Schmid, Isabel and Woerner, Janik and Leist, Susanne (2022) Automated identification of different lead users regarding the innovation process. ELECTRONIC MARKETS, 32 (2). pp. 945-970. ISSN 1019-6781, 1422-8890
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Lead users are often established in an organizational innovation process to attenuate the difficulties a company faces, such as high costs or the obscurity of customers' needs. But to benefit from these lead users a major challenge is to characterize and identify them especially in the fast-moving world of social media. Therefore, we aim to design a tool to identify lead users automatically for the two innovation phases ("Idea generation" and "Development") by combining different approaches such as social network analysis, topic modeling and sentiment analysis. Thus, we consulted the design science approach and applied our artifact to 11,481 contributions of an online digital platform. The technical realization of the six different characteristics and their respective weighting according to the different phases of the innovation process resulted in different lead users and showed the necessity of distinguishing between them. Our results were evaluated and confirmed by the identified lead users and an expert. Hence, our investigation contributes to both practice and theory (kernel theories and design theory) alike.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | DESIGN SCIENCE RESEARCH; SOCIAL MEDIA; INFORMATION; PRODUCT; COMMUNITIES; PLATFORMS; CREATION; NETNOGRAPHY; PERSPECTIVE; ANATOMY; Lead user; Innovation process; Digital platforms |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) Informatics and Data Science > Lehrstuhl für Wirtschaftsinformatik III - Business Engineering (Prof. Dr. Susanne Leist) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 27 Nov 2023 13:31 |
| Last Modified: | 27 Nov 2023 13:31 |
| URI: | https://pred.uni-regensburg.de/id/eprint/56821 |
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