A Digital Transformation Adoption Model for Biopharma Manufacturing

Abstract

Biopharmaceutical (biopharma) companies in the United States are actively transforming their manufacturing operations, given the devastating effects of the COVID-19 pandemic. This crisis-driven transformation comes from Pharma 4.0 initiatives executed as digital transformation (Dx) strategies. One critical aspect of achieving transformation success is determining which digital transformation framework (DTF) can effectively meet the demands of the biopharma manufacturing environment. Based on a literature review, this study addresses the DTF selection problem by proposing an adoption model to assist biopharma manufacturing IT leaders and practitioners in choosing the best DTF. The study uses SmartPLS 4 to assess the proposed Structural Equation Model (SEM). Given the results, perceived ease of use shows the most significant medium impact on intention to use. The research findings also explain how biopharma IT leaders and practitioners use digital transformation frameworks and which factors are important in achieving their business objectives.

Keywords: Digital transformation frameworks, technology adoption model, biopharma manufacturing, PLS-SEM, Pharma 4.0, SmartPLS 4