Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 23 for “"AI adoption"”.
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AI adoption in Icelandic tech startups : applications, barriers, and future opportunities
This mixed-methods study investigates the adoption of artificial intelligence (AI) within Iceland's tech startups, addressing a research gap in smaller economies. Leveraging the Technology-Organization-Environment (TOE) framework, the study examines current AI applications, barriers to adoption, …
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The Influence of AI-Literate Leadership on AI Adoption in Healthcare Organizations
<p>The adoption of Artificial Intelligence (AI) in healthcare has the potential to revolutionize patient care, optimize operations, and advance diagnostic precision. However, successful adoption depends on AI-literate leadership capable of addressing ethical, technical, and organizational …
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Adoption and Integration of Artificial Intelligence (AI) in UAE Public Safety and Security Organisations
Artificial Intelligence (AI) usage is gaining momentum in the public sector due to its benefits. For instance, the need to reach more people faster, safely and securely has encouraged usage by the United Arab Emirates (UAE) public sector. However, it has been challenging integrating AI with …
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From policy to practice: AI integration in Brazilian and German public administration
Artificial Intelligence (AI) is rapidly transforming public administration, but its implementation is shaped by local contexts. This thesis compares AI adoption in Belo Horizonte, Brazil, and Berlin, Germany, examining how administrative traditions influence results. Belo Horizonte, with a hybrid …
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ARTIFICIAL INTELLIGENCE IN PUBLIC WELFARE POLICIES: ADOPTIONS, PERCEPTIONS AND TRUST
What consequences will the widespread adoption of Artificial Intelligence (AI) in the public sector have on society? I was inspired by this question to conduct five studies using multidisciplinary and multi-methods research designs. While most research focuses on the private sector or pioneering …
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Strategizing in Response to Environmental Uncertainty in the Hospitality Industry: A Data-Analytical Approach
… and the disruptive innovations of Generative AI. For businesses, understanding these external conditions and adapting strategies accordingly is crucial yet challenging, especially considering environmental uncertainties. Therefore, this dissertation investigates the effectiveness of different …
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The AI revolution: Investigating how small and medium-sized enterprises (SMEs) are adapting to Artificial Intelligence (AI) in the manufacturing sector in New Zealand
… how they are adopting Artificial Intelligence (AI) remains limited. Focusing on the two largest subsectors, Food & Beverage and Machinery & Equipment, this thesis examines how these businesses are adapting to AI technologies, where AI is being applied, what drives its implementation, what …
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An Investigation into How the Advancements and Availability of Artificial Intelligence Tools have Impacted Project Management Communication and Stakeholder Management Practices
… how recent advancements and the increasing availability of Artificial Intelligence (AI) tools are impacting project management practices, focusing on communication and stakeholder management. The research addresses four main questions. How widely are AI tools being adopted by project …
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How can AI-powered business intelligence systems help veterinary practices implement personalized preventive care strategies while improving client satisfaction and revenue streams?
… the integration of Artificial Intelligence (AI) and Business Intelligence (BI) systems in veterinary medicine, with a particular focus on how these technologies support preventive care, enhance client satisfaction, and optimize revenue streams. While AI is already transforming human …
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The Use of Artificial Intelligence (AI) in the Wine Sector – Use Cases, Benefits, Implementation Challenges and Drivers
Artificial Intelligence (AI) is an innovation that has gained widespread attention in recent years, not only in popular culture but also across academic, practical, and policy domains. However, the technology has been under development for approximately eight decades at the time of this …
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Investigating roadblocks to artificial intelligence adoption in enterprises through a systems perspective
Artificial Intelligence (AI) is a new digital technology and strategy imperative. It can have an enormous influence on the economy and society. In 1956, the term AI was introduced at the Dartmouth conference and used mainly in computer science research and academic domain. AI experienced several …
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AI Trust and Technology Optimism in the Workforce: Data-Driven Insights into Regional Variation
Automation and AI systems are reshaping the workplace. How these technologies make a difference varies according to local contexts. Workers’ willingness to trust and embrace these technologies is shaping how this transformation unfolds in practice. Some workers trust AI more than others, and …
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The road to enterprise Artificial Intelligence : a case studies driven exploration
Increases in the volume of data and the availability of compute power have driven a number of advancements in the field of Artificial Intelligence (AI), and AI technologies and applications are getting a flood of publicity in the media. While four in five executives agree that AI is a strategic …
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Unlocking Collective Intelligence in Decentralized AI
… vast repositories of data and knowledge often remain siloed and untapped due to privacy concerns and centralized control. Thus, despite the transformative potential of artificial intelligence, its utilization in societal sectors lags behind other industries. For example in healthcare, data privacy …
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Exploring AI integration in graduate interpreter training: a mixed methods study on pedagogical adaptation and professional futures
… by rapid advances in artificial intelligence (AI) technologies that are reshaping professional and educational practice (Ferreira & Schwieter, 2022; Kalina, 2000; Kalina & Barranco-Droege, 2021). Despite increasing adoption of AI in related fields, graduate-level interpreter education remains …
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Exploring the role of AI in enhancing sustainability within New Zealand's hospitality industry: A study on knowledge, applicability, and perception in reducing food waste
… interest globally in artificial intelligence (AI) to curb FW in the hospitality industry. This study explores the role of AI in reducing FW and enhancing sustainability within New Zealand's hospitality industry, specifically, it focuses on the factors critical for its implementation - …
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Barriers to the Adoption of Artificial Intelligence Techniques for Credit Scoring Systems: An Exploratory Study in Jordanian Banks
Artificial Intelligence (AI) integration in Jordanian banking sector, particularly AI-based Credit Scoring Systems (AI-CSSs), offers transformative potential for credit risk management. AI-CSSs can enhance predictive accuracy, reducing of human errors and bias, promote financial inclusion, …
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Converting Autoencoder Based Energy-Efficient and Secure DNN Inference on Edge Devices
… of complexity for classification. Our method trains an autoencoder to transform complex images into simpler representations, enabling a more efficient DNN. To optimize this process, we incorporate intraclass clustering on complex datasets, minimizing reconstruction loss and improving …
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