Modelo para autoavaliação de maturidade no processo de transformação digital

Abstract

The rapid advancement of new technologies, coupled with a market environment characterized by volatility, uncertainty, complexity, and ambiguity, necessitates agile business transformations to sustain organizational viability. In response to this context, this study proposes a model for self-assessment of maturity in the digital transformation process, aiming to guide the definition of necessary actions for sustainable evolution. Anchored in an extensive literature review and the identification of key stages in the digital transformation process, the model incorporates a structure of indices and indicators for self-assessment and leverages the Fuzzy-TOPSIS method to reduce uncertainties in data processing, while also establishing triggers for model reapplication. The model was further tested in various companies to validate its effectiveness and adaptability across diverse organizational contexts. Consequently, the primary contribution of this research is the provision of a practical model that empowers companies to evaluate their own maturity and design a strategic roadmap to achieve the desired maturity level in a robust and structured manner.