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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.

In this chapter, we apply diffusion of innovation theory and the theory of management fashion to examine the diffusion trajectory of human resource (HR) analytics in a U.S. context. We focus on the role mass media plays in influencing the diffusion process and address two research questions. First, does the mass media on HR analytics make observable the positive outcomes of HR analytics and is this related to increasing HR analytics adoption over time? Second, does the mass media on HR analytics show evidence of management trendsetting rhetoric?

We analyze published popular trade, business press, and peer-reviewed academic articles over a decade using a big data discourse analytical technique, natural language processing.

We find preliminary evidence that suggests that although the media has broadcasted positive outcomes of HR analytics, adoption has tailed off. In concert with the tailing off of HR analytic adoptions, the media appears to be recasting HR analytics as solving newer problems such as managing talent. Whether this shift makes a difference has yet to be determined.

Business press appears to influence the adoption process, both by broadcasting positive outcomes and through creating management fashion trendsetting rhetoric.

To promote the use of HR analytics, academic institutions and the HR profession need to train HR professionals in the use and benefits of HR analytics.

We lay the groundwork to improve our understanding of the role media plays in influencing how new HRM practices spread across organizations. We introduce the application of an emerging big data analytic technique, natural language processing, to analyze published media on HR analytics.

We review the literature on individual acceptance of technology to show how organizations can improve the effective use of human resource web-based technologies. Integrating and expanding several theoretical models of technology acceptance, we develop a perceptual model of employee self-service (ESS) acceptance and usage. Based on this model, we propose several key individual, technological, and organizational factors relevant to individual intentions to use ESS technology. We summarize these in several testable propositions and also discuss implications for organizational researchers and practitioners.

This study aims to investigate whether organizational image: mediates the relationship between web site attributes and organizational attraction and moderates the relationship between person‐job (P‐J) fit and organizational attraction.

A total of 320 observations were collected from 80 senior‐level undergraduates, each half navigating a different set of four actual organizational web sites.

Organizational image was found to fully mediate the relationship between a web site's aesthetic features and organizational attraction; and moderate the relationship between P‐J fit perceptions and organizational attraction such that the change in organizational attraction was more sensitive to perceptions of P‐J fit when organizational image perceptions were more unfavorable rather than favorable. In addition, intercept differences revealed that individuals with below average P‐J fit were more attracted to organizations having a favorable image than an unfavorable image.

Findings underscore the importance of the positive relationship between organizational image and organizational attraction. In addition, organizations should assess applicant reactions to their web page, as it relates to perceptions and attitudes toward the organization.

This study integrates the web environment with two of the strongest antecedents to organizational attraction, organizational image and perceived P‐J fit.

M. Ronald Buckley is a Professor of Management and a Professor of Psychology and the holder of the JC Penney Company Business Leadership Chair in the Michael F. Price College of Business at the University of Oklahoma. He received his Ph.D. in Industrial/Organizational Psychology from Auburn University. His research interests are diverse and include decision making in the employment interview, performance evaluation, organizational entry processes, and the issues surrounding unethical behavior in organizations. He has published over 70 refereed journal articles in, among others, the Academy of Management Review, Journal of Applied Psychology, Applied Psychological Measurement, Journal of Management, and Organizational Behavior and Human Decision Processes on topics related to human resource management issues.

This systematic literature review aims to explore the adoption, global acceptance and implementation of human resources (HR) analytics (HRA) by reviewing literature on the subject. HRA adoption can assist HR professionals in managing complex procedures and making strategic human resource management (SHRM) decisions more effectively. The study also aims to identify the applications of analytics in various disciplines of management.

The review is conducted using a domain-based structured literature review (SLR), emphasizing the diffusion of innovative thinking and the adoption process of HRA among early adopters. The philosophical stances are analyzed with the combination of research onion model and PRISMA protocol. Secondary data are gathered from published journals, books, case studies, conference proceedings, web pages and media stories as the primary source of information.

The study finds that skilled professionals and management assistance can significantly impact adoption intentions, enabling professionals to deal with analytics. The examples and analytical models provided by early adopters allow managers to manage complex processes and make SHRM decisions.

The study suggests that the lack of use of quantitative techniques is a key limitation and should be considered in future studies. Despite the rise in the number of research papers on HRA, its application in the workplace remains limited.

This research can assist managers in implementing HRA and help resolve complex and inefficient processes, making SHRM decisions.

This study adds to the existing body of knowledge on how HRA can aid a company's efficacy and performance and can be considered one of the first to link adoption and HRA.