نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
This research aimed to design a new model for auditing management performance based on the actor network approach and focusing on complex stakeholder interactions. The mixed methodology included a qualitative part based on grounded theory with the analysis of in-depth interviews with 17 audit experts (including internal auditors with at least ten years of experience, senior financial managers, and certified public accountants) in 2025 using snowball sampling, and a quantitative part using a researcher-made questionnaire (developed based on qualitative findings) and structural equation modeling on data from 265 of the statistical population. Qualitative data were analyzed using the Strauss and Corbin method. Qualitative findings led to the identification of five main categories including causal, contextual, intervening conditions, strategies, and consequences, the core of which is the network interaction between human and non-human actors. Quantitative analyses showed that causal factors have the greatest impact as prerequisites, contextual factors in second place, and intervening factors were identified as key barriers. This research provides a coherent model that explains the complexities of interaction and helps optimize surveillance systems.
کلیدواژهها English