Designing an Optimal Model for the Symbiosis of Artificial Intelligence and Human Capital in the Provision of Urban Services

Document Type : Original Article (Mixed)

Authors

1 Ph.D. Candidate, Department of Management, ZAH.C., Islamic Azad University, Zahedan, Iran

2 Department of Management, Zahedan Branch, Islamic Azad University, Zahedan, Iran

Abstract
This study aimed to design an optimal symbiosis model of artificial intelligence and human capital in the delivery of urban services for the municipalities of Sistan and Baluchestan Province. The research was conducted in two phases: qualitative and quantitative. In the qualitative phase, document analysis, interviews, and the Delphi technique with the participation of 20 experts were employed to explore and develop the initial model. The software used in this phase was MAXQDA. In the quantitative phase, data were collected from 300 employees of the province's municipalities using a researcher-developed questionnaire, the validity and reliability of which were tested and confirmed, and subsequently analyzed through structural equation modeling. The findings indicated that the final research model enjoys a good fit and comprises six main constructs: contextual factors, AI components, human capital components, mediating factors, symbiosis strategies, and desirable outcomes. The strongest relationship in the model was observed between contextual factors and AI components, with a path coefficient of 0.98. This research offers a localized model for optimizing human-AI collaboration in the municipalities of underprivileged regions.

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  • Receive Date 19 February 2026
  • Revise Date 18 April 2026
  • Accept Date 11 May 2026