University of Twente Student Theses
Leveraging AI for Adaptive Business Strategy: Analyzing the Role of Technical and Business Applications across Departments
Es, B.C. van (2024) Leveraging AI for Adaptive Business Strategy: Analyzing the Role of Technical and Business Applications across Departments.
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| Abstract: | Strategic integration of artificial intelligence (AI) into corporate operations creates chances for increased efficiency, competitive advantage, and innovation. In order to answer the research question, "How do different AI technologies align with and enhance specific business functions within an organization?" this study examines how particular AI technologies complement and improve business functions. Expert assessments were used to analyze important company domains, such as marketing, R&D, manufacturing, and cybersecurity. Using a cross-tabulation of verified AI keyword lists, experts evaluated AI technologies—Machine Learning, Image Recognition, Speech Recognition, and Knowledge-Based Systems—based on their influence across multiple business fields. The results show that machine learning is widely applicable across industries, but it is especially important in cybersecurity and manufacturing, where it supports threat identification and predictive analytics. In manufacturing and production, image recognition has become essential for automation and quality control, and knowledge-based systems help distribution and logistics decision-making. In customer-facing positions like marketing and sales, speech recognition is highly desired despite being more specialized. It makes chatbots and staff communication tools possible. Cybersecurity departments use technology methods like machine learning and knowledge-based systems to make threat detection, response, and system recovery easier. As a result of their ability to facilitate strategic decision-making and promote effective operations, knowledge-based system technologies, such as Human Performance Augmentation and Commonsense reasoning for HR, and systems such as Business process management and Expert systems for R&D have become indispensable in these departments. This report provides useful information for businesses looking to allocate AI resources as efficiently as possible. Some technologies, such as machine learning, exhibit broader importance, while others, like speech recognition, exhibit specific uses. This report supports strategic AI investments that promote organizational innovation and efficiency by elucidating AI's function across departments and providing expert insights. |
| Item Type: | Essay (Bachelor) |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 50 technical science in general, 85 business administration, organizational science |
| Programme: | Business Administration BSc (50645) |
| Link to this item: | https://purl.utwente.nl/essays/104466 |
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