When technology meets people: the interplay of artificial intelligence and human resource management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusra Qamar ◽  
Rakesh Kumar Agrawal ◽  
Taab Ahmad Samad ◽  
Charbel Jose Chiappetta Jabbour
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Research Agenda ◽  
Concept Map ◽  
Ethical Framework ◽  
Original Research ◽  
Content Type ◽  
Current State

PurposeAn original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art and prepare an original research agenda for future studies.Design/methodology/approachFifty-nine journal articles are selected based on a holistic search and quality evaluation criteria. By using content analysis and structural concept analysis, this study elucidates the extent and impact of AI application in HRM functions, which is followed by synthesizing a concept map that illustrates how the usage of various AI techniques aids HRM decision-making.FindingsA comprehensive review of the AI-HRM domain’s existing literature is presented. A concept map is synthesized to present a taxonomical overview of the AI applications in HRM.Research implications/limitationsAn original research agenda comprising relevant research questions is put forward to assist further developments in the AI-HRM domain. An indicative preliminary framework to help transition toward ethical AI is also presented.Originality/valueThis study contributes to the literature through a holistic discussion on the current state of the domain, the extent of AI application in HRM, and its current and perceived future impact on HRM functions. A preliminary ethical framework and an extensive future research agenda are developed to open new research avenues.

Quantifying human resource management: a literature review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clotilde Coron
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Literature Review ◽  
Human Resource Management ◽  
Human Resource ◽  
Design Methodology ◽  
Theoretical Framework ◽  
Data Sources ◽  
Content Type

PurposeWith a focus on the evolution of human resource management (HRM) quantification over 2000–2020, this study addresses the following questions: (1) What are the data sources used to quantify HRM? (2) What are the methods used to quantify HRM? (3) What are the objectives of HRM quantification? (4) What are the representations of quantification in HRM?Design/methodology/approachThis study is based on an integrative synthesis of 94 published peer-reviewed empirical and non-empirical articles on the use of quantification in HRM. It uses the theoretical framework of the sociology of quantification.FindingsThe analysis shows that there have been several changes in HRM quantification over 2000–2020 in terms of data sources, methods and objectives. Meanwhile, representations of quantification have evolved relatively little; it is still considered as a tool, and this ignores the possible conflicts and subjectivity associated with the use of quantification.Originality/valueThis literature review addresses the use of quantification in HRM in general and is thus larger in scope than previous reviews. Notably, it brings forth new insights on possible differences between the main uses of quantification in HRM, as well as on artificial intelligence and algorithms in HRM.

Green human resource management: a comprehensive review and future research agenda

2019 ◽  
Vol 41 (7) ◽  
pp. 845-878 ◽  
Author(s):  
Nhat Tan Pham ◽  
Hung Trong Hoang ◽  
Quyen Phu Thi Phan
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Research Agenda ◽  
Future Research ◽  
Research Gaps ◽  
Content Type ◽  
Research Framework ◽  
Future Research Agenda ◽  
Green Human Resource Management

Purpose Green human resource management (GHRM), seen as a current research trend, plays an important role in organizations’ sustainable development strategies. However, there is still a research gap in the systematization and integration of the available GHRM-related knowledge to suggest detailed future directions. Thus, the purpose of this paper is to conduct a systematic literature review on GHRM aimed at proposing detailed research gaps and agendas for future study. Design/methodology/approach First, this work reviews 74 articles, including 61 research/empirical articles and 13 review articles, linked with the GHRM field from the Scopus and Web of Science databases. These publications are then coded and classified into ten categories before the main findings linked with GHRM knowledge are identified. Last, the study addresses existing research gaps and proposes detailed recommendations and a research framework for further studies. Findings Analysis of the relevant literature is presented in the following main sections: an overview that illustrates the existing findings related to GHRM coded and classified; a description that stresses research gaps and proposes in detail 16 recommendations; and a research framework that focuses on GHRM for a future research agenda. Originality/value This review is important for researchers orient the research in GHRM by identifying research gaps and providing detailed recommendations. It is the first work that proposes a full research framework for future studies, especially suggestions of development related to green behavior outside of organizations, the circular economy, and technology based perspectives/Industry 4.0.

scholarly journals USING ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT PROCESSES

2020 ◽  
pp. 14-21
Author(s):  
A. V. Blinnikova ◽  
D. K. Ying
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Recognition System ◽  
Digital Transformation ◽  
Current State ◽  
Management Processes ◽  
Facial Recognition System

During the digital transformation, artificial intelligence technologies are actively developed and implemented in the organization’s management processes. This trend also applies to human resource management. The purpose of this article is to substantiate the benefits of using artificial intelligence tools in human resource management for organizations. Current state of human resource management has been analysed in the article, its main problems have been defined. The opportunities offered by artificial intelligence technologies offer in the field of human resources as well as the problems companies face in their implementation have been considered. Practical examples of the use of artificial intelligence tools such as chatbots, mood analysis technologies, voice assistants, facial recognition system in the field of human resource management have been given.

Sustainable human resource management: a systematic review of a developing field

2020 ◽  
Vol 11 (3) ◽  
pp. 295-324
Author(s):  
Alex Anlesinya ◽  
Pattanee Susomrith
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Research Agenda ◽  
Well Being ◽  
Future Research ◽  
Research Attention ◽  
Content Type ◽  
Hrm Practices ◽  
Future Research Agenda

Purpose This study aims to systematically review sustainable human resource management (HRM) research with the aim of establishing its research themes, methods and contextual focus to develop a better understanding of the state of the field and the gaps in the research, as well as to propose a future research agenda. Design/methodology/approach This study uses a systematic literature review method that involves the use of 122 studies from six reputable databases covering January 2003 to March 2020. Findings There is an over-concentration on the ecological perspective of sustainable HRM and managers dominate the examined population. Moreover, there are geographical imbalances in sustainable HRM research. More so, the idea of bundling sustainable HRM practices together has received scanty research attention relative to the individual sustainable HRM best practices. Consequently, from a strategic HRM perspective, the authors highlight various ways to bundle sustainable HRM practices together. Also, the authors suggest that the ability-motivation-opportunity enhancing (AMO) theory’s perspective provides particularly useful means for this investigation. Furthermore, the findings suggest that sustainable HRM can influence organisations to become more competitive and effective in their quests to ensure economic prosperity, social well-being and ecological outcomes for their stakeholders. Practical implications The evidence reveals that there are significant gaps in the literature on the topic and confirms that the field is still at its developmental stage. Hence, there is a need for more rigorous research on the topic to help develop a better understanding of this new field. Originality/value This study contributes by providing the first comprehensive review of sustainable HRM themes, methods and contextual focus and by proposing future research agenda. It, therefore, offers a valuable point of departure for those moving into the sustainable HRM domain, as well as valuable insights for those already working in this space.

scholarly journals Global organizations and supply chain

2014 ◽  
Vol 44 (8/9) ◽  
pp. 689-712 ◽  
Author(s):  
Miguel González-Loureiro ◽  
Marina Dabic ◽  
Francisco Puig
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Human Resource Management ◽  
Competitive Advantage ◽  
Human Resource ◽  
Research Agenda ◽  
Intellectual Structure ◽  
Global Organizations ◽  
Content Type ◽  
Upper Echelons Theory

Purpose – The purpose of this paper is to aim at proposing a research agenda in the intersection of strategic supply chain management and logistics (SCML) of global organizations from the perspective of international human resource management (IHRM). Design/methodology/approach – To disclose the intellectual structure of research to date across both fields, the content of up to 280 articles dealing with IHRM and 174 papers addressing challenges in SCML in global organizations from a human resource management (HRM) viewpoint were analyzed. A stepwise hierarchical cluster and discriminant analysis were conducted to map a joint research agenda. Approaches from Upper Echelons theory and Co-Evolutionary theory of global organizations were adopted. Findings – Top management teams (TMT) are crucial to manage SCML successfully in today’s global organizations. Research on this intersection should draw attention to find antecedents, consequences and the process showing how those talented people grouped in dispersed teams can be a source of competitive advantage. Six different areas of research are proposed. It is proposed that future research should focus on the human capital (HC); meaning those key individuals of an organization that make things happen. In the near future, the global organization’s competitiveness will be shaped by how the organization manages its HC in SCML. Methodologies such as meta-analysis are suggested to summarize the extant literature on IHRM when applied to SCML in global organizations. Research limitations/implications – The search was conducted in SSCI-ISIWoK and Scopus databases. As a limitation, some articles and other scientific contributions not abstracted there were not included. Nevertheless, both searches enabled obtaining balanced results between scope and richness of content. Originality/value – Only a marginal portion of literature reviews have been conducted by using mixed methods in the fields of IHRM and SCML. The results will be useful for scholars of both fields in their attempts to enlarge the knowledge boundaries in these areas. From a practitioner’s viewpoint, this research may provide an integrative framework for global organizations to build a competitive advantage based on managing HC and its SCML strategically.

scholarly journals Evolving uses of artificial intelligence in human resource management in emerging economies in the global South: some preliminary evidence

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nir Kshetri
Keyword(s):  
Artificial Intelligence ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Positive Impact ◽  
Global South ◽  
Preliminary Evidence ◽  
Scientific Basis ◽  
Content Type ◽  
Recruitment And Selection

Purpose The purpose of this paper is to examine the use of artificial intelligence (AI) in human resource management (HRM) in the Global South. Design/methodology/approach Multiple case studies of AI tools used in HRM in these countries in recruiting and selecting as well as developing, retaining and productively utilizing employees have been used. Findings With AI deployment in HRM, organizations can enhance efficiency in recruitment and selection and gain access to a larger recruitment pool. With AI deployment in HRM, subjective criteria such as nepotism and favoritism are less likely to come into play in recruitment and selection of employees. AI deployment in HRM also has a potentially positive impact on the development, retainment and productive utilization of employees. Research limitations/implications AI is an evolving technology. Most HRM apps have not gained enough machine learning capabilities with real-world experience. Some of them lack a scientific basis. AI in HRM thus currently affects only a tiny proportion of the population in the GS. Practical implications The paper explores the roles of AI in expanding recruitment pools. It also advances our understanding of how AI-based HIRM tools can help reduce biases in selecting candidates, which is especially important in the Global South. It also delves into various mechanisms by which AI helps in the development, retainment and productive utilization of employees. Originality/value We provide details of various mechanisms by which AI brings input and output efficiencies in recruitment and selection in these countries.

The effect of high-involvement human resource management practices on supply chain integration

2015 ◽  
Vol 45 (8) ◽  
pp. 716-746 ◽  
Author(s):  
Baofeng Huo ◽  
Zhaojun Han ◽  
Haozhe Chen ◽  
Xiande Zhao
Keyword(s):  
Supply Chain ◽  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Estimation Method ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
High Involvement ◽  
Content Type ◽  
Hrm Practices

Purpose – Taking an interdisciplinary approach, the purpose of this paper is to combine concepts from human resource management (HRM) and supply chain management (SCM) fields and explore the effects of high-involvement HRM practices on supply chain integration (SCI). Design/methodology/approach – Using empirical survey data collected from ten countries, the authors examine the specific effects of three dimensions of high-involvement HRM practices – employee skills, incentives and participation – on three types of SCI – internal integration, supplier and customer integration. The authors use structural equation modeling and the maximum-likelihood estimation method to test the proposed relationships. Findings – The results confirm the overall relevancy of HRM to SCI. However, several proposed links are not supported by the data collected. Originality/value – This study makes both theoretical and managerial contributions by empirically examining the interface between HRM and SCI. More specifically, it examines the effects of different high-involvement HRM practices on different types of SCI. The findings will not only help researchers to better understand the interface, but will also guide managers in adjusting HRM practices to achieve desired operational goals.

Research on HRM Based on Knowledge System

2014 ◽  
Vol 687-691 ◽  
pp. 4894-4897
Author(s):  
Xin Zhao
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Human Resource ◽  
Human Resources Management ◽  
Rapid Change ◽  
Design Organization ◽  
Resources Management ◽  
Current State ◽  
System Requirements ◽  
Basic Ideas

We are in an era of rapid change and the gradual opening of changes push us to make a lot of new theories and thinking to deal with the problems faced very different from previous close, and open and at the same time so that we can think about making reference to external experience. In this case, how should the planning, design, organization and implementation of both compatible with the current state of the personnel system requirements for the current situation of reform, but also has certain forward-looking human resources management system, is currently engaged in human resource management for all staff challenge. Based on this, the era of knowledge from four aspects of human resource management and knowledge management integration were discussed and presented the basic ideas.

Battling COVID-19 with human resource management bundling

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arosha S. Adikaram ◽  
N.P.G.S.I. Naotunna ◽  
H.P.R. Priyankara
Keyword(s):  
Resource Management ◽  
Human Resource Management ◽  
Crisis Management ◽  
Human Resource ◽  
Qualitative Methodology ◽  
Health And Safety ◽  
Employee Motivation ◽  
Health Crisis ◽  
Content Type ◽  
Hrm Practices

PurposeThis paper aims to present an empirically driven crisis management framework of complementary human resource management (HRM) bundles that can be utilized in simultaneously managing the health crisis, financial crisis and disruptions to business operations through lockdown and other government restrictions propelled by the COVID-19 pandemic.Design/methodology/approachThe framework is developed employing qualitative methodology, drawing from the successful HRM practices adopted by 26 Sri Lankan companies in battling the many crises of COVID-19 and using the soft HRM approach as the theoretical basis.FindingsThe findings report a framework that consists of three key HRM bundles (health and safety bundle, cost-saving bundle and employee motivation and engagement bundle) entailing an array of inter-related, internally consistent, complementary and mutually reinforcing HRM practices and HRM activities. These HRM bundles and the HRM practices as well as the HRM activities therein, indicate how a softer approach to managing employees can be used during a crisis.Practical implicationsThe framework will inform the HRPs of the HRM bundles, HRM practices and HRM activities that can be used to manage the multiple crises created by COVID-19 and other similar pandemics.Originality/valueThe study contributes to and expands the knowledge of HRM in crisis management generally and HRM in a global pandemic more specifically.

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