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Crowd-Feedback in Information Systems Development: A State-of-the-Art Review

Haug, Saskia; Mädche, Alexander

Abstract (englisch):

Crowd-feedback is receiving increasing attention in research and practice as a contemporary approach for involving users in information systems development. Thereby, feedback on various aspects of an information system is collected from a non-expert crowd using designated crowd-feedback systems that are able to collect comprehensive and reliable feedback at scale. However, the current body of knowledge on crowd-feedback is scattered and lacks a structured form in which research on crowd-feedback can be classified. To address this gap, this article provides a comprehensive overview of the state-of-the-art of existing crowd-feedback research by: (1) conducting a systematic literature review, (2) developing a morphological box to conceptualize crowd-feedback, and (3) performing a cluster analysis for identifying research streams on crowd-feedback. Analyzing 40 articles, our key contribution resides in the synopsis of the existing crowd-feedback literature. Based on our review, we suggest four research avenues to guide researchers in investigating crowd-feedback in the future.

Postprint §
DOI: 10.5445/IR/1000139669
Veröffentlicht am 13.12.2022
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wirtschaftsinformatik und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 12.12.2021
Sprache Englisch
Identifikator ISBN: 978-1-7336325-9-1
KITopen-ID: 1000139669
Erschienen in ICIS 2021 Proceedings
Veranstaltung 42nd International Conference on Information Systems (ICIS 2021), Austin, TX, USA, 12.12.2021 – 15.12.2021
Verlag Association for Information Systems (AIS)
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