Fuzzy TISM and DEMATEL approach to analyse lean variables in Indian healthcare industry
Vineet Jain and
Puneeta Ajmera
International Journal of Process Management and Benchmarking, 2022, vol. 12, issue 2, 233-275
Abstract:
During the last few decades, due to rising competition, healthcare organisations have been trying their best to perform more efficiently by providing the best quality services to the patients. Lean is one of these performance improvement strategies that focus on delivering perfect services to the patients. However, lean implementation usually faces issues like employee resistance, poor follow-ups, and financial constraints, etc. The present research has identified 15 critical variables that affect the lean theory in the healthcare industry based on the review of existing literature with the expert's opinion in the healthcare sector as well as academia also. Fuzzy TISM 'fuzzy total interpretive structural modelling and DEMATEL methodologies' have been used to estimate the relationships among these variables. Results of both the methodologies depict that successful implementation of lean theory in healthcare organisations depend upon 'financial capability and lean training'. These key variables possess high driving power low dependent power.
Keywords: lean theory; TISM; fuzzy TISM; DEMATEL approach; healthcare industry; MICMAC analysis; fuzzy MICMAC. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=121610 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpmbe:v:12:y:2022:i:2:p:233-275
Access Statistics for this article
More articles in International Journal of Process Management and Benchmarking from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().