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The purpose of this paper is to analyze the extensive literature on blockchain technology (BT) and human resource management (HRM) in enterprises and set the future scope of research in the adoption of BT in HRM.

A framework-based review of the literature (Callahan, 2014; Paul and Criado, 2020) is adopted for the present study. The 6 W-Framework developed by Callahan (2014) is used for the development of a conceptual framework on BT and HRM and could address HRM issues through the applications of BT.

This study focused on the major HR issues, i.e., regulation, staffing and development, and change management. These issues were categorized into sub-categories. The major implementation of BT in HRM is highlighted. The study developed a framework to aid HR professionals in implementing blockchain in the decision-making process of HRM.

The current study is limited to the bias on the part of employers in providing feedback and data feeding. Blockchain being at its infancy stage did not allow much of pieces of literary works to be introduced.

Implementation of ledger technology in managerial functions will reduce the time, money and effort required by potential recruiters and HR professionals. Using this technology, the time and cost required to verify and sort the right potential can be reduced.

The present work offers benefits to HR professionals and practitioners by expediting the process of effective decision-making of HRM employing BT.

To understand human resource (HR) practices outcomes on HR decision making, strategic human resource management (HRM) and organizational performance by exploring the HR data quality along with descriptive and predictive financial and non-financial metrics.

This work utilizes the grounded theory method. After the literature was reviewed, 113 HR managers of multinational and national companies in India were interviewed with a semi-structured questionnaire. The collected interview data was analyzed with NVivo 8.0 software.

It is interesting to uncover the descriptive and predictive non-financial and financial metrics of HR practices and their influence on organizational performance. It was found that HR data quality moderates the relationship between the HR practices outcome and HR metrics. This study found that HR metrics help in HR decision-making for strategic HRM and subsequently affect organizational performance.

This study has uniquely provided the descriptive and predictive non-financial and financial metrics of HR practices and their impact on HR decision making, strategic HRM and organizational performance. This study highlights the importance of data quality. This research offers insights to the HR managers, HR analysts, chief HR officers and HR practitioners to achieve organizational performance considering the various metrics of HRM. It provides key insights to the top management to understand the HR metrics' effect on strategic HRM and organizational performance.

Offshoring has been studied widely in the literature on strategic management and international business. However, apart from its consideration as an administrative activity, scant attention has been paid to the offshoring of the human resource (HR) function. Research in this regard has instead focussed on outsourcing (Reichel and Lazarova, 2013). The purpose of this paper is to achieve a better understanding of companies’ decisions to offshore HR activities. It adapts the outsourcing model of Baron and Kreps (1999) by including the HR offshoring phenomenon and a dynamic perspective.

While the analysis is mostly conceptual, the authors ground the author’s arguments in offshoring data from the Offshoring Research Network, to explore whether the drivers for offshoring HR differ from the drivers for offshoring other administrative activities. The idiosyncrasy of the HR function is supported by the authors’ exploratory analysis and also by the descriptive case of a multinational and its experience with offshoring.

A coevolutionary model is proposed for understanding the behaviour of companies offshoring their HR activities. This study contends that companies should address their decision to offshore HR activities from a dynamic perspective, being aware of three processes that are in constant change: the evolution of the HR function, the evolution of service providers, and the evolution of offshoring decisions.

This study seeks to make a threefold contribution to the international business, strategy, and HR management disciplines.

Human resources (HR) department managers play an important role in the processes of defining and implementing organizational strategies. From this perspective, decisions made by HR managers directly influence organizations’ competitiveness. There is a gap in the literature related to decision-making processes by these managers, particularly with respect to the subjective elements involved in them. This paper’s aim is to analyze HR managers’ strategic decision-making processes from the perspective of reflective practice.

A qualitative study was conducted based on an analysis of five HR department managers’ strategic decision-making processes.

The results indicate that reflection-in-action is one possibility for narrowing the gap between action and reflection in management practice, as this could contribute to improving strategic decisions; HR managers’ decisions are delimited by internal and external organizational issues; and these decisions involve intensive information sharing.

The results of this research contribute to extend the existing knowledge on reflection, one of the subjective elements that influences decision-making processes, and which has been identified as a subject in need of research by several authors (Eisenhardt and Zbaracki, 1992; Hambrick, 2007; Langley et al., 1995; Nutt, 2010).

A better understanding of HR managers’ decision-making processes, particularly in the Brazilian context, which other organizations can use as examples of alternative choices for HR departments strategic management. For managers, reflection-in-action facilitates an effective decision-making process, increases self-knowledge, contributes to the processes of individual and organizational learning and improves managers’ global overview of their organizations.

These results represent a development in understanding one of the subjective elements of HR department managers’ decision-making processes – reflection – and should help to improve the results of strategic decisions by these managers and by managers of other organizational departments.

The purpose of this paper is to identify the extent to which human resources (HR) decision making is influenced by the social context of school systems. More specifically, this study draws upon organizational theory focussed on the microfoundations of organizations as a lens identify key aspects of school HR decision making at the district and school level.

Interview data were collected from district-level HR directors and local union presidents across 11 districts in Michigan and Indiana. The interviews provided information on the formal and informal aspects HR management. The interviews were audio recorded and transcribed, and the constant comparative method was used to move from initial codes to higher levels of abstraction (Miles and Huberman, 1994; Strauss and Corbin, 1990). Multiple data collection methods were utilized to help validate the interview data that were collected (Stake, 2004).

The key findings show that social relationships, particularly at the school level, influence the distribution of teachers within a district. The findings support the need for closer attention to be given to the social dynamics of school systems and the impact this has on HR decision making, particular with regard to the influence of informal organizational structures and day-to-day interactions within systems.

The current body of research does not fully attend conceptually or empirically to the broader social context of a school system which shape HR decisions. Specifically, researchers and practitioners need to further address the ways that the social dynamics of school systems shape administrative decision making with regard to HR management.

This paper aims to examine the influence of the emotional intelligence (EI) of the human resources (HR) decision-maker on firm performance in small and medium-sized enterprises (SMEs), as well as the possible mediating role of the use of a system of HR practices in that relationship.

The research involves a sample of 157 managers responsible for HR in SMEs. SMEs are examined because in these firms, decisions are not usually adopted on a collegiate basis. It makes these firms an ideal context for studying the relationship between HR decision-maker’s EI and firm performance.

Results show that the HR decision-maker’s EI determines firm performance in terms of generation of valuable HR and financial outcomes. They also confirm the mediating role of the system of HR practices in that relationship.

This research suggests that an adequate understanding of the importance of EI can guide efforts to boost SMEs competitiveness. Thus, as SMEs are an important part of the business fabric in the majority of developed economies, the implications of this study are significant.

Findings in this research suggest that the workplace is not managed exclusively on a cognitive basis since emotional competences may play an important role in the HR management and SMEs’ performance.

Data visualizations in some form or another have served as decision-support tools for many centuries. In conjunction with advancements in information technology, data visualizations have become more accessible and more efficient to generate. In fact, virtually all enterprise resource planning and human resource (HR) information system vendors offer off-the-shelf data visualizations as part of decision-support dashboards as well as stand-alone images and displays for reporting. Plus, advances in programing languages and software such as Tableau, Microsoft Power BI, R, and Python have expanded the possibilities of fully customized graphics. Despite the proliferation of data visualization, relatively little is known about how to design data visualizations for displaying different types of HR data to different user groups, for different purposes, and with the overarching goal of improving the ways in which users comprehend and interpret data visualizations for decision-making purposes. To understand the state of science and practice as they relate to HR data visualizations and data visualizations in general, we review the literature on data visualizations across disciplines and offer an organizing framework that emphasizes the roles data visualization characteristics (e.g., display type, features), user characteristics (e.g., experience, individual differences), tasks, and objectives (e.g., compare values) play in user comprehension, interpretation, and decision-making. Finally, we close by proposing future directions for science and practice.

The purpose of this paper is to examine the influence of the emotional intelligence (EI) of the person in charge of making human resource management (HRM) decisions on the adoption of high-performance human resource (HR) practices in small- and medium-sized enterprises (SMEs).

This study takes evidences from 157 HR decision makers in SMEs who autonomously make the decisions in the HR area and were responsible for the HR practices in their firm. The authors used multiple linear regression analysis to test the hypotheses.

Results show that both the EI and the different EI competencies of which it is comprised affect the adoption of various HR practices. Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

First, the sample of firms the authors studied is limited to a specific geographic area in one country – Spain (Canary Islands) – that will necessarily limit generalisation of the results obtained to other populations of SMEs. Researchers should replicate the current model in other geographic areas. Second, and with regard the methodology, researchers could explore other tools to measure EI and emotional competencies. It would be interesting to measure this construct using qualitative analytical techniques, with 360 – or 180 – degree tools. Finally, the current study is cross-sectional in nature, which limits our ability to draw causal inferences from the data. This cross-sectional design prevents us, for example, from analysing EI’s influence on the continued development of high-performance HR practices over time. Future research using longitudinal methodologies to study these variables could provide additional advances in this area. This work makes important contributions to both the literature and the business world. With regard to the theoretical implications, results confirm that EI as a whole, as well as in terms of its specific emotional competencies, affects the decision making related to the adoption of high-performance HR practices, which is known to contribute to the organisational performance.

With regard its practical implications, SMEs’ owners-managers and HR practitioners may find our results and conclusions interesting. Indeed, recommendations in business management have often been accompanied by new approaches in HRM (Kent, 2005), as this study proposes. In particular, managers will find evidence of how a decision-maker’s higher EI propitiates the adoption of high-performance HR practices, thus being able to improve HRM in their SMEs. Moreover, managers will obtain guidance on which emotional competencies are the most important for adopting each HR practice, and so find greater success in their HRM roles. SMEs could organise programmes to develop the HR decision-maker’s emotional competencies, as large firms do for their executives.

Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

The purpose of this paper is to address gaps in the knowledge about human resource (HR) professional involvement in strategic decision-making in China compared with that in Australia.

First, the authors compare the strategic involvement of Chinese and Australian HR professionals. Second, based on the upper echelon theory, the authors compare the impact of chief executive officer (CEO) and top management team (TMT) between both countries on HR involvement in strategic decision-making. Data were collected from matched pairs of HR and TMT executives in China (n = 168) and in Australia (n = 102).

Results indicate a difference, despite of no statistical significance, in HR involvement in strategic decision-making between Chinese and Australian samples. TMT behavioural integration was positively related to HR involvement in strategic decision-making in a collectivistic culture (i.e. in China), but not in an individualistic culture (i.e. in Australia). However, CEO support for HRM was positively related to HR involvement in strategic decision-making in Australia, whereas it is not related in China.

The paper conducts a comparative study and practical, and research implications are discussed at the end.

This work examines the intersection between traditional human resource management and the novel employment arrangements of the expanding gig economy. While there is a substantial multidisciplinary literature on the digital platform labor phenomenon, it has been largely centered on the experiences of gig workers. As digital labor platforms continue to grow and specialize, more managers, executives, and human resource practitioners will need to make decisions about whether and how to utilize gig workers. Here the authors explore and interrogate the unique features of human resource management (HRM) activities in the context of digital labor platforms. The authors discuss challenges and opportunities regarding (1) HRM in organizations that outsource labor needs to external labor platforms, (2) HRM functions within digital labor platform firms, and (3) HRM policies and practices for organizations that develop their own spin-off digital labor platform. To foster a more nuanced understanding of work in the gig economy, the authors identify common themes across these contexts, highlight knowledge gaps, offer recommendations for future research, and outline pathways for collecting empirical data on HRM in the gig economy.