Assessing the impact of artificial intelligence and circular economy on the healthcare sector: An empirical evidence from the Indian context

被引:0
|
作者
Jain, Ankita [1 ]
Vishwakarma, Amit [2 ]
Bhakta, Dhananjoy [1 ]
机构
[1] Indian Inst Informat Technol Ranchi, Dept Comp Sci & Engn, Ranchi 834010, Jharkhand, India
[2] Indian Inst Technol Kanpur, Dept Management Sci, Kanpur 208016, India
关键词
Artificial intelligence (AI); Stakeholders commitment (SC); Circular economy (CE); Structure equation modeling (SEM); SUPPLY CHAIN MANAGEMENT; WASTE MANAGEMENT; SUSTAINABILITY; LOGISTICS; FRAMEWORK; SYSTEM; VALUES;
D O I
10.1016/j.jclepro.2024.144315
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Indian healthcare system is dealing with several challenges, including biological waste, transportation as well as logistics of life-saving medications, and inadequate infrastructure. Stakeholders must properly address these challenges to enhance the performance of the healthcare sector. Literature seeks stakeholder commitment, willingness to embrace artificial intelligence and the principles of the circular economy as possible solutions to the challenges. So this study considers four parameters, i.e., stakeholder commitment, circular economy, artificial intelligence, and healthcare performance. It ascertains each parameter's (stakeholder commitment, circular economy, and artificial intelligence) contribution to healthcare performance. In addition, it determines whether a relationship exists between the four parameters. Artificial intelligence supports the healthcare sector by providing better inventory management, customer-supplier relationships, and efficient logistics service. This improves the quality of services. A circular economy ensures the reuse of leftover healthcare products, and recycling and ensures sustainability. This lowers the cost for the firms. This study was conducted empirically. Initially, we prepare a questionnaire and collect responses from healthcare firm stakeholders. A total of 261 responses are recorded, and these datasets are analyzed by R. A psych package is used for the data analysis. SEMinR package is used for the development of measurement and structural models. The research finding represents that all three parameters contribute to improving healthcare performance. Stakeholder commitment (/3 = 0.323) is the major driving force. Stakeholders prioritize implementing circular economy principles (/3 = 0.247) above artificial intelligence (/3 = 0.122). However, the potential capacity of artificial intelligence (/3 = 0.207) prevails over that of the circular economy (/3 = 0.167) when these two are compared. The comparison shows that Indian healthcare firms lack the necessary infrastructure to implement artificial intelligence, while they implement circular economy practices on a much wider scale.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Can circular healthcare economy be achieved through implementation of sustainable healthcare supply chain practices? Empirical evidence from Indian healthcare sector
    Vishwakarma, Amit
    Dangayach, G. S.
    Meena, M. L.
    Gupta, Sumit
    Joshi, Deepika
    Jagtap, Sandeep
    JOURNAL OF GLOBAL OPERATIONS AND STRATEGIC SOURCING, 2024, 17 (02) : 230 - 246
  • [2] Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare
    Sun, Tara Qian
    Medaglia, Rony
    GOVERNMENT INFORMATION QUARTERLY, 2019, 36 (02) : 368 - 383
  • [3] Use of Artificial Intelligence in the Indian Insurance Sector, including Healthcare Companies
    Pradeep, Akshat
    Patil, Kanchan
    CARDIOMETRY, 2022, (23): : 499 - 508
  • [4] Implementing challenges of artificial intelligence: Evidence from public manufacturing sector of an emerging economy
    Sharma, Manu
    Luthra, Sunil
    Joshi, Sudhanshu
    Kumar, Anil
    GOVERNMENT INFORMATION QUARTERLY, 2022, 39 (04)
  • [5] Ubiquitous revolution, customer needs and business intelligence? Empirical evidence from the Japanese healthcare sector
    Virtanen P.
    Kaivo-Oja J.
    Ishino Y.
    Stenvall J.
    Jalonen H.
    International Journal of Web Engineering and Technology, 2016, 11 (03) : 259 - 283
  • [6] Impact of artificial intelligence on entrepreneurial activity -empirical evidence from Chinese cities
    Chen, Kaixuan
    Zhang, Shushan
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2024, 36 (12) : 4701 - 4714
  • [7] Impact of Capital Structure on Firm Performance: Empirical Evidence from Indian Manufacturing Sector
    Panchal, Shobha
    Chand, Subhash
    GLOBAL BUSINESS REVIEW, 2023,
  • [8] Adoption of circular economy: data-driven strategies based on empirical evidence from indian consumers
    Gaur, Jighyasu
    Pandey, Ishita
    Hungund, Sumukh
    JOURNAL OF STRATEGIC MARKETING, 2024, 32 (07) : 823 - 841
  • [9] The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China
    Guo, Qingbin
    Peng, Yanqing
    Luo, Kang
    ENERGY ECONOMICS, 2025, 141
  • [10] The impact of artificial intelligence on firms' energy and resource efficiency: Empirical evidence from China
    Li, Juan
    Ma, Shaoqi
    Qu, Yi
    Wang, Jiamin
    RESOURCES POLICY, 2023, 82