مطالب

This study's purpose was to structurally model the relationships between personality style and sports identity with psychological resilience in athletes with a disability. The research method was descriptive-correlational, using structural equation modeling. The sample included active athletes with a disability (club, provincial) who had experienced at least one sports injury in the past two years. Data collection utilized McCrae and Costa's Personality Questionnaire, Brewer et al.'s Sports Identity Questionnaire, and the Connor-Davidson Resilience Scale. Data were analyzed using partial least squares. The findings showed that personality style has a positive and significant effect on psychological resilience. Sports identity also had a positive, significant impact on resilience. These variables explained a significant variance in resilience. Results indicate that athletes with positive personality traits and stronger sports identity have a greater ability to bounce back from difficult situations. From an applied perspective, findings can be used in designing psychological interventions to enhance resilience. Sports federations should include personality skills development.

Although previous research has examined the application of artificial intelligence (AI) across various areas of finance, there remains limited empirical evidence regarding its impact on corporate financial asset allocation. This gap is particularly evident when considering the organisational capabilities that enable firms to utilise AI technologies effectively. In the rapidly evolving technological landscape, artificial intelligence (AI) has emerged as a pivotal force driving innovation and transformation within corporate financial management. By embedding AI into organisational processes, companies have fundamentally reshaped their financial decision-making frameworks. However, the exact mechanisms through which AI adoption shapes the allocation of financial assets are still not fully understood. This study examines how artificial intelligence (AI) technologies influence the allocation of financial assets within corporations, with a specific focus on the moderating influence of three dynamic organisational capabilities: absorptive capacity, innovation capability, and adaptability. Based on panel data collected from companies listed on the Tehran Stock Exchange between 2020 and 2024, AI adoption is measured through textual analysis of management commentary reports obtained from the Codal system. The dependent variable comprises a set of financial ratios, including the proportion of financial assets relative to a firm’s total assets. The analysis employs multiple regression models with interaction terms to test the proposed hypotheses. Findings indicate that the adoption of AI substantially enhances the effectiveness of distributing financial assets. Moreover, absorptive capacity and innovation capability strengthen the association between AI adoption and the allocation of financial assets within firms' performance, while adaptability shows no statistically significant moderating effect. These results highlight the importance of both technological infrastructure and internal capabilities for leveraging advanced technologies to their fullest potential. This research not only enriches the academic discourse with fresh empirical insights but also offers valuable implications for financial managers, capital market regulators, and policymakers engaged in organisational digital transformation strategies.