Search results

Focusses on the identification of the significant differences in the assessment of the importance of 35 carrier selection variables by both carriers and shippers. The results indicate that significant perceptual differences do exist for those surveyed, and it is quite possible that such differences also exist in the general population. Industrial marketing managers involved in satisfying shipper needs must gain an appreciation of actual shipper needs in order to develop service mixes which will satisfy those needs more thoroughly.

Examines the difference in perceptions of 18 carrier selections factors between import shippers, export shippers, and international containership carriers. MANOVA was used to determine differences between the three groups. Suggests that there are significant differences between import shippers and carriers; export shippers and carriers; and import shippers and export shippers. Significant differences between the import shipper and carrier groups were found on the loss and damage and equipment availability factors. Significant differences between the export shipper and carrier groups were found on the rate changes, service frequency, financial stability, service changes, and equipment availability factors. The only significant difference between the import shipper and export shipper groups was found on the door‐to‐door transportation rates factor.

A seaport is an essential part of a supply chain, but many ports experience truck shortages, creating pressure for port authorities from shippers who need more trucks that move cargo. This study explores and ranks the motives for adopting a truck-sharing concept (where shippers share the same truck for delivery) as a mechanism to improve transport capacity.

This study adopts a multi-method approach – both interviews and surveys. Interviews are first conducted with shippers to explore truck-sharing usage motives. Next, quantitative surveys of both shippers and carriers are conducted to rank those motives.

The study identifies five motives (operational efficiency goal, quick transport solution, sustainability policy, convenience-seeking behavior and secure transport process) for truck-sharing, four critical transport attributes (lower charges for freight, distance travelled, full capacity utilization and environmental recognition), four psychological consequences (monetary savings, greater safety, instant availability of trips and clarification of environmental values), and six core values (secure transport process, being careful of money, ease of doing business, sustainability, status in the community and recognition by customers of shippers).

The qualitative results will help researchers better understand how usage motives influence shippers' willingness to share a truck for transport needs. The quantitative results are useful for ranking truck-sharing motives by their importance.

Based on the findings, managers of carriers can categorize shippers according to their specific needs and thereby customize promotions to attract more shippers.

The findings provide the first, exploratory insights into shippers' motives.

The green logistics literature remains undecided on how collaboration between shippers (i.e. logistics buyers) and logistics service providers (LSPs) may facilitate green logistics practices (GLPs). This paper identifies two types of collaboration mechanisms, relation specific and knowledge sharing, to systematically examine their influence on facilitating the different types of GLPs – as seen by shippers versus LSPs.

Survey responses of 169 shippers and 162 LSPs in Sweden were collected and analysed using exploratory- and confirmatory factor analysis, followed by multiple regression analysis.

The findings reveal that neither of the actors consistently favour a certain type of collaboration mechanisms for facilitating all types of GLPs. Although it was found that both actors share the same view on the role of collaboration mechanisms for some GLPs, their views took contrasting forms for others.

This study contributes to the green logistics literature by incorporating a trilateral distinction to present collaboration recommendations for GLPs, based on (1) the collaboration mechanism at play, (2) the actor's perspective and (3) the GLP in question.

Insights are offered to managers at shipper/LSP firms to apply the right (“fit for purpose”) collaboration mechanisms in their relationships with their logistics partners with respect to the desired GLPs.

This is one of the first large-scale studies to systematically reveal in what way collaboration can facilitate the different types of GLPs.

This study follows the tenets of the resource dependence theory (RDT) to investigate the effects of four dimensions of industry-level environmental uncertainty – munificence, dynamism, complexity and innovative intensity – on a shipper's cross-buying (i.e. outsourcing across multiple service categories) in logistics outsourcing arrangements.

Negative binomial regression was used to test the hypotheses with a sample of US manufacturers. Measures were developed through information acquired from a proprietary database of 3PL companies obtained through Armstrong and Associates, Inc. and publicly available industry measures from the US Manufacturing Census and Compustat.

The findings indicate that individual dimensions of environmental uncertainty exhibit distinct influences on shippers' cross-buying in their logistics outsourcing arrangements. Specifically, the growth and initial innovative intensity of shippers' industries lead to an increased number of logistics service categories outsourced to 3PLs, while industry dynamism and exceptionally high innovative intensity drive the opposite effect.

These findings provide valuable guidance to 3PLs with respect to decisions related to the acquisition of specialized transportation, storage, information systems and personnel assets to serve specific industries. The findings highlight industry conditions that are more likely to lead shippers to outsource across a wider array of logistics service categories and, as a result, potentially yield higher customer retention and profit margins.

While extant 3PL literature posits that shippers' individual strategic orientations and capabilities impact their outsourcing strategy, this study contributes to the literature by providing a theoretical-based empirical examination of the industry-level influencers of such behavior.

Sustainability approaches across product supply chains are well-known, while similar knowledge on transport supply chains (TSC) is limited. The purpose of this paper is to explore sustainability approaches and managerial challenges in extending sustainability across a TSC.

This paper presents a case study of a TSC with a shipper, a third-party logistics firm and a hauler. Each actor’s views on sustainability-related communication and relations with other TSC actors are analyzed through the lens of agency theory.

Each dyad in the TSC reveals different, more or less collaboration-based approaches. Challenges are revealed, including the lack of shipper understanding for the TSC context and the use of immature contracts, which disincentivizes sustainability compliance. The multi-tier study object reveals the silencing of distant actors and the need for actors to take on mediating roles to bridge information asymmetries.

Combining literature perspectives (relations, communication and agency theory) provides a deeper understanding of the approaches applied and identifies different challenges. The inclusion of agency theory reveals principal problems such as information asymmetries between agents and less-informed principals and suggests complementary labels of supply chain actors.

Practical contributions include the highlighting of managerial challenges, which can aid managers in extending sustainability across TCSs.

The case study method offers insights into collaboratively improving sustainability in supply chains (such as using contracts), thus having social and environmental implications.

The paper narrows knowledge gaps about managing sustainability among logistics service providers and analyzes data from multi-tier actors.

The purpose of this research is to gain a better understanding of how a crowd-shipping platform can achieve a critical mass of senders and carrier crowd members to yield network effects that are necessary for the platform to grow and thrive. Specifically, this research studies the participation decisions of both senders and carriers over time and the impacts of the resulting feedback loop on platform growth and performance.

An agent-based model is developed and used to study dynamic behavior and network effects within a simulated crowd-shipping platform. The model allows both carriers and senders to be represented as autonomous, heterogeneous and adaptive agents, whose decisions to participate in the platform impact the participation of other agents over time. Survey data inform the logic governing agent decisions and behaviors.

The feedback loop created by individual sender and carrier agents' participation decisions generates complex and dynamic network effects that are observable at the platform level. Experimental results demonstrate the importance of having sufficient crowd carriers available when the platform is initially launched, as well as ensuring that sender and carrier participation remains balanced as the platform grows over time.

The model successfully demonstrates the power of agent-based modeling (ABM) in analyzing network effects in crowd-shipping systems. However, the model has not yet been fully validated with data from a real-world crowd-shipping platform. Furthermore, the model's geographic scope is limited to a single census tract. Platform behavior will likely differ across geographic regions, with varying demographics and sender/carrier density.

The modeling approach can be used to provide the manager of a volunteer-based crowd-shipping program for food rescue with insights on how to achieve a critical mass of participants, with an appropriate balance between the number of restaurant food donation delivery requests and the number of crowd-shippers available and willing to make those deliveries.

This research can help a crowd-shipping platform for urban food rescue to grow and become self-sustainable, thereby serving more food-insecure people.

The model represents both senders and the carrier crowd as autonomous, heterogeneous and adaptive agents, such that network effects resulting from their interactions can emerge and be observed over time. The model was designed to study a volunteer crowd-shipping platform for food rescue, with participant motivations driven by personal values and social factors, rather than monetary incentives.