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This thesis examines the effects that containerisation had on the growth in world trade between the years 1962 and 1990. Containerisation is a technological change that arises from shipping goods via containers rather than through the traditional break-bulk method which characterised international shipping since antiquity. This thesis makes many contributions to the literature. This is the first quantitative and econometric study into the effects of containerisation in economics. We collect data from a specialist business publication and construct container variables which are used for the first time in economics. We also use a scientific classification from 1968 to classify products as containerisable or non-containerisable. Another contribution is that the econometric models employed in this thesis allow for a "horse race" between the technology variable and the policy variables: free trade agreements, General Agreement on Tariffs and Trade membership and currency unions. We make use of the cross-sectional and time series variation available to us in the adoption of the technology across 157 countries to identify the effects of containerisation on world trade. We employ several specifications and try different trade flow dimensions to pin down the right way to model containerisation. In doing so, we deal with several econometric problems that arise in similar econometric studies such as omitted variable bias and endogeneity bias. The effects of containerisation are felt 10 to 15 years after bilateral adoption of the technology. We estimate that containerisation led to an increase of 380% in North-North containerisable trade 10 to 15 years later. We find no evidence for endogeneity in this specification and we can be confident to make a causal statement. We also find evidence that containerisation affected North-South trade the most, followed by North-North and then South-South containerisable trade although we cannot be as confident about making causal statements in the case of North-South and South-South trade. The evidence is however suggestive of strong effects on containerisable trade in the two subsamples. In all cases, the effects of containerisable are found to be multiple times the size of the effects of the individual policy variables - 2 to 10 times as large depending on the subsample and the variable in question.

This research evaluates the impact of automated and semi-automated devices on the process of loading, discharging, stacking and un-stacking of containers using Quayside Cranes (QSCs), Straddle Carriers (SCs), Rubber Tyred Gantry cranes (RTGs) and Rail Mounted Gantry cranes (RMGs) in container terminals. The emphasis of study is on the assessment of performance and cost effectiveness of the existing automated quayside and yard cranes. The study in this thesis examines the economic implications of reducing QSCs' cycle-times brought about by automatic features installed on the post-Panamax cranes. It demonstrates that a considerable increase in the productivity of QSCs is related directly or indirectly to an expected reduction of crane cycle-times. The concept offered by the proposed improvements distinguishes between the traditional system of loading and discharging of containers and the automated methods. It implies that automation devices installed on conventional QSCs significantly reduce the total turnaroundtime and hence the cost of containerships' waiting-times. It argues, however, that there should be a balance between the cost of containerships' waiting-times and the cost of automated berths' unproductive-times (idle-times). This study uses the elements of queuing theories and proposes a novel break-even method for calculating such a balance. The number of container Ground Slots (GSs) and the annual throughput of container terminals expressed in Twenty-foot Equivalent Units (TEUs) have been used as the efficiency and performance measure for many years. The study in this thesis introduces appropriate container yard design layouts and provides a generic model for calculating the annual throughput for container terminals using semiautomated SC and RTG and automated and semi-automated RMG operating systems. The throughput model proposed in this study incorporates the dynamic nature, size, type and capacity of the automated container yard operating systems and the average dwell-times, transhipment ratio, accessibility and stacking height of the containers as the salient factors in determining a container terminal throughput. Further, this thesis analyses the concept of cost functions for container yard operating systems proposed. It develops a generic cost-based model that provides the basis for a pair-wise comparison, analysis and evaluation of the economic efficiency and effectiveness of automated and semi-automated container yard stacking cranes and helps to make rational decisions. This study proposes a Multiple Attribute Decision-Making (MADM) method for evaluating and selecting the best container yard operating system amongst alternatives by examining the most important operating criteria involved. The MADM method proposed enables a decision-maker to study complex problems and allows consideration of qualitative and qualitative attributes that are heterogeneous in nature. An Analytical Hierarchy Process (AHP) technique has been employed as a weighting method to solve the MADM problem. The AHP allows for the decomposition of decision problem into a hierarchical order and enables a pair-wise comparison of the attributes and alternatives. The results of the AHP analysis provide the basis for a pair-wise comparison, judgement and selection of the best automated or semi-automated container yard operating system.

Organisations today operate in a complex, unpredictable, globalised, and competitive business environment and challenging marketplace, emphasis on just-in-time deliveries and service quality through the integration of resources. In response to the changing business dynamics, web-based EDI (WEDI) has been adopted by the global container shipping industry to cost-effectively utilise available resources to build and remain its competitive advantage. To improve the current understanding of WEDI adoption factors, this research explores inter-organisational collaboration of WEDI adoption, focusing on the organisational adoption stage and examine how business level social and relational factors influence WEDI adoption in the context of the container liner shipping industry. Based on theoretical and literature reviews on previous EDI adoption, in particular to three key inter-organisational system adoption empirical research (including Lee and Lim, 2005; Boonstra and de Vries, 2005; Zhu et al., 2006), an integrated research model was established of which features ‘Social Resources' of (trading partner power, trading partner dependence and social network effect), ‘Relational Resources' of (trading partner trust, top management commitment and guanxi, ‘Reward' of (perceived interests), and ‘Technological State' of (technological trust and e-readiness) as prominent antecedents. Through E-mail and Web Survey approach, we examine the nine independent constructs in the research model quantitatively on a dataset of 164 respondents from the top 20 leading container shipping liner in year 2009 and 195 respondents of the top 20 leading container shipping liner in 2012 by 3 case studies through online surveys. After examining its reliability, validity and correlation of the constructs, PLS structural Equation Modelling was applied to test hypotheses. The empirical results update how firms exchange business dada, in particular to the use of WEDI in the industry. This study demonstrated that ‘Social Resources' of trading partner power, trust and guanxi, positively associated with the perceived interest of WEDI adoption. Relational Resources' of trading partner trust, top management commitment and guanxi positively associated with the perceived interest of WEDI adoption. It also confirms the nine constructs to be positively association the WEDI adoption decisions. Drawing upon social exchange theory, we argue that firms simultaneously modify and adjust their social and relational resources to affect other firms' expected benefit as a reward. Overall, based on a rigorous empirical analysis of two different international dataset, this research provides valuable and the most updated insights into a set of key factors that influence WEDI adoption. By recognising what may influence WEDI adoption in the context of the container liner shipping, this study will be useful in suggesting strategies to overcome the constraints that inhibit adoption. Researchers will benefit from the study's theoretical insights and explore further WEDI adoption and diffusion patterns. Practitioners who learn why organisations adopt WEDI and what the related factors are that influence the adoption process will make better strategic decisions concerning the adoption of WEDI.