Title: The importance-performance analysis of lean human resource management themes

Authors: Mohammad Hossein Azadi; Mohammad Hakkak; Reza Sepahvand; Seyed Najmodin Mousavi

Addresses: Department of Public Administration, Faculty of Economic Sciences, Lorestan University, Khorramabad, Iran ' Department of Business Management, Faculty of Economics and Administrative Science, Lorestan University, Khorramabad, Iran ' Department of Public Administration, Faculty of Economic Sciences, Lorestan University, Khorramabad, Iran ' Department of Business Administration, Faculty of Economics and Management, University of Lorestan, Khorramabad, Iran

Abstract: Applying lean management to human resources (HR) talks about a technique that makes different organisation departments, particularly the human resources management (HRM), adhere to a set of executive policies and processes. This descriptive research of applied type was conducted on a statistical population including 23 senior managers working at the Social Security Organization (SSO) in Fars Province, Iran. In the qualitative phase of the study, semi-structured interviews were employed to collect the data, whose validity and reliability were endorsed using content validity ratio (CVR) and Cohen's kappa coefficient (κ), respectively. To analyse the qualitative findings, thematic analysis was also exercised. Upon examining the existing literature and the expert opinions, seven global themes, as well as 27 and 85 organising and basic themes were respectively identified. In the quantitative phase, a questionnaire was administered to collect the data. Afterwards, the themes obtained were investigated using the importance-performance analysis (IPA).

Keywords: human resource management; HRM; importance-performance analysis; IPA; fuzzy numbers; lean human resources; thematic analysis.

DOI: 10.1504/IJIDS.2024.142639

International Journal of Information and Decision Sciences, 2024 Vol.16 No.4, pp.360 - 382

Received: 03 Nov 2021
Received in revised form: 01 Feb 2022
Accepted: 25 Feb 2022
Published online: 14 Nov 2024 *

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