University of Twente Student Theses
Exploring the Adoption of AI-Driven Business Valuation Technologies: The Drivers of the Adoption Intention
Beernink, S.H. (2024) Exploring the Adoption of AI-Driven Business Valuation Technologies: The Drivers of the Adoption Intention.
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| Abstract: | This study investigates the factors influencing the adoption of Artificial Intelligence (AI) in the business valuation process for small and medium-sized enterprises (SMEs) in the Netherlands. It focuses on understanding what drives the intention to adopt AI in this context. To explore this, the research examines ten key factors influencing AI adoption, using a integrated framework that incorporates data from interviews and structured questions. The study highlights several essential factors that can guide policymakers, business leaders and business valuators in promoting AI adoption. These include the perceived benefits of AI over current methods, its compatibility with existing systems, and the ease or complexity of its use. Additionally, the support from top management, the organization's ability to understand and implement new technologies, and the size of the firm play significant roles. Competitive pressure, unfamiliarity with AI, concerns about data safety and privacy, and trust in AI's reliability are also crucial considerations. These findings provide a strategic roadmap for enhancing AI adoption in business valuation, potentially increasing the willingness of SMEs to integrate AI into their processes. |
| Item Type: | Essay (Master) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 85 business administration, organizational science |
| Programme: | Business Administration MSc (60644) |
| Link to this item: | https://purl.utwente.nl/essays/104853 |
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