Approaches to performance appraisal in TQM-driven organizations : does control vs learning approach matter?
Soltani, Ebrahim and Liao, Ying-Ying and Iqbal, Abdullah and van der Meer, Robert (2024) Approaches to performance appraisal in TQM-driven organizations : does control vs learning approach matter? Production Planning and Control, 35 (12). pp. 1429-1450. ISSN 0953-7287 (https://doi.org/10.1080/09537287.2023.2189638)
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Abstract
While prior studies provide insights into how Total Quality Management (TQM) and Performance Appraisal (PA) are incongruent, they rarely offer any compelling evidence that identifies the reasons behind the incongruence. We argue that the ‘why’ of TQM goals (i.e. control and learning) have consequences for the PA processes and purposes. Drawing from attribution theory and the duality inherent in TQM, our aim is to investigate how an organization’s preferred approach to TQM could result in different PA processes and purposes, particularly in relation to the manager’s understanding, diagnosis, and attributions of employee performance variation. To reach this purpose, a qualitative, inductively oriented investigation was conducted. Our findings suggest the disutility of a unilateral focus on either control or learning in terms of designing a PA system solely for the purpose of supporting one goal at the expense of the other. Rather, mutual understanding of the causes of performance variation and a recognition of shared responsibility for performance outcomes should become the core of the organization’s approach to TQM—if the PA system is to achieve the aim of continuous quality improvement and learning. We also present several working propositions that not only delineate how each goal of TQM could lead to different PA processes and purposes but also are of value to guide future research.
ORCID iDs
Soltani, Ebrahim, Liao, Ying-Ying, Iqbal, Abdullah and van der Meer, Robert ORCID: https://orcid.org/0000-0002-9442-1628;-
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Item type: Article ID code: 85595 Dates: DateEvent9 September 2024Published11 May 2023Published Online27 February 2023AcceptedSubjects: Social Sciences > Industries. Land use. Labor > Management. Industrial Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 23 May 2023 11:00 Last modified: 12 Dec 2024 14:44 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/85595