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Behavioural factors on the adoption of sustainable supply chain practicesKumar, Anil; Moktadir, Md. Abdul; Rehman Khan, Syed Abdul; Garza-Reyes, Jose Arturo; Tyagi, Mrinal; Kazançoğlu, Yiğit; University of Derby; University of Dhaka, Bangladesh; Tsinghua University, Beijing, China; BML Munjal University, Gurgaon, India; et al. (Elsevier, 2020-02-05)Sustainable supply chain management (SSCM) has become a popular research topic among scholars as evidence suggests it has significantly contributed to achieve more environmentally conscious and socially responsible supply chains. Operational excellence (OE), on the other hand, can be achieved by incorporating SSCM practices within existing supply chain operations. However, due to human expertise, involvement and commitment towards excelling at sustainable and operational performance, the effective deployment of SSCM practices now depends on various humanbased behavioural factors (BFs). Human behaviour is dynamic in nature and hence has an effect on the implementation of SSCM practices. Nevertheless, research on BFs in view of SSCM practices is limited. To fill this knowledge gap, this study examines the nature of BFs for SSCM practices towards OE in supply chains, particularly within the context of the footwear industry of Bangladesh. In the first phase, the BFs were identified and determined through a literature review and empirical investigation. In the second phase, the Hesitant Fuzzy DEMATEL method was used to establish the cause-effect relationships among the factors. The influence of group validation by experts and a literature survey, along with managerial implications, was discussed and explained in the third phase of the study. The results suggest that the factor, 'organisation culture' is the most influencing behavioural factor, followed by 'commitment from higher authority'. Both theoretical and practical contributions of the study are drawn from its findings, helping footwear industry managers to more effectively adopt SSCM practices in the supply chain operations of their organisations to achieve OE.
Decision making for risk evaluation: integration of prospect theory with failure modes and effects analysis (FMEA)Sagnak, M; Kazancoglu, Y; Ozkan Ozen, Y.D; Garza-Reyes, J.A.; Izmir Katip Celebi University, Izmir, Turkey; Yasar University, Izmir, Turkey; University of Derby (Emerald, 2020-08-22)The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation. Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the Prospect Theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their RPNs. In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts. The results are very much in line with Prospect Theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm’s attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure, and operator failure, respectively. The originality of this paper consists in integrating Prospect Theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA’s Risk Priority Numbers (RPNs).