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Maryam Shokri, Jafar Nasir Nateri,
Volume 14, Issue 1 (3-2026)
Abstract

Background and Objective
With the rapid expansion of smart city initiatives, municipal employees' productivity challenges have become a critical organizational and service delivery issue. This study aimed to design an integrated model of transformational leadership, smart city technologies, and organizational ergonomics to enhance the efficiency and performance of municipal employees in smart cities.

Methods
This mixed-methods study consisted of qualitative and quantitative phases. In the qualitative phase, in-depth interviews were conducted with 18 elite experts and senior managers, and data were analyzed using Braun and Clarke's six-phase thematic analysis (256 initial codes, 41 sub-themes, 4 main themes). In the quantitative phase, the conceptual model was tested through a researcher-developed questionnaire administered to 238 employees from Tehran Municipality District 8 (96.36% response rate). Data analysis was performed using PLS-SEM in Smart PLS 4 software with 5000 bootstrap subsamples.

Result
Qualitative analysis identified 4 main themes: transformational leadership, smart city technologies, organizational ergonomics, and employee efficiency/performance. Quantitative results demonstrated excellent model fit (R²=0.78, Q²=0.56, SRMR=0.051, NFI=0.95). All three dimensions had significant positive effects on efficiency; transformational leadership exhibited the strongest effect with a path coefficient of 0.46 (t=8.47, f²=0.42), identified as the primary predictor.

Conclusion
The integrated model of transformational leadership, smart city technologies, and organizational ergonomics provides an effective framework for analyzing and enhancing municipal employees' efficiency in smart cities. This approach is expected to improve service efficiency and citizen satisfaction. The findings underscore the need to shift from purely technology-driven approaches to a systemic, human-centered perspective integrating leadership, technology, and job design.

 

Amir Ehsan Zahedi,
Volume 14, Issue 1 (3-2026)
Abstract

Background and Objectives: Nurses, as the largest professional group in the health system, are affected by the level of communication and sharing networks in their work environments due to their constant contact with patients and other members of the treatment team. The aim of the study is to investigate the role of social capital on key indicators of nurses' performance.
Methods: The study is quantitative. The time frame of the study is spring and summer 2025. The population is nurses at the University of  Medical Sciences of Markazi Province, and a sample of 180  selected using a simple random method. Data analysis performed using structural equation modeling (SEM) using Smart PLS 3.0  software.
Results: Cognitive, relational, and structural dimensions of social capital have a positive effect on nurses' participation and social cohesion. The cognitive dimension has the greatest effect on social participation with a coefficient of 0.541. Social participation and cohesion also have a positive effect on nurses' retention and satisfaction. Social participation has a greater effect on retention with a coefficient of 0.641.
Conclusion: Explaining common goals, creating an atmosphere based on trust, mutual respect, and social support in the workplace, designing structures such as interdisciplinary work teams, and professional nursing networks can help increase social participation and cohesion among nurses and ultimately lead to increased job satisfaction and a desire to stay in the organization.

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