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The purpose of the paper is to present an empirical study on the logistics innovation capability and its impacts on the supply chain risk in the Australian courier firms. Based on the resource-based review, logistics innovation capability provides valuable insight into mitigating supply chain risks in the Industry 4.0 era.

The research model focuses on the relationships between logistics innovation capability and supply chain risk. Partial least squares approach for structural equation modelling is used to validate the research model by empirically analysing survey data.

The empirical result shows negative relationships between logistics innovation capability and supply chain risks. These relationships may imply that firms can mitigate the negative impacts of supply chain risks by developing logistics innovation capabilities. The findings demonstrate the applicability of logistics innovation capability for mitigating supply chain risks in the Australian courier firms.

There are very few empirical studies on the mitigating supply chain risk through logistics innovation capability. The empirical results provide an insight into innovation management and risk management in logistics and supply chain. This insight offers practical guidance for developing and deploying logistics innovation capability to support and enable supply chain risk management strategies in the Industry 4.0 era.

Due to increasing supply chain complexity, the supply chain uncertainty has become an imperative issue, which hinders the development of modern logistics and supply chain management. The paper attempts to conceptualize reverse logistics uncertainty from supply chain uncertainty literature and present the types of reverse logistics uncertainty in a triadic model.

The concept of reverse logistics uncertainty is developed based on a triadic model of logistics uncertainty and supply chain uncertainty literature. A desk research is conducted to develop a taxonomy of reverse logistics uncertainty. To better depict the reverse logistics uncertainty, we use case studies to discuss the types of reverse logistics uncertainty in the triadic model.

The study reveals four types of supply chain uncertainties in the reverse logistics. We call them reverse logistics uncertainty. Type-A and Type-B uncertainty are new types of supply chain uncertainty in the reverse logistics.

The types of reverse logistics uncertainty have not been empirically validated in industries. Especially, the two new types including Type-A and Type-B reverse uncertainty need further exploration.

Although reverse logistics has been discussed in the past decades, very few studies have been conducted on the supply chain uncertainty in returns management arena. The paper offers valuable insights to better understand the supply chain uncertainty in the reverse logistics. This also provides suggestions for both managers and researchers to reflect on the reverse logistics uncertainty management and business sustainability.

COVID-19 has caused critical supply chain problems, especially in sustainable supply chain management, but very few empirical studies have been explored how to improve the firm sustainability through supply chain endeavours such as supply chain agility to manage the impacts of COVID-19. This paper aims to develop a model to incorporate supply chain agility and supply chain relationships that link firm sustainability to mitigate the impacts of the pandemic.

The authors conducted an online survey and collected 203 valid responses from businesses in the United Arab Emirates, and employed an exploratory factor analysis, mediated regression analysis and structural equation modelling methodology to test the models and hypotheses.

The authors find that the adoption of supply chain agility can improve supply chain relationships and positively impact sustainability. Meanwhile, supply chain relationships partially mediate the relationship between supply chain agility and sustainability. In addition, sustainability mitigates the impacts of COVID-19 pandemic on supply chains.

The results provide fruitful insights and implications for the challenges and uncertainties caused by the pandemic post COVID-19 and provide several directions for further research.

The purpose of this paper is to explore the role of interpersonal relationships (IPRs) in service supply chain integration (SSCI) in terms of strategic alliance, information integration, and process integration.

The research employs an exploratory/investigational approach to multiple case studies and empirically investigates effects of IPRs in SSCI. The data were mainly collected through semi-structured interviews with senior management staff from four service companies and their suppliers or customers in New Zealand. Archival data from the Internet and company documentations were also applied.

The authors find that three dimensions of IPRs influence SSCI in different ways. The effect of IPRs on SSCI is indirect: personal affection acts as an initiator, and personal credibility works as a “gate-keeper” and strengthens the confidence of interactive partners, while personal communication, a facilitator, plays a more important role in SSCI than personal affection and credibility.

The research provides managers in service supply chains the awareness of the importance of IPRs, as well as the characteristics of IPRs, in order to best utilize available resources. Managers should synergize all three dimensions of IPRs’ resources: make efforts to cultivate personal affection to avoid the instinctive isolation modern technology brings; attempt to accumulate positive personal credibility profiles; focus more on the role of personal communication and retain physical contact in SSCI processes.

This study contributes to SSCI literature by extending from the inter-organizational relationships (IORs) to interpersonal level relationships to explore the inner influence mechanism. Also, it explores the role of IPRs on all three dimensions of SSCI simultaneously rather than individual dimensions independently. Finally, it contributes to resource orchestration theory (ROT) by synthesizing three dimensions of IPRs resources, and IORs resources in order to achieve capabilities of SSCI. The study develops the individual-level research in supply chain integration (SCI) to a further depth.

The purpose of this paper is to explore the relationships between relationship commitment, cooperative behavior and alliance performance in agricultural supply chains. By investigating dyadic relationships between companies and their contract farmers (hereafter denoted by C+F), this study aims to investigate how relationship commitment influences cooperative behavior and how such behavior further influences alliance performance in C+F agricultural supply chains in China.

Based on data collected from 202 companies and 462 farmers in China, this study uses the structural equation modeling approach to test the conceptual model and related hypotheses.

For both companies and contract farmers, normative relationship commitment is a necessity for economically and socially cooperative behavior (i.e. specific investment and communication, respectively), while instrumental relationship commitment has no relationship with specific investment. Only socially cooperative behavior (communication) can improve alliance performance, while economically cooperative behavior (specific investment) has no relationship with alliance performance. For companies, instrumental relationship commitment reduces communication, but specific investment increases communication. For farmers, both instrumental relationship commitment and specific investment have no relationship with communication.

This study contributes to the literature on supply chain management by adopting a bilateral perspective and examining relationships among relationship commitment, cooperative behavior and alliance performance in the C+F context. It provides agricultural companies and contract farmers with valuable guidance to use relationship commitment and cooperative behavior to improve alliance performance in agricultural supply chains in China.

This paper focuses on the last-mile logistics (LML) operations in fulfilling online grocery orders and the related sustainability considerations in sparsely populated areas like Australia. It aims to examine how online groceries in sparsely populated areas can benefit from online business. Specifically, this study seeks to investigate whether a centralized order fulfillment approach is better than the existing approach which fulfills online orders from local grocery stores.

A multi-method approach is employed to conduct a high level of cost and emission analysis between the existing and the proposed approaches to illustrate the ratios between the two approaches in terms of cost and carbon emissions. Mathematical models are developed with support from the literature. The model is empirically validated with a case study of grocery distribution in the city of Gold Coast, Australia.

It finds that the centralized order fulfillment approach in sparsely populated areas can achieve LML sustainability with low cost, high efficiency and less double handling. Meanwhile, the separation of in-store and online retailing processes improves the in-store shopping experience and online shopping visibility, jointly improves customer satisfaction, and consequently achieves a positive effect on long-term sustainability. Additionally, the possibility of automating order picking and dispatching at a central place can make the processes more efficient and help build more sustainable grocery retailing supply chains by using more environmentally friendly systems.

This paper offers analytical and empirical insights into the sustainability of multi-channel grocery retailing supply chains. The high-level model developed first incorporates the concept of online shopping adoption rates and can serve as a decision-making tool for practitioners to improve supply chain sustainability in LML.

The purpose of this paper is to examine how interpersonal relationships (IPRs) and inter-organisational relationships (IORs) interact with each other as driving forces of supply chain integration (SCI). More specifically (the) three dimensions of IPR – personal affection, personal credibility, and personal communication – are examined in regards to how they affect inter-organisational relationships during SCI.

The research employed an exploratory multiple case study approach with four New Zealand case companies selected as the empirical basis. Data were collected through semi-structured interviews of managerial executives in relation to supply chain activities, which were triangulated with company archival data.

The authors found that IPRs are able to interact with IORs to influence the integration of supply chains. More specifically, IPRs influence IORs by initiating organisational relationships in the SCI context; and influences from IPR dimensions on IORs tend to be of differing magnitudes and have different evolutional paths across the whole SCI process.

This research contributes to knowledge about the roles and mechanisms through which IPRs shape and enable inter-organisational level relationships within the SCI context.

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.

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.

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.

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.

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.

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.

This study aims to investigate the impacts of product modularity (PM) and multiskilled employees (MEs) on new product development (NPD) outcomes and explore the moderating effect of supply chain involvement.

The authors used data collected from 317 manufacturers to empirically examine the conceptual model and conducted hierarchical regression analysis to test the hypotheses.

The results reveal that PM significantly improves NPD outcomes. The relationship between PM/MEs and NPD outcomes is strengthened when the level of supplier involvement is high, whereas the relationship between MEs and NPD outcomes is weakened when the level of customer involvement is high.

First, this study only focuses on PM and MEs as two types of modular designs. Second, the inter-relationship between modular designs and supply chain involvement might be contingent. Third, the authors use cross-sectional data that cannot reflect causal effects of modularity on NPD outcomes.

The findings contribute to the understanding of the alignment between modular designs and supply chain involvement considering NPD outcomes. This study also contributes to the concept of modularity by identifying MEs as a type of modular design.