The influence of user feedback on complementary innovation in platform ecosystems: NLP evidence on the value of multihoming


Hoffmann, Philipp ; Shmagina, Veronika ; Halckenhäußer, André ; Lüker, Nele


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URL: https://hdl.handle.net/10125/103361
Additional URL: https://www.researchgate.net/publication/364344165...
URN: urn:nbn:de:bsz:180-madoc-634111
Document Type: Conference or workshop publication
Year of publication: 2023
Book title: Proceedings of the 56th Annual Hawaii International Conference on System Sciences
Page range: 5994-6003
Conference title: HICCS 2023, Hawaii International Conference on System Sciences
Location of the conference venue: Maui, HI
Date of the conference: 03.-06.01.2023
Publisher: Bui, Tung X.
Place of publication: Honolulu, HI
Publishing house: University of Hawaii at Manoa
ISBN: 978-0-9981331-6-4
Related URLs:
Publication language: English
Institution: Business School > ABWL u. Wirtschaftsinformatik I (Heinzl 2002-)
Außerfakultäre Einrichtungen > Institut für Enterprise Systems (InES)
Pre-existing license: Creative Commons Attribution, Non-Commercial, No Derivatives 4.0 International (CC BY-NC-ND 4.0)
Subject: 330 Economics
Abstract: We study how user feedback affects innovation of multihomed applications within and across platform ecosystems. Therefore, we conduct a quantitative NLP based case study. Our sample consists of 10 multihomed applications with more than 325,000 user reviews on Apple’s iOS and Google’s Android platform between January and March 2021. We analyze how user reviews translate into functional feature releases of the selected applications within and across platforms. We report three findings. First, we find that about 61% of the functional feature improvements on both platforms were previously demanded by users in the form of user feedback. Second, we show that user feedback of iOS users is more likely to be incorporated compared to Android users’ feedback. Finally, we observe that about 10% of feature releases are inspired by cross-platform feedback, providing initial evidence that user feedback from multihoming applications might stimulate cross-platform innovation and enhance the applications’ quality and innovativeness.




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