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The continued rise in e-commerce has contributed to recent growth of the air cargo industry. In addition, international demand for low volume-high value products as well as time-sensitive goods continues to enhance demand for air cargo services. This volume consists of 11 chapters exploring whether this transportation sector has positioned itself to successfully take advantage of the economic opportunities associated with changing global demand for goods and demand for timely transportation services. Areas of analysis cover costs and competitiveness, shipper services and air cargo demand, along with international competition and economic development. Employing various empirical techniques and theoretical perspectives, these chapters help the reader to understand the methods by which air cargo companies provide efficient and increasingly affordable services, and also how the use of these services enhances economic growth and development.

With an increasing air cargo demand in the global air cargo transport industry, not only domestic airlines but also foreign carriers are actively investing in the air cargo service sector and trying to provide a differentiated service in order to gain a competitive advantage. There are a variety of service quality models available but most research to date has not found an optimal model for the air cargo service sector.

Using questionnaire data collected from air freight forwarders in Korea with respect to the air cargo service provided by Korean Air, Asiana Airlines, and foreign carriers(JAL or China Eastern), this paper compares four models in measuring the service quality in the air cargo sector and identifies the best model. We then analyze the weakness of each airline’s service operation and make suggestions for improvement.

For demonstration analysis, the survey of domestic air cargo forwarders revealed that Reliability>Responsiveness> Supply ability>Security in important order in air cargo service quality dimension. In the context of this paper, we considered four models-unweighted SERVQUAL, unweighted SERVPERF, weighted SERVQUAL, and weighted SERVPERF–for our investigation into which is the most suitable model in the air cargo service sector with testing of goodness of fit by three criteria. Our results indicate that the most suitable model for the air cargo service sector is the weighted SERVPERF model.

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).

The increasing growth in global trade is promoting economic diversification through efficient air cargo logistics. The overdependence of Nigeria on mono-product export, mainly crude oil, hinder the successful implementation of economic diversification policy. However, air cargo export plays a significant role in any successful economic diversification policy. Despite the importance of air export of cargo to the economy, literature is scarce on the role of air cargo export in economic diversification studies. This chapter assesses the performance of air cargo export by highlighting its inherent opportunity to support economic diversification in Nigeria. The analysis draws on air cargo export data by volume, types, and airline market share in Nigeria. Regression analysis established a significant relationship between Nigeria's gross domestic product (GDP) and air cargo export. Johansen cointegration test showed that both short and long-run cointegration exists between air cargo and GDP in Nigeria. An increasing trend in Nigeria's air cargo export volume indicates the significance of air cargo export to support economic diversification policy in Nigeria. Airlines market shares have British Airways, Virgin Atlantic, Emirates, and Saudi Air dominating the exportation of cargo in Nigeria. Agricultural products dominate the air cargo export with 34.6% volume, followed by manufacturing products (23.6%). An all-inclusive policy that promotes international trade for the economic emancipation of Nigeria through diversification into agriculture and manufacturing sectors is necessary.

The purpose of this study is to examine the impact of the corona virus (COVID-19) pandemic on stock returns of listed cargo shipping companies.

The author employs the events study methodology to examine this phenomenon. A sample of 49 listed cargo shipping companies in the container, dry bulk and tanker sub-sectors from Asia, North America, and Europe was selected and their daily closing stock prices from 1st January 2020 to 31st December 2020 were utilized.

The results reveal that there was an overall negative overreaction to the announcement by World Health Organization (WHO) that declared COVID-19 a pandemic. The approvals of USD 857 billion stimulus package by the European Union (EU) and Pfizer vaccine by Food and Drug Administration (FDA) in USA received slight positive reactions. The Greek, Singaporean and Taiwanese shipping stocks were the least affected stocks as their respective shipping industries remained resilient during 2020.

This study provides evidence to confirm the fact that COVID-19 has affected stock markets; however the impact is un parallel among cargo shipping stocks of different countries.

The majority of studies have conducted country level analyses of the COVID-19 and stock market performance phenomenon. However, there have been sectoral disparities in terms of their susceptibility to economic shocks from COVID-19. This study's focal point is on the cargo shipping sector which synonymous with other sectors has not been immune to the current pandemic. The study also extends the timeline of events to incorporate those from June to December 2020.

This paper seeks to provide new solutions to cargo companies’ service quality efforts by integrating different scientific methodologies.

Strengths and weaknesses of logistics services of a well known cargo company in Turkey are defined by using a service quality scale (SERVQUAL), service quality attributes are categorized using the Kano model in order to see how well these attributes are able to satisfy customer needs, and findings are transferred to quality function deployment (QFD).

The findings of the Kano model show that ten of the 27 service quality attributes can be categorized as “attractive”, implying the maximum effect on consumer satisfaction. Through the customer priority level of QFD, the three most important service quality attributes are found to be: VIP Service, informing customers about delivery time before sending, and taking deliveries from customers’ addresses. Also, strengthening information technology infrastructure is the most important technical requirement to focus with the highest technical importance level.

The study involves only one cargo company, it concerns just Trabzon city center branch offices and its sample includes only individual customers instead of individual and institutional customers together.

Offering a case study, the paper presents a guide for cargo companies to employ different scientific methodologies in their service quality development efforts.

Intending to offer scientific approaches to cargo companies as a tool of development in their practical procedures, the paper tries to bridge the current gap between academicians and practitioners and adds to the relatively limited theoretical literature.

The learning outcomes of this case study are to understand the business model canvas and value propositions and apply advanced business innovation tools in electric vehicle business models; evaluate the current cargo vehicle scenarios at national and global levels and draw out the possibilities and costs for a new player; extrapolate the future scenario of the cargo economy, its electrification and positioning in a business-to-business (B2B) and business-to-customer (B2C) segment, especially for a developing economy; and improve the student’s ability to get organisational buy-in and execute new business models.

LoadExx is a fully electrified electric cargo service focusing on logistics in Kolkata, a metropolitan city in the eastern part of the country. The service of LoadExx commenced in January 2021 in the B2B segment after overcoming its then issues of driver hesitancy and customer anxiety and financial issues to adopt electrified cargo systems. The conundrum faced by LoadExx in its commencement thus had been solved under the able guidance of its owner Amit Arora. The case study was positioned four months after the commencement of LoadExx. To gain market power and traction, Arora and his team came up with the idea of market expansion. However, the current conundrum was whether LoadExx would enter the B2C segment in its current location or expand with the same business model to other parts of the country. The expansion was to be implemented in the immediate future to retain its rarity and reduce the imitability of the business model of LoadExx. This case study details the logistics and market operations of the cargo sector, especially electric cargo, in a developing economy, especially India. A teaching note supplementing the “Cracking the conundrum of e-cargo logistics: curious case of LoadExx” case study has been provided.

This case study is designed for undergraduate and postgraduate students and senior management professionals in executive education programmes undertaking courses in logistics management and supply chain operations and related cargo logistics courses. This case study denotes integrating key processes from end-users and gaining the trust of drivers, thereby showing the perspective of the plight and conundrums of a cargo aggregator working in the B2C segment. This case study could be used to discuss concepts related to not-for-profit firms, aggregators, policymakers and think tanks.

Teaching notes are available for educators only.

CSS 9: Operations and logistics.

This paper aims to analyse available multimodal transport route variations for iron ore shipments from northwest Australia to northeast China, focusing on a major iron and steel manufacturer.

The research is focused on a case study and uses an established cost model as a framework, for the first time, in the context of heavy bulk cargo shipments. Field interviews and a questionnaire form the principal methods of primary data collection. The characteristics of bulk iron ore transport flow are analysed against traditional criteria and an appraisal of the transport infrastructure in north east China is made, considering both road and rail options, and various possible combinations for transport being evaluated. All factors affecting modal choice in the region are examined, including cargo volume, weight, and value, transport distance, transit time, transport costs and schedule reliability.

The volumes of iron ore moved are large, with a high weight‐to‐volume ratio, and shipments are regular. The research initially confirms that sea and rail transport combinations are the most appropriate for the movement of iron ore. However, where rail transport corridors are congested, provided that the transport distances are not too great, road haulage appears to be an effective substitute and the most competitive multimodal transport route, at least in the short to medium term, is found to be a rail‐sea‐road combination via Port Bayuquan in China.

The research focuses on the delivery of iron ore to one major steel manufacturer in northeast China; so findings may not be transferable to other companies or circumstances.

The paper first demonstrates that, for heavy, high volume cargoes concentration of flows on to one corridor, perhaps under the control of one service provider, maximises scale economies, but works against competition and route/mode choice. Second, it demonstrates that, for long haul shipments of iron ore, port variations and modal differences for inland transport yield only marginal differences in overall logistics costs.

An assessment of high volume/heavy/low value cargoes such as iron ore has not previously been undertaken using this cost model. This paper therefore provides an original analysis of such supply chains.

“Cargo tariffs are agreed through the IATA machinery, and in theory approved by governments….the IATA Tarff Coordination Conferences still agree cargo tariffs on over 200,000 separate routes. But these tariffs bear little relevance to what is actually charged in the marketplace.” (Doganis, 2002)

“The stipulations ICAO standards contain never supersede the primacy of national regulatory requirements. It is always the local, national regulations which are enforced in, and by, sovereign states, and which must be legally adhered to by air operators making use of applicable airspace and airports……ICAO is therefore not an international aviation regulator, just as INTERPOL is not an international police force. We cannot arbitrarily close or restrict a country's airspace, shut down routes, or condemn airports or airlines for poor safety performance or customer service. Should a country transgress a given international standard adopted through our organization, ICAO's function in such circumstances…….is to help countries conduct any discussions, condemnations, sanctions, etc., they may wish to pursue, consistent with the Chicago Convention and the Articles and Annexes it contains under international law.” (ICAO, 2021)

In spite of being a growing liberalized global industry served by many firms, much of the international air cargo sector operated as an admitted cartel from 1999 through 2006. Partly due to the way the cartel was discovered, it seems very little empirical analysis to date has been done about the case. We use publicly available airline data to examine whether a diligent antitrust authority could have identified cartel/collusive behavior using established empirical methods. Our findings point to a regulatory failure in an industry whose long-standing business practices effectively “slipped through the cracks,” failing to protect the many shippers of air cargo.