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

In: State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM)

Author

Listed:
  • Frederick K. Johnson

    (Claremont Graduate University, Center for Information Systems and Technology)

  • Chinazunwa C. Uwaoma

    (Claremont Graduate University, Center for Information Systems and Technology)

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.

Suggested Citation

  • Frederick K. Johnson & Chinazunwa C. Uwaoma, 2023. "PLS-Based Evaluation of a Digital Transformation Adoption Model for Biopharma Manufacturing," Springer Proceedings in Business and Economics, in: Lăcrămioara Radomir & Raluca Ciornea & Huiwen Wang & Yide Liu & Christian M. Ringle & Marko Sarstedt (ed.), State of the Art in Partial Least Squares Structural Equation Modeling (PLS-SEM), pages 183-192, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-34589-0_19
    DOI: 10.1007/978-3-031-34589-0_19
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