A Topic Modeling Approach to Categorizing API Customer Value Propositions
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Companies increasingly use Application Programming Interfaces (APIs) to create new value propositions in the digital world. However, there is little knowledge about the type of value propositions that public APIs enable companies to provide. Thus, this study analyzes data from 13,829 API descriptions published in programmableweb.com to: (i) identify and categorize current and emerging API customer value propositions, (ii) analyze the evolution of API customer value propositions, and (iii) showcase Topic Modeling as a feasible technique to study API customer value propositions. This research contributes towards API service systems research by: (i) identifying six categories of API customer value propositions, and (ii) revealing a long tail distribution of API customer value propositions that is flattening.
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Copyright © 2016 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2016
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amin-atopicmodelingapproachtocategorizingapicustomer.pdf | 2023-05-05 | Public | Download |