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Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study
Journal of Business Research ( IF 11.3 ) Pub Date : 2022-09-22 , DOI: 10.1016/j.jbusres.2022.113315
Surajit Bag, Pavitra Dhamija, Rajesh Kumar Singh, Muhammad Sabbir Rahman, V. Raja Sreedharan

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.



中文翻译:

基于大数据分析和人工智能技术的协同平台赋能医疗供应链吸收能力:实证研究

医疗保健供应链涉及在正确的时间、正确的地点和正确的数量制造和交付药物。在充满不确定性的世界中,尤其是致命的流行病,医疗保健供应链的数字化已成为迫切需要实施的现象之一,为此,组织正专注于全渠道医疗保健方法。本文探讨 (a) 基于大数据分析和人工智能 (BDA-AI) 技术的协作平台在全渠道医疗保健流程中增强吸收能力的前因;(b) BDA-AI 协作平台在全渠道医疗保健流程和组织绩效中的吸收能力的影响。这些数据是使用在南非工作的医疗保健供应链高管的结构化问卷收集的。研究结果表明,管理因素的参与将提高医疗保健组织开发 BDA-AI 技术驱动的协作平台的能力,以从大数据集中吸收、转移和利用关键信息。它将增强医疗保健供应链的能力,为医疗保健业务提供创新性能。这项工作是同类研究中第一个检查在全渠道供应链背景下获得的基于大数据的知识。从大型数据集中传输和利用关键信息。它将增强医疗保健供应链的能力,为医疗保健业务提供创新性能。这项工作是同类研究中第一个检查在全渠道供应链背景下获得的基于大数据的知识。从大型数据集中传输和利用关键信息。它将增强医疗保健供应链的能力,为医疗保健业务提供创新性能。这项工作是同类研究中第一个检查在全渠道供应链背景下获得的基于大数据的知识。

更新日期:2022-09-22
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