Comparative Study of Digital Transformation in Small and Medium Enterprises: Traditional PDCA Model vs. Modern Octopus Organization Model Change Management Approaches
This study analyzes a well-established managerial framework for implementing Industry 4.0 in small-to-medium-sized enterprises (SMEs), focusing on the utilization of the conventional PDCA (Plan-Do-Check-Act) cycle concerning one of the sixteen critical success factors (CSFs). It aims to identify the most effective change management model for SMEs, providing a comparative evaluation of generative AI applications in relation to proprietary data within innovative change management methodologies, including the Octopus Organization Model, to enhance organizational transformation and elevate employee satisfaction in operational processes. The problem statement highlights a crucial success aspect with the integration of AI to enhance knowledge and skills in driving digital transformation. This encompasses meeting organizational standards for employee training and development, securing support from senior management, ensuring access to technical expertise and resources, prioritizing user-friendliness, aligning initiatives with organizational objectives, and assessing the impact of trading partners. This study employed a quantitative methodology and utilized a survey approach to examine the impact of change management practices in SMEs on employee satisfaction through a comparative analysis of the traditional PDCA (Plan-Do-Check-Act) method and the contemporary Octopus Organization Model. The study filled a void by contrasting the implementation of the Octopus Organization Model with PDCA approaches in change management for SMEs.
Keywords: Change Management, Organizational Development, Digital Transformation Process
