Abstract
AbstractWhile the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.
Funder
Bundesministerium für Wirtschaft und Energie
Ministerium für Innovation, Wissenschaft und Forschung des Landes Nordrhein-Westfalen
Universität Paderborn
Publisher
Springer Science and Business Media LLC
Subject
Management of Technology and Innovation,Marketing,Computer Science Applications,Economics and Econometrics,Business and International Management
Reference131 articles.
1. Alexander, C. (1964). Notes on the synthesis of form (Vol. 5). Harvard University Press.
2. Almeida, J., Barbosa, L., Pais, A., & Formosinho, S. J. (2007). Improving hierarchical cluster analysis: A new method with outlier detection and automatic clustering. Chemometrics and Intelligent Laboratory Systems, 87(2), 208–217. https://doi.org/10.1016/j.chemolab.2007.01.005
3. Antons, D., & Breidbach, C. F. (2018). Big data, big insights? Advancing service innovation and design with machine learning. Journal of Service Research, 21(1), 17–39. https://doi.org/10.1177/1094670517738373
4. Asadullah, A., Faik, I., & Kankanhalli, A. (2018). Evolution mechanisms for digital platforms: A review and analysis across platform types. Proceedings of the 39th International Conference on Information Systems (ICIS).
5. Athanas, P. M., & Abbott, A. L. (1995). Real-time image processing on a custom computing platform. Computer, 28(2), 16–25. https://doi.org/10.1109/2.347995
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