Information sharing across multiple supply chain tiers: A Delphi study on antecedents

Kembro, Joakim; Näslund, Dag; Olhager, Jan

doi:10.1016/j.ijpe.2017.06.032

Cited by 169 publications

(135 citation statements)

References 63 publications

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“…Furthermore, the findings of this study demonstrated that organization‐related inhibitors of risk information sharing are associated with miscommunication, formalization, and culture. A lack of SCRM culture in organizations, deficiency of formalization on risk‐sharing criteria, and defective communication among supply chain members impede risk information sharing among partners, consistent with the results obtained by Fan et al () and Kembro, Näslund, and Olhager (). Additionally, our findings supported the idea that increasing the network of relationship in the supply chain escalates the deficiency of SCRM culture and it gives rise to miscommunication among supply chain partners, as highlighted by Kembro et al ().…”

Section: Discussionsupporting

confidence: 88%

“…A lack of SCRM culture in organizations, deficiency of formalization on risk‐sharing criteria, and defective communication among supply chain members impede risk information sharing among partners, consistent with the results obtained by Fan et al () and Kembro, Näslund, and Olhager (). Additionally, our findings supported the idea that increasing the network of relationship in the supply chain escalates the deficiency of SCRM culture and it gives rise to miscommunication among supply chain partners, as highlighted by Kembro et al (). Barratt () highlighted that developing a clear and open communication is necessary for improving information sharing.…”

Section: Discussionsupporting

confidence: 88%

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The inhibitors of risk information sharing in the supply chain: A multiple case study in Turkey

Saglam

Sezen

Çankaya

2020

Contingencies & Crisis Mgmt

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One of the greatest threats faced by organizations is disruption in the supply chain arising from not sharing risk information among the supply chain partners. The aim of this study is to identify the inhibitors of risk information sharing in a supply chain by using practical-side evidence. An exploratory multiple case design was utilized to investigate why supply chain partners in Turkey may be reluctant to share risk information among their members and provide solutions to overcome these barriers. The results of the study indicate that the inhibitors of risk information sharing fall into three categories: risk-related, organization-related, and management-related. Furthermore, the findings demonstrate possible solutions for reluctance in risk information sharing among supply chain partners based on managers' experiences. K E Y W O R D Scase study, risk information sharing, risk management, supply chain risk management

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 88%

The inhibitors of risk information sharing in the supply chain: A multiple case study in Turkey

Saglam

Sezen

Çankaya

2020

Contingencies & Crisis Mgmt

View full text Add to dashboard Cite

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“…(See detailed explanation in [18]). Delphi has been adapted in numerous research studies designed for needs assessments, policy determinations, and forecasting and program planning [19][20][21]. In the area of supply chain management, studies highlighting applications of the Delphi technique for investigating factors influencing decision making can be found in [22][23][24][25].…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, fifteen well-known academics, senior consultants, and investigation journalists researching TC supply chain traceability and related topics were conjointly invited. To determine the suitable size of the panel, a method prescribed by [21,24] was followed.…”

Section: Subject Selection (Step 2)mentioning

confidence: 99%

Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study

Agrawal

Pal

2019

Sustainability

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The purpose of this study is twofold. First, to explore and classify factors influencing traceability implementation, and second, to cluster essential traceability-related information that demands recording and sharing with businesses and customers, in the context of the textile and clothing supply chain. A Delphi study is conducted with 23 experts (including research practitioners and industry experts) to explore, validate, and classify traceability factors and related information using distribution analyses and hierarchal clustering. As a result, 14 factors and 19 information sets are identified and classified with a moderately high agreement among the experts. Among these, risk management, product authentication, and visibility are the highest ranked and the most important factors influencing traceability implementation in the textile and clothing supply chain. While origin, composition, and sustainability-related information are crucial for sharing with customers, the information vital to businesses includes manufacturer/supplier details, product specifications, and composition. It is noteworthy that this research is among the few that classifies traceability factors and information through expert perspectives, and it creates decisive knowledge of traceability for the textile and clothing supply chain. It further provides insights on the extent to which this information can be shared among supply chain actors. Outcomes of this study can be helpful for the development of an information traceability framework. Policymakers can use the results to draft traceability guidelines/regulations, whilst top management can develop traceability-related strategies.

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“…Continual advances in information and communications technology (ICT) have led to near-global connectivity. These advancements have not only made global sourcing and outsourcing [11,12] more practicable, it is also becoming easier for buyers and suppliers and sub-suppliers to pass on information [11,13]. On the other hand, critical stakeholders are more able than ever before to draw attention to the negative impacts of global firms' operations all around the globe [3,8,[14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Transparency for Multi-Tier Sustainable Supply Chain Management: A Case Study of a Multi-tier Transparency Approach for SSCM in the Automotive Industry

2020

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Sustainability in supply chain management (SSCM) has become established in both academia and increasingly in practice. As stakeholders continue to require focal companies (FCs) to take more responsibility for their entire supply chains (SCs), this has led to the development of multi-tier SSCM (MT-SSCM). Much extant research has focused on simple supply chains from certain industries. Recently, a comprehensive traceability for sustainability (TfS) framework has been proposed, which outlines how companies could achieve MT-SSCM through traceability. Our research builds on this and responds to calls for cases from the automotive industry by abductively analysing a multi-tier supply chain (MT-SC) transparency case study. This research analyses a raw material SC that is particularly renowned for sustainability problems—the cobalt supply chain for electric vehicles—and finds that the extant literature has oversimplified the operationalisation of transparency in MT-SSCM. We compare the supply chain maps of the MT-SC before and after an auditing and mapping project to demonstrate the transparency achieved. Our findings identify challenges to the operationalisation of SC transparency and we outline how FCs might set to increase MT-SC transparency for sustainability.

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Information sharing across multiple supply chain tiers: A Delphi study on antecedents

Cited by 169 publications

References 63 publications

The inhibitors of risk information sharing in the supply chain: A multiple case study in Turkey

The inhibitors of risk information sharing in the supply chain: A multiple case study in Turkey

Traceability in Textile and Clothing Supply Chains: Classifying Implementation Factors and Information Sets via Delphi Study

Transparency for Multi-Tier Sustainable Supply Chain Management: A Case Study of a Multi-tier Transparency Approach for SSCM in the Automotive Industry

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