Most current blockchain and carbon emission studies are from engineering and sciences disciplines. By incorporating blockchain technology into supply chain integration capabilities, the firms are be able to work collaboratively with each other to enhance the supply chain integration and simultaneously reduce the carbon emission in a supply chain. This paper presents a conceptual framework to understand the role of blockchain in a low carbon supply chain management. Applying the Socio-Technical Theory and Resource-Based View, the research propositions between blockchain, supply chain integration capability and carbon emission are proposed in the research framework. The results indicate that the blockchain technology may be viewed as a strategic management approach to enhance supply chain integration and reduce the carbon emissions. In addition, it may be adopted as an operational tool to track carbon footprint, streamline processes and improve efficiency of carbon management to minimize the overall emissions in supply chains. The paper contributes to the blockchain literature and its applications in low carbon supply chain management and provides recommendation for future research.

Strengthening carbon regulations and competitive pressures are forcing supply chains to provide environmental (e-) products to replace traditional (t-) products. However, cap-and-trade policy allows manufacturers, the main carbon emission emitters, to trade their emission permits freely. Considering manufacturers' power and key role in producing and carbon trading, we develop a duopoly model consisting of two competing manufacturers. Despite asymmetrical carbon emission reduction efficiencies, the two manufacturers can independently and simultaneously decide their respective t-/e-products outputs, emission reduction levels, and permits trade quotas. The unique Nash equilibrium is derived with the overall cap. We find that the low-cost manufacturer uses its cost advantage to invest more in emission reduction, then sells the excess emission permits to its rival, but makes its rival more competitive in product market. Interestingly, our results show that cap-and-trade policy triggers an industry collusion in which manufacturers reduce competition and improve the power and profits by reducing overall output and adopting differentiated product strategy. Furthermore, the cost advantage and high product substitution can accelerate low-cost manufacturer's transformation but hinder high-cost manufacturers. The impacts of cap-and-trade policy on consumer surplus and social welfare are also discussed to provide guidance for policy makers.

Purpose: – Previous research on supply chain integration (SCI) enablers has primarily focussed on interorganizational relationships, the purpose of this paper is to broaden the discussion to include interpersonal relationships (IPRs). Design/methodology/approach: – Based on a comprehensive literature review, a series of propositions are postulated and synthesized into a conceptual model of how IPRs maintain and enable SCI, which is decomposed into strategic alliance, information sharing, and process coordination. Findings: – The authors find that IPRs including personal affection, communication, and credibility, have a positive influence on SCI, and these links are mediated by interorganizational relationships including trust, commitment, and power. Originality/value: – The framework developed in this study provides new insights into the role of interpersonal networks in interorganizational relationships, which lead to SCI.

Purpose: The purpose of this paper is to identify the key drivers and challenges to supply chain collaboration in the humanitarian sector; to appraise the relationships between international non-governmental organizations (INGOs) and local non-governmental organizations (LNGOs) during disaster relief; and to explore the humanitarian context in regard to supply chain collaboration.Design/methodology/approach: Literature from both the commercial and humanitarian sectors is discussed in the context of vertical partnerships. A Jordanian study spanning a network of 26 international and LNGOs is explored via semi-structured interviews.Findings: The research provides valuable insights on the challenges facing LNGOs and INGOs when developing partnerships. Contextual factors, including host governmental policies and the social-economic setting of a disaster directly affect the motivations for supply chain collaboration between LNGOs and INGOs.Research limitations/implications: The research is built on interviewees with 30 humanitarian professionals working in one country during an extended crisis. The majority of the empirical data are only from one actor’s perspective, thus further research into dyadic and network relationships is required. Approaches to addressing the diverse cultural and decision-making perspectives of LNGOs and INGOs warrant further investigation.Practical implications: Recognizing the motives and challenges to vertical partnerships between LNGOs and INGOs will assist the managers, both at the strategic and operational levels, to find solutions and evolve strategies to build effective partnerships. Compromise and consideration for partner’s drivers and cultural views are essential for effective joint humanitarian relief initiatives.Originality/value: This paper extends supply chain collaboration to a humanitarian context. Overcoming the challenges facing collaborative efforts and complementary nature of the drivers provide a means to achieve effective partnerships. Despite the uniqueness of the humanitarian context, such as the secondary nature of cost and dynamic demand, the core principles of collaboration still hold.

The study aims to provide an in-depth analysis of a transportation capacity shortage issue affecting Australian logistics service providers. Transportation capacity shortage is an important issue in all transportation modes. In this study, the driver shortage is viewed as an antecedent variable to estimate the impact of transportation capacity shortage on logistics performance. This study investigates the underlying relationships between driver shortage, logistics capability, and logistics performance according to resource-based theory. Structural equation modeling (SEM) was used to analyze the measurement models and structural model. The empirical results illustrate that driver shortage indirectly influences logistics performance, the logistics capability is a mediator factor in the relationship between driver shortage and logistics performance in logistics service providers. We argue that this provides valuable insights for transportation capacity shortage management.