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Despite the vast talk about digitalization and its ability to transform how organizations manage their workforce and their talent, our understanding of how the implementation and use of Talent Management Information Technology (TM IT) changes various organizational processes is limited. In this chapter, we use a qualitative case study of a multi-business unit professional services firm to highlight the complexity of the human – technology interface. Contributing to our understanding of the role of human resource management in talent management, we show how perceptions and attitudes toward information technology, in combination with existing social systems influence the role HR managers play in high potential talent identification. The chapter provides a more nuanced and context-based account of how eHRM, HRM and talent management materialize in organizations as HR professionals struggle to remain relevant in an increasingly digital world.

The hospitality and tourism industry faces a number of workforce challenges, especially the high turnover rates and associated replacement costs associated with continually identifying and hiring new employees. The purpose of this paper is to discuss how hospitality and tourism organizations can use electronic human resource management (eHRM) and artificial intelligence (AI) to help recruit and select qualified employees, increase individual retention rates and decrease the time needed to replace employees. Specifically, it discusses how e-recruiting and e-selection and AI tools can help hospitality and tourism organizations improve recruiting and selection outcomes.

Research on eHRM, AI, employee recruitment and employee selection are applied to the hospitality and tourism industry and insights for how eHRM and AI can be applied to the industry are discussed.

eHRM and AI have the potential to transform how the hospitality and tourism industry recruit and select employees. However, care must be taken to ensure that the insights gained and the decisions made are well received by employees and lead to better employee and organizational outcomes.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

This paper represents the first research that integrates research from eHRM and AI and applies it to the hospitality and tourism industry.

One potential shortcoming of the emerging gig economy is the reduced ability of gig workers to meet their social and relatedness needs through their work. Using self-determination theory (SDT) as a theoretical foundation, we examine how gig work platforms currently use their technology for managing relationships with gig workers. We develop a framework consisting of four main attributes: relationship content, relationship duration, relational eHRM function, and social eHRM type. We then analyze the eHRM resources offered on 20 gig work platforms, evaluating the extent to which they are aligned with the framework. All platforms analyzed included some relational eHRM resources. Relationship content tends to be focused on tasks or career development, and relationship duration tends to be short. All three of the relational eHRM types (communication, training and development, and performance management) are currently found on gig platforms. Many of the eHRM resources are available to an open audience, but some of the resources with the potentially highest value are kept internal and are available only to people in particular roles. We discuss practical implications and directions for future research on this topic, suggesting that eHRM systems more focused on relational functions could be used to help gig workers meet their relatedness needs.

Rapid technological advancements and the ever-increasing demand for Internet and social networking sites worldwide have increased the opportunity for extensive use and misuse of these platforms. Research and practice have typically focused on the brighter side of social networking sites due to the adoption of EHRM (Electronic Human Resource Management). However, less is known about the dark side of EHRM, especially the drawbacks associated with the use of social networking (SNs) platforms in organisations. In addition, most of such studies have primarily involved the western country context, and in an emerging country scenario, these kinds of studies are limited. Hence, the study aims to investigate the complexities of the use of SNs as an e-HRM strategy in organisations in an emerging country context.

Drawing on 26 in-depth interviews of HR practitioners and analysing their narratives surrounding employees' use of social networking (both enterprise social networks [ESNs] and social networking sites [SNSs]), this study illuminates the dark or the adverse side of EHRM. Specifically, it focuses on the link between employees' deviant workplace behaviour and their usage of social networking (SN) platforms in organisations (i.e. SNs at workplaces influencing employee's unethical behaviour at work).

The empirical findings reveal the subtle intentional and unintentional indulgence of employees via SNs in various types of deviant behaviours such as sharing confidential information, bullying, harassment, breaching colleagues' privacy, etc., at the workplace in the emerging market context of India. Utilising the social networking perspective and the 4Ps of deviant theory, this article describes deviance behaviours in detail and explains the inadvertent complexities of leveraging SNs as an EHRM tool at the workplace. These insights then provide a starting point for discussing the theoretical and managerial implications of the research findings.

Derived from the current research, this model offers an integrative frame-work for understanding DWBs in SNs platforms in general. This also shows that use of SNs at workplace often leads the employee engaging in non-productive activity. Hence future studies can explore the application of this framework in organizations in detail, thus further highlighting the usefulness of EHRM to understand the employee behaviours at the workplace by the organisations.

The research offers several managerial implications concerning the use of SNs as EHRM strategy at the workplace, which is perceived as a global challenge nowadays. Primarily it offers suggestions for the social media professionals and HR practitioners regarding the use of SNs in organisations.

The study's findings highlight the complex process that explains how SNs as an EHRM strategy affect employee deviance behaviours in the workplace. Till date, no known study has considered the possible effect of SNs on deviance behavior at the workplace in an emerging country context.

The mobile human resource management application (mHRM app) has recently been seen as an innovative cloud-based solution to manage human resource management (HRM) within organisation. Despite its great potential, organisations have shown resistance towards the usage of the mHRM app. This study investigates the dark side of electronic HRM (eHRM) by examining factors affecting HR professionals' resistance to the mHRM app using status quo bias (SQB) theory. The study also examines the moderating effect of personal innovativeness.

Responses were collected from 239 HR professionals using an online survey. Structural equation modelling (SEM) and PROCESS macro were used to examine the hypotheses.

The results indicated that regret avoidance, inertia, switching costs and perceived threat significantly affect HR professionals' resistance towards mHRM app adoption. Results also indicated that high personal innovativeness negatively moderates the association between inhibitors and resistance to adopt the mHRM app.

The study's findings will help HR professionals reduce their resistance towards mHRM app adoption.

This study enriches eHRM, mobile applications and the SQB literature.

Three decades of academic and professional discourse on HR technologies (HRTs) have produced continued disagreement over construct definitions and research streams that are highly fragmented. These realities suggest that greater consistency in meanings is sorely needed if we are to integrate and upgrade knowledge in this area. This chapter draws on the findings of a systematic research review to properly define the content domains of human resource information systems (HRIS), virtual human resources (virtual HR), electronic human resource management (e-HRM), and business-to-employee (B2E) systems. An integrative synthesis was performed on 242 system-level writings that appeared in the literature from 1983 to 2017. The weight of the evidence strongly supports treating HRIS, virtual HR, e-HRM, and B2E systems as independent, complimentary constructs. While the first three comprise a firm’s HRT system, the fourth construct is more appropriately positioned in the business-collaborative system. The sample was further evaluated with an analytic framework to detect patterns of practice in research designs. This revealed that much more attention has been focused on system actions and outcomes than on attitudes and system characteristics. Different units of analysis were well represented aside from trans-organizational studies. Finally, a case is made for better contextualizing HRT research by recognizing differences in assimilation stage, functional penetration, and collective proficiency. These factors are rarely mentioned, let alone studied, raising additional concerns about measurement error. Detailed suggestions are offered on ways to incorporate them. Together, these materials should promote more sophisticated and generalizable assessments of technology, improving our ability to understand its impacts.

The purpose of this paper is to identify the barriers to the implementation of a software system for managing job task analysis and competency‐based training in a large organization in the State of Kuwait. Why, in spite of many positive selling points, was this system rejected out‐of‐hand at an early stage?

An action research study considers an attempt by consultants to introduce this system over several months. Semi‐structured interviews with consultants and clients are conducted. It is propositioned that political and cultural barriers are inadequately anticipated and addressed by the consultants concerned who neglect basic principles of organizational development (OD).

These barriers include the fear of exposure of incompetence; a “them and us” mentality; job security concerns; the protection of relationships; and a lack of trust of local consultants.

This case is limited to one organization in one country, with one client and one consulting firm.

This region (Kuwait and the United Arab Emirates in particular) is one of the largest consumers of corporate training worldwide, yet is one of the most challenging in sales and implementation. Consultants can use relevant OD models to ensure consideration and accommodation of the political and cultural barriers.

Few unsuccessful potential consulting interventions receive analysis, yet this case suggests that in helping to achieve corporate objectives to increase efficiency, productivity, and profitability, politics and culture pose a significant barrier. This adds a new dimension to the understanding of human resource, consulting, OD, and organizational change, especially for practical consultants in the field.

Mobile human resource management application (mHRM app) has emerged as an innovative solution to manage human resources. However, the performance of the application is questionable, and hence, it is crucial to know employees' perception towards it. This study aims to explore employees' perceived service quality towards mHRM app using the moderated-mediation framework.

Data were collected from 265 Indian HR professionals using online questionnaire. The proposed hypotheses were examined using structural equation modelling and PROCESS Macro.

Results indicate that navigation and contact significantly affect employees' mHRM usage behaviour. Results also indicate that perceived values significantly mediates the association between perceived service quality and mHRM usage behaviour.

The findings of the study will help organisations in enhancing their employees' perceived service quality towards mHRM app.

This study contributes to the literature on human resource management, total quality management and cognitive-motivational-relational (CMR) theory.

The purpose of this study was to develop and empirically examine a model of cloud-based human resource information systems (HRIS) adoption by small businesses based on the technology–organization–environment model (Tornatzky & Fleischer, 1990).

This study utilized a survey of 41 small- to medium-sized enterprises in the northeastern United States to examine what HR functions were being supported by cloud-based HRIS and the relationship between three technology factors, three organizational factors, and three environmental factors, and their relationship with the adoption of cloud-based HRIS.

Findings indicated that small businesses are most likely to implement cloud-based HRIS to support day-to-day HR operations. In addition, the findings indicated that top management support (positive), vendor support (positive), and anticipated growth (negative) were each related to organizational adoption of cloud-based HRIS.

The study illustrates how the adoption of a cloud-based HRIS is motivated by different factors than those underlying the adoption of other types of information systems. Executives and small business owners will need to adapt their strategy when considering cloud-based HRIS compared to other types of systems.

Given that small- to medium-sized organizations are the backbone of most global economies, findings from this study can help support society by helping these businesses better understand how to best consider the factors that will support the implementation of cloud-based HRIS.

This chapter represents one of the first to empirically validate a model of the factors affecting adoption of cloud-based HRIS by small businesses.