Evaluating Reverse Supply Chain Efficiency: Manufacturer’s Perspective

Kumar, M. Raj; Tiwari, Manoj Kumar; Wong, Kuan Yew; Govindan, Kannan; Kuah, Chuen Tse

doi:10.1155/2014/901914

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…The population of this study consisted of environmental management system (EMS) ISO 14001-certified manufacturing firms in Malaysia. In Malaysia, EMS-certified companies showed better performance than non-certified companies in the reverse supply chain operations (Kumar et al, 2014 ). A population frame of 600 certified ISO 14001 manufacturing firms in Malaysia was established.…”

Section: Methodsmentioning

confidence: 99%

Fostering closed-loop supply chain orientation by leveraging strategic green capabilities for circular economy performance: empirical evidence from Malaysian electrical and electronics manufacturing firms

Shaharudin

Zailani

Tan

et al. 2023

Environ Dev Sustain

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In recent years, the concept of a circular economy (CE) has gained importance and attracted significant attention among scholars and practitioners. Research that examines the firm’s supply chain capabilities and orientation for performance is well established nonetheless still lacking in supporting the transition from a linear economy to a circular economy. The firms can foster a closed-loop supply chain orientation (CLSCO) through strategic green capabilities as an alternative obtainable to SC firms to achieve CE performance. Thus, this study is interested to examine the antecedents and outcomes of CLSCO by applying the Resource-Based View and Natural Resource-Based View theories. In total, 150 Malaysian manufacturers responded to the survey and were analysed using the SEM Lisrel method. Among the hypotheses tested, only one had no direct effect on CLSCO, and that was the recovery capacities. The remaining hypothesis indicates that CLSCO is positively affected by integration and production capabilities. In contrast, the results of CLSCO indicate that the extent of a company's CLSCO does affect its success in the circular economy. The study concludes, based on the RBV and NRBV principles, that the success of firms in optimising their resources would enable them to use the CLSCO and attain CE performance. Thus, there are numerous ways in which this study can provide practitioners with valuable research insights.

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Section: Methodsmentioning

confidence: 99%

Fostering closed-loop supply chain orientation by leveraging strategic green capabilities for circular economy performance: empirical evidence from Malaysian electrical and electronics manufacturing firms

Shaharudin

Zailani

Tan

et al. 2023

Environ Dev Sustain

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show abstract

“…It is an effective tool to analyze and measure the comparative efficiency for a set of Decision-Making Units (DMUs). DEA can be defined as a mathematical model and optimization used to measure the parallel efficiencies of a collection of equivalent organizations or attributes (generally stated as DMUs in the DEA literature) that utilizes more than one inputs and outputs to get the most optimized solution for the objective function [29].…”

Section: Dea Approachmentioning

confidence: 99%

Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students

2021

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In today's exceptionally demanding education domain, there is a critical need for higher education institutes to continuously improve their credibility and skill offerings for prospective students. More specifically, institutes need to know how they are evaluated and perceived by the prospective students. Though there are plethora of rating agencies that perform an independent evaluation, their assessment is primarily focused on internal institute practices rather than how students' needs and perceptions be captured. The objective of this study is to evaluate how students rank a higher education institute for taking admission that is the most crucial decision while starting their long-term career. Academic experts and prospective engineering students are surveyed using interviews and convenience sampling method. As a result, the problem evolves as a multi-criteria decision-making problem that considers numerous criteria simultaneously. Considering the relevant criteria as inputs and outputs, the Data Envelopment Analysis is employed to evaluate the weights corresponding to each criterion/factor. The model is then deployed as a linear programming formulation that is tackled using professional linear programming solver. The engineering stream, fees, location, and perceptions of employment opportunities are found as the top parameters that drive the decision of a prospective engineering student. The identified important factors, interests, and capabilities of the student are amalgamated for the selection of the appropriate engineering stream and institute, optimally. The insights are important for engineering institutes to strategize and align their offerings and marketing approach as per the needs and perceptions of prospective students. The study will also be helpful for international universities looking ahead for collaborative and individual opportunities in the Indian education sector.

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“…This study adopts the triangular fuzzy number [29] to quantify the subjective assessment of the relative importance of the individual index via linguistic terms. M = (L, M, R) is set, and its membership function µ M (x) : R → [0, 1] can be described as follows:…”

Section: Weight Computation Algorithmsmentioning

confidence: 99%

Big Data-Oriented Product Infant Failure Intelligent Root Cause Identification Using Associated Tree and Fuzzy DEA

Liu

et al. 2019

IEEE Access

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Evaluating Reverse Supply Chain Efficiency: Manufacturer’s Perspective

Cited by 7 publications

References 30 publications

Fostering closed-loop supply chain orientation by leveraging strategic green capabilities for circular economy performance: empirical evidence from Malaysian electrical and electronics manufacturing firms

Fostering closed-loop supply chain orientation by leveraging strategic green capabilities for circular economy performance: empirical evidence from Malaysian electrical and electronics manufacturing firms

Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students

Big Data-Oriented Product Infant Failure Intelligent Root Cause Identification Using Associated Tree and Fuzzy DEA

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