Journal of Resource Management and Decision Engineering 4 Serial Number 10 2025 03 02 Application of the Sterling-Darling Technique in Designing an Organizational Whistleblowing Model (Systematic Disclosure) in the Administrative System Application of the Sterling-Darling Technique in Designing an Organizational Whistleblowing Model (Systematic Disclosure) in the Administrative System 1 10 10.61838/kman.jrmde.4.1.9 EN Journal Article 2024 11 24 <p>The present study was conducted with the aim of designing a model of organizational whistleblowing (systematic disclosure) within the administrative system. Participants in this research included university professors and management experts in the municipality who had at least ten years of teaching experience and held a master’s degree or higher. The participants were selected using purposive sampling, based on the criterion of having teaching experience at the elementary education level. A total of 22 experts and specialists took part in the sampling process. The data collection tool in the field section was a semi-structured interview, which continued with participants until theoretical saturation was achieved. For the analysis of qualitative data, thematic analysis was employed based on the Attride-Stirling framework. To assess reliability, Holsti’s coefficient, Scott’s Pi coefficient, Cohen's Kappa index, and Krippendorff’s Alpha were utilized, all of which were confirmed. The software ATLAS.ti was used for the thematic analysis section. The results of the factor analysis show that among the 108 existing indicators (items), 32 basic themes were identifiable, which were organized into five organizing themes. Based on the findings, the basic, organizing, and ultimately global themes were identified. The identified organizing themes included individual components (psychological, cognitive, personality, behavioral, emotional, motivational, ethical, and experiential dimensions), organizational components (cultural, structural, managerial, human resources, and executive dimensions), legal and institutional components (legal, institutional, supportive, transparency and accountability, and preventive dimensions), cultural and social components (social, educational and promotional, communicative, psychosocial, normative and social valuation, and external impact dimensions), and technological components (information technology infrastructure, data analysis systems, cybersecurity, advanced reporting tools, traceability and tracking of reports, blockchain technologies, process automation, and system management and support).</p> https://journalrmde.com/index.php/jrmde/article/download/100/94