The Sustainable Development Goals (SDGs) express the commitment of countries to integrate ecosystem and biodiversity values into national planning. The System of Environmental-Economic Accounting – Experimental Ecosystem Accounting (SEEA-EEA) is an emerging international standard measurement framework for national ecosystem accounting. The international official statistics community proposes the SEEA-EEA as a means of integrating ecosystem and biodiversity values into national planning by providing guidance on measuring ecosystems and their contribution to the economy. Implementation of such a common measurement framework requires agreement among diverse ethical perspectives, disciplines, national contexts and roles on what to measure, how to measure it and how to interpret those measures to support a common policy direction. This thesis asks the question: If the aim is to provide guidance to countries on integrating ecosystem and biodiversity values into national planning, how could one foster convergence on a common national ecosystem accounting framework that is sufficiently comprehensive to capture the important linkages between ecosystems and human well-being, sufficiently convergent to be accepted by diverse perspectives, sufficiently rigorous for national official statistics, sufficiently consistent to allow for time-series and international comparisons and sufficiently feasible to be affordable for national governments to implement and maintain? To address this broader question, this thesis investigates the sources of divergence in national ecosystem accounting and develops tools to assess and to foster convergence. To accomplish this, I focussed on the following four research questions in four separate papers: 1. How should we think about ecosystem measurement if the aim is comprehensiveness, practicality, and convergence? [Chapter 2] This ethical analysis concludes that for ecosystem accounting to be universal, it needs to explicitly and simultaneously address broad human values, long time-frames, and the concepts of Critical Natural Capital and precaution. 2. What approaches to ecosystem accounting have already been developed and are they sufficient? [Chapter 3] This review of 16 state-of-the-art frameworks finds that none addresses all requirements for convergence on a common national ecosystem accounting framework. Collectively, they provide insufficient guidance on ecosystem classification, measurement in general, delineating Critical Natural Capital, incorporating broad human values and measuring statistical uncertainty. 3. Where is the divergence of values and preferences within the broader community of practice (researchers, users, analysts)? [Chapter 4] This cluster analysis of a survey of 131 expert stakeholders in national ecosystem accounting revealed agreement on the need for broadening the scope, addressing multiple decision contexts and furthering the development of national ecosystem accounting. The most important divergence issues in this community of practice were attributed to different ethical perspectives and differences in interpretation of core concepts. 4. Are current classifications of ecosystems and ecosystem services sufficient for national ecosystem accounting? [Chapter 5] This meta-analysis integrates nine comprehensive ecosystem assessments. It concludes that the lack of rigour in current classifications impedes consensus on aggregating information on “Which ecosystems produce which services?” and therefore current approaches are insufficient for national ecosystem accounting. I suggest an improved ecosystem classification for future studies. In the concluding chapter, I present a synthesis of research arguments and findings of the previous four chapters. The main outcome of this research has been not only the specific findings of the individual chapters, but also the development of a normative and empirically-supported toolkit to improve convergence and aggregation in future national ecosystem accounting frameworks: - Four normative criteria to assess frameworks and to incorporate into future designs and revisions, - A critical comparative assessment of current frameworks, - An empirically supported analysis of the preferences of the community of practice, and - A systematic approach for determining priority ecosystems and services for national ecosystem accounting. This thesis concludes that national ecosystem accounting can be a valuable tool for national planning. The approaches suggested can be applied to establishing a constructive national dialogue on national environmental priorities, to provide evidence to inform those priorities and to apply this evidence to support common policy platforms. However, care must be taken in its implementation to minimize the inherent risks of oversimplification and homogenization of the diverse stakeholder and scientific perspectives.

The Internet ecosystem comprising of thousands of Autonomous Systems (ASes) now include Internet eXchange Points (IXPs) as another critical component in the infrastructure. Peering plays a significant part in driving the economic growth of ASes and is contributing to a variety of structural changes in the Internet. IXPs are a primary component of this peering ecosystem and are playing an increasing role not only in the topology evolution of the Internet but also inter-domain path routing. In this dissertation we study and analyze the overall affects of peering and IXP infrastructure on the Internet. We observe IXP peering is enabling a quicker flattening of the Internet topology and leading to over-utilization of popular inter-AS links. Indiscriminate peering at these locations is leading to higher endto-end path latencies for ASes peering at an exchange point, an effect magnified at the most popular worldwide IXPs. We first study the effects of recently discovered IXP links on the inter-AS routes using graph based approaches and find that it points towards the changing and flattening landscape in the evolution of the Internet’s topology. We then study more IXP effects by using measurements to investigate the networks benefits of peering. We propose and implement a measurement framework which identifies default paths through IXPs and compares them with alternate paths isolating the IXP hop. Our system is running and recording default and alternate path latencies and made publicly available. We model the probability of an alternate path performing better than a default path through an IXP iii by identifying the underlying factors influencing the end-to end path latency. Our firstof-its-kind modeling study, which uses a combination of statistical and machine learning approaches, shows that path latencies depend on the popularity of the particular IXP, the size of the provider ASes of the networks peering at common locations and the relative position of the IXP hop along the path. An in-depth comparison of end-to-end path latencies reveal a significant percentage of alternate paths outperforming the default route through an IXP. This characteristic of higher path latencies is magnified in the popular continental exchanges as measured by us in a case study looking at the largest regional IXPs. We continue by studying another effect of peering which has numerous applications in overlay routing, Triangle Inequality Violations (TIVs). These TIVs in the Internet delay space are created due to peering and we compare their essential characteristics with overlay paths such as detour routes. They are identified and analyzed from existing measurement datasets but on a scale not carried out earlier. This implementation exhibits the effectiveness of GPUs in analyzing big data sets while the TIVs studied show that the a set of common inter-AS links create these TIVs. This result provides a new insight about the development of TIVs by analyzing a very large data set using GPGPUs. Overall our work presents numerous insights into the inner workings of the Internet’s peering ecosystem. Our measurements show the effects of exchange points on the evolving Internet and exhibits their importance to Internet routing.

The overall aim of this study is to investigate the phenomenon of performance measurement in independently owned hotels in Ireland in order to understand the role of measurement in the management of the largest component of the hotel sector. The primary objectives of this study are to investigate the extent to which Irish hotel operators are utilising performance measurement techniques, to establish the rationale for the use of selected performance measures in independent hotels and to understand approaches to performance measurement in the management of independent hotels. A comprehensive investigation of existing performance management and measurement activity is provided in this study. A mixed methods approach to the research was undertaken to gather data on the phenomenon of performance measurement, allowing for a triangulation of data through multiple sources. A survey questionnaire was carried out within the hotels in Ireland followed by focus groups and indepth interviews carried out in a number of small and medium-sized hotels in Ireland. A number of key' performance measurement issues were investigated and include the rationale for performance measurement, the benefits of performance measurement, those responsible for carrying out the function, critical success factors impacting on the business and performance dimensions and measures utilised by hotel operators in the study. The findings of this research have implications for a number of stakeholders, however, the greatest impact will be on the small and medium-sized hotel operator. The research shows there is a need for these hotel operators to adopt a more structured formal approach to performance measurement. A number of models of performance measurement for small, medium-size and large hotels are proposed. These models will contribute to the management of performance in the hotel sector in Ireland, leading to increased effectiveness which is especially important in the current economic climate that the hotel and tourism sector is facing and will face into the future.

Context: Cloud computing is a prospering technology that most organizations are considering for adoption as a cost effective strategy for managing IT. However, organizations also still consider the technology to be associated with many business risks that are not yet resolved. Such issues include security, privacy as well as legal and regulatory risks. As an initiative to address such risks, organizations can develop and implement SLA to establish common expectations and goals between the cloud provider and customer. Organizations can base on the SLA to measure the achievement of the outsourced service. However, many SLAs tend to focus on cloud computing performance whilst neglecting information security issues. Objective: We identify threats and security attributes applicable in cloud computing. We also select a framework suitable for identifying information security metrics. Moreover, we identify SLA based information security metrics in the cloud in line with the COBIT framework. Methods: We conducted a systematic literature review (SLR) to identify studies focusing on information security threats in the cloud computing. We also used SLR to select frameworks available for identification of security metrics. We used Engineering Village and Scopus online citation databases as primary sources of data for SLR. Studies were selected based on the inclusion/exclusion criteria we defined. A suitable framework was selected based on defined framework selection criteria. Based on the selected framework and conceptual review of the COBIT framework we identified SLA based information security metrics in the cloud. Results: Based on the SLR we identified security threats and attributes in the cloud. The Goal Question Metric (GQM) framework was selected as a framework suitable for identification of security metrics. Following the GQM approach and the COBIT framework we identified ten areas that are essential and related with information security in the cloud computing. In addition, covering the ten essential areas we identified 41 SLA based information security metrics that are relevant for measuring and monitoring security performance of cloud computing services. Conclusions: Cloud computing faces similar threats as traditional computing. Depending on the service and deployment model adopted, addressing security risks in the cloud may become a more challenging and complex undertaking. This situation therefore appeals to the cloud providers the need to execute their key responsibilities of creating not only a cost effective but also a secure cloud computing service. In this study, we assist both cloud provider and customers on the security issues that are to be considered for inclusion in their SLA. We have identified 41 SLA based information security metrics to aid both cloud providers and customers obtain common security performance expectations and goals. We anticipate that adoption of these metrics can help cloud providers in enhancing security in the cloud environment. The metrics will also assist cloud customers in evaluating security performance of the cloud for improvements.

The corporate accelerator Ericsson ONE, at the multinational networking and telecommunications company Ericsson headquartered in Sweden, is subject to this master thesis research. Within the organization, there was a need for a new business performance measurement system for indicating the performance and success of Ericsson ONE. The objective of this research was to find suitable frameworks and methods that can be applied when developing a customized business performance measurement system for a corporate accelerator. The goal was then to identify relevant measurements and Key Performance Indicators for Ericsson ONE to use and to visualize that data to communicate it to the users. This has been a qualitative study with ten conducted semi-structured, in-depth interviews with representatives from different departments at Ericsson ONE. Additionally, interviews were also made with representatives from an external accelerator program. The study has been following a three-step method for assessing and developing a business performance measurement system in a structured way. It resulted in a mockup of a dashboard where data for the new business performance measurements both can be collected and visualized. To ensure all important areas and perspectives of the organization are covered, the strategy performance management tool Balanced Scorecard was applied. / Företagsacceleratorn Ericsson ONE i det multinationella nätverks- och telekommunikationsföretaget Ericsson med huvudkontor i Sverige är uppdragsgivaren för detta examensarbete. Inom organisationen fanns ett behov av ett mätsystem för att indikera hur Ericsson ONE utvecklas och för att se vilken framgång som sker. Syftet med denna uppsats var att hitta lämpliga ramar och metoder för att utveckla ett anpassat mätsystem till en företagsaccelerator. Målet var att för Ericsson ONE identifiera relevant mätbar data utifrån lämpliga ramverk samt att visualisera och kommunicera denna data för användarna. Denna kvalitativa studie har genomförts genom att representanter från olika delar av Ericsson ONE har intervjuats på ett semistrukturerat sätt. Även representanter från ytterligare ett acceleratorprogram har inkluderats. Projektet har följt en trestegsmetod för att utvärdera och utveckla ett mätsystem på ett strukturerat sätt. Detta resulterade i att en mockup för en dashboard har utvecklats där data och mätindikatorerna kan samlas ihop och visualiseras. För att säkerställa att alla viktiga områden och perspektiv i organisationen täcks, användes strategihanteringsverktyget Balanced Scorecard.