An integrated ISM fuzzy MICMAC approach for modelling the supply chain knowledge flow enablers

The Cold Supply Chain (CSC) is an integral part of the supply chain of perishable products. The aim of this research is to examine the inhibitors that have a major impact on the performance of CSC operations in the United Arab Emirates (UAE). This study provides a synthesis and suggests a hierarchical model among CSC inhibitors and their respective relevance. The hierarchical synthesis of twelve (12) primary CSC inhibitors is achieved through a comprehensive literature review and consultation with academics and CSC professionals. This study used semi-structured interviews, a fuzzy interpretive structural modeling (FISM) and a Fuzzy-MICMAC (FMICMAC) analysis to explore and establish the relationship between and among identified inhibitors. FISM is used to examine the interaction between inhibitors, while FMICMAC analysis is used to examine the nature of inhibitors on the basis of their dependence and driving power. The results of the FISM and FMICMAC analysis show the inter-relationships and relative dominance of identified inhibitors. The results show that some inhibitors are of high strategic importance due to their high driving power and low dependence. These inhibitors seek more management attention in order to improve their effectiveness. The result of a hierarchical model helps to understand the influence of a particular inhibitor on others. ‘Higher capital and operating costs’ occupy the highest level in the FISM model. The ‘fragmented cold supply chains’, ‘lack of skilled labor’, ‘inadequate information system infrastructure’ and ‘lack of commitment by top level management’ had strong driving power but weak dependence, which characterizes them as independent inhibitors. Management should be extra careful when dealing with these inhibitors as they influence the effects of other variables at the top of the FISM hierarchy in the overall management of the cold supply chain. The study also suggests a number of recommendations for addressing these inhibitors in cold supply chains operating in the UAE. With due attention and care for these inhibitors, the operation of the cold supply chains is likely to be even more successful.

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Examining Voluntary Engagement Barriers in Knowledge Sharing Practices for Supply Chain Innovation

International Journal of Knowledge Management ◽

10.4018/ijkm.291099 ◽

2022 ◽

Vol 18 (1) ◽

pp. 0-0

Keyword(s):

Supply Chain ◽

Knowledge Sharing ◽

Causal Relationship ◽

Knowledge Flow ◽

Opportunistic Behavior ◽

Fuzzy Dematel ◽

The Core ◽

Voluntary Engagement ◽

Free Information ◽

Relationship Of

Voluntary engagement (VE) creates a sense of coordination and harmonization to share knowledge. The eminence of knowledge sharing (KS) for supply chain (SC) innovation is undeniable to initiate development in products, services, and operations. However, KS process is undergoing challenges in sustaining KS engagement by SC partners. Hence, recent researchers call for the need to address this gap in the literature to assess VE barriers. This paper studies the causal relationship of VE barriers on two MNCs, i.e., Toyota and Suzuki, via the fuzzy DEMATEL approach. The case examination findings indicate culture's alignment as the prime cause of VE and leadership commitment has stronger interdependence. The core problems which need elimination are fear of losing the job, prominence and opportunistic behavior. The study concludes that companies need to instigate the natural attributes of employees’ VE by setting-up earnest guidelines to practice free information and knowledge flow.

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Quantitative assessment of mutual relationship of issues experienced in greening supply chain using ISM-fuzzy MICMAC approach

International Journal of Logistics Systems and Management ◽

10.1504/ijlsm.2018.10013173 ◽

2018 ◽

Vol 30 (2) ◽

pp. 162

Author(s):

Pradeep Kumar ◽

Deepak Kumar ◽

Mohit Tyagi ◽

Siddharth Jain

Keyword(s):

Supply Chain ◽

Quantitative Assessment ◽

Mutual Relationship ◽

Fuzzy Micmac ◽

Relationship Of

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A research of knowledge flow of supply chain based on the theory of knowledge field

2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM) ◽

10.1109/iclsim.2010.5461168 ◽

2010 ◽

Author(s):

Zhang Wuyi ◽

Xia Jie ◽

Hua Lianlian

Keyword(s):

Supply Chain ◽

Theory Of Knowledge ◽

Knowledge Flow

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Assessing sustainable supply chain enablers using total interpretive structural modeling approach and fuzzy-MICMAC analysis

Management of Environmental Quality An International Journal ◽

10.1108/meq-03-2017-0027 ◽

2018 ◽

Vol 29 (2) ◽

pp. 216-239 ◽

Cited By ~ 16

Author(s):

Mahamaya Mohanty

Keyword(s):

Supply Chain ◽

Sustainable Supply Chain ◽

Interpretive Structural Modeling ◽

Policy Makers ◽

Consumer Durables ◽

Content Type ◽

Micmac Analysis ◽

Strategic Factors ◽

Fuzzy Micmac ◽

Integrated Logistics

Purpose The purpose of this paper is to model the enablers of an integrated logistics. The integration is accounted for incorporating sustainability, thereby aiming in its theory building. Existing models have focused on enablers of sustainable supply chain independently which lacks a holistic view in understanding the integrated logistics for sustainable supply chain. Design/methodology/approach An extensive literature review, expert opinion from both industry and academia based on questionnaire survey, is conducted to find the relevant enablers. The modeling of these enablers is done using total interpretive structural modeling (TISM). Finally, TISM along with its respective fuzzy-matriced impact croises multiplication applique (fuzzy-MICMAC) analysis is depicted. Findings The result of the survey and TISM model with its respective fuzzy-MICMAC has been used to evolve the mutual relationships among the important enablers of integrated logistics of consumer durables. The strategic factors obtained from TISM are integration and collaboration in the supply chain, vehicle type, and capacity; reduction in average length of haul; and real-time information system. Route selection and scheduling, reduction of fuel consumption, customer relationship management, green technology, cost reduction, etc., are some of the operational factors. Sustainable environment performance is obtained as the performance factor. Fuzzy-MICMAC is more responsive than the traditional MICMAC analysis. Research limitations/implications The study has limitation for the development of a conceptual framework for integrated logistics in uncertain environments. So it can be extended by combining soft computing methodologies. There is a lack of mathematical quantification of the proposed model where the enablers of sustainability can be measured. Practical implications The study on integrated logistics for sustainable supply chain is itself a new area to be explored, as very few studies on this relevant topic exist. The research concentrates on TISM for the integrated logistics and the movement of consumer durables through different distribution channels of a supply chain. The study has implications for practitioners, academicians, and policy makers. For practitioners, it provides a list of strategic factors, operational factors, and performance factors. For academicians, this methodology can be opted to conduct an exploratory study by identifying the essential enablers. For policy makers, the regulations can be developed using the above model. Originality/value It is an effort to model the important enablers and establish sustainability in integrated logistics of consumer durables.

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