The Impact of Artificial Intelligence on Managerial Decision-Making in Startups (Case Study: Tehran Science and Technology Park)

Subject Areas :

Hossein Mahdi Roknabadi ¹ , Mohsen Ameri Shahrabi ^{2 *} , Mahsa Mirshahi ³

1 - PhD student in Public Administration, Department of Public Administration, North Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Cultural Management, North Tehran Branch, Islamic Azad University, Tehran, Iran
3 - PhD student in Business Administration, Department of Business Administration, North Tehran Branch, Islamic Azad University, Tehran, Iran

Received: 2025-05-19 Accepted : 2025-07-19 Published : 2025-08-01

Keywords: Artificial Intelligence, Decision Making, Startup, Science and Technology Park,

Abstract :

This study examines the impact of artificial intelligence on managers’ decision-making in start-up businesses located in Tehran Science and Technology Park. The main objective of the study is to identify the factors affecting artificial intelligence on decision-making processes and analyze the challenges and responsibilities associated with using this technology in start-up environments. This study is of a descriptive-analytical and applied research type. Data were collected through in-depth interviews with 21 managers and experts related to science and technology parks. Open coding, axial coding, and selective coding methods were used, and the Delphi technique was used to determine the components and subcomponents of the impact of artificial intelligence on decision-making. The results of the study indicate the identification of four main components, including “data analysis and processing”, “decision-making optimization”, “resource and process management”, and “challenges and responsibilities”. The findings also emphasize the importance of AI in improving the speed, accuracy, and efficiency of managers' decision-making, and raise challenges such as algorithmic bias and privacy concerns. The results of this research can provide a better understanding of the role of this technology in improving organizational performance and identifying the challenges associated with it, and at the level of senior managers and policymakers in developing effective strategies and optimal use of AI.

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