DEVELOPING AN INTEGRATED COMPETENCY MODEL FOR ENHANCING ORGANIZATIONAL ADAPTATION AND DIGITAL TRANSFORMATION EXCELLENCE
Keywords:
Cluster Analysis, Personnel Attributes, Digital Transformation, Workforce DevelopmentAbstract
The transition to the digital era has profoundly reshaped organizational structures, requiring personnel to adapt in digital competencies, technological fluency, and cognitive dispositions. As a result, organizations must develop human resource strategies that genuinely address individual differences among personnel. This study aimed to conceptualize an integrative framework encompassing key attributes essential for personnel adaptation and organizational transformation in the context of digitalization. The framework was developed from a cluster analysis based on four core areas comprising 17 dimensions: 1) Digital Knowledge and Skills, 2) Attitudes/Achievement Motivation, 3) Practical Abilities, and
4) Personalized Learning. The study used cluster analysis techniques to generate typologies of personnel profiles, which informed the development of targeted intervention strategies. These strategies consolidated skill sets, belief systems, attitudinal orientations, and learning behaviors into a coherent structure to guide strategic capacity building. Findings indicated that personnel could be systematically categorized into subgroups exhibiting statistically significant differences in potential and developmental needs. Customized training interventions designed for each subgroup effectively addressed these differentiated characteristics, demonstrating their applicability for individualized or group-specific development planning aligned with organizational digital transformation strategies. The study's outcomes hold practical significance for organizational leaders and human resource practitioners in shaping evidence-based training policies and designing context-sensitive development models to enhance personnel adaptability and advance digital organizational transformation sustainably. Ultimately, the study contributes to improving workforce adaptability and driving sustainable digital transformation within organizations.
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