adoption of e‐HRM in Europe.