147 related articles for article (PubMed ID: 38046174)
1. Analysis of barriers affecting Industry 4.0 implementation: An interpretive analysis using total interpretive structural modeling (TISM) and Fuzzy MICMAC.
Ben Ruben R; Rajendran C; Saravana Ram R; Kouki F; Alshahrani HM; Assiri M
Heliyon; 2023 Dec; 9(12):e22506. PubMed ID: 38046174
[TBL] [Abstract][Full Text] [Related]
2. Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM-fuzzy MICMAC approach.
Desingh V; R B
Int J Health Plann Manage; 2022 Jan; 37(1):318-351. PubMed ID: 34585440
[TBL] [Abstract][Full Text] [Related]
3. Identifying critical success factors to facilitate reusable plastic packaging towards sustainable supply chain management.
Gardas BB; Raut RD; Narkhede B
J Environ Manage; 2019 Apr; 236():81-92. PubMed ID: 30716694
[TBL] [Abstract][Full Text] [Related]
4. Healthcare waste management: an interpretive structural modeling approach.
Thakur V; Anbanandam R
Int J Health Care Qual Assur; 2016 Jun; 29(5):559-81. PubMed ID: 27256778
[TBL] [Abstract][Full Text] [Related]
5. Use of TISM and MICMAC methods to assess the influence of behavioral factors on the employment of GSCM in the Indian leather industry.
Kumar M; Rao TJ
MethodsX; 2023; 10():102164. PubMed ID: 37091950
[TBL] [Abstract][Full Text] [Related]
6. Investigation of barriers and mitigation strategies to blockchain technology implementation in construction industry: an interpretive structural modeling approach.
Singh AK; Kumar VGRP; Hu J; Irfan M
Environ Sci Pollut Res Int; 2023 Aug; 30(38):89889-89909. PubMed ID: 37458886
[TBL] [Abstract][Full Text] [Related]
7. Analysis of factors inhibiting the customer engagement of eHealth in India: Modeling the barriers using ISM-Fuzzy MICMAC analysis.
Das D; Sengar A
Int J Med Inform; 2023 Oct; 178():105199. PubMed ID: 37647674
[TBL] [Abstract][Full Text] [Related]
8. Uptake and implementation of Nature-Based Solutions: An analysis of barriers using Interpretive Structural Modeling.
Sarabi S; Han Q; Romme AGL; de Vries B; Valkenburg R; den Ouden E
J Environ Manage; 2020 Sep; 270():110749. PubMed ID: 32721286
[TBL] [Abstract][Full Text] [Related]
9. Analysis of barriers in e-waste management in developing economy: an integrated multiple-criteria decision-making approach.
Jangre J; Prasad K; Patel D
Environ Sci Pollut Res Int; 2022 Oct; 29(48):72294-72308. PubMed ID: 35696062
[TBL] [Abstract][Full Text] [Related]
10. Modeling drivers for successful adoption of green business: an interpretive structural modeling approach.
Sarkar A; Qian L; Peau AK; Shahriar S
Environ Sci Pollut Res Int; 2021 Jan; 28(1):1077-1096. PubMed ID: 32829426
[TBL] [Abstract][Full Text] [Related]
11. Modelling the inhibitors of cold supply chain using fuzzy interpretive structural modeling and fuzzy MICMAC analysis.
Sharma A; Abbas H; Siddiqui MQ
PLoS One; 2021; 16(4):e0249046. PubMed ID: 33848286
[TBL] [Abstract][Full Text] [Related]
12. Cost, Usability, Credibility, Fairness, Accountability, Transparency, and Explainability Framework for Safe and Effective Large Language Models in Medical Education: Narrative Review and Qualitative Study.
Quttainah M; Mishra V; Madakam S; Lurie Y; Mark S
JMIR AI; 2024 Apr; 3():e51834. PubMed ID: 38875562
[TBL] [Abstract][Full Text] [Related]
13. Investigating supply chain challenges of public sector agriculture development projects in Bangladesh: An application of modified Delphi-BWM-ISM approach.
Khan MR; Alam MJ; Tabassum N; Burton M; Khan NA
PLoS One; 2022; 17(6):e0270254. PubMed ID: 35731792
[TBL] [Abstract][Full Text] [Related]
14. Framework for PESTEL dimensions of sustainable healthcare waste management: Learnings from COVID-19 outbreak.
Thakur V
J Clean Prod; 2021 Mar; 287():125562. PubMed ID: 33349739
[TBL] [Abstract][Full Text] [Related]
15. Analysis of key factors influencing individual financial well-being using ISM and MICMAC approach.
Kaur G; Singh M; Gupta S
Qual Quant; 2023; 57(2):1533-1559. PubMed ID: 35669163
[TBL] [Abstract][Full Text] [Related]
16. Antecedents and enablers of supply chain reconfigurability and their effects on performance.
Zidi S; Hamani N; Kermad L
Int J Adv Manuf Technol; 2022; 120(5-6):3027-3043. PubMed ID: 35250145
[TBL] [Abstract][Full Text] [Related]
17. Promoting sustainability through green innovation adoption: a case of manufacturing industry.
Ullah S; Khan FU; Ahmad N
Environ Sci Pollut Res Int; 2022 Mar; 29(14):21119-21139. PubMed ID: 34746984
[TBL] [Abstract][Full Text] [Related]
18. Establishing a Green, Lean and Six Sigma implementation model for sustainable construction industry: an analysis of driving forces through ISM-MICMAC approach.
Hussain K; He Z; Ahmad N; Iqbal M; Saeed MZ
Environ Sci Pollut Res Int; 2023 Mar; 30(11):30462-30492. PubMed ID: 36434453
[TBL] [Abstract][Full Text] [Related]
19. Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework.
Yang J; Luo B; Zhao C; Zhang H
Digit Health; 2022; 8():20552076221126034. PubMed ID: 36211801
[TBL] [Abstract][Full Text] [Related]
20. Understanding influential factors on implementing green supply chain management practices: An interpretive structural modelling analysis.
Agi MA; Nishant R
J Environ Manage; 2017 Mar; 188():351-363. PubMed ID: 28006744
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]