Modeling organizational intelligence using DEMATEL method in Iranian public universities

Malekzadeh, Gholamreza; Kazemi, Mostafa; Lagzian, Mohammad; Mortazavi, Saeed

doi:10.1108/jm2-12-2013-0062

Cited by 23 publications

(23 citation statements)

References 28 publications

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“…It examines effectively causal relationship structure and importance order between these criteria by using matrix operation with certain scores. This method depends on the basis of graph theory, categorizes criteria cause (influential) and effect (influenced) groups (Malekzadeh et al , 2016). Constructing a strategic map to decision-makers for a greater understanding and interpreting of the causal interrelationship among them is one of the most significant characteristics of the technique.…”

Section: Methodology: Fuzzy Dematelmentioning

confidence: 99%

Investigating the performance of the sustainable cold supply chain in the pharmaceutical industry

Turan

Öztürkoğlu

2022

IJPHM

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Purpose This study focuses on identifying potential challengers affecting cold chain performance in the pharmaceutical industry. Considering the history of humanity, every pandemic experienced could only be controlled with the vaccine found. While the world is fighting the unforgettable epidemic called COVID-19, scientists are also working to find the therapeutic vaccine. The vaccines studied have different temperature storage and transport properties. In the pharmaceutical industry, it is necessary to know and analyse every step of the cold supply chain to provide the most appropriate and safe cooling level. In addition, it is important to understand the relationship between all the facilities, equipment, tools and materials needed to avoid mistakes along the chain. Design/methodology/approach Hence, this study focuses on identifying potential challengers affecting sustainable cold supply chain performance in the pharmaceutical industry and proposing a conceptual framework that involves these main challengers. In this study, firstly, different main and sub-factors are defined from the literature, and fuzzy Decision Making Trial and Evaluation Laboratory method is applied to analyse the causal link between these factors for an effective application. Findings Results showed that packaging, transportation and shipping, storage specifications and handling practices, inventory management, technical issues and delivery delay are the most affected factors during the sustainable cold supply chain performance in the pharmaceutical industry. This study offers both managerial implications and a roadmap that are designed with a holistic view to guide manufacturer, logistics parties and even policymakers. Originality/value Some of the studies related to the pharmaceutical industry are monitoring and controlling the temperature in the cold supply chain steps; the other part is the studies where the chain steps are examined with a focus on production or transportation. While these issues are the focus, the requirements and conditions of each stage of the supply chain must be studied for a safe, effective and sustainable cold chain beyond the current global pandemic crisis. To the best of the authors’ knowledge, this is the first study that highlights identifying the potential challengers that affect cold supply chain performance for the pharmaceutical industry both theoretically and empirically, solving the causal relationships among these challengers and designing a holistic framework.

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Section: Methodology: Fuzzy Dematelmentioning

confidence: 99%

Investigating the performance of the sustainable cold supply chain in the pharmaceutical industry

Turan

Öztürkoğlu

2022

IJPHM

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“…The expert’s judgements are subjective and having some imprecisions and vagueness in the real-life situation. Fuzzy set theory can handle vagueness and imprecision in decision-making (Seçme et al , 2009; Malekzadeh et al , 2016). Two types of fuzzy number namely triangular and trapezoidal fuzzy numbers are commonly used (Tan et al , 2010).…”

Section: Methodsmentioning

confidence: 99%

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

Khan

Haleem

2019

JM2

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Purpose Higher level of customer satisfaction for halal products can be achieved by the effective adoption of halal certification through assessment and accreditation (HCAA). There are certain issues that seem detrimental towards the adoption of HCAA. The purpose of this paper is to identify the major barriers towards the adoption of HCAA and evaluate inter-relationships among them for developing the strategies to mitigate these barriers. Design/methodology/approach The barriers towards the adoption of HCAA are identified through an integrative approach of literature review and expert’s opinion. The inter-relationship among the identified barriers is evaluated using fuzzy-based decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique, which categorises them into influential and influenced group. Findings The evaluation of inter-relationship among barriers using fuzzy DEMATEL indicates four influencing barriers and six influenced barriers towards the adoption of HCAA. Further, findings suggest an extensive government, and management support is vital in terms of commitment, resources and actions to realise the benefits attributed with HCAA. Research limitations/implications The inter-relationship among barriers is contextual and based on the perception of experts which may be biased as per their background and area of expertise. This study pertains to a specific region and can be extended to the generalised certification system. Originality/value The empirical base of the research provides the inter-relationship among the barriers towards the adoption of HCAA which can be effectively used as input in the decision-making process by producers, manufacturers and distributor. The policy maker can analyse the cause group and effect group of barriers to formulate policies that would help in the adoption of HCAA.

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“…DEMATEL, an MCDM method, is proposed to develop the structural model showing causal relationship among criteria (Malekzadeh et al, 2016;Aggarwal and Srivastava, 2019). This method has been widely used for selection purposes (Singh and Bhanot, 2020).…”

Section: Fuzzy Dematelmentioning

confidence: 99%

“…This method has been widely used for selection purposes (Singh and Bhanot, 2020). The popular applications of DEMATEL can be seen in identifying global manager's competencies Analysis of workforce attributes for Industry 4.0 (Wu and Lee., 2007), supplier selection (Dalalah et al, 2011), risks evaluation of knowledgebased networks (Abbasi et al, 2013), prioritizing environmental performance of PCB industry (Tsai et al, 2015), Lean Six Sigma project selection (Vinodh and Sawarnakar, 2015) and organizational intelligence modelling (Malekzadeh et al, 2016).…”

Section: Fuzzy Dematelmentioning

confidence: 99%

Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

Vinodh

Wankhede

2020

IJQRM

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PurposeThe aim of this study is to analyze workforce attributes related to Industry 4.0 using fuzzy decision-making trial and evaluation laboratory (DEMATEL) and fuzzy combinative distance-based assessment (CODAS).Design/methodology/approachTechnological trends stipulate various revolution in industries. Industry 4.0 is a vital challenge for modern manufacturing industries. Workforce adoption to such challenge is gaining vital importance. Therefore, such workforce-related attributes need to be identified for enhancing their performance in Industry 4.0 environment. In this context, this article highlights the analysis of 20 workforce attributes for Industry 4.0. Relevant criteria are prioritized using fuzzy DEMATEL. Workforce attributes are prioritized using fuzzy CODAS.FindingsThe key attributes are “Skills/training in decision-making (WA2)”, “Competences in complex system modelling and simulation (WA1)” and “Coding skills (WA20)”.Research limitations/implicationsIn the present study, 20 workforce attributes are being considered. In future, additional workforce attributes could be considered.Practical implicationsThe study has been conducted based on inputs from industry experts. Hence, the inferences have practical relevance.Originality/valueThe analysis of workforce attributes for Industry 4.0 using MCDM methods is the original contribution of the authors.

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Modeling organizational intelligence using DEMATEL method in Iranian public universities

Cited by 23 publications

References 28 publications

Investigating the performance of the sustainable cold supply chain in the pharmaceutical industry

Investigating the performance of the sustainable cold supply chain in the pharmaceutical industry

Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach

Application of fuzzy DEMATEL and fuzzy CODAS for analysis of workforce attributes pertaining to Industry 4.0: a case study

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