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The purpose of this paper is to provide a theoretical conceptualization of how data envelopment analysis (DEA) can be applied to rail freight rolling stock in order to develop a tariff for track access charges which is functionally dependent upon the derived relative benchmark values of performance.

It is posited that track access charges should be differentiated to reflect differences in the performance of rolling stock and that this can be achieved purely on the basis of technical and other characteristics. The performance benchmarking of rolling stock is proposed as the basis for formulating and justifying a performance-based tariff structure. Using DEA, relative index measures of rolling stock performance can be derived, benchmark performance can be identified and a tariff structure can be developed.

A workable approach to implementing the concept, utilizing existing in-house databases, is found to be feasible and a template for tariff setting is established.

In the absence of access to in-house technical data on rolling stock, which is commercially sensitive, no empirical application of the concept is possible.

There are many ways to improve the efficiency of a railway system. Many are inherently long term and involve significant investment. Using Sweden as an example, this paper proposes the more immediate, simpler and cheaper approach of incentivising the use of better rolling stock through appropriate track access charging. Such an approach should reduce the number of problems arising on the rail network and the costs imposed on other rail users, the infrastructure providers and society. Ultimately, the implementation of this approach would support the objective of increasing long-term robustness and reducing disruptions to railways.

The purpose of this paper is to identify and classify the various initiatives developed and implemented across the globe for the abatement of maritime air emissions.

In this paper, an extensive survey of various sources was conducted, including the official reports of international and regional institutions, government policy documents, port authority websites, classification society pages, private firms’ sites and the academic literature. The initiatives were then categorized in accordance with the classification of the Swedish Environmental Protection Agency and analyzed using the SPSS Statistics software to give some insight into their frequencies and the interrelationships between them.

This exploratory review resulted in the establishment of a comprehensive global database of initiatives encouraged by the whole range of shipping stakeholders and decision-makers for the reduction of shipping air emissions. According to the findings, economic incentives that provide motivation for the adoption of less environmentally damaging practices are the most commonly used initiative, followed by infrastructure investments and informative policies.

The results provide implications for further research that include an in-depth analysis of ports’ policies, as well as an evaluation of initiatives applied on a large scale to map their emissions reduction potential for shipping.

The main contribution of this paper is the identification and analysis of all the diverse initiatives implemented globally in a comprehensive way and its dealing with air pollution from shipping as a whole.

For the case of Sweden, this paper aims to determine how a range of different infrastructure fees and taxes influences modal split, port throughputs, air emissions, societal costs of greenhouse gas (GHG) emissions and air pollution, as well as logistics costs.

The Swedish national freight model is used to simulate a range of different proposed infrastructure fees, one by one and in combination. The volume of emissions of CO₂-equivalents, NOx, SOx and PM under the different scenarios is calculated in both volume and monetary terms, by applying national emission factors and EU values for external costs.

Road user fees are calculated to have the largest impact on the modal split, GHG emissions and air pollution. The impact increases slightly when road user fees are combined with higher fees for sea and rail and/or gate fees in all Swedish ports. The imposition of gate fees over €30 per truck in all ports leads to shifts in cargo to land-based modes and to ports outside Sweden. The logistics costs in Sweden are found to be three to ten times higher than the benefits of reduced GHG emissions and air pollution, although other benefits to society need to be considered as well.

Methods which attempt to evaluate alternative approaches to the internalisation of the external costs caused by transport need to be further developed. In particular, they need to encompass a more holistic perspective on “benefits to society”, other than merely reductions in GHG emissions and air pollution. To facilitate international acceptance and adoption, such methods require agreements to be reached on common definitions and routines.

The results can be used as basis for policy-making. They illustrate the environmental impacts of the fees and taxes one by one and in combination and to what extent these reinforce each other and should be co-ordinated.

The outcomes are relevant to national and international policymakers and authorities, as well as port authorities, shippers and transport companies who need to determine unilateral strategies on how to reduce GHG emissions and air pollution, without undermining their wider business objectives.

The approach is original in facilitating the testing of policies which impact on the transport system and the environment across different dimensions. The work has additional value in informing policy because of its use of Sweden’s national freight transport model.

This paper examines the comparative corporate performance of logistics companies in Korea, China and Japan. Based on the annual data from the listed companies, the growth rate of Chinese companies has surpassed that of Korean and Japanese companies and has labeled China as the fastest growing economy. How ever, labor efficiency of Chinese firms when calculated by total revenue per employee is the lowest of the three countries. In addition, the profitability of Chinese multimodal logistics companies and sea transport companies is also lower than that of Korea and Japan.

Using Data Envelop Analysis(DEA), the primary results regarding corporate efficiency among Korean, Chinese and Japanese logistic companies are as follows: In the multimodal industries, Japanese firms have revealed the highest level of efficiency, with Korean firms coming in second, and Chinese firms ranking third with distinctly inferior performance. This trend has also been examined in the maritime industries, in which the efficiency levels have been deteriorating continuously. However, in the air transportation industry Chinese companies revealed the highest level of efficiency, which resulted from the business characteristics of the government supported conglomerate companies.

This paper examines the relationship between transport connectivity and regional economic development in China. It develops measurements appropriate for transport connectivity based on a set of evaluation models. This model is used to analyze the logistic connectivity of China’s 31 provinces by focusing on 11 variables, including some new factors (Density of road network, Density of railway network, Number of Internet Users) not used in previous studies, over the 13-year period from 2002 to 2014. Using panel data regression analysis, the empirical results show a statistically significant and positive impact of transport connectivity (factors like Density of road network, Density of railway network and Number of Internet Users) on economic development in China. In particular, the Number of internet users is a key factor reflecting information connectivity in all the variables. Comparative analysis regarding economic development is conducted to benchmark between coastal provinces and interior provinces. Like most previous research, this study yields the same finding of higher impact of transport connectivity on economic development in eastern provinces than in western provinces. This study suggests that decentralized decision-making will be significantly more efficient for analyzing regional infrastructure development. It also shows that the influence of transport connectivity on economic development is dependent on a certain developmental stage. This suggests that an economic region should adopt different development strategies for transport connectivity during different stages of development.

The purpose of this paper is to evaluate the functioning of the main Spanish and Portuguese containers ports to observe if they are operating below their production capabilities.

To achieve the above-mentioned objective, one possible method is to calculate the data envelopment analysis (DEA) efficiency, and the scale efficiency (SE) of targets, and in order to consider the variability across different samples, a bootstrap scheme has been applied.

The results showed that the DEA bootstrap-based approach can not only select a suitable unit which accords with a port’s actual input capabilities, but also provides a more accurate result. The bootstrapped results indicate that all ports do not need to develop future investments to expand port infrastructure.

The proposed DEA bootstrap-based approach provides useful implications in the robust measurement of port efficiency considering different samples. The study proves the usefulness of this approach as a decision-making tool in port efficiency.

This study is one of the first studies to apply bootstrap to measure port efficiency under the background of the Spain and Portugal case. In the first stage, two models of DEA have been used to obtain the pure technical, and the technical and SE, and both the input-oriented options: constant return scale and variable return scale. In the second stage, the bootstrap method has been applied in order to determine efficiency rankings of Iberian Peninsula container ports taking into consideration different samples. Confidence interval estimates of efficiency for each port are reported. This paper provides useful insights into the application of a DEA bootstrap-based approach as a modeling tool to aid decision making in measuring port efficiency.

This monograph contains abstracts from the 2005 Employment Research Unit Annual Conference Cardiff Business School, Cardiff University, 6‐7th September 2005

There have been increasing calls to explore the psychological contract from the lens of power. By addressing this gap, the purpose of this paper is to investigate the assumption of mutuality in relation to power dynamics in the employment relationship.

A total of 43 in-depth interviews are conducted with 6 managerial and 37 non-managerial respondents in three major call center organizations in Pakistan. Template analysis is used to analyze the data.

By undermining the assumption of implicit mutuality, the analysis reveals indeterminacy, an issue that has been frequently underplayed in the psychological contract research. The results further suggest that – in reality – employability, flexibility and employee training do not promote mutuality to the extent that is theoretically assumed because of the employers’ manipulation of these issues in their own favor.

The focus on call centers limits the generality of findings with further qualitative research needed in other industries to explore how power asymmetries impact upon mutuality in different working environments.

The research implications suggest the significance of timely and explicit communication in order to curtail indeterminacy in the employment relationship. This will not only reduce the development of breach perceptions among employees but will also reinforce their psychological contracts with the organization.

This research contributes by highlighting the significance of mutual dependence rather than mutuality in the psychological contract. The mutual dependence approach efficiently acknowledges the implications of power asymmetries which remain largely under-researched in the psychological contract theory.

This paper investigates the performance assessment of liner shipping industry and presents a multi-dimensional evaluation framework to ensure both financial and non-financial monitoring. The traditional performance assessment approach is based on the financial indicators such as ratio analysis, but it is limited to the fiscal perspective. The meaning of performance has dramatically changed and non-financial (and intangible) assets increased their importance in recent years. Under these circumstances, the multi-attribute performance assessment methods play a critical role to combine many aspects of the business. Balanced Scorecard (BSC) is originally developed for the multi-attribute performance assessment and its philosophy on business process evaluation pioneered the importance of key performance indicators and the quality management issues including the internal customer. Service quality and the business performance assessment are some of the hot issues in the liner shipping industry and the long term competitiveness is a critical concern in the recent liner shipping business. The BSC method is utilized to ensure a cumulative analysis of the short/long and tangible/intangible indicators of performance and computes the weight of each criterion by using Fuzzy-AHP method in the liner shipping industry.

This paper empirically examines the implementation pattern of different types of lean management (LM) techniques on the shop-floor. Based on the socio-technical systems framework, LM techniques are classified as social improvement tools and technical process standardization and stability practices. This categorization facilitates investigating their implementation relationship in a complex production system.

Based on the survey data from managers of the three major US auto-manufacturers and their suppliers (n = 137), measurement scales are developed using confirmatory factor analysis for the LM process improvement, stability, and standardization constructs. Hypotheses are tested by applying the Sobel test technique for mediating regression.

Statistical results confirm the mediation role of LM improvement tools between standardization and stability goal practices, indicating that technical process-oriented practices are not directly related and that their association is impacted by the corresponding implementation of social tools on the shop-floor.

The results indicate that LM practices should not be randomly implemented on the shop-floor but rather adopted and executed based on a systematic pattern. In LM systems, the implementation of process stability, standardization, and improvement practices on the shop-floor are more tightly integrated than traditionally assumed.

This study establishes a new categorization of specific LM tools based on social and technical characteristics. The conclusions highlight the importance of adopting a social emphasize of continuous improvement to establish a technical focus of process standardization and stability for LM implementation success.