A multi-method examination of barriers to traceability in Industry 5.0-enabled digital food supply chains

Bishal Dey Sarkar, Isha Sharma, Vipulesh Shardeo
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Abstract

PurposeRecent worldwide developments have altered how businesses operate. As a result, when making business decisions, the emphasis for many industries has shifted towards digital adoption to ensure sustainability, and the food supply chain is no exception. However, a substantial gap exists in assessing the barriers to a digitised food supply chain enabled by Industry 5.0 technologies. This study strives to bridge the gap by identifying and assessing the barriers to improved traceability.Design/methodology/approachFor this study, a mixed method approach was used encompassing both qualitative and quantitative techniques, including an online survey, exploratory factor analysis (EFA), and the fuzzy evidential reasoning approach (FERA). The literature survey and expert opinion first yielded a list of 18 barriers, which were subsequently examined using EFA. As a result, four barriers were removed. The remaining 14 barriers were then assessed using FERA from the perspectives of the Technology, Organisation and Environment (TOE) framework. Further, a sensitivity analysis was performed to test the model’s reliability.FindingsThe present study resulted in the prioritisation of barriers from the TOE perspective. According to the findings, the top three barriers that impede the traceability of Industry 5.0-enabled digital food supply chains are Limited Digital and Physical Infrastructure, Inadequate Capital Investment, and the Intricate Supply Chain Framework.Research limitations/implicationsThe findings from this research will prove valuable for decision-makers, practitioners and policymakers in developing methods for improving traceability within the digital food supply chain. Concerned stakeholders may use the findings to identify and take immediate action for better decision-making.Originality/valueThis study’s originality lies in its position as one of the first to identify and examine the challenges to better traceability in an Industry 5.0-enabled digital food supply chain. It also adds value by broadening the TOE framework’s scope in the Industry 5.0-enabled digital food supply chain context.
采用多种方法研究工业 5.0 数字食品供应链中的可追溯性障碍
目的最近的全球发展改变了企业的运营方式。因此,在做出商业决策时,许多行业的重点已转向采用数字化技术来确保可持续发展,食品供应链也不例外。然而,在评估工业 5.0 技术带来的数字化食品供应链的障碍方面还存在很大差距。本研究试图通过确定和评估提高可追溯性的障碍来弥补这一差距。设计/方法/方法本研究采用了一种混合方法,包括在线调查、探索性因子分析(EFA)和模糊证据推理方法(FERA)等定性和定量技术。通过文献调查和专家意见,首先列出了 18 个障碍,随后使用 EFA 对其进行了研究。结果,删除了 4 个障碍。然后,从技术、组织和环境(TOE)框架的角度,使用 FERA 评估了剩余的 14 个障碍。此外,还进行了敏感性分析,以测试模型的可靠性。 研究结果本研究从 TOE 角度对障碍进行了优先排序。根据研究结果,阻碍工业 5.0 数字食品供应链可追溯性的三大障碍是有限的数字和物理基础设施、资本投资不足以及错综复杂的供应链框架。本研究的独创性在于,它是首批确定并研究在工业 5.0 支持的数字化食品供应链中提高可追溯性所面临挑战的研究之一。此外,它还扩大了 TOE 框架在工业 5.0 数字食品供应链中的应用范围,从而增加了研究价值。
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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