Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach

Desingh, Videsh; Baskaran, R.

doi:10.1002/hpm.3331

Cited by 23 publications

(10 citation statements)

References 203 publications

(253 reference statements)

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“…Finally, using interpretive structural modeling (ISM), a structural model of barriers to adopt Industry 4.0 was constructed. Such a methodology was applied in many prior works (e.g., Kamble et al, 2018;Karadayi-Usta, 2019;Raj et al, 2020;Kumar et al, 2021;Etemadi et al, 2021;Sarkar & Shankar, 2021;Gupta & Goyal, 2021;Goel et al, 2022;Godinho et al, 2022;Desingh, 2022, Verma et al, 2022.…”

Section: Methodsmentioning

confidence: 99%

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

Attiany¹,

Al-kharabsheh²,

Al-Makhariz³

et al. 2023

10.5267/j.uscm

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This research aims at exploring barriers of adopting Industry 4.0 in manufacturing supply chains. Data were collected based on a review of extant literature on barriers Industry 4.0 adoption, individual interviews with a panel consisted of academic and industry experts. Following numerous previous studies, interpretive structural modeling (ISM) and matrix multiplication applied to classification (MICMAC) analysis were conducted to order 10 barriers based on their importance and impacts. The results excluded one barrier “cyber security challenges”, categorized another one as a dependent barrier “lack of digital strategy”, and eight barriers as linkage barriers “lack of infrastructure”, “personnel resistance to adopt new technologies”, “high investment requirements”, “data management and quality challenges”, “uncertainty of economic benefits”, “low maturity level of technology”, “lack of adequate skills”, and “job disruptions”. Henceforward, it was concluded that mitigating these eight barriers is very critical to ensure a successful adoption of Industry 4.0 technologies in supply chains. Further studies are required to categorize these eight barriers based on their importance and relationships.

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Section: Methodsmentioning

confidence: 99%

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

Attiany¹,

Al-kharabsheh²,

Al-Makhariz³

et al. 2023

10.5267/j.uscm

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“…Furthermore, many scholars have developed this method to make it more practical and suitable for uncertain situations with non-deterministic values and numbers, such as fuzzy ISM-MICMAC (e.g. Desingh, 2022). To the best knowledge of the authors, this research has applied the combination of the hesitant fuzzy sets with ISM for the first time.…”

Section: Methodsmentioning

confidence: 99%

Hybrid business offerings in small internationalisers: a mixed-method analysis of internal capabilities through hesitant fuzzy information

Amoozad Mahdiraji,

Abbasi Kamardi,

Jafari-Sadeghi

et al. 2023

IMR

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PurposeIn this research, the initial list of internal capabilities in small and medium-sized enterprises (SMEs) leading to success in international markets has been extracted. Then, the most relevant capabilities to international SMEs under servitisation and hybrid offerings have been screened. Next, the selected capabilities have been classified, and ultimately the relationship amongst the capabilities has been analysed. The conceptual model for SMEs participating in international markets with hybrid offerings has been illustrated.Design/methodology/approachA literature review has been employed to extract the initial list of internal capabilities to address the research objectives. Then, a novel hesitant fuzzy Delphi (HFD) method has been developed to select the most relevant capabilities for SMEs for hybrid offerings in international markets by using the experts opinions. Subsequently, a novel hesitant fuzzy interpretive structural modelling (HFISM) has been developed to classify the capabilities, design a level-based conceptual model and present the relationship amongst the prominent capabilities.FindingsAfter the literature review, sixteen internal capabilities leading to success in the international market via hybrid offerings have been extracted. Then, eight selected capabilities were chosen for further investigation by applying 15 expert opinions and via the HFD approach. According to HFISM results, a level-based conceptual model was emanated, and “ability to take advantage of international opportunities”, “financial strength”, “technology level” and “efficient innovation management” were considered as the most fundamental capabilities resulting in successful hybrid offerings in international markets.Originality/valueAlongside the multi-layer decision-making approach developed in this manuscript to analyse the internal capabilities roles in hybrid offering success towards international markets, to the best knowledge of the authors, the hesitant fuzzy approaches developed in this article have not been previously presented by any other scholar. A novel HFD approach has been designed for consensus amongst the experts under uncertain circumstances. Furthermore, a novel HFISM has been suggested and employed in this research to comprehend the relationship amongst the internal capabilities.

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“…ISM extends in many fields as e-waste management(A. Kumar & Dixit, 2018 ), environmental sustainability( Gani et al, 2022 ), green supply management( Mathiyazhagan et al, 2013 ), building information( RezaHoseini et al, 2021 ), fuel consumption( He et al, 2021 ), electric vehicle charging station( Liang et al, 2022 ), circular economy enablers( Patel et al, 2021 ), corporate social responsibility( Usmani et al, 2022 ), social media sharing ( Dedeoglu et al, 2020 ), healthcare supply chain ( Desingh & Baskaran, 2022 ), transportation management( Trivedi et al, 2021 ) , agriculture supply chain(S. Kumar et al, 2021b), agri-food supply chain( Srivastava & Dashora, 2021 ).…”

Section: Literature Reviewsmentioning

confidence: 99%

An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM

Wang

Zhang²,

Tian³

et al. 2023

Expert Systems with Applications

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Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach

Cited by 23 publications

References 203 publications

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

Barriers to adopt industry 4.0 in supply chains using interpretive structural modeling

Hybrid business offerings in small internationalisers: a mixed-method analysis of internal capabilities through hesitant fuzzy information

An integrated rough-fuzzy WINGS-ISM method with an application in ASSCM

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