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Leveraging Bi-Stacked ANN for Organizational Values in the Context of Digital Transformation
Abstract
The digital age has brought unprecedented opportunities for organizations to innovate and transform their operations, emphasizing the importance of measuring digital maturity and organizational values. This study leverages a bi-stacked Artificial Neural Network (ANN) architecture to measure a comprehensive digital index, integrating insights from people management values. The dataset, collected from 132 companies, was preprocessed and refined through feature extraction, including parameters such as the Relative Importance Value (RIV) for future business impact and the Rate of Satisfaction Value (RSV) with people management practices, quantified using a Likert scale. The bi-stacked ANN, designed with multiple layers and dropout mechanisms, processed these features to generate an accurate and reliable digital index. By combining advanced machine learning techniques and organizational value assessments, the proposed approach provides a scalable framework for understanding digital readiness while emphasizing the critical role of people management in driving business transformation
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