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

被引:64
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.
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页数:18
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共 138 条
  • [1] Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition
    Abiodun, Oludare Isaac
    Jantan, Aman
    Omolara, Abiodun Esther
    Dada, Kemi Victoria
    Umar, Abubakar Malah
    Linus, Okafor Uchenwa
    Arshad, Humaira
    Kazaure, Abdullahi Aminu
    Gana, Usman
    Kiru, Muhammad Ubale
    [J]. IEEE ACCESS, 2019, 7 : 158820 - 158846
  • [2] Afthanorhan W.M. A. B. W., 2013, International Journal of Engineering and Science Innovative Technologies, V2, P198, DOI DOI 10.5281/ZENODO.1299441
  • [3] Data-Driven Charging Demand Prediction at Public Charging Stations Using Supervised Machine Learning Regression Methods
    Almaghrebi, Ahmad
    Aljuheshi, Fares
    Rafaie, Mostafa
    James, Kevin
    Alahmad, Mahmoud
    [J]. ENERGIES, 2020, 13 (16)
  • [4] The impact of primary health care reform on hospital emergency department overcrowding: Evidence from the Portuguese reform
    Almeida, Alvaro
    Vales, Joana
    [J]. INTERNATIONAL JOURNAL OF HEALTH PLANNING AND MANAGEMENT, 2020, 35 (01) : 368 - 377
  • [5] Challenges for developing health-care knowledge in the digital age
    Alrahbi, Dana Abdullah
    Khan, Mehmood
    Gupta, Shivam
    Modgil, Sachin
    Chiappetta Jabbour, Charbel Jose
    [J]. JOURNAL OF KNOWLEDGE MANAGEMENT, 2022, 26 (04) : 824 - 853
  • [6] Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
    Amann, Julia
    Blasimme, Alessandro
    Vayena, Effy
    Frey, Dietmar
    Madai, Vince I.
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020, 20 (01)
  • [7] Innovation activities, use of appropriation instruments and absorptive capacity:: Evidence from Spanish firms
    Arbussa, Anna
    Coenders, Germa
    [J]. RESEARCH POLICY, 2007, 36 (10) : 1545 - 1558
  • [8] A Survey Of Big Data Analytics in Healthcare and Government
    Archenaa, J.
    Anita, E. A. Mary
    [J]. BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 : 408 - 413
  • [9] Organizational learning culture and business intelligence systems of health-care organizations in an emerging economy
    Arefin, Md. Shamsul
    Hoque, Md. Rakibul
    Rasul, Tareq
    [J]. JOURNAL OF KNOWLEDGE MANAGEMENT, 2021, 25 (03) : 573 - 594
  • [10] A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education
    Arpaci, Ibrahim
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2019, 90 : 181 - 187