Date of Award
Spring 2023
Degree Type
Open Access Dissertation
Degree Name
Information Systems and Technology, PhD
Program
Center for Information Systems and Technology
Advisor/Supervisor/Committee Chair
Chinazunwa Uwaoma
Dissertation or Thesis Committee Member
Lorne Olfman
Dissertation or Thesis Committee Member
Samir Chatterjee
Terms of Use & License Information
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Rights Information
© 2022 Frederick K. Johnson
Keywords
Biopharma manufacturing, Digital transformation, Social unrest, Consumer behavior, Biopharma
Subject Categories
Health Information Technology
Abstract
In the current climate of economic uncertainty and social unrest, biopharmaceutical (biopharma) companies face the challenges of changes in consumer behavior, cyber threats, and technological advancement. At the same time, their top priorities are global market growth, strengthening R&D, and undergoing digital transformation (Dx). Given these developments, biopharma organizations must choose a Dx framework as they engage in the digital transformation of their businesses in this high-stakes environment. However, there are significant problems with existing Dx frameworks. Most models are generalized frameworks designed to sell consulting services. Some focus on the enterprise or the manufacturing operations, but not both, and emphasize technology over strategies to address patient needs. However, the biggest problem is that the most commonly used frameworks are high-level models that need to provide guiding pathways for practitioners to follow. This study explores the evolution of the life science industry and explicitly addresses the challenges of adopting effective Dx frameworks in the biopharma manufacturing sector. Using a design science research (DSR) approach combined with Kumar's (2012) seven modes of the design innovation process, the study leverages existing research to determine the critical dimensions of any Dx process. After cross-referencing up-to-date research, the study offers a novel DSR Dx framework covering the enterprise and manufacturing landscapes to provide IT leaders with tools to assist in their Dx process.
ISBN
9798379899561
Recommended Citation
Johnson, Frederick K.. (2023). A Digital Transformation Framework for Biopharma Manufacturing. CGU Theses & Dissertations, 537. https://scholarship.claremont.edu/cgu_etd/537.
