Decision-Making for Maritime Networks: Evaluating Corporate and Social Profitability of an Integrated Short Sea Shipping Network in the Upper Tyrrhenian Sea

This study applies cost benefit analysis (CBA) approaches to evaluate corporate and social profitability of a coordinated management proposal for a Short Sea Shipping (SSS) network in the upper Tyrrhenian area. The profitability of the maritime network is assessed first for the shipping companies operating therein and then for society as a whole. Corporate profitability analysis reveals a supply system currently over-sized compared to actual demand. The reasons for this must be found in the corporate competition strategies that traditionally characterize the free maritime transport market in the area. Social profitability analysis proves the potential positive impact of services rescheduling and coordination in terms of time savings and emission reduction in port areas and demonstrates the benefits new integrated management policies could yield for achieving higher efficiency and sustainability in SSS Tyrrhenian networks

Taiwan: Reference Of Good Practices For Latin America In Clean Industry

The main objective of the research is to show the importance of the PR China-Taiwan, as a global reference in the environmental theme, with emphasis on “Clean Industry” like a reference for Latin America. The investigation of the subject of garbage in the PRC-Taiwan, is carried out in the following logical sequence: first one makes an account of the Conferences / Agreements, that have been developed globally in relation with the environmental issue; In the second part, try to answer the question: why is RChina-Taiwan a reference in wage management? The third part, will be shown the structure achieved today, it is integral to other environmental processes, working with air, to garbage collection, through the back office of companies

Online Stakeholder Interactions in the Early Stage of a Megaproject

The purpose of this paper is to examine the network structure of online stakeholder discussions in the planning stage of a UK public mega project, High Speed Rail. By providing new rail connections between London, Birmingham and Manchester, this project is highly complex as it is embedded in a network of stakeholder relationships that may support or oppose the project. Data drawn from Twitter was analyzed using Social Network Analysis and inductive analysis of user profiles and content. Findings indicate that the majority of online stakeholders oppose the project and form stable clusters. Larger clusters within this network may attempt to deploy power directly in the form of a manipulation strategy while smaller clusters may seek to ally themselves with more powerful groups, a pathway strategy. Overall, the methodology is a useful complement to existing methods and may provide real time insights into the complex, evolving discussions around mega projects

Once the shovel hits the ground : Evaluating the management of complex implementation processes of public-private partnership infrastructure projects with qualitative comparative analysis

Much attention is being paid to the planning of public-private partnership (PPP) infrastructure projects. The subsequent implementation phase – when the contract has been signed and the project ‘starts rolling’ – has received less attention. However, sound agreements and good intentions in project planning can easily fail in project implementation. Implementing PPP infrastructure projects is complex, but what does this complexity entail? How are projects managed, and how do public and private partners cooperate in implementation? What are effective management strategies to achieve satisfactory outcomes? This is the fi rst set of questions addressed in this thesis. Importantly, the complexity of PPP infrastructure development imposes requirements on the evaluation methods that can be applied for studying these questions. Evaluation methods that ignore complexity do not create a realistic understanding of PPP implementation processes, with the consequence that evaluations tell us little about what works and what does not, in which contexts, and why. This hampers learning from evaluations. What are the requirements for a complexity-informed evaluation method? And how does qualitative comparative analysis (QCA) meet these requirements? This is the second set of questions addressed in this thesis