Novel Integrated Technology Absorption and Deployment Assessment Model for Digital Transformation: A Managerial Framework for Production Companies

Abstract. Digital transformation at the macro level has been evolving for several decades, with significant acceleration driven by the internet, smartphones, the COVID-19 pandemic, and the emergence of Generative Artificial Intelligence. This raises the question of whether, and to what extent, transformation is taking place at the firm level. While some changes can be implemented using internal resources, successful digital transformation often requires acquiring new technologies and knowledge from external sources.
This study addresses the research question: How can technology adoption be effectively managed to support digital transformation? It proposes a conceptual framework for technology adoption in manufacturing companies by synthesizing existing models. A qualitative study, comprising a literature review and expert interviews, identifies key managerial practices across various stages of technology acquisition. These practices are then evaluated using the Analytic Hierarchy Process (AHP) to determine their relative importance.
The framework is validated through a survey of manufacturing firms, leading to the development of a readiness assessment method that evaluates companies’ preparedness for technology adoption in the context of digital transformation. The results contribute to a clearer conceptualization of digital transformation at the firm level and offer practical guidance for managers and policymakers aiming to foster effective technology integration in industrial settings.