Modelling supply chain visibility: a framework with considerations for manufacturing and business

IF 7.3 2区 工程技术 Q1 ENGINEERING, INDUSTRIAL Journal of Manufacturing Technology Management Pub Date : 2024-07-23 DOI:10.1108/jmtm-09-2023-0375
Funlade T. Sunmola, Uje D. Apeji
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Abstract

Purpose

Supply chain visibility plays a pivotal role in ensuring stakeholders have access to and share mutually beneficial information - information that is critical to processes, operations, and informed decision-making. This study leverages a framework to explore the influence of four key factors on supply chain visibility: supply chain linkages, supply chain relationships, green absorptive capacity, and information sharing.

Design/methodology/approach

This investigation adopted a survey-based research methodology to collect data. A sampling strategy was employed to recruit participants from various industry sectors, with a primary focus on manufacturing and business. A total of 204 useable questionnaires were obtained. Exploratory factor analysis was conducted to identify underlying factors within the data. Confirmatory factor analysis (CFA) was then used to assess the validity and reliability of the identified factors. Finally, structural equation modelling was employed to test the hypothesised relationships between the constructs studied.

Findings

This study's findings, particularly the significant positive correlations observed between information sharing, supply chain relationship, internal linkage, and green absorptive capacity, provide evidence that these factors are key drivers of supply chain visibility. Additionally, the analysis revealed that external linkages with supply chain partners further enhance information sharing within the chain.

Originality/value

This study offers a unique contribution by exploring the interplay between green absorptive capacity, information sharing, internal and external supply chain linkages, and their combined influence on supply chain visibility. Extending prior research that focused primarily on information sharing and traditional supply chain relationships, this study integrates green absorptive capacity and linkages within a novel framework. Our findings suggest that green absorptive capacity enhances information sharing within the supply chain network, ultimately leading to improved visibility. Furthermore, the study distinguishes the influence of internal vs external linkages on visibility.

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供应链可视性建模:制造和商业考虑因素框架
目的 供应链可视性在确保利益相关者获取和共享互利信息方面发挥着关键作用--这些信息对流程、运营和知情决策至关重要。本研究利用一个框架来探讨以下四个关键因素对供应链可见性的影响:供应链联系、供应链关系、绿色吸收能力和信息共享。采用抽样策略从各行业部门招募参与者,主要集中在制造业和商业领域。共获得 204 份可用问卷。我们进行了探索性因素分析,以确定数据中的潜在因素。然后使用确认性因子分析(CFA)来评估所确定因子的有效性和可靠性。研究结果这项研究的结果,尤其是在信息共享、供应链关系、内部联系和绿色吸收能力之间观察到的显著正相关关系,证明了这些因素是供应链可见性的关键驱动因素。此外,分析还显示,与供应链合作伙伴的外部联系进一步加强了供应链内部的信息共享。 原创性/价值 本研究通过探讨绿色吸收能力、信息共享、内部和外部供应链联系之间的相互作用及其对供应链可见性的综合影响,做出了独特的贡献。以往的研究主要关注信息共享和传统供应链关系,本研究在此基础上将绿色吸收能力和联系整合到一个新颖的框架中。我们的研究结果表明,绿色吸收能力增强了供应链网络内的信息共享,最终导致能见度的提高。此外,本研究还区分了内部和外部联系对可见性的影响。
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来源期刊
Journal of Manufacturing Technology Management
Journal of Manufacturing Technology Management Engineering-Control and Systems Engineering
CiteScore
16.30
自引率
7.90%
发文量
45
期刊介绍: The Journal of Manufacturing Technology Management (JMTM) aspires to be the premier destination for impactful manufacturing-related research. JMTM provides comprehensive international coverage of topics pertaining to the management of manufacturing technology, focusing on bridging theoretical advancements with practical applications to enhance manufacturing practices. JMTM seeks articles grounded in empirical evidence, such as surveys, case studies, and action research, to ensure relevance and applicability. All submissions should include a thorough literature review to contextualize the study within the field and clearly demonstrate how the research contributes significantly and originally by comparing and contrasting its findings with existing knowledge. Articles should directly address management of manufacturing technology and offer insights with broad applicability.
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