Designing a framework for using artificial intelligence in human resource management: An exploratory approach

Document Type : Original Article

Authors

1 Assistant Professor of management group, School of Management and Accounting, Hazrat Masoumeh University, Qom, Iran.

2 Associate Professor, Department of Management, Hazrat Masoumeh University, Qom, Iran.

3 M.A of MBA, Alzahra University, Tehran, Iran

10.22080/shrm.2023.4416

Abstract

The increasing growth of artificial intelligence (AI) as a new and fundamental technology has attracted the attention of many management researchers. In the field of human resources (HR),, AI is an expanding and unstoppable revolution that increases the importance of AI in HRM. Despite the growing desire of organizations to invest in AI, research that provides a comprehensive understanding of the dimensions of using AI in the field of HR for managers has not been done so far. Therefore, the aim of the current research is to provide a framework to use a systemic approach to identify the antecedents, processes and consequences of using AI in HRM. In terms of the method of data collection, the current research is a qualitative research and in terms of the goal, it has an exploratory approach, in order to extract the components of the proposed framework, open and in-depth interviews with experts have been conducted. The results of the analysis show that the antecedents were categorized into three groups including technological, competitive environment and organizational factors. The second facet of the model under the name of processes includes the selection and recruitment of talents, training and development, performance evaluation, service compensation and human resource retention. Finally, the consequences of using AI in HRMinclude consequences related to finance, internal process, people and growth and learning. Companies can use research findings to evaluate the advancement of human resource intelligence programs and benefit from it as guiding principles for the implementation of AI in HRM.

Keywords

References

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Journal of Sustainable Human Resource Management
Volume 5, Issue 9 - Serial Number 9
August 2023
Pages 284-263

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