{"title":"医疗保健部门技术创新因素建模:一种模糊- tism - micmac方法","authors":"Vikas Thakur, Kamal Hossain","doi":"10.1080/20479700.2023.2269666","DOIUrl":null,"url":null,"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.","PeriodicalId":46911,"journal":{"name":"International Journal of Healthcare Management","volume":"1 1","pages":"0"},"PeriodicalIF":1.4000,"publicationDate":"2023-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modelling the factors of technological innovation in the healthcare sector: A fuzzy-TISM-MICMAC approach\",\"authors\":\"Vikas Thakur, Kamal Hossain\",\"doi\":\"10.1080/20479700.2023.2269666\",\"DOIUrl\":null,\"url\":null,\"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. 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Modelling the factors of technological innovation in the healthcare sector: A fuzzy-TISM-MICMAC approach
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.