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The purpose of this paper is to provide a return on investment (ROI) based review of human resources (HR) analytics. The objectives of this paper are twofold: first, to offer an integrative analysis of the literature on the topic of HR analytics in order to provide scholars and practitioners a comprehensive yet practical ROI-based view on the topic; second, to provide practical implementation tools in order to assist decision makers concerning questions of whether and in which format to implement HR analytics by highlighting specific directions as to where the expected ROI may be found.

This paper is a review paper in which a four-step review and analysis methodology is implemented.

Study results indicate that empirical and conceptual studies in HR analytics generate higher ROI compared to technical- and case-based studies. Additionally, study results indicate that workforce planning and recruitment and selection are two HR tasks, which yield the highest ROI.

The results of this study provide practical information for HR professionals aiming to adopt HR analytics. The ROI-based approach to HR analytics presented in this study provides a robust tool to compare and contrast different dilemma and associated value that can be derived from conducting the various types of HR analytics projects.

A framework is presented that aggregates the findings and clarifies how various HR analytics tools influence ROI and how these relationships can be explained.

Introduction: In previous years, we can witness an upsurge in the usage of different digital tools by the different corporates worldwide. Instead, it can be witnessed during the time of Covid-19, where most of this affects the various human resource management (HRM) practices. It became essential for the industries worldwide to shift through digitalisation and so for HRM functions.

Purpose: Understanding the present situation of extensive usage of different digital tools, this chapter aims to discover and comprehend how successful the various organisations were in digitalisation and explain its outcomes. The main objective of this chapter is to explore the various factors influencing the success of digitalisation in human resources (HR) and measure its outcomes. To fulfil this aim, authors have focused on exploring the literature on a similar concept in the last decade (2011–2021).

Methodology: To conduct the study, the authors have approached a systematic study of bibliographic search with a motive to achieve the available works about HRM digitalisation. The list of different resources was primarily created using Google Scholar’s information. The acquired resources were then analysed and, based on certain pre-defined criteria, filtered.

Findings: The result of this study indicated that most of the previous studies focused on digitalisation outcomes, but very few studies have explored the dimension of understanding the success of digitalisation. Authors have categorised the factors among technological, organisational, and people factors. So further to understand these in-depth outcomes, both positive and negative outcomes have been understood.

Implications: Lastly, the authors have also tried to explore the suitable settings required for HRM digitalisation by studying empirical articles. This chapter will provide the overall view of the crucial factors for successful digitalisation in the domain of HRM and evaluate the outcomes. The study’s findings can be further utilised to conduct an in-depth study of the phenomenon and explore how the organisation can manage these factors during the implementation of HR digitalisation.

The purpose of this article is to discuss the value of health‐related quality of life (HR‐QOL) measurement and describe its development with a few examples.

The methodology is a literature review of various articles published in the last 25 years on health‐related quality of life.

HR‐QOL tools are health status instruments, which are utilized to assess the changes in the health status of patients. These surveys are of increasingly importance as healthcare providers are challenged to justify treatment approaches and rationale for any intervention. Objective criteria can be used to determine whether there is clinical evidence of disease. However, the impact of disease on the individual's life is not included in such a clinical assessment. The use of validated and reliable health instruments is directed at measuring this impact in a reproducible and valid fashion. In patient‐centred research, “experimental” conditions are constantly changing because human beings with values, feelings, perspectives and social relationships are being treated. It is especially important to use valid measurement tools when assessing these impacts.

This article is written from the authors' own experience and knowledge and adds those benefits to the literature already available.

E-HRM supposes to develop intranet tools in order to share HR information. The measure of the efficacy of this investment is quite difficult because this tool is used in various ways. The aim of this chapter is to identify and explain the diversity of those uses. The review of literature on this topic shows that the structurational perspective of technology developed by Orlikowski (2000) is considered as the most valuable conceptual framework to analyze them. We were asked by the HR management of a major aeronautical and space company called Aero to study the use of an HR intranet by middle management, one of the most important HR clients to satisfy. Using the conceptual framework of Orlikowski and from 53 interviews, we identified three different kinds of uses of this intranet — “reluctant use,” “utilitarian use,” and “innovative use.” Secondly, we linked them with specific interpretative schemes, norms, and facilities. In our discussion, we suggest to develop the concept of local universes to gather all dimensions that explain the diversity of use.

Building on our earlier model of the links between HR strategy, e-HR goals, architectures, and outcomes, we illustrate the relationship between some of these elements with data from three global organizations. In doing so, we aim to help academics and practitioners understand this increasingly important area of HR theory and practice.

The purpose of this paper is to assess the maturity of human resource management (HRM) processes of the Sazehgostar Co. based on human resource (HR) process survey tool (PST) and provide solutions for them.

The HR PST was adopted as the reference model. Data were collected through interviews with HR experts and reviewing organisational documents. A scoring system (based on RADAR logic) is introduced to score the interviews and documents.

Each element of HR PST consists of ten maturity levels. The results of the assessment showed that the overall average of the organisation’s HRM processes maturity is at level 2. The process of data management and HR systems with a score of five received the highest score, and the organisational capability development, talent management and rewards and recognition processes with a score of 1 received the lowest score.

These findings enable management and HR management to measure the quality of HR processes and help them to prioritise development actions.

The existing literature does not present empirical research in the field of the maturity of HRM. Also, the analysis method used in this study will help organisations to perform self-assessment and determine the maturity of their processes.

This paper aims to investigate the use of Industry 4.0 (I4.0) technology and its barriers in human resourcemanagement (HRM) for Smart HR 4.0 and its impact on HR performance.

The research has been conducted using the grounded theory approach. Semi-structured interviews were conducted with 122 senior HR officers of national and multi-national companies in India after the extensive literature review. NVivo 8.0 software was used for the analysis of the interview data.

I4.0 technology is used for HRM functions by HR professionals. It is revealed that Smart HR 4.0 that emerged from the I4.0 technology has leveraged the HR performance. It is also found that usage barriers, traditional barriers and risk barriers affect the use of I4.0 technology in HRM.

A model is developed using the grounded theory approach for HR managers to understand the impact of I4.0 on HRM. This study reveals the barriers affecting the use of I4.0 technology in HRM. It also provides the model for HR performance that emerged through the use of I4.0 technology in HR and Smart HR 4.0. The research delivered key insights for the HR professionals, marketers of HR technology and technology developers.

The purpose of this study is to explore e-HRM in MNC setting from various stakeholder´s perspectives. The chapter aims to understand the motives behind the implementation of e-HRM in an MNC. Second, the chapter studies the impacts e-HRM has on various stakeholders and finally aims to deliver understanding of the concept of strategic e-HRM in an MNC.

The study follows a qualitative case study method and the interviewees represented three groups: top management, HR professionals, and line managers.

Main findings suggest that the implementation was motivated by issues related to standardization and overall introduction of a strategic way of working. As an impact of e-HRM implementation, the control of subsidiaries became easier; external and internal transparency and HR image improved; HR operations gained efficiency; and the possibility for “fact based decision making” enabled strategic e-HRM realization for some stakeholders, with the exception of line managers who were considerably more skeptical about issues related to strategic e-HRM.

The issues of change management and system training should be transparent. The strategic benefits could be realized for the line managers and operational HR by discussing how e-HRM impacts their work and roles and how they contribute to achieving the business targets.

The chapter highlights the need for communication in all levels of MNC, and the needs to update e-HRM regularly and taking equally into account various stakeholder’s perspectives.

We pioneer a multilevel perspective of e-HRM implementation and impact in an MNC setting and improve the understanding of taking account various stakeholder’s views when aiming for strategic e-HRM partnerships.

Purpose: This study aims to review the existing literature on human resource management (HRM) as a major theme and sub-theme of human resource (HR) analytics. This chapter has the objective of analysing the trends in HR analytics.

Design/Methodology/Approach: It covered the publications between 2010 and 2021. There was a total of 500 articles sourced through ProQuest. The systematic literature review is applied as a research methodology. The metadata analysis was carried out to understand the trends, challenges, best practices, and scope of HR analytics. The authors have taken the help of keywords, journals, authors, domains, and topics for sourcing, screening, shortlisting, and finalising the article for review purposes.

Findings: It was found that research published in the early period concentrated on HRM’s theoretical and conceptual frameworks. In the middle phase, HR analytics gained momentum while the recent publications have reiterated on adopting various tools and technologies for optimum utilisation of resources and sustainable organisational development.

Practical Implications: This research will add to the literature in the HR analytics domain. It also provides a deeper insight to the researcher to explore and analyse more trends in the area that needs further exploration.

Originality: This study is relevant and comprehensive within the context of digitalisation, people analytics and competition management. It provides valuable insights to analyse the present scenario of the volatility, uncertainty, complexity, and ambiguity environment exploring new horizons for organisational efficiency and human capital.

Background: Human resource management (HRM) is the tactical method for a business enterprise’s optimistic and systemic administration. This study aims to identify the common and major triggering attributes and the knowledge gap between HRM and an organisation’s employee attrition rate.

Method: The employee Attrition Case Study Dataset used is an anecdotal data set that tries to figure out relevant variables that determine employee behavioural aspects towards attrition. This study investigates why attrition occurs, the major triggering attributes for employee turnover, and how it might be anticipated to employ artificial intelligence (AI) to avert corporate losses.

Results: Employees’ monthly income, age, average monthly hours, distance from home, total working years, years at the company, per cent of salary hike, number of companies worked, stock options level, job role and other factors are taken into consideration. A feature importance extraction framework was devised to investigate the various dormant factors. The findings also show feasible hypotheses that help enhance employee engagement, reinvent the worker dynamic, and higher levels of risk decrease attrition rate.

Implications: Employees’ monthly income, age, average monthly hours, distance from home, etc., are all major variables in employee attrition in the Indian IT business. This research adds to the theory development of behavioural elements in people analytics based on AI.

Purpose: Can we predict employee attrition through employee behavioural patterns advancement using AI tools.