2022
DOI: 10.1016/j.seps.2021.101092
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Rethinking performance measurement models using a fuzzy logic system approach: a performative exploration on ownership in waste management

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Cited by 9 publications
(3 citation statements)
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“…Even while most studies employed secondary published data in the form of financial reports, annual reports, and other objective metrics of financial success like profitability, return on assets (ROA), return on investment (ROI), and others (Tafuro et al, 2022), other studies depending upon their theoretical settings involved subjective measures of FP. These studies are based on human resource and organizational performance (Delaney & Huselid, 1996; Guthrie, 2001; Wright et al, 1999; Youndt et al, 1996).…”
Section: Hypothesis Developmentmentioning
confidence: 99%
“…Even while most studies employed secondary published data in the form of financial reports, annual reports, and other objective metrics of financial success like profitability, return on assets (ROA), return on investment (ROI), and others (Tafuro et al, 2022), other studies depending upon their theoretical settings involved subjective measures of FP. These studies are based on human resource and organizational performance (Delaney & Huselid, 1996; Guthrie, 2001; Wright et al, 1999; Youndt et al, 1996).…”
Section: Hypothesis Developmentmentioning
confidence: 99%
“…[15], for their part, presented a fuzzy cognitive map as a method to develop strategies to optimize municipal waste management systems, taking into account systemic complexity and the participation of different stakeholders. Using a fuzzy logic expert system, [27] designed a performance measurement model for waste management systems that simultaneously considers profitability, financial characteristics, and efficiency. [30] employed fuzzy logic to address the complexities of sustainable solid waste management by handling qualitative information, uncertainties, and interrelationships among attributes.…”
Section: Analysis Using Fuzzy Logicmentioning
confidence: 99%
“…One of the major disadvantages of using MFRBS is that there is no particular systematic method to resolve a problem. Consequently, several solutions appear for a specific problem, leading to uncertainty [ 50 ]. Takagi and Mishio Sugno introduced the Takagi Sugeno inference system in 1985 to develop a systematic approach to producing fuzzy rules.…”
Section: Dematel Approachmentioning
confidence: 99%