Search Results - subject:"Interpretive Structural Modeling"

Identification and prioritization of barriers to Industry 4.0 adoption in the context of food and beverage industries of Bangladesh

Rahman, Mustafizur; Emon, Md. Enjamamul Haque; Antor, … - In: Benchmarking : an international journal 32 (2025) 2, pp. 757-783

Persistent link: https://www.econbiz.de/10015398421

Integrating lean six sigma and industry 4.0 for advancing the circular economy : a holistic research study

Shrivastava, Ashish; Mishra, Rajesh Prasad - In: Quality management journal : QMJ 32 (2025) 1, pp. 2-14

Persistent link: https://www.econbiz.de/10015418540

The pandemic COVID-19 and its impact on Indian agricultural sectors : ian assessment of farmers

Mishra, Debesh; Satapathy, Suchismita - In: Journal of global information management 30 (2022) 4, pp. 1-27

Persistent link: https://www.econbiz.de/10014308561

Building a hierarchical sustainable development transition model in qualitative information approach : electric utility industry in Indonesia

Tseng, Minglang; Ardaniah, Viqi; Negash, Yeneneh Tamirat; … - In: Cleaner and responsible consumption 5 (2022), pp. 1-21

structural modeling, and best worst method, is applied. From the initial proposed attribute set, thirty-seven criteria from four … hierarchical model of sustainable development transition. A combined method, including fuzzy Delphi method, fuzzy interpretive …

Persistent link: https://www.econbiz.de/10014227502

Structural analysis of factors influencing environmental disclosure

Nassreddine, Garoui - In: Cogent Economics & Finance 10 (2022) 1, pp. 1-13

restrictions of interpretive structural modeling were discussed, and then proposals for developing the research were discussed. …

Persistent link: https://www.econbiz.de/10015074133

Weighted interpretive structural modeling for supply chain risk management: An application to logistics service providers in Turkey

Uk, Zuhal Cilingir; Basfirinci, Cigdem; Mitra, Amitava - In: Logistics 6 (2022) 3, pp. 1-22

Background: The aim of this paper is to introduce weighted interpretive structural modeling approach to supply chain … these risks. They were further analyzed through a weighted interpretive structural modeling (WISM) approach in order to …

Persistent link: https://www.econbiz.de/10015194830

The significance of machine learning in the manufacturing sector: An ISM approach

Lakra, Alisha; Gupta, Shubhkirti; Ranjan, Ravi; … - In: Logistics 6 (2022) 4, pp. 1-15

the manufacturing sector. An interpretive structural modeling (ISM) method is used, and inputs from experts are applied to …

Persistent link: https://www.econbiz.de/10015194871

Research productivity for augmenting the innovation potential of higher education institutions: An interpretive structural modeling approach and MICMAC analysis

Ocampo, Lanndon; Aro, Joerabell Lourdes; Evangelista, … - In: Journal of Open Innovation: Technology, Market, and … 8 (2022) 3, pp. 1-25

factors and the notion that the evaluation of their relationships reflects an expert judgment, an interpretive structural … modeling (ISM) approach and the Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis were …

Persistent link: https://www.econbiz.de/10014329648

Deployment of interpretive structural modeling in barriers to industry 4.0: A case of small and medium enterprises

Goel, Pankaj; Kumar, Raman; Banga, Harish Kumar; Kaur, … - In: Journal of Risk and Financial Management 15 (2022) 4, pp. 1-22

of Industry 4.0 in India. The identified barriers were analyzed with the help of Interpretive Structural Modeling (ISM …

Persistent link: https://www.econbiz.de/10014332372

Deployment of interpretive structural modeling in barriers to industry 4.0 : a case of small and medium enterprises

Goel, Pankaj; Kumar, Raman; Banga, Harish Kumar; Kaur, … - In: Journal of risk and financial management : JRFM 15 (2022) 4, pp. 1-22

of Industry 4.0 in India. The identified barriers were analyzed with the help of Interpretive Structural Modeling (ISM …

Persistent link: https://www.econbiz.de/10013273034