| Autor: |
SungYong Um, Templeton, Gary, Kang, DaeYoup Martin |
| Předmět: |
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| Zdroj: |
Proceedings of the Americas Conference on Information Systems (AMCIS); 2022, p1-5, 5p |
| Abstrakt: |
A platform ecosystem allows developers to leverage the software codebase innovations of others. Codebase (re)combination extends the range of opportunities for product innovation aimed at satisfying the functional needs of users. Despite facilitating extraordinary innovation gains among developers, prior research on how outside developers can more efficiently develop digital ecosystem resident products has not been addressed. We emphasize two layered properties of design features that may increase digital product innovation: 1) the dependencies of functions and 2) the dependencies of topical representation expressed in product descriptions. We analyze the source codes of R platform ecosystem packages using deep learning algorithms (i.e., Struc2Vec and Doc2Vec) to capture how layered software properties change as the dynamics of the R platform ecosystem increases in each month. We found a positive relationship between software codebase usage and topical representation and digital product design success. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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