Whilst container shipping has become increasingly important over the past few decades due to its obvious advantages, container shipping companies have faced various risks from different sources in their operations. Systematic academic studies on this topic are few; and in light of this, this study aims to systematically explore and analyse the risks in container shipping operations and to examine the applicable risk mitigation strategies in a logistics perspective, including information flow, physical flow, and payment flow. This thesis uses Taiwan container shipping industry as a case study, and borrows four steps of risk management as the main method, which includes risk identification, risk analysis, risk mitigation strategies identification, and strategies evaluation. In order to ensure the analysis is inclusive and systematic, risk factors and risk mitigation strategies are identified through a related literature review and are validated through a set of interviews. Risk analysis is conducted through using questionnaires, and then through risk ranking, risk matrix, risk mapping, and P-I graph. Risk mitigation strategies are evaluated through classic AHP and fuzzy AHP analysis. A number of significant findings have been obtained. Firstly, 35 risk factors are identified and classified into three categories: risks associated with information flow, risks associated with physical flow, and risks associated with payment flow. After collecting and analysing the risk-factor survey, the results indicate that the risk associated with physical flow has the more significant impact on shipping companies’ operation. However, one risk factor associated with information flow, “shippers hiding cargo information”, has the most significant impact among the 35 risk factors. Secondly, 20 risk mitigation strategies are identified and classified into three categories: intra-organisational strategies, intra-channel strategies, and inter-channel strategies. After collecting the AHP survey and analysing through classic AHP and fuzzy AHP, the result indicates that “slot exchange, slot charter, joint fleet, ship charter with other container shipping companies” is the most important strategy. The main contributions of this thesis include: (1) based on the literature review, there have been no research on risk management in the context of container shipping operation from a broad logistics perspective, and this thesis is the first attempt to fill this research gap; (2) this thesis uses Taiwan shipping industry as a case study to apply the framework, which generates useful managerial insights; (3) the conceptual model of risk management developed in this thesis can be applied to container shipping operations in other countries and regions; (4) compared with several studies using secondary data, this thesis uses empirical data to conduct the risk analysis, and make the results more close to the reality situation in container shipping; (5) in terms of risk analysis, this thesis ranks the total 35 risk factors rather than only identify the most important one, this can be used to be generalised to the whole container shipping companies in Taiwan, or even to the whole world; (6) in terms of risk management, the previous studies usually analyse only the importance of strategies. However, this thesis analyses the results of AHP from three different angles: reducing financial loss, reducing reputation loss, and reducing safety and security incident related loss. This can provide different angles for the managers who are considering different aspects.

Fire in buildings can have a severe impact in terms of both human safety and potential economic loss. This is especially true in the case of fires of such severity that the building structure is damaged. Concrete buildings are traditionally regarded as safe in a fire situation as concrete is non-flammable and exhibits highly insulating material properties. The majority of current research relating to the impact of fire on structures examines other forms of construction. Research of concrete in fire is generally limited to investigation and testing of individual members in order to understand the often complex interactions exhibited by concrete as a material at high temperatures. This research seeks to redress the balance by using a systematic approach to examine effects of fire on a holistic concrete structure in simplified but realistic temperature exposures. The research utilises evidence and structural information from the Windsor Tower in Madrid, which suffered a major fire in February 2005 with partial collapse in some areas of the structure. The fire spread throughout the building, travelling both upwards and downwards. Computer modelling was used extensively. Computational Fluid Dynamics (CFD) analysis was used to explore likely fire temperature and duration in localised areas. Structural Finite Element Modelling (FEM) was used to develop a hierarchy of models, beginning with simple structural forms and progressing logically to more detailed structures. This produced a systematic and comprehensive analysis of the reaction of the structure to fire for comparison to the real, observable damage to the building and assessment of generic failure behaviours. The structural model produced was used with a number of variations in support condition, fire spread rate and extent, and fire protection. It was found that for a structure of this type, structural stiffness of the concrete floors was insufficient to compensate for the loss of strength in heated steel members where there was no alternative load redistribution path. It was also found that in the case where an alternative load path exists, but involves steel members which have previously heated during the multiple-floor spread of the fire, the rate of fire spread has a critical effect on the structural stability.

Since 1999 UK employment programmes (known as welfare-to-work programmes) have been delivered through the procurement of services from organisations outside of the public sector. Managed by contractual arrangements and arranged in a quasi-market system controlled by the state, private and third sector organisations compete to secure contracts predominantly based on payment-by-results and competitive tendering processes. This thesis used an instrumental case study to analyse the impact of the welfare-to-work quasi-market on a third sector organisation based in Scotland. Using a qualitative mixed-methods research strategy including 20 in-depth interviews, 150 documents, an ethnographic study and financial analysis of the organisation’s accounts, the thesis presents an in-depth insight into the development of the welfare-to-work market and its changes over time and the impact this had on instigating organisational change in a third sector organisation. Drawing on transaction cost theory, neoinstitutional theory and resource dependency theory the study found that activities, structure, and management processes changed in line with changes in its organisational field in order to attract and maintain resources and gain legitimacy. Furthermore, the organisation under investigation faced financial management tensions as it sought to balance its involvement in service delivery with transaction costs associated with market participation. The thesis found that the dependence on resources from complex quasi-markets relations creates new power asymmetries between delivery organisations and the state.

This thesis contrasts the equine policy networks and organisational landscapes of the horse industry in England, Sweden and the Netherlands. In order to analyse each network the conceptual framework offered by the Marsh-Rhodes policy network typology is adopted, while the dimensions of membership, integration, resources and power are specifically considered. The origins and development of each policy network studied are analysed, along with an appraisal of their inherent characteristics. The cultivation and maintenance of consistency, communication and collaboration within a diverse policy network are examined. In addition, the influence of a diverse policy network on policy decision making is explored. The importance of relationships between key individuals within policy networks is analysed, along with the significance of the micro and macro levels of the networks. Finally, the future development of the equine policy network and horse industry in England for the benefit of interest groups and the government is considered. Within each policy network a specific organisation which acted as the mouthpiece for interest groups within the network to the government was identified. However, the structure of each of these bodies and their mode of operation differed considerably between countries. In Sweden and the Netherlands, the connection between the equine and agricultural policy networks was shown to be significant in the development of the relationship between interest groups within the horse industry and the government. In both countries an organisation from the agricultural sector expedited the development of this relationship. The level of government intervention and financial support afforded to each horse industry varied. Significant differences in key sub-sectors of each of the policy networks studied, specifically sport and recreation, and breeding, were identified, while recent developments in the European-wide equine policy network were also examined.

This paper aims at exploring and discussing the possibilities of applying qualitative content analysis as a (text) interpretation method in case study research. First, case study research as a research strategy within qualitative social research is briefly presented. Then, a basic introduction to (qualitative) content analysis as an interpretation method for qualitative interviews and other data material is given. Finally the use of qualitative content analysis for developing case studies is examined and evaluated. The author argues in favor of both case study research as a research strategy and qualitative content analysis as a method of examination of data material and seeks to encourage the integration of qualitative content analysis into the data analysis in case study research.

This study aims to describe how researchers may incorporate four different generalisation methods (working hypothesis, analytic generalisation, critical case and naturalistic generalisation) to aid them in properly generaliseing from case study results. It was found that critical cases can be used in combination with working hypothesis to determine the falsifiability of the hypotheses. Working hypothesis and analytic generalisation complement each other by making it possible for researchers to generalise to both theory and new hypotheses (i.e. both inductively and deductively). Lastly, naturalistic and analytic generalisation enables a double-ended generalisation, where both the reader and the scientist themself generalise to specific situations and over-all theory, respectively.

Purpose - The purpose of this paper is to explore if there is any evidence that students actually can learn anything with the help of case studies. This study will answer the hypothesis “H” that are constructed as following: “H”. “The case study teaching method is a stimulating method for students to learn in.” Methodology - The method used in this paper is qualitative secondary research from databases. The databases consist of Diva, Google Scholar, Emerald, Web of Science and Scopus. Other secondary research is from research books and books about pedagogy. Implications/Findings - This research study shows that case studies have a positive influence on the student’s engagement and that learning gets more meaningful if the students are more engaged in the learning process. To be more engaged can move the student to a higher level of thinking. Furthermore, case studies enhanced the learning retention in students. Keywords - Student, Evidence, Learning, Case Study, Engagement, Stimulating, Motivation, Influence. Paper type – Research paper.

Case studies are widely used across a lot of different subject areas, however there are a lot of questions about the use of it because of the doubt in its’ contribution to science and the quality of it. The purpose with this research paper is to define the case study and the characteristics required in it for it to be classified and recognized as a “good” case study. Findings reveal that case study is defined in many different ways depending on the area of subject it is presented in. A good case study is reliable, valid and is used as a qualitative research method and it contains a lot of depth in the investigated single case.

The purpose of this study is to examine how members of the community, educators, legislators, and members of the academy organized and mobilized to bring Florida Statute 1003.42(h) into being. This Afrocentric case study policy analysis centers African people, educators, and policymakers as agents, actors, and subjects with agency who determined that such legislation was needed and necessary for the education of African American students and all students. Data, in the form of document analysis, websites in the states of New York, New Jersey, Illinois, and South Carolina with similar laws, and Florida’s Commissioner’s Task Force on African American History, newspaper accounts, and interviews with key people involved in the creation of the Florida legislation, were analyzed using an Africological methodology. Findings include several major themes that emerged about educational curriculum content, intent, needs, and analysis relative to why this legislation was sponsored and passed including: (a) inaccuracy and omission, (b) correction and inclusion, (c) consciousness and competence, (d) policy and priority, (e) power and precedence. The final product includes a theory of Selective Memory Manipulation and a Paradigm for Afrocentric Educational Policy Production and Analysis.

Background: The continued success of Lean thinking beyond manufacturing has led to an increasing interest to utilize it in software engineering (SE). Value Stream Mapping (VSM) had a pivotal role in the operationalization of Lean thinking. However, this has not been recognized in SE adaptations of Lean. Furthermore, there are two main shortcomings in existing adaptations of VSM for an SE context. First, the assessments for the potential of the proposed improvements are based on idealistic assertions. Second, the current VSM notation and methodology are unable to capture the myriad of significant information flows, which in software development go beyond just the schedule information about the flow of a software artifact through a process. Objective: This thesis seeks to assess Software Process Simulation Modeling (SPSM) as a solution to the first shortcoming of VSM. In this regard, guidelines to perform simulation-based studies in industry are consolidated, and the usefulness of VSM supported with SPSM is evaluated. To overcome the second shortcoming of VSM, a suitable approach for capturing rich information flows in software development is identified and its usefulness to support VSM is evaluated. Overall, an attempt is made to supplement existing guidelines for conducting VSM to overcome its known shortcomings and support adoption of Lean thinking in SE. The usefulness and scalability of these proposals is evaluated in an industrial setting. Method: Three literature reviews, one systematic literature review, four industrial case studies, and a case study in an academic context were conducted as part of this research. Results: Little evidence to substantiate the claims of the usefulness of SPSM was found. Hence, prior to combining it with VSM, we consolidated the guidelines to conduct an SPSM based study and evaluated the use of SPSM in academic and industrial contexts. In education, it was found to be a useful complement to other teaching methods, and in the industry, it triggered useful discussions and was used to challenge practitioners’ perceptions about the impact of existing challenges and proposed improvements. The combination of VSM with FLOW (a method and notation to capture information flows, since existing VSM adaptions for SE are insufficient for this purpose) was successful in identifying challenges and improvements related to information needs in the process. Both proposals to support VSM with simulation and FLOW led to identification of waste and improvements (which would not have been possible with conventional VSM), generated more insightful discussions and resulted in more realistic improvements. Conclusion: This thesis characterizes the context and shows how SPSM was beneficial both in the industrial and academic context. FLOW was found to be a scalable, lightweight supplement to strengthen the information flow analysis in VSM. Through successful industrial application and uptake, this thesis provides evidence of the usefulness of the proposed improvements to the VSM activities.