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Supply chains deliver goods and services between shippers and receivers, covering collection, transportation, distribution as well as their handling and storage in between. In particular, transportation services are carried out by different transport modes. In some modern supply chains, different categories of air cargo carriers – combinations, freighter-only, and/or integrators – provide critical transport services.

This chapter develops a methodology for estimating the performance of supply chains served by an air cargo carrier network. The methodology is based on indicators of infrastructure use, technical/technological level, operational factors, economic factors, and environmental performance. This proposed methodology is applied to estimate performance of supply chains served by an integrated air cargo carrier – FedEx Express – operating a single hub in the US domestic air network. Results indicate that the methodology may be useful for estimation of overall supply chain performance under the condition that relevant data are available.

With the diverse, heterogeneous nature of relationships being a key characteristic of service supply chains, their management is an important area for consideration. This is particularly true in the maritime logistics industry, yet the factors that lead to this heterogeneity are less well understood. This paper aims to explore the structure of relationships within the maritime logistics network and determine why they vary.

Interviews were carried out with 41 practitioners involved in the Taiwanese maritime logistics network. The data from these interviews were analyzed using thematic analysis and quasi-quantification.

The interviews identify that structural holes exist within this maritime logistics network, and that these particularly influence the relationships within this sector with ports being significantly affected. However, five factors are particularly identified that can further impact the strength of these relationships. Often, weak links between ports and both cargo owners and freight forwarders emerge as value-added services are provided by the network.

The findings are framed in a Taiwanese context, where cultural and political norms may give different results to other geographical regions. The research also limits consideration to containerized flows.

By providing detailed insights into relationship structures within the maritime logistics network, managers can take steps to develop appropriate links with other members of the network, reflecting upon the factors that lead to heterogeneity.

This paper expands knowledge on logistics service supply chains, identifying the importance of relationships in a derived demand environment. For maritime researchers, specific factors leading to relationship heterogeneity in the network are detailed, to inform future research.

This paper deals with network configurations in liner shipping and inland transportation from a carrier's perspective. The cost efficiency of different possible network configurations in the foreland-hinterland continuum is discussed based on a cost model and on a qualitative analysis. It is demonstrated that the tendency towards cargo concentration in a limited number of ports has led to the redesign of collection and distribution networks in the hinterland. Further cargo bundling in the foreland-hinterland continuum towards even fewer ports and inland centres is only interesting from a cost perspective if considerable economies of scale and density can be realised in the associated hinterland networks. The more cost efficient the network becomes, the less convenient that network could be for the shippers ' needs in terms of frequency and flex ibility. As such, the future configuration of liner shipping networks and inland transport networks will largely depend on the balance of power between carriers and shippers.

This chapter investigates productivity and cost patterns in the all-cargo US air transport sector. We empirically test the productivity growth influence of changes in unexplained technology, air operations movement characteristics, and factor input prices. Findings show productivity trends depicting negative growth for the 1993–2001 sample, then shifting measurably such that productivity trends depict positive growth for the 2002–2014 sample. The post 2001 growth was fueled by changes in unexplained technological advancements. We interpret this finding as an indication of the importance of technological innovation as a performance enhancer in this transport sector. Findings also reveal a lack of productivity change associated with changes in input prices and movement characteristics. We interpret input price findings as indicating increases in factor input prices such as wages and fuel prices are commensurate with enhanced labor and fuel productivity. The movement characteristic findings are attributable to a lack of sustained increases in load factors, stage length, network size and carrying more volume over the network (density).

Air cargo was traditionally considered as a by-product of passenger air transport. However, in the last decade a defined strategy for air cargo has gained a key position in the strategies of most combination airlines, contributing largely to the cash and profit levels of these airlines. The global air cargo industry is nowadays a mature industry with over 60 billion USD in direct revenues. The strategic context is, therefore, far beyond the basic entrepreneurial framework in which an emerging and young industry tends to operate. This chapter aims to gain an enhanced insight into the strategies of airlines that transport cargo, either in the bellies of passenger aircraft or in full-freighter aircraft. A Cluster Analysis generates a typology of seven representative clusters of air cargo operators’ strategy models. The typology proposes a spectrum of strategies for air cargo, ranging from the cluster group “Carpet Sellers” up to the “Cargo Stars” cluster. While the former tend to be the small airlines or all-cargo carriers which barely manage to cover their costs with their revenues, the latter are profitable, very large globally operating airlines that focus on both passengers and cargo with passenger and freighter aircraft. Within this spectrum there are five other main strategy groups: the “Basic Cargo Operators,” the “Strong Regionals,” the “Low Cost Low Yielder,” the “Large Passenger Wide-body Operators,” and the “Premium Cargo Operators.” Our findings suggest the existence of superior strategy models that could be defined as “winning strategies” that differ according to airline size.

This is the first of a series of three papers discussing a major benchmarking initiative in the air cargo freight industry sector. The project itself focused on nine major competitors in the cargo industry and included organisations known to be leaders in the areas of service excellence. The methodology used for establishing comparisons was an adaptation of the Malcolm Baldrige National Quality Award (MBNQA) (1996 version). A questionnaire was used with prompts covering various areas of quality management, people involvement in continuous improvement, service excellence aspects, customer focus and satisfaction aspects and finally business and operational performance aspects. Paper 1 discusses the changes that are taking place in the air cargo freight industry and sets the scene by presenting profiles of all of the competitors used in this study.

Air transport accounts for nearly 40% worth of the global trade cargo volume, where more than 50% of the air cargo is carried on passenger flights. Therefore, this paper aims to focus on identifying the influencing factors for both passenger and cargo demand-driven networks to smoothen the global supply chain.

The data for the study was collected through literature reviews and interviews with industry experts. The analytical hierarchy process was used to analyze the expert's opinions on the critical factors affecting air cargo demand growth. Regression analysis was conducted using the selected variables to develop a model to calculate air cargo demand growth.

According to the expert opinion, it was identified that facilities under airport capacities and facilities are mainly affected by the air cargo carried by combi carriers. The model was developed considering the air connectivity index and air cargo demand at destination variables.

The factors identified here are mainly related to the current situation in Sri Lanka. Applying this methodology to other economic zones will add new factors related to their economic contexts and could be generalized as the influencing factors for the growth of air cargo demand by finding more results.

Previous studies have been conducted using different factors and models to forecast air cargo demand, and those did not consider demand from combi and all-cargo carriers together. More than 98% of air cargo trades in Sri Lanka are happening through combi carriers. Hence, Sri Lanka will be a best case study to analyze the behavior of combi carriers.

This study aimed two objectives: The first objective was to explore carriers' intentions to use cargo electric vehicles (EVs) and the factors influencing these intentions in last-mile delivery (LMD). The other objective was to provide recommendations for policymakers and manufacturers to promote and customize cargo EVs to meet the requirements of carriers in the LMD sector.

In this study the authors constructed a research framework that adjusted and extended the original technology acceptance model (TAM). The proposed model combines eight psychological factors, including attitude, perceived usefulness, perceived ease of use, perceived risk, public engagement, face consciousness, financial incentive policy and carrier intention, in which four factors, namely attitude, perceived usefulness, perceived ease of use and intention, were obtained from the original TAM and the four remaining factors, namely perceived risk, public engagement, face consciousness and financial incentive policy, were added.

The results showed that psychological factors such as attitude, perceived ease of use, perceived risk, public engagement and face consciousness might affect carriers' intentions to use electric cargo vehicles in LMD service in Vietnamese cities. These results agree with the previous studies and confirm that attitude, perceived ease of use, perceived risk, public engagement and face consciousness might be important for shaping intention to use electric cargo vehicles in emerging markets.

This study has several limitations, first, the data were collected in Vietnam, a country with weak academic contributions. Therefore, these findings might not be generalizable to other areas. The authors expect to apply the same research framework to other countries to explore the similarities and differences across the countries. Second, the authors conducted the surveys in three cities; except for Hanoi, the other two cities are not really large markets in the LMD service sector. Third, the authors ignored the relationship between the demographic characteristics and electric cargo vehicles. Further studies should address this gap.

Based on the findings, manufacturers should ensure the high-quality performance of electric cargo vehicles in terms of extending driving range and shortening recharging time. Policymakers should develop the roadmaps for electric cargo vehicles, starting from switching from conventional cargo motorcycles to electric motorcycles. In addition, developing public charging infrastructure should be prioritized, which is the fundamental basis for operating electric cargo vehicles. Finally, manufacturers should research and develop a product that would improve the reputation of carriers because carriers with higher face consciousness are more likely to pursue brand-name and high-priced products in order to enhance their reputation.

This study contributes to the literature in two aspects: First, the authors investigated intentions to use electric cargo vehicles in LMD service, which is rare from other studies, and they further identified the psychological determinants of carriers' intentions. Second, the findings increase the knowledge of carriers' intentions and suggest implications for policymakers and manufacturers to promote the adoption of electric cargo vehicles in last-mile deliver service.

Alaska is the largest state by land area in the United States. It is also the most diverse in its climate and topography. This chapter will examine the geographic and operational features that make Alaska a unique environment for air cargo logistics. Some of these features sustain its competitive advantage in international air cargo activity. In particular, Ted Stevens Anchorage International Airport (ANC) is a major air cargo gateway for Asia trade with the contiguous United States. An overview of the airport's exclusive air cargo transfer operations will be discussed. Alaska is also one of the least populous states, with about half of the population living in and around the Anchorage area. Due to this, towns and villages ranging from the temperate Alaska Panhandle to well above the Arctic Circle remain dependent on commercial air cargo activity. The federal air cargo program known as Alaska Bypass will be examined as remaining both unique and necessary for the state's socio-economic development.