Ranking organisational units with a human capital management approach using fuzzy TOPSIS: a case study

Tavakoli, Mohammad Mehdi; Esfahani, Ali Nasr; Shirouyehzad, Hadi

doi:10.1504/ijsom.2013.056143

Cited by 4 publications

(4 citation statements)

References 37 publications

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“…On the other hand, TOPSIS computes the performance ranking by determining the fuzzy positive ideal solution and fuzzy negative ideal solution and the distance of any alternative from them to obtain the relative closeness coefficient. Other researchers who have used fuzzy TOPSIS are such as Tavakoli et al (2013) and Lai and Yussof (2015).…”

Section: Discussionmentioning

confidence: 99%

Advances in intellectual capital performance measurement: a state-of-the-art review

Lee

Wong

2019

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Purpose The purpose of this paper is to present a review on the latest developments, approaches and methods in intellectual capital (IC) performance measurement. Design/methodology/approach A total of 53 research papers from high-ranking journals concerning the advances in IC performance measurement were thoroughly reviewed and classified to identify the advanced approaches and methods that have been used to evaluate IC performance. Findings It is clear that the current application of advanced or intelligent methods in IC performance measurement is still at the primary stage. The reviewed approaches mainly focus on two core applications. First is to assist the data collection or data handling process and second is to enhance the result computation process to obtain a more reliable and realistic value that represents the performance of IC. Research limitations/implications This study offers a foundation and guideline for the researchers who wish to integrate advanced methods into IC performance measurement based on the reviewed advanced approaches in terms of their respective functions, strengths and limitations. It stimulates the creation of new IC performance measurement models that use advanced approaches to cope with real-life problems and dynamic conditions. Originality/value This paper contributes to the literature on IC performance measurement, in light of advances in technology. In general, five advanced approaches were identified, analyzed and discussed. Future research directions were presented to provide new insights for researchers to apply advanced methods in IC performance measurement, together with theoretical and managerial implications.

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Section: Discussionmentioning

confidence: 99%

Advances in intellectual capital performance measurement: a state-of-the-art review

Lee

Wong

2019

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“…Movahedi et al (2015) used PCA in identifying the principal components of human capital management (HCM) and reported that EE and workforce optimization are its main components. Tavakoli et al (2017) relied on PCA-DEA-SEM approach PCA-DEA in evaluating the performance of a company by HCM approach, with the consideration of EE as one of the HCM indicators based on leadership practices and EE, knowledge accessibility, workforce optimization and learning capabilities as inputs and organizational commitment as an output. Azadeh et al (2011) also used PCA-DEA integration to assess the productivity of personnel, and their impact on efficiency, based on a set of quantitative inputs as well as skills and abilities, job qualifications, responsibility, innovation, motivation and relationships as outputs.…”

Section: Psychological Empowerment As a Determinant Of Employee Engag...mentioning

confidence: 99%

“…Also, Aristovnik et al (2016) assessed organizational performance based on the relationship between job satisfaction and several performance-related indicators in Slovenia. Tavakoli et al (2017) used Fuzzy-DEA to determine the factors affecting organizational units efficiency in Iran based on human capital practices. As an extension of these studies, Rani and Mat (2020) relied on human resource management (HRM) practices and employee commitment as inputs and outputs, respectively, in evaluating the performance of hotel workers in Malaysia.…”

Section: Review Of Literaturementioning

confidence: 99%

Organizational performance assessment based on psychological empowerment and employee engagement: PCA-DEA-SEM approach

Mousa

Kamel²

2022

JM2

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Purpose This study aims to examine performance assessment of organizational units through psychological empowerment (PE) and employee engagement (EE) approach and whether this relationship differs among efficient and inefficient organization units. Design/methodology/approach This study drew on merging the principal component analysis (PCA), data envelopment analysis (DEA) and partial least square-multigroup analysis (PLS-MGA) to benchmark the performance of organizational units affiliated with Zagazig University in Egypt using PE dimensions as inputs and EE as output. Besides investigating whether PE inputs have the same effect among efficient and inefficient units. Findings Performance assessment based on independent data showed that all the investigated organizational units are not at the same efficiency level. The results revealed that there are eight efficient units versus seven inefficient ones. Moreover, PLS-MGA results demonstrated that no significant differences concerning the impact of PE inputs on EE between efficient and inefficient units groups. Nevertheless, the effect of these inputs was slightly higher in the former. Originality/value Studies on EE performance in the service sector are scarce in the literature, this study is a novel contribution of exploring EE efficiency in Egypt as a developing economy. Specifically, using the PCA-DEA-structural equation modeling approach.

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“…The philosophy behind the use of fuzzy multi-state network for the same was probably to measure the labour capacity and its impact on workstation performance with utmost accuracy in presence of the uncertainties in human performance (Azadeh et al, 2014). In another study, Tavakoli et al (2013) had shown that TOPSIS technique could be a better option for ranking the performances of employees even while using linguistic variables and presence of high level of information asymmetry. Alternatively, some of the earlier researches used the data envelope analysis approach of fuzzy modelling for measuring employees' performance index (Arabzad et al, 2013).…”

Section: Review Of Literaturementioning

confidence: 99%

Designing a fuzzy approach for modelling the performance evaluation of education service providers

Das

Mukherjee

2017

IJSOM

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Faculty performance evaluation is an all-time controversial issue. Especially, in the developing countries where, instead of any scientific and standardised measurement techniques the appraisal mostly depends on the qualitative judgment of the academic administrators (e.g., vice chancellors, principals, HODs or deans), such discontents and controversies are bound to happen. Hence a comprehensive performance measurement tool is called for performance measurement of educators which could be used for their promotion decisions. This paper proposes the design of an evaluation system for necessary promotion of an academic employee in an institution using fuzzy logic approach. An integrated two-layered fuzzy inference system (FIS) has been designed taking into consideration all the features of the system. Finally, the defuzzified output has been compared finally with a laid-down standard to conclude whether a particular faculty member has to be recommended for promotion or not.

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Ranking organisational units with a human capital management approach using fuzzy TOPSIS: a case study

Cited by 4 publications

References 37 publications

Advances in intellectual capital performance measurement: a state-of-the-art review

Advances in intellectual capital performance measurement: a state-of-the-art review

Organizational performance assessment based on psychological empowerment and employee engagement: PCA-DEA-SEM approach

Designing a fuzzy approach for modelling the performance evaluation of education service providers

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