Human resource management plays a pivotal role in organizational success, with employee satisfaction being a critical factor in maximizing potential and productivity. This study investigates the relationship between leadership styles, organizational justice, and employee satisfaction within the hotel sector in Zadar County. The findings indicate that distributive justice has the most significant positive impact on employee satisfaction, while an autocratic leadership style is found to have a detrimental effect, contributing to lower motivation and higher stress levels among employees. Conversely, transformational leadership positively influences satisfaction by fostering motivation and encouraging employee participation in decision-making processes. The hotels in Zadar County generally report a high level of employee satisfaction, predominantly driven by a transactional leadership style, which emphasizes goal achievement through clearly defined tasks and performance-based rewards. Furthermore, managers exhibit a notable degree of interpersonal justice, treating employees with respect and empathy. These practices are considered to enhance the overall effectiveness of hotel management. In conclusion, the hotel sector in Zadar County benefits from a relatively high level of management effectiveness, characterized by efficiency and respect for employees. However, to further enhance employee satisfaction, it is recommended that management adopt a more democratic leadership style and focus on improving distributive justice, as these factors have the strongest positive influence on satisfaction. The integration of these strategies is expected to foster a more supportive work environment, thereby improving employee morale and retention.
In an increasingly competitive energy sector, the strategic utilization of human resources is paramount to achieving sustainable competitive advantage. The alignment between human resource management (HRM) and strategic objectives plays a critical role in enhancing organizational performance, particularly in power plant operations. This study aims to prioritize human resource performance indicators within the context of power plants by employing a hybrid multi-criteria decision-making (MCDM) approach. Through a comprehensive literature review, the key evaluation criteria—preparation, implementation, and evaluation—were identified. A mixed-method research design was adopted, integrating the Delphi method for expert consensus with a fuzzy Analytic Hierarchy Process (AHP)-Complex Proportional Assessment (COPRAS) approach for quantitative analysis. The study was conducted as an applied case study, with data collected from 15 senior experts and managers at the Nowshahr Combined Cycle Power Plant. Findings indicate that among the main criteria, the implementation dimension was assigned the highest priority, with a final weight of 0.418. Within this category, the training system emerged as the most influential sub-criterion, receiving a weight of 0.1154. Additionally, continuous performance measurement was identified as the most effective strategy for sustaining workforce efficiency. The proposed methodology provides a systematic framework for decision-makers in the energy sector to enhance human resource performance from a strategic perspective, thereby improving overall operational effectiveness.
The rapid advancement of digital finance has emerged as a crucial driver of sustainable urban development, yet its impact on green total factor productivity (GTFP) remains underexplored. This study investigates the mechanisms through which digital finance influences GTFP and examines its spatial spillover effects within Chinese prefecture-level cities. Utilizing panel data from 278 cities spanning 2011 to 2021, the Digital Financial Inclusion Index and an urban GTFP measurement framework are employed to conduct a dynamic analysis. The findings reveal that digital finance facilitates GTFP growth primarily through three channels: fostering technological innovation, promoting industrial upgrading, and mitigating resource misallocation. Significant regional heterogeneity is observed, with the impact being more pronounced in central and western China compared to the eastern region. Moreover, cities with lower levels of financial development experience a stronger enhancement in GTFP through digital finance than their more financially developed counterparts. A temporal analysis further indicates that the green efficiency effect of digital finance has intensified over time. Employing a Spatial Error Model (SEM), robust evidence of significant spatial spillover effects is identified, demonstrating a clustering pattern in regional green efficiency improvements. These findings underscore the need for tailored policy interventions to optimize the role of digital finance in promoting sustainable urban development. Policy recommendations include enhancing financial accessibility in underdeveloped regions, strengthening technological diffusion, and fostering coordinated regional green development strategies.
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