Purpose: The issue of empty truck trips is largely ignored in the current literature. In order to cover this important research gap, the purpose of this paper is to explore, describe, categorize and rank the potential truck-sharing constraints for container trucks traveling empty around the port gates. Design/methodology/approach: In order to contribute empirically to the current body of knowledge and understandings of truck-sharing constraints, this paper adopts a multi-method empirical approach involving both qualitative interviews and quantitative questionnaire surveys. Findings: Among many key constraints that influence the future of truck-sharing opportunities, the authors determine, for example, that a carrier’s ability to earn the trust of its competitors is one of the top most important factors of success for a fruitful truck-sharing event. The problem is, perhaps, further complicated because of the increasing competitive environment in the container transport industry, as well as the lack of effective coordination between the key parties involved. Research limitations/implications: None of the earlier studies has provided a broad understanding and ranking of the truck-sharing constraints that should be considered in truck-sharing events, although the empty trips issue has been limitedly mentioned in the recent academic literature. Practical implications: Empty truck trips are wasted miles. Wasted empty miles decrease transport capacity in the container distribution chain along with causing an increase in carbon emission, traffic congestion, fuel consumption and environmental pollution. The research results can be used by policy makers to underpin effective measures to prevent the low utilization of trucks. Originality/value: This study addresses an important gap. To the authors’ knowledge, this is the first study in the area that ranks truck-sharing constraints to reduce empty trucks trips.

Purpose: Supply chain risk (SCR) has been extensively explored in various sectors, yet there is a notable scarcity of SCR studies in the dairy industry. This study aims to identify the primary and distinctive risks in the dairy supply chain (DSC), propose a typological model for SCR, highlight challenges specific to the DSC and offer mitigation strategies. Design/methodology/approach: We employ a systematic literature review to collect and review relevant research articles published between 2010 and 2019 to identify the main risks and mitigation strategies associated with the DSC, enabling the construction of a typological model of DSC risks. Findings: Results of the systematic review of the SCR literature show that the main DSC risks include on-farm risk (e.g. risks originating from the farming system), off-farm risk (e.g. supply risk, demand risk and manufacturing risk) and inherent SCR (e.g. logistics risk, information risk and financial risk). Notably, we find that the farming system plays a key role in today’s agricultural supply chain operations, indicating the importance of considering on-farm risk in the entire DSC. Additionally, mitigation strategies are located in response to the identified DSC risks by the typology of DSC risks. Originality/value: This paper is the first attempt to develop a typological model of SCR for the dairy industry by a systematic literature review. The findings contribute to providing a comprehensive understanding of DSC risks by bridging the gap of ignoring the on-farm risks of the DSC in the existing literature. The typology may serve as a guide in practice to develop mitigation strategies in response to DSC risks.

Purpose: Truck-sharing stands out as an impactful strategy for minimizing emissions and optimizing the streamlined transport of goods. This study seeks to address a gap in understanding by investigating the barriers shippers face in adopting truck-sharing services.Design/methodology/approach: This study employs the innovation resistance theory to examine a range of potential barriers. A total of seven potential barriers are included in the investigation. Survey data from Bangladeshis are analyzed using an artificial neural network.Findings: The barriers, ranked in importance, include image, tradition, value, usage, risk, psychological ownership and privacy concerns. Thus, psychological barriers (image and tradition) mostly underpin resistance to change, showing that the issue is more rooted in shippers' perceptions than operations. Also, they often do not find a financial cause to use truck-sharing services. Usage barriers, explicitly addressing the practical application of truck-sharing services, have now assumed the third position, underscoring their significance in overcoming the barriers.Research limitations/implications: The findings provide valuable insights for policymakers to reconsider their approaches in addressing the most formidable truck-sharing barriers.Practical implications: This insight holds implications for shippers and transport companies, offering strategic guidance to optimize their engagement with and support for such services.Originality/value: To the best of our knowledge, this study examines shippers' reluctance to adopt truck-sharing services in a developing country.

Purpose: Humanitarian organizations (HOs) continue to lag in adopting the benefits of vehicle-sharing during relief operations. A detailed understanding of how different vehicle-sharing challenges interact and affect each other is crucial for identifying key leverage points, and prioritizing actions. Design/methodology/approach: This study employs the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method by contacting officials from HOs. The DEMATEL method provides a visual representation of causal relationships among selected vehicle-sharing challenges. This study focuses on Bangladesh, a nation that faces hazards, rendering it one of the most disaster-prone countries globally. Findings: The study uncovers intricate interconnections among key challenges related to vehicle sharing. Notably, it identifies government incentives as the most influential factor impacting other challenges. For example, enhancing government support can diminish top management’s reluctance by highlighting leadership-building programs, thereby fostering a more collaborative environment. This implies that addressing certain challenges can lead to improvements in others. In another instance, compliance standards cannot be flexible until issues of corruption and unethical behavior are addressed. Research limitations/implications: By uncovering these interrelationships among vehicle-sharing challenges, the study provides a framework for prioritizing efforts towards fostering interorganizational collaboration. Practical implications: By addressing these interconnected challenges, the findings aim to create a more robust vehicle-sharing system in Bangladesh. Solving one challenge often leads to progress in other areas, showing the importance of a holistic and integrated approach to policy-making decisions. Originality/value: This study constitutes the second empirical exploration within the sparse literature on vehicle-sharing during relief operations. Sharing of assets is becoming a key concern among HOs.