Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

The Impact of Artificial Intelligence on Strategic Decision-Making and the Improvement of Key Performance Indicators (KPIs)

Document Type : Original Article

Author
M.Sc. in Business Administration (Strategic Management), Tehran, Iran
Abstract
This study investigates the structural impact of Artificial Intelligence (AI) adoption on strategic decision-making and the optimization of Key Performance Indicators (KPIs) within organizations in Tehran, employing a quantitative, survey-based design. The statistical population comprised 384 managers and senior executives selected from Districts 2, 5, and 7 of Tehran. Data were collected via a standardized questionnaire and analyzed using SPSS and Structural Equation Modeling via Partial Least Squares (PLS-SEM). The empirical findings indicate that while AI deployment exerts a positive and statistically significant effect on the "speed of decision-making" (mean: 3.80), substantial bottlenecks persist regarding "KPI improvement" (mean: 3.10) and "human resource readiness" (mean: 2.90). A comparative regional analysis revealed that District 2 exhibits the highest echelon of digital maturity, primarily driven by a dense concentration of knowledge-based enterprises. Conversely, Districts 5 and 7 suffer from pronounced skill and infrastructural deficits. The study concludes that organizations in Tehran are currently navigating a "transitional phase"; although technical tools are increasingly available, the organizational culture and human competencies required to leverage their full potential have not yet matured. Consequently, driving sustainable digital transformation demands a strategic shift from a "technology-centric" to a "human-centric" paradigm. Based on these insights, the research offers operational recommendations, emphasizing the formulation of specialized upskilling programs, the cultivation of an agile organizational culture of innovation, the integration of data infrastructures, and the implementation of district-tailored regional policies. Ultimately, this study provides an actionable roadmap for executives to mitigate current systemic bottlenecks and facilitate the transition toward smart, agile organizations.
Keywords

Volume 7, Issue 2
Spring 2025
Pages 31-40

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