PurposeCollaboration is an important emerging dimension of sustainable supply chain management. How to improve supply chain collaboration (SCC) by means of operational excellence approaches has become an important research topic. The Internet of things (IoT), an important means of operational excellence, has also received increased attention. For better collaboration by the IoT, this study proposes a novel methodology to evaluate the measures of IoT adoption in SCC.Design/methodology/approachBased on the six-domain model and the common classification of collaboration, the measures of the IoT and the criteria of SCC are developed, respectively. A hybrid multi-step methodology that combines neutrosophic set theory, analytic hierarchy process (AHP) and technology for order preference by similarity to an ideal solution (TOPSIS) is proposed to complete the evaluation.FindingsThe results show that improving information transparency, strengthening the integration of management information systems and improving large data processing abilities are the most important measures of the IoT in improving SCC. Measures such as introducing sensing technology and laser scanning technology rank at the bottom and are relatively unimportant.Practical implicationsThe research results provide insights and references for firms to improve SCC by adopting appropriate IoT measures.Originality/valueMost of existing studies indicate the significance of technology in SCC. But this study shows a different conclusion that technologies rank the bottom, while information transparency is more important. And a suitable explanation is given. It further enriches the theoretical studies in SCC field.
The Belt and Road Initiative (BRI) has resulted in international, cross‐border supply chains returning to a new prominence. The BRI presents opportunities for cross‐border supply chain collaboration (SCC) research. Assessing the influencing factors of cross‐border SCC is beneficial for understanding and improving this evolving, globally influential international trade policy. The BRI is quite complex so that subjective assessment methods are useful but need to be improved. To address this issue, this paper initially develops a cross‐border SCC factor framework based on synergetic theory. A vague set and DEMATEL methods are integrated to form a unified model to support the assessment. A combination weighting that uses analytic hierarchy process and an entropy weighting method, that is, a data crawler for BRI‐related documents, to ensure that objective importance weights of the factors in the Belt and Road context are achieved. The results show that information sharing, profit allotment, the degree of trust, and goal congruence as common drivers of SCC are not driving factors in the Belt and Road cross‐border context. They are core issues that do not affect cross‐border SCC directly. Senior manager support and customs regulation are two important drivers of cross‐border SCC. The practitioners of cross‐border SCC should not only focus on the support from senior managers and customs regulation but also attempt to improve performance, such as information sharing and trust, to obtain more support from senior managers and policy makers to promote cross‐border SCC indirectly.
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