Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study

被引:61
|
作者
Bag, Surajit [1 ]
Dhamija, Pavitra [2 ,3 ]
Singh, Rajesh Kumar [4 ]
Rahman, Muhammad Sabbir [5 ]
Sreedharan, V. Raja [6 ]
机构
[1] Inst Management Technol, Ghaziabad, India
[2] Thapar Inst Engn & Technol, LM Thapar Sch Management, Patiala, Punjab, India
[3] Univ Johannesburg, Fac Engn & Built Environm, Dept Construct Management & Quant Surveying, Johannesburg, South Africa
[4] Management Dev Inst, Gurgaon, India
[5] North South Univ, Dept Mkt & Int Business, Dhaka, Bangladesh
[6] Univ Bradford, Sch Management, Bradford, England
关键词
Omnichannel; Healthcare business; Artificial intelligence; Big data analytics; Collaborative platform; Healthcare supply chain; Developing countries; OPERATIONS MANAGEMENT; ORGANIZATIONAL PERFORMANCE; PREDICTIVE ANALYTICS; INFORMATION-SYSTEMS; INNOVATION; FUTURE; ALPHA; BUSINESS; IMPACT; MODEL;
D O I
10.1016/j.jbusres.2022.113315
中图分类号
F [经济];
学科分类号
02 ;
摘要
The healthcare supply chain involves the manufacturing and delivery of medicines at the right time, at the right place, and in the correct quantity. In the world of uncertainties, especially deadly pandemics, the digitalization of the healthcare supply chain has emerged as one of the urgent phenomena to implement, for which organizations are focussing on the omnichannel healthcare approach. This paper explores (a) the antecedents of big data analytics and artificial intelligence (BDA-AI) technology-based collaborative platform for empowering absorptive capacity in omnichannel health care processes; (b) the effect of BDA-AI collaborative platform powered absorptive capacity in omnichannel health care processes and organization performance. The data is collected using a structured questionnaire from healthcare supply chain executives working in South Africa. The findings indicate that the involvement of managerial factors will improve the capacity of health care organizations to develop a BDA-AI technology-driven collaborative platform to assimilate, transfer and exploit critical information from large data sets. It will capacitate healthcare supply chains to deliver innovative performance to healthcare businesses. This work is the first of its kind to examine big data-based knowledge gained in the context of the omnichannel supply chain.
引用
收藏
页数:18
相关论文
共 23 条
  • [11] Impact of artificial intelligence-driven big data analytics culture on agility and resilience in humanitarian supply chain: A practice-based view
    Dubey, Rameshwar
    Bryde, David J.
    Dwivedi, Yogesh K.
    Graham, Gary
    Foropon, Cyril
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2022, 250
  • [12] Examining the influence of big data analytics and additive manufacturing on supply chain risk control and resilience: An empirical study
    Gupta, Shivam
    Bag, Surajit
    Modgil, Sachin
    Jabbour, Ana Beatriz Lopes de Sousa
    Kumar, Ajay
    COMPUTERS & INDUSTRIAL ENGINEERING, 2022, 172
  • [13] A Cloud-Based Platform for ECG Monitoring and Early Warning Using Big Data and Artificial Intelligence Technologies
    Zhou, Chunjie
    Li, Ali
    Zhang, Zhiwang
    Zhang, Zhenxing
    Qu, Haiping
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2020, 2020, 12115 : 60 - 72
  • [14] Big data analytics-artificial intelligence and sustainable performance through green supply chain practices in manufacturing firms of a developing country
    Rashid, Aamir
    Baloch, Neelam
    Rasheed, Rizwana
    Ngah, Abdul Hafaz
    JOURNAL OF SCIENCE AND TECHNOLOGY POLICY MANAGEMENT, 2025, 16 (01) : 42 - 67
  • [15] Supply chain network design based on Big Data Analytics: heuristic-simulation method in a pharmaceutical case study
    Goodarzian, Fariba
    Ghasemi, Peiman
    Appolloni, Andrea
    Ali, Irfan
    Cardenas-Barron, Leopoldo Eduardo
    PRODUCTION PLANNING & CONTROL, 2024,
  • [16] Exploring Physician Perspectives on Using Real-world Care Data for the Development of Artificial Intelligence-Based Technologies in Health Care: Qualitative Study
    Kamradt, Martina
    Poss-Doering, Regina
    Szecsenyi, Joachim
    JMIR FORMATIVE RESEARCH, 2022, 6 (05)
  • [17] An empirical study on artificial intelligence technology based on big data to assist enterprise management decision (Publication with Expression of Concern)
    Guo, Jie
    Wang, Dong
    INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION, 2021,
  • [18] How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care
    Bakker, Lytske
    Aarts, Jos
    Uyl-de Groot, Carin
    Redekop, Ken
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 21 (01)
  • [19] How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care
    Lytske Bakker
    Jos Aarts
    Carin Uyl-de Groot
    Ken Redekop
    BMC Medical Informatics and Decision Making, 21
  • [20] Tweeting for Health Using Real-time Mining and Artificial Intelligence-Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter
    Morita, Plinio Pelegrini
    Hussain, Irfhana Zakir
    Kaur, Jasleen
    Lotto, Matheus
    Butt, Zahid Ahmad
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25