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This Master's thesis sets out to learn why internal strategic communication is not improving as quickly as one might hope in one office of the Department of Defense. Many articles support the need for improved internal strategic communication. But during the author's summer internship, she noted the communications team struggled to make this happen. The author therefore wondered why these communication professionals were not successful. What is hindering their success? Two earlier research papers showed trust, transparency, leadership, diversity and conflict were all connected to internal strategic communication- either positively or negatively. But one new theme arose from these studies: that of power. The current study employs an exploratory case study to look more closely at why power may be a factor- as well as exploring any other possible reasons in order to answer why internal communication is not improving very quickly in this one office. Current and former members of a strategic communication team were asked for their opinions through open ended survey questions about experiences they had illuminating these concepts. Those responses were triangulated with documents and participant observation. This study illustrates that themes including lack of trust, transparency, empowerment, and inappropriate use of power, all play a role in the success or failure of internal strategic communication. The literature helps explain why these themes are having such an impact.

This dissertation contributes to the research in the applied market micro-structure field, aiming to investigate the impact of a specific article of the MiFID II enforced on the 3rd of January 2018: the so-called tick size regime. It is constituted by three papers that see in the market regulators and policy-makers their optimal target. The first paper evaluates the consequences of the new regulation on UK minor venues in terms of liquidity and price discovery and highlights minor unintended consequences in the implementation of the new grid. The second paper builds on these conclusions and promotes an alternative to ESMA grid, a recalibration of the tick size that might lead to a greater orderliness of UK order books. Thethirdpaperendogenouslyinvestigatesthebehaviourofthemarketparticipants in the time frame around the MiFID II enforcement, simulating liquidity breakdowns thus providing the regulators with new simple metrics to detect and monitor abnormal market participants interactions.

This study critically analyzes the mandatory financial disclosure requirements imposed on extractive companies operating in Liberia under the Liberia Extractive Industries Transparency Initiative (LEITI) and examines their implications on transparency, accountability, and sustainability in the extractive sector. Firstly, the study utilizes a qualitative approach and conducts interviews with stakeholders involved in or affected by the extractive sector in Liberia. The study reveals that mandatory financial disclosure under the LEITI has contributed to increased transparency, trust, compliance, and revenue generation in the extractive sector. However, the implementation of these requirements has encountered challenges in reducing corruption, addressing environmental and social issues, and ensuring participation and enforcement. Despite these challenges, the LEITI has proven to be more effective, efficient, and sustainable compared to other transparency initiatives in the extractive sector, such as the Publish What You Pay (PWYP) Coalition Liberia. Through the LEITI implementation, the study identifies best practices and lessons learned, including the importance of mandatory financial disclosure, multi-stakeholder engagement , a broad scope of reporting, and regional and global cooperation. Nevertheless, the study concludes that mandatory financial disclosure alone is insufficient to improve the performance and accountability of extractive companies in Liberia. Transparency initiatives like the LEITI should address both technical and political aspects of natural resource governance, while also considering the social and environmental impacts of extractive activities. In light of these findings, the study recommends that stakeholders in the extractive sector enhance the institutional and operational aspects of the LEITI. These recommendations encompass strengthening the legal and regulatory framework, empowering and involving civil society, addressing structural inequalities and power imbalances, and establishing effective oversight and enforcement mechanisms.

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In the context of automated vehicles, transparency of in-vehicle intelligent agents (IVIAs) is an important contributor to drivers' perception, situation awareness (SA), and driving performance. However, the effects of agent transparency on driver performance when the agent is unreliable have not been fully examined yet. The experiments in this Thesis focused on different aspects of IVIA's transparency, such as interaction modes and information levels, and explored their impact on drivers considering different system reliability. In Experiment 1, a 2 x 2 mixed factorial design was used in this study, with transparency (Push: proactive vs. Pull: on-demand) as a within-subjects variable and reliability (high vs. low) as a between-subjects variable. In a driving simulator, twenty-seven young drivers drove with two types of in-vehicle agents during Level 3 automated driving. Results suggested that participants generally preferred the Push-type agent, as it conveyed a sense of intelligence and competence. The high-reliability agent was associated with higher situation awareness and less workload, compared to the low-reliability agent. Although Experiment 1 explored the effects of transparency by changing the interaction mode and the accuracy of the information, a theoretical framework was not well outlined regarding how much information should be conveyed and how unreliable information influenced drivers. Thus, Experiment 2 further studied the transparency regrading information level, and the impact of reliability on its effect. A 3 x 2 mixed factorial design was used in this study, with transparency (T1, T2, T3) as a between-subject variable and reliability (high vs. low) as a within-subjects variable. Fifty-three participants were recruited. Results suggested that transparency influenced drivers' takeover time, lane keeping, and jerk. The high-reliability agent was associated with the higher perception of system accuracy and response speed, and longer takeover time than the low-reliability agent. Participants in T2 transparency showed higher cognitive trust, lower workload, and higher situation awareness only when system reliability was high. The results of this study may have significant effects on the ongoing creation and advancement of intelligent agent design in automated vehicles. / Master of Science / This thesis explores the effects of system's transparency and reliability of the in-vehicle intelligent agents (IVIAs) on drivers' performance and perception in the context of automated vehicles. Transparency is defined as the amount of information and the way to be shared with the operator about the function of the system. Reliability refers to the accuracy of the agent's statements. The experiments focused on different aspects of IVIA's transparency, such as interaction modes (proactive vs. on-demand) and information composition (small vs. medium vs. large), and how they impact drivers considering different system reliability. In the experiment, participants were required to drive in the driving simulator and follow the voice command from the IVIAs. A theoretical model called Situation Awareness-based Agent Transparency Model was adopted to build the agent's interactive scripts. In Experiment 1, 27 young drivers drove with two types of in-vehicle agents during Level 3 automated driving. Results suggested that participants generally preferred the agent that provided information proactively, and it conveyed a sense of intelligence and competence. Also, when the system's reliability is high, participants were found to have higher situation awareness of the environment and spent less effort on the driving tasks, compared to when the system's reliability is low. Our result also showed that these two factors can jointly influence participants' driving performance when they need to take over control from the automated system. Experiment 2 further studied the transparency regarding the information composition of the agent's voice prompt and the impact of reliability on its effect. A total of 53 participants were recruited, and the results suggested that transparency influenced drivers' takeover time, lane keeping, and jerk. The high-reliability agent was associated with a higher perception of system accuracy and response speed and a longer time to take over when requested than the low-reliability agent. Participants in the medium transparency condition showed higher cognitive trust toward the system, perceived lower workload when driving, and higher situation awareness only when system reliability was high. Overall, this research highlights the importance of transparency in IVIAs for improving drivers' performance, perception, and situation awareness. The results may have significant implications for the design and advancement of intelligent agents in automated vehicles.

The world's poorest people, most of whom reside in under-developed nations, lack access to clean water and sanitation facilities, nutritious food, and education (UMP, 2005). These conditions are linked to malnutrition, disease, and low life expectancies (WHO). In an effort to reduce global poverty, the United Nations (UN) adopted the Millennium Development Goals (MDGs). Under Goal 7c the UN denotes that by 2015 the population without sustainable access to safe drinking water and basic sanitation as compared to the proportion who do should be halved. As a response to this objective the international development (ID) sector has implemented projects aimed at increasing access to clean water and sanitation facilities, yet reports of high rate of project failure continue (Ika, 2012). In this thesis factors contributing to project failures are outlined based on the literature. In response to these findings this thesis explores the components of sustainability as it relates to the WASH sector and creates a framework for minimum standards that should be met in order for a WASH project to be considered successful. These standards are adapted based on the World Health Organization (WHO), a project funded by the Bill and Melinda Gates Foundation that evaluates WASH projects called WASHCost, as well as the standards proposed by Carter et al (1999). Furthermore, it is argued that if implementing organizations are expected to monitor, evaluate and report on the environmental, social, economic as well as technical components of their implemented project, it will create a level of transparency that promotes organizational accountability that will inherently cause a shift towards more effective WASH projects.

This dissertation explores the passage of the Federal Funding Accountability and Transparency Act of 2006 (FFATA) through John Kingdon’s (2003) Multiple Streams Theory. A policy analysis of the FFATA was conducted adapting Bardach’s Eightfold Path to Effective Problem Solving (2005) to explore the effectiveness of the FFATA. The dissertation focused on the attempt of the FFATA to account for the acceptable disbursement and use of disaster recovery payments and the ability of faith based initiatives to provide relief without compromising the separation of church and state principle through a coupling event. Additionally, this research sought to determine if faith based initiatives created a greater risk in awarding Stafford Act’s Public Assistance Grant Funds in the Gulf Coast after Hurricane Katrina. The study found the FFATA is not successfully meeting its goals and objectives in disaster recovery situations as it relates to Public Assistance Grants after Katrina because it fails to trace federal funding to the actual recipient of the grant. To determine if faith based initiatives created a greater risk in awarding Public Assistance Grant Funds after Katrina, 75 reports published by Office of Inspector General on Hurricane Katrina were reviewed to determine which types of compliance issues auditors have found with entities receiving federal funding under this grant program. Ordinary Least Squares (OLS) regression analysis and document analysis was performed on the collected data. Data showed that public entities have a higher percentage of questioned costs in comparison to faith based organizations. Content analysis revealed that 100 percent of public entities still spent the money on some other public purpose, but not necessarily a disaster-related purpose as required by federal rules specific to the PA Grant Program. Faith based organizations were more likely to have a violation of federal rules where the money ultimately was not traceable, indicating a greater risk of faith based organizations to violate the separation of church and state principle.

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