Modelling the factors of technological innovation in the healthcare sector: A fuzzy-TISM-MICMAC approach

IF 1.4 Q4 HEALTH POLICY & SERVICES International Journal of Healthcare Management Pub Date : 2023-10-21 DOI:10.1080/20479700.2023.2269666
Vikas Thakur, Kamal Hossain
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Abstract

ABSTRACTHealthcare (HC) sector has witnessed the growing proliferation of technological innovation to enhance the quality of life, increased life expectancy, diagnostic options, and cost-effectiveness of HC services. Therefore, the present study aims to identify and analyse the critical factors of technological innovations catering to HC service delivery. The study has implemented fuzzy-total interpretive structural modelling (F-TISM) approach to develop hierarchical inter-relationships among the identified factors. Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis is implemented to classify factors into autonomous, dependent, linkage, and independent groups. The findings of the study placed all the factors of technological innovation in the HC sector at six levels of the developed hierarchical F-TISM model. The factors at the bottom levels are independent variables, which lead to the top-level dependent variables and in the middle of the hierarchical structure are the linkage variables. The most influential factors in the F-TISM model are public-private partnerships, integrated HC information systems, health 4.0 in HC services, organizational culture, and consumer demand. The study distinctly highlighted the importance of HC innovation achieved through the strong foundations laid down by organizational culture and the prolonged need of consumers bridged through integrated HC systems and state-of-the-art technological advancements.KEYWORDS: Technological innovationshealthcare (HC) servicesintegrated HC information systemorganizational ambidexterityTISM framework Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe author(s) reported there is no funding associated with the work featured in this article.Notes on contributorsVikas ThakurVikas Thakur is an assistant professor, who has a teaching experience of more than nine years in reputed organizations across India. He has teaching experience in the field of operations and supply chain management and completed several projects granted by the Government of India.Kamal HossainKamal Hossain is research scholar at School of Management, National Institute of Technology, Rourkela, India. He is working in the area of operations management.
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医疗保健部门技术创新因素建模:一种模糊- tism - micmac方法
医疗保健(HC)部门见证了技术创新的日益扩散,以提高生活质量,增加预期寿命,诊断选择和HC服务的成本效益。因此,本研究旨在找出并分析技术创新迎合健康医疗服务提供的关键因素。本研究采用模糊总解释结构建模(F-TISM)方法来发展已识别因素之间的层次相互关系。矩阵d的目光乘法appliquee联合国classment(密克马克语)分析实现分类因素为自治,依赖,链接,和独立的团体。研究结果将HC部门的所有技术创新因素置于已开发的分层F-TISM模型的六个层次上。底层的因素是自变量,从而导致顶层的因变量,在层次结构的中间是联动变量。影响F-TISM模式的主要因素是公私合作伙伴关系、综合医疗保健信息系统、医疗保健服务中的健康4.0、组织文化和消费者需求。该研究明确强调了通过组织文化奠定的坚实基础以及通过集成的HC系统和最先进的技术进步弥合的消费者的长期需求来实现HC创新的重要性。关键词:技术创新;医疗保健服务;集成医疗保健信息系统;其他信息资金作者报告没有与本文所述工作相关的资金。维卡斯·塔库尔是一名助理教授,他在印度各地的知名组织有9年多的教学经验。他在运营和供应链管理领域拥有教学经验,并完成了多个印度政府授予的项目。Kamal Hossain,印度鲁凯拉国立理工学院管理学院研究学者。他在运营管理领域工作。
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CiteScore
5.40
自引率
9.50%
发文量
77
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