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To assess the introduction and performance of light electric freight vehicles (LEFVs), more specifically cargo cycles in major 3PL organizations in at least two Nordic countries.

Case studies. Interviews. Company data on performance before as well as after the introduction. Study of differing business models as well as operational setups.

The results from the studied cases show that LEFVs can compete with conventional vans in last mile delivery operations of e-commerce parcels. We account for when this might be the case, during which circumstances and why.

Inherent limitations of the case study approach, specifically on generalization. Future research to include more public–private partnership and multi-actor approach for scalability.

Adding to knowledge on the public sector facilitation necessary to succeed with implementation and identifying cases in which LEFVs might offer efficiency gains over more traditional delivery vehicles.

One novelty is the access to detailed data from before the implementation of new vehicles and the data after the implementation. A fair comparison is made possible by the operational structure, area of delivery, number of customers, customer density, type of packages, and to some extent, the number of packages being quite similar. Additionally, we provide data showing how city hubs can allow cargo cycles to work synergistically with delivery vans. This is valuable information for organizations thinking of trying LEFVs in operations as well as municipalities/local authorities that are interested.

The purpose of the present study is to examine the general and travel-specific job exhaustion of international business travelers (IBTs). The study employs a JD-R model to explain general and travel-specific job exhaustion (IBTExh) through international business travel as demand and leadership (LMX) as a resource buffering the demands of international business travel.

The study was conducted among Finnish service company employees who had taken at least one international business trip during the previous year. The data (N = 569), collected in 2015, were analyzed with path models.

The results suggest that a higher number of international business travel days is related to a higher level of job exhaustion, especially the exhaustion related to international business travel. Moreover, a high-quality LMX was found to be linked to lower levels of both types of exhaustion. Interestingly, for those IBTs' with a low-quality LMX, even a high number of long-haul international business travel days was not connected with IBTExh

The contribution of our study is threefold. First, this study contributes to JD-R theory and the ill-health process by focusing on a job-specific well-being indicator, IBTExh, in addition to general exhaustion. Second, specific job demands related to international business travel, particularly the duration of business travel spent in short-haul and long-haul destinations, contributes to the literature on global mobility. This study sheds light on the potential effects on IBTs of different types of business travel. Third, our study contributes to the leadership literature and the importance of acknowledging the context in which LMX occurs.

Lessons are drawn from the experience of the logistics hub at Amsterdam's Schiphol Airport for Korea s Inc he on International Airport. After providing an overview of the air cargo market the key factors underpinning the success of air cargo hubs are outlined. Examples are provided of Schiphol's multi-level strategy that aims at being simultaneously an air transport hub, a multimodal hub, and a logistics hub as a part of the airport city strategy. Consideration needs to be given to how the successful development of an air transport hub depends on the capacity problems at other competing air traffic nodes in the region. With this background, interest is centered upon the prospects of the Incheon International Airport becoming a cargo hub for Japan.

One of the distinctive features in Korea and the U.S. trucking industries is the huge difference in the share of owner-operators. While it is around 10~15 percent in the U.S., 80~90% of drivers operate their own truck in Korea. Different from historical explanations of previous researches, this paper deals with this feature theoretically. We examine what brings the difference in asset ownership structures between the Korean and the U.S. trucking industries. Using an analytic framework, we investigate the determinants of truck ownership and the changes in ownership patterns. The model introduces several parameters related to productivities of drivers’ efforts and contractibility to affect drivers’ decision, and values of these parameters in both countries are discussed qualitatively and found to be consistent with the aforementioned characteristics.

Digital freight forwarder (DFF) start-ups and their associated business models have gained increasing attention within both academia and industry. However, there is a lack of empirical research investigating the differences between DFFs and traditional freight forwarders (TFF) and the impact of digital start-ups on incumbents' companies. In response, this study aims to examine the key business model characteristics that determine DFFs and TFFs and propose a framework illustrating the extent to which digital logistics start-ups influence incumbent logistics companies.

Based on the primary data gathered from eight interviews with experts from start-ups' and incumbents' logistics companies, as well as secondary data, the authors identify the main factors of DFFs start-ups that have an impact on TFFs and analyze the similarities and differences in regard to the business model components' value proposition, value creation, value delivery and value capture.

The results show that differences between DFFs and TFFs appear in all four business models' components: value proposition, value creation, value delivery and value capture. In particular, the authors identify three main factors that need to be considered when assessing the impact of DFFs on TFFs: (1) the company size, (2) the market cultivation strategy and (3) the transport mode.

This is one of the first studies to specifically examine the key business model differences between DFFs and TFFs and to propose a conceptual framework for understanding the impact of digital logistics start-ups on incumbent companies.

Despite large bodies of research related to the impacts of e-commerce on last-mile logistics and sustainability, there has been limited effort to evaluate urban freight using an equity lens. Therefore, this study proposes a modeling framework that enables researchers and planners to estimate the baseline equity performance of a major e-commerce platform and evaluate equity impacts of possible urban freight management strategies. The study also analyzes the sensitivity of various operational decisions to mitigate bias in the analysis.

The model adapts empirical methodologies from activity-based modeling, transport equity evaluation, and residential freight trip generation (RFTG) to estimate person- and household-level delivery demand and cargo van traffic exposure in 41 U.S. Metropolitan Statistical Areas (MSAs).

Evaluating 12 measurements across varying population segments and spatial units, the study finds robust evidence for racial and socio-economic inequities in last-mile delivery for low-income and, especially, populations of color (POC). By the most conservative measurement, POC are exposed to roughly 35% more cargo van traffic than white populations on average, despite ordering less than half as many packages. The study explores the model’s utility by evaluating a simple scenario that finds marginal equity gains for urban freight management strategies that prioritize line-haul efficiency improvements over those improving intra-neighborhood circulations.

Presents a first effort in building a modeling framework for more equitable decision-making in last-mile delivery operations and broader city planning.

This study revisits the Great Canadian Grain Logistics Crisis of 2013-14 to explore the competitiveness of the country's grain exports. An approach to comprehending the dilemmas of the international grain supply chain and trade, and national logistics policy in an era of multinational corporations, draws upon the literature on global value chain analysis. This analysis identifies both the grain industry's global and local dimensions. An important literature on the 'politics’ of the supply chain is also called into play to discuss who controls what aspects. This task of interpreting the various steps in Canada's grain logistics chain recognizes the key economic actors - producers, grain companies, railway companies, port terminal operators and export buyers - and political struggles between them as they each seek to maximize their self-interest. Policy implications for streamlining logistics operations are drawn from identifying where changes in the supply chain arrangements have gained or lost opportunities in export markets, particularly in the Asia-Pacific region.

The purpose of this paper is to investigate empirically how information and communication technologies (ICT) can contribute to reduction of CO₂ emissions in road freight transport and to identify opportunities for further improvements.

This research adopts a multiple case study approach with three leading UK grocery retailers as exemplars of fast-moving consumer goods retailers, conducted using multiple data collection techniques including interviews, system demonstrations, onsite observations and the use of archive information.

ICT solutions have a direct positive impact on CO₂ emissions reduction but opportunities to further reduce CO₂ emissions are perceived as lying beyond retailers’ own distribution networks. These opportunities are not fully utilised due to the complexities of collaborative ICT provisions and retailers’ reluctance to share information with competitors.

A limitation of the study is that it is exploratory and only three cases were examined. Even though these three retailers represent over 60 per cent of the UK grocery retail sector, other retailers may deploy significantly different ICT applications.

The research provides an overarching insight for businesses on how to leverage the existing and emerging information technologies for environmental and economic benefits.

While sustainability issues have received increasing attention recently, the role of ICT in freight transport for CO₂ emissions reduction has not been investigated in depth and its impact is largely unknown. This research advances understanding about how ICT contributes CO₂ emissions reductions and provides a framework for further investigation.

Outsourcing of logistics has great importance in disaster relief. Aid agencies spend several billion US dollars every year on logistics services. However, the concept of outsourcing has not been established adequately in literature on humanitarian logistics, leading to a fragmented view of the practice. This paper provides a holistic perspective of the concept by constructing a conceptual framework to analyze both practice and research of outsourcing in humanitarian operations. Based on this analysis, we explore future trends and identify research gaps.

The paper is based on a structured review of academic literature, a two-round Delphi study with 31 experts from aid agencies and a complementary full-day focus group with twelve experts from aid agencies and logistics service providers.

The paper systemizes the current practice of outsourcing in humanitarian logistics according to a conceptual framework of five dimensions: subject, object, partner, design and context. In addition, it reveals ten probable developments of the practice over the next years. Finally, it describes eight important research gaps and presents a research agenda for the field.

The literature review considered peer-reviewed academic papers. Practitioner papers could provide additional insights into the practice. Moreover, the Delphi study focused on the perspective of aid agencies. Capturing the views of logistics service providers in more detail would be a valuable addition.

The paper establishes the academic basis for the important practice of outsourcing in humanitarian logistics. It highlights essential research gaps and, thereby, opens up the field for future research.

Since airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.

This study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.

The empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).

Although some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.