2020
DOI: 10.1108/jm2-09-2018-0139
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Structural equation modelling – FTOPSIS approach for modelling barriers to product development in medical device manufacturing industries

Abstract: Purpose The purpose of this paper model and prioritizes barriers to product development in medical device manufacturing industries using an integrated “structural equation modelling” (SEM) and “fuzzy technique for order performance by similarity to ideal solution” (FTOPSIS) framework. Design/methodology/approach Barriers to medical device development (MDD) are adopted from literature. The initial structural model is proposed, exploratory factor analysis and confirmatory factor analysis are used to determine … Show more

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Cited by 9 publications
(5 citation statements)
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“…Notably, SEM is particularly valuable for testing hypotheses in complex models involving a multitude of variables and relationships. Numerous researchers have extensively utilized SEM in the healthcare sector, as evidenced by prior studies [56][57][58][59][60][61][62][63][64][65][66][67][68][69]. For example, Chandra, et al [22] applied SEM to assess key performance indicators in the vaccine supply chain′s impact on sustainable development [43].…”
Section: Questionnaire Design and Distributionmentioning
confidence: 99%
See 1 more Smart Citation
“…Notably, SEM is particularly valuable for testing hypotheses in complex models involving a multitude of variables and relationships. Numerous researchers have extensively utilized SEM in the healthcare sector, as evidenced by prior studies [56][57][58][59][60][61][62][63][64][65][66][67][68][69]. For example, Chandra, et al [22] applied SEM to assess key performance indicators in the vaccine supply chain′s impact on sustainable development [43].…”
Section: Questionnaire Design and Distributionmentioning
confidence: 99%
“…Later, Chen and Hwang [71] introduced and integrated the fuzzy technique. Fuzzy TOPSIS has proven to be an effective technique for ad-dressing multiple criteria, as it incorporates fuzzy set theory to handle the inherent ambiguity in subjective judgments made by decision-makers, which often involve linguistic terms, satisfaction degrees, and importance levels that may be imprecise [67,72]. This method encompasses the following steps:…”
Section: Fuzzy Topsismentioning
confidence: 99%
“…The questionnaire was designed in such a way that it can elicit respondents’ views on the factors influencing RMS adoption and their influence during the decision-making process at various stages of the adoption. The Cochran formula was used to calculate the required sample size (Kirkire et al , 2020): …”
Section: Case Implementationmentioning
confidence: 99%
“…The factor loadings, representing the strength of the relationships between the impacts, are given in Table 5. Factor loadings above a value of 0.5 are fit for further analysis [60]. Then, all 20 impacts were categorized into three groups, namely production management (PM), supply management (SM), disruption management (DM), relationship management (RM), inventory management (IM), logistics management (LM), and organizational management (OM), as shown in Table 5 [3].…”
Section: Exploratory Factor Analysis (Efa)mentioning
confidence: 99%