Journal of Resource Management and Decision Engineering 4 Serial Number 10 2025 03 12 Identification and Validation of Change Management Components in the Implementation of Management Information Systems in Governmental Organizations of Rasht City Identification and Validation of Change Management Components in the Implementation of Management Information Systems in Governmental Organizations of Rasht City 1 16 10.61838/kman.jrmde.4.1.5 EN Journal Article 2024 12 01 <p>The present study aimed to identify and validate the components of change management in the implementation of Management Information Systems (MIS) using an exploratory mixed-method research design. Participants in the model development phase included faculty members in the fields of Public Administration–Organizational Behavior, Information Systems, and Information Technology Management in higher education institutions, senior and middle managers of governmental organizations, and subject-matter experts familiar with the research topic. In the quantitative phase, the population consisted of all senior and middle managers and information systems and IT management experts in 15 selected governmental organizations in Rasht City, totaling 460 individuals. In the qualitative phase, 21 experts were selected using the snowball sampling method, while in the quantitative phase, 210 individuals were selected through stratified random sampling. For data analysis, the qualitative phase employed inductive qualitative content analysis based on the approach of Elo and Kyngäs (2008), involving three stages: open coding, categorization, and abstraction, using semi-structured interviews conducted and analyzed with Atlas.ti software. In the quantitative phase, structural equation modeling (SEM) was conducted using a 115-item questionnaire in Smart PLS software. To assess validity and reliability in the qualitative phase, measures such as acceptability (expert review), confirmability (expert auditing), and consensus method were used. In the quantitative phase, questionnaire validity was confirmed through face validity, content validity (CVI ranging from 0.85 to 1 and CVR from 0.60 to 1), and construct validity (convergent validity ranging from 0.539 to 0.662, and discriminant validity confirmed by higher inter-construct correlations). Questionnaire reliability was verified using three methods: factor loading coefficients (above 0.40), Cronbach’s alpha (ranging from 0.725 to 0.829), and composite reliability (ranging from 0.845 to 0.887). According to the qualitative findings, the final model includes six abstractions (dimensions) as follows: (1) Leadership and governance of digital transformation, (2) Organizational culture and readiness for change, (3) Technological infrastructure and capabilities of the organization, (4) Training and development of human capital skills, (5) Structural and regulatory support, and (6) Stakeholder interactions and inter-sectoral collaboration. These dimensions encompass 24 categories (components) and 115 criteria (indicators). The quantitative results confirmed and explained the research model components within a real statistical population.</p> https://journalrmde.com/index.php/jrmde/article/download/90/88