Challenges of big data analytics for sustainable supply chains in healthcare – a resource-based view

IF 4.5 Q1 MANAGEMENT
M. Hussain, Mian M. Ajmal, Girish Subramanian, Mehmood Khan, Salameh Anas
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引用次数: 1

Abstract

PurposeRegardless of the diverse research on big data analytics (BDA) across different supply chains, little attention has been paid to exploit this information across service supply chains. The healthcare supply chains, where supply chain operations consume the second highest expenditures, have not completely attained the potential gains from data analytics. So, this paper explores the challenges of BDA at various levels of healthcare supply chains.Design/methodology/approachDrawing on the resource-based view (RBV), this research explores the various challenges of big data at organizational and operational level of different nodes in healthcare supply chains. To demonstrate the links among supply chain nodes, the authors have used a supplier-input-process-output-customer (SIPOC) chart to list healthcare suppliers, inputs (such as employees) supplied and used by the main healthcare processes, outputs (products and services) of these processes, and customers (patients and community).FindingsUsing thematic analysis, the authors were able to identify numerous challenges and commonalities among these challenges for the case of healthcare supply chains across United Arab Emirates (UAE). An applicable exploration on organizational (Socio-technical) and operational challenges to BDA can enable healthcare managers to acclimate efficient and effective strategies.Research limitations/implicationsThe identified common socio-technical and operational challenges could be verified, and their impacts on the sustainable performance of various supply chains should be explored using formal research methods.Practical implicationsThis research advances the body of literature on BDA in healthcare supply chains in that (1) it presents a structured approach for exploring the challenges from various stakeholders of healthcare chain; (2) it presents the most common challenges of big data across the chain and finally (3) it uses the context of UAE where government is focusing on medical tourism in the coming years.Originality/valueOriginality of this work stems from the fact that most of the previous academic research in this area has focused on technology perspectives, a clear understanding of the managerial and strategic implications and challenges of big data is still missing in the literature.
大数据分析对医疗保健可持续供应链的挑战——基于资源的观点
尽管不同供应链的大数据分析(BDA)研究多种多样,但很少有人关注跨服务供应链利用这些信息。医疗保健供应链是供应链运营支出第二高的领域,但尚未完全实现数据分析的潜在收益。因此,本文探讨了BDA在医疗保健供应链的各个层面所面临的挑战。设计/方法/途径基于资源基础观点(resource-based view, RBV),本研究探讨了大数据在医疗保健供应链不同节点的组织和运营层面的各种挑战。为了展示供应链节点之间的联系,作者使用了供应商-输入-流程-输出-客户(SIPOC)图表来列出医疗保健供应商、主要医疗保健流程提供和使用的输入(如员工)、这些流程的输出(产品和服务)以及客户(患者和社区)。通过主题分析,作者能够确定阿拉伯联合酋长国(UAE)医疗保健供应链案例中的许多挑战和这些挑战中的共同点。对BDA面临的组织(社会技术)和运营挑战进行适用的探索,可以使医疗保健管理人员适应高效和有效的策略。研究的局限性/意义可以验证已确定的共同社会技术和运营挑战,并应使用正式的研究方法探索其对各种供应链可持续绩效的影响。本研究对医疗保健供应链中BDA的文献进行了进一步的研究:(1)提出了一种结构化的方法来探索医疗保健链中不同利益相关者的挑战;(2)它提出了整个链条中最常见的大数据挑战,最后(3)它使用了阿联酋的背景,阿联酋政府在未来几年将重点放在医疗旅游上。这项工作的原创性源于这样一个事实,即该领域之前的大多数学术研究都集中在技术角度上,对大数据的管理和战略影响以及挑战的清晰理解在文献中仍然缺失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.40
自引率
16.10%
发文量
154
期刊介绍: Benchmarking is big news for companies committed to total quality programmes. Its enthusiastic reception by many prominent business figures has created high levels of interest in a technique which promises big rewards for co-operating partners. Yet, like total quality itself, it must be understood in its proper context, and implemented single mindedly if it is to be effective - this journal helps companies to decide if benchmarking is right for them, and shows them how to go about it successfully.
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