PLS-Based Evaluation of a Digital Transformation Adoption Model for Biopharma Manufacturing

Frederick K. Johnson () and Chinazunwa C. Uwaoma ()
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Frederick K. Johnson: Claremont Graduate University, Center for Information Systems and Technology
Chinazunwa C. Uwaoma: Claremont Graduate University, Center for Information Systems and Technology

A chapter in State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), 2023, pp 183-192 from Springer

Abstract: 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 as digital transformation (DX) strategies. One critical aspect of achieving success is determining which digital transformation framework (DTF) meets the demands of a biopharma manufacturing environment. This chapter addresses the adoption problems by proposing an adoption model designed to assist IT leaders and practitioners choose the best framework. We assessed the proposed structural equation model (SEM) using the partial least squares (PLS) analysis. The results explain how biopharma practitioners use a DTF to support their roles while achieving their business goals.

Keywords: Digital transformation frameworks; Digital transformation; Technology adoption model; Biopharma manufacturing; PLS-SEM; Pharma 4.0; SmartPLS (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-34589-0_19

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DOI: 10.1007/978-3-031-34589-0_19

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