Reproduce “A Systematic Review of Digital Transformation Literature (2013-2021) and the development of an overarching apriori model to guide future research” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Mekhala Egodawele, Darshana Sedera, Vinh Bui
An extensive systematic literature review of Digital Transformation literature from 2013 to 2021 culminates in the development of the RC3O (Resources-Capabilities-Considerations-Contexts-Outcomes) nomological net, offering an overarching theoretical model that clarifies the field's fragmented concepts and guides future research.
Key insights
- Digital Transformation research experienced a dramatic surge from 2015, with publications peaking in 2020-2021, influenced by global events like the pandemic.
- Four dominant theoretical perspectives, including Resource-Based View and Dynamic Capabilities Theory, consistently underpin existing DT literature.
- The RC3O framework offers an integrated input-process-output view, categorizing key elements such as digital expertise, resource availability, economic/social considerations, firm size, and both positive/negative outcomes of DT.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.