Abstract
Artificial Intelligence is one of the most promising technologies in recent years for helping human beings complete many complicated tasks. Many organizations, especially large corporations, have been trying to adopt AI technologies, but they are also facing many challenges. There have been many research studies on the technical developments of Artificial Intelligence in the past on how it could help our daily applications. However, how to properly make the best use of this technology based on the constraints of organizations has not been fully explored, especially in the local context.The goal of this study is to create a comprehensive understanding of the factors influencing Hong Kong organizations’ adoption of Artificial Intelligence. Initially, a theoretical technology adoption model was proposed based on literature review, then a pilot study was carried out with 10 industry experts to explore their views on artificial intelligence adoption in their respective industries. A quantitative survey utilizing a sample of 202 organizations was employed to conduct an empirical evaluation of how managerial perspectives, organizational and technological readiness, and external influences would impact an organization's decision to adopt this developing technology.
The results of the pilot study were used to fine-tune the preliminary research model for testing. After the final model was established, the empirical data collected from the survey was analyzed using the structural equation modelling technique. The measurement model was validated and the significance and relationships among the theoretical constructs of the structural model were tested.
Based on the survey and model testing, a self-assessment and benchmarking model was proposed, and 4 case studies were conducted to demonstrate how the results from this review can be utilized in real-life cases and explore how the factors may affect local organizations in performing the adoption of AI. The major adoption concerns and roadblocks for the case organization would be unveiled. Then, a practical plan was laid out to resolve the issues for successful adoption. Finally, a roadmap was proposed for other companies to assess their plan to adopt AI technologies.
The innovation of this project includes both academic and practical aspects. First, an extended new theoretical model based on the Technology Acceptance Model, Technology-Organization-Environment framework, Technology Strategy, and Perceived Risks was developed, which provides a more comprehensive picture of factors influencing AI adoption. Second, both the survey and case studies were conducted to provide both quantitative and qualitative evidence. Third, observation and action cases were conducted to demonstrate the application of the research. Finally, a practical adoption roadmap derived from this research was proposed to provide important guidance for other organizations to consider during the adoption process.
| Date of Award | 22 May 2024 |
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| Original language | English |
| Awarding Institution |
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| Supervisor | Hongyi SUN (Supervisor) |