Barriers to blockchain adoption in health-care industry: an Indian perspective. (6th January 2021)

• Record Type: Journal Article
• Authors: Sharma, Manu; Joshi, Sudhanshu
• Is Part Of: Journal of global operations and strategic sourcing. Volume 14:Number 1(2021)
• Page Start: 134
• Page End: 169
• Publication Date: 2021-01-06
• Subjects: Health information technology -- Health care -- Adoption barriers -- Total interpretive structural modeling (TISM) -- FUZZY-MICMAC -- Qualitative -- Interpretive structural modeling -- Blockchain technology; Production management -- Periodicals; Contracting out -- Periodicals; 658.5005
• DOI: 10.1108/JGOSS-06-2020-0026
• Languages: English
• ISSNs: 2398-5364

Abstract

Abstract : Purpose: This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry. Design/methodology/approach: The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts ( N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers. Findings: A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power. Research limitations/implications: The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies. Practical implications: The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry. Originality/value: The study is among few primary studies that identify and analyze the BC adoption in health-care industry.