Resilient leadership model for administrators of art colleges in Beihai, Guangxi Province.

Abstract

The objectives of this research were: (1) to determine the components and indicators of resilient leadership for administrators of art colleges in Beihai, Guangxi Province, and (2) to propose a resilient leadership model for administrators of art colleges in Beihai, Guangxi Province. This research employed a quantitative approach. The population comprised 2,530 administrators and teachers from art colleges in Beihai, Guangxi Province, People's Republic of China. A stratified random sampling method was used to select a sample of 396 participants using G*Power. The data collection instrument was a five-point rating scale questionnaire. Descriptive statistics and Confirmatory Factor Analysis (CFA) were utilized for data analysis. The research findings revealed that: (1) the components and indicators were identified through a theoretical framework, consisting of five components and 15 indicators, namely: adaptability and control, mindfulness, interpersonal relationships and support, organizational innovation, and learning and professional growth; and (2) the resilient leadership model developed for administrators of art colleges demonstrated a very good fit with the empirical data. The model fit indices were as follows: Chi-square (χ²) = 63.85, p-value = 0.96, Goodness of Fit Index (GFI) = 0.98, Adjusted Goodness of Fit Index (AGFI) = 0.98, Comparative Fit Index (CFI) = 0.99, and Root Mean Square Error of Approximation (RMSEA) = 0.01, all meeting the specified criteria. The key factors showed factor loadings ranging from 0.65 to 0.85. 3.5.Incorporating Emerging Challenges: Future research could examine how resilient leadership can address emerging global challenges, such as digital transformation, climate change, or equity in education. These studies could expand the relevance and applicability of the model to broader contexts.