Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

Artificial Intelligence Adoption, Strategic Decision-Making, and the Improvement of Key Performance Indicators (KPIs): Evidence from Organizations in Tehran

Document Type : Original Article

Author
J. Zhang
Department of Industrial Engineering, Faculty of Engineering, Peking University, Beijing, China
10.22034/tdas.2025.245584
Abstract
This study examines how managers perceive the contribution of artificial intelligence (AI) adoption to strategic decision-making and key performance indicators (KPIs) in organizations in Tehran. Using a quantitative descriptive survey design, data were collected from 384 managers, senior executives and senior experts in technology, service and manufacturing organizations in Districts 2, 5 and 7 of Tehran with a structured five-point Likert questionnaire, and were analyzed descriptively in SPSS. Respondents rated the contribution of AI most highly for the speed of decision-making (M = 3.80) and more moderately for KPI improvement (M = 3.10), whereas human resource readiness to work with AI received the lowest score (M = 2.90). Mean scores were highest in District 2 (3.52), followed by District 7 (3.30) and District 5 (3.15); because no inferential tests were conducted, these differences are descriptive only. The findings suggest that the organizations studied are in a transitional stage of digital transformation, in which AI tools are increasingly available but their contribution to performance is constrained by employee readiness, data integration and decision-making culture. The study therefore recommends a shift from technology-centred to capability-centred AI strategies, including continuous employee upskilling, a data-driven organizational culture and integrated data infrastructure. Future research should test these relationships using inferential and multivariate methods.
Keywords
Artificial Intelligence
Strategic Decision-Making
Key Performance Indicators
Smart KPIs
Organizational Performance
Digital Transformation
Tehran
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Transactions on Data Analysis in Social Science
Volume 7, Issue 2
Spring 2025
Pages 97-109

  • Receive Date 04 February 2025
  • Revise Date 10 April 2025
  • Accept Date 26 May 2025