Identifying key performance factors for sustainability development of SMEs – integrating QFD and fuzzy MADM methods

Hsu, Chih-Hung; Chang, An-Yuan; Luo, Wei

doi:10.1016/j.jclepro.2017.05.063

Cited by 174 publications

(142 citation statements)

References 92 publications

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“…Research on the links between firm size, SSCM, and sustainable performance is still in its infancy, particularly research on SSCM in developing countries [9]. Existing studies mostly focused on organizational environment, social environment, and supply chain members' management.…”

Section: Hypothesis 5c(h5c) Firm Size Positively Moderates the Relatmentioning

confidence: 99%

“…Further, empirical studies on SSCM on developing economy enterprises and SMEs are scant. Enterprises need a framework to help them to identify and implement their sustainability development schemes [9]. The purpose of this paper is to verify the moderating role of firm size on sustainable supply chain management (SSCM) practices and performance, and, furthermore, to reveal the different impacts of SSCM practices on the performance of different firm size categories in China.…”

Section: Introductionmentioning

confidence: 99%

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Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management

2018

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Abstract:In the context of the Chinese government's strategy for sustainable development, the study of sustainable supply chain management (SSCM) for enterprises has important practical significance. Drawing data from 172 Chinese firms, the model studied the moderating role of firm size on the SSCM practices and the sustainable performance of the firms (economic, environmental, and social), using hierarchical regression analysis on SPSS 22.0. The results suggest that SSCM practices and firm size are positively related to the firm's environmental and social performance. Firm size moderates the effect of SSCM practices on economic performance. Additionally, SSCM internal practices have a significant positive impact on the economic performance of large enterprises, but not so much on the economic performance of the Small and medium enterprises(SMEs). This paper proposes a comprehensive SSCM practice performance model that identifies firm size as a moderating role. Through research on the moderating effect of firm size, the implementation and recommendation of SSCM for different firm size are given.

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Section: Hypothesis 5c(h5c) Firm Size Positively Moderates the Relatmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management

2018

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“…The QFD model, integrating with fuzzy theories and MCDM methods, has been widely investigated by many scholars [29]. For instance, analytical network process (ANP) and fuzzy logic were utilized to structure the intensive QFD framework by Zaim et al [30].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Abdel-Basset, Manogaran [31] presented a QFD method where analytical hierarchy process (AHP) was adopted to determine the weights of CRs. Hsu et al [29] developed a new QFD approach with fuzzy Delphi method. Wu et al [32] proposed a two-phase robust fuzzy QFD procedure to assess the service station for nail catering service.…”

Section: Literature Reviewmentioning

confidence: 99%

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Song

Wang

2020

Mathematics

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Quality function deployment (QFD) is a useful design quality control tool in service enterprises and manufacturing enterprises. However, there are several issues in extant QFD frameworks, that is, in three aspects: description of evaluation information, weight determination of expert team members (TMs), and weight identification of customer requirements (CRs). In order to address these issues, a novel QFD framework is first proposed utilizing linguistic Z-numbers (LZNs) with integrated subjective and objective weights of TMs and CRs. The LZNs can represent uncertain information and the reliability of information in a specific way while the fuzzy numbers cannot. Moreover, the order relation analysis (G1) method and improved maximum consensus (MC) method are developed to get the subjective and objective weights of TMs, respectively. Further, the step-wise weight assessment ratio analysis (SWARA) method and statistical distance (SD) method are studied to acquire combined weights of CRs. Next, the proposed QFD framework is applied to a case of logistics service provider, which illustrates the availability and utility of the framework. Then, a sensitivity analysis is conducted to prove the reliability of the framework. Finally, two comparative analyses are performed to declare the advantages of the framework. Results indicate the proposed QFD framework is better than existing models.

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“… How the effects of artificial and natural fractures on each other; hence, their effects should be properly studied [6,[7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Analytical Hierarchy Process (FAHP) for Selecting the Suitable Hydraulic Fracturing Method in Oil Recovery Enhancement

2018

International Journal of Petroleum and Petrochemical Engineerin

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Identifying key performance factors for sustainability development of SMEs – integrating QFD and fuzzy MADM methods

Cited by 174 publications

References 92 publications

Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management

Moderating the Role of Firm Size in Sustainable Performance Improvement through Sustainable Supply Chain Management

New Framework for Quality Function Deployment Using Linguistic Z-Numbers

Application of Fuzzy Analytical Hierarchy Process (FAHP) for Selecting the Suitable Hydraulic Fracturing Method in Oil Recovery Enhancement

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