Identifying and weighting of dimensions and indicators of individual job performance using fuzzy Delphi and fuzzy analytic hierarchy process techniques
International Journal of Workplace Health Management
ISSN: 1753-8351
Article publication date: 27 December 2021
Issue publication date: 18 January 2022
Abstract
Purpose
The purpose of the study was to identify and weight the dimensions and indicators of individual job performance (IJP).
Design/methodology/approach
To identify dimensions and their measuring indicators, a literature review was conducted in PubMed, Embase™, ProQest, Scopus®, Web of Science™ and Google Scholar. Based on the results of the literature review and consensus among the research team, dimensions and measuring indicators were identified and an IJP framework was constructed. For weighting dimensions and indicators, fuzzy analytical hierarchy process (FAHP) and fuzzy Delphi technique (FDT) were conducted, respectively.
Findings
Based on the results, the conceptual framework showed that IJP consisted of four dimensions as follows: task performance (TP), contextual performance (CP), counterproductive work behaviors (CWBs) and adaptive performance (AP). The results of FAHP showed that TP (0.358) had the highest weighting in measuring IJP. The weight of CWBs, CP and AP was 0.302, 0.244 and 0.096, respectively. The results showed that 102 indicators were identified to measure the dimensions. Using the FDT, 45 indicators were accepted and 57 were rejected. Of the accepted indicators, 12 indicators belonged to TP. In addition, 11, 12 and 10 belonged to CP, CWBs and AP, respectively.
Research limitations/implications
The results of the article can be useful in research and practice and bridge the gap between theory and practice. In the research area, the researchers can use this model to develop questionnaires for evaluating IJP in all occupations. The researchers can choose the most effective dimensions or indicators in accordance with the corresponding occupation. Moreover, the results can be used in practice (economic and commercial impact), teaching, influencing public policy and helping to establish a more complete knowledge system.
Originality/value
In order to select dimensions and their measuring indicators, the work in the study took the unique approach to employ powerful decision-making methods combined with fuzzy methods to remove any ambiguity in opinions.
Keywords
Acknowledgements
The authors appreciate all experts participating in this study.
Funding: This study is extracted from a Ph.D. thesis approved and supported partially by the Tehran University of Medical Sciences.
Citation
Abbasi, M., Monazzam, M.R., Arabalibeik, H. and Shamsipour, M. (2022), "Identifying and weighting of dimensions and indicators of individual job performance using fuzzy Delphi and fuzzy analytic hierarchy process techniques", International Journal of Workplace Health Management, Vol. 15 No. 1, pp. 99-112. https://doi.org/10.1108/IJWHM-04-2020-0065
Publisher
:Emerald Publishing Limited
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