9,855 research outputs found
UMSL Bulletin 2023-2024
The 2023-2024 Bulletin and Course Catalog for the University of Missouri St. Louis.https://irl.umsl.edu/bulletin/1088/thumbnail.jp
Recommended from our members
The impact of employees' working relations in creating and retaining trust: the case of the Bahrain Olympic Committee
Introduction: This thesis investigates the impact of employees’ working relations in creating, maintaining and retaining trust in the Bahrain Olympic Committee (BOC).
Aim: The main aim of this thesis is to determine how the three groups of Organisational Trust variables, namely Social System Elements (SSE), Factors of Trustworthiness (FoT) and Third-Party Gossip (TPG), affect employees’ Organisational Trust (OTR) in the BOC and promote Organisational Citizenship Behaviour (OCB). To answer this main aim, a conceptual framework was created that focused on exploring the following research aims: (1) the interrelationship between SSE and FoT, (2) the effect of SSE on OTR, (3) the impact of TPG on OTR and (4) the effect of OTR on overall OCB.
Methodology: The study uses a mixed-method case study research style that included in-depth semi-structured interviews with 17 managers, an online questionnaire survey with 320 employees of the BOC and an analysis of the BOC’s Annual Reports from 2015 to 2018.
Results: The qualitative and quantitative findings indicate, firstly, that there is a significant interrelationship between SSE and FoT, establishing that SSE’s perception of organisational justice (OJ), including that FoTs benevolence and integrity as the most important factors in yielding employees’ trust in the BOC. Secondly, it has been established that SSEs have significant direct and indirect effects on OTR. Thirdly, negative and positive TPG concurrently occurred in the BOC and the prevalence of negative TPG poses more impact on OTR. Finally, this study’s findings demonstrated OTR’s effect in generating OCB, including that Civic Virtue was rated as the most preferred of the five OCB themes; this indicates the managers’ and the employees’ strong emotional attachment and support of the activities taking place at the BOC.
Contributions: Overall, this thesis substantially contributes to OTR literature, particularly in the context of the Middle East. It also proposes several insightful recommendations for future research and practical implications for practitioners in the field of Organisational Trust
Decolonising Higher Education in the Era of Globalisation and Internationalisation
Conceived within a context of transdisciplinarity and pluriversalism, and in rigorous response to the Eurocentric, globalising and nationalising structures of power that undergird and inhabit contemporary praxis in higher education – especially in African higher education – this collection of essays brings to the on-going discourse on decolonisation fresh, rich, probing and multilayered perspectives that should accelerate the process of decolonisation, not only in higher education in Africa, but also in the global imaginary. A remarkable, courageous and potentially revolutionary achievement, this book deserves a special place on curricula throughout the world of higher education
Exploring the impact of safety culture on incident reporting: lessons learned from machine learning analysis of NHS England staff survey and incident data
Safety culture is one of the key factors contributing to safety, even though limited evidence supports its impact on safety outcomes. This study uses supervised machine learning algorithms to explore the association between safety culture and incident reporting. The study used National Health Service (NHS) England annual staff survey data as a proxy of safety culture to predict eighteen incident reporting variables. The study did not achieve high accuracy rates in the prediction models. The highest association was found between safety culture and the number of incidents reported in class low, medium and high. LightGBM was the best-performed algorithm. SHAP plots were used to explain the model. Findings suggest that compassionate culture, violence and harassment and work pressure are critical in predicting the number of incidents reported. More specifically, the violence and harassment had a more significant impact on predicting the number of incidents reported in class high than in class medium and low. The involvement had more effect on predicting class low. The results demonstrated different behaviours in predicting different incident reporting classes. The findings facilitate lessons learned from staff surveys and incident reporting data in NHS England. Consequently, the findings can contribute to improving the safety culture in hospitals
Identity, Power, and Prestige in Switzerland's Multilingual Education
Switzerland is known for its multilingualism, yet not all languages are represented equally in society. The situation is exacerbated by the influx of heritage languages and English through migration and globalization processes which challenge the traditional education system. This study is the first to investigate how schools in Grisons, Fribourg, and Zurich negotiate neoliberal forces leading to a growing necessity of English, a romanticized view on national languages, and the social justice perspective of institutionalizing heritage languages. It uncovers power and legitimacy issues and showcases students' and teachers' complex identities to advocate equitable multilingual education
Human-Centered Approach to Technology to Combat Human Trafficking
Human trafficking is a serious crime that continues to plague the United States. With the rise of computing technologies, the internet has become one of the main mediums through which this crime is facilitated. Fortunately, these online activities leave traces which are invaluable to law enforcement agencies trying to stop human trafficking. However, identifying and intervening with these cases is still a challenging task. The sheer volume of online activity makes it difficult for law enforcement to efficiently identify any potential leads. To compound this issue, traffickers are constantly changing their techniques online to evade detection. Thus, there is a need for tools to efficiently sift through all this online data and narrow down the number of potential leads that a law enforcement agency can deal with. While some tools and prior research do exist for this purpose, none of these tools adequately address law enforcement user needs for information visualizations and spatiotemporal analysis. Thus to address these gaps, this thesis contributes an empirical study of technology and human trafficking. Through in-depth qualitative interviews, systemic literature analysis, and a user-centered design study, this research outlines the challenges and design considerations for developing sociotechnical tools for anti-trafficking efforts. This work further contributes to the greater understanding of the prosecution efforts within the anti-trafficking domain and concludes with the development of a visual analytics prototype that incorporates these design considerations.Ph.D
Monetizing Explainable AI: A Double-edged Sword
Algorithms used by organizations increasingly wield power in society as they
decide the allocation of key resources and basic goods. In order to promote
fairer, juster, and more transparent uses of such decision-making power,
explainable artificial intelligence (XAI) aims to provide insights into the
logic of algorithmic decision-making. Despite much research on the topic,
consumer-facing applications of XAI remain rare. A central reason may be that a
viable platform-based monetization strategy for this new technology has yet to
be found. We introduce and describe a novel monetization strategy for fusing
algorithmic explanations with programmatic advertising via an explanation
platform. We claim the explanation platform represents a new,
socially-impactful, and profitable form of human-algorithm interaction and
estimate its potential for revenue generation in the high-risk domains of
finance, hiring, and education. We then consider possible undesirable and
unintended effects of monetizing XAI and simulate these scenarios using
real-world credit lending data. Ultimately, we argue that monetizing XAI may be
a double-edged sword: while monetization may incentivize industry adoption of
XAI in a variety of consumer applications, it may also conflict with the
original legal and ethical justifications for developing XAI. We conclude by
discussing whether there may be ways to responsibly and democratically harness
the potential of monetized XAI to provide greater consumer access to
algorithmic explanations
- …