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Building a User Profiling Model for Product Complaints in Open Innovation Communities: A Digital Transformation Perspective
DOI: https://doi.org/10.62381/ACS.EMIS2025.01
Author(s)
Shizhuo Pan*
Affiliation(s)
School of Management, Zhengzhou University, Zhengzhou, China *Corresponding Author
Abstract
Open innovation communities serve as crucial platforms for enterprises undergoing digital transformation, facilitating the integration of internal and external innovation resources to enhance efficiency. The increasing diversity and value of user feedback highlight the need for research on transforming dispersed product complaints into valuable innovation resources. This study develops a user profiling model for product complaints within open innovation communities, using the MIUI community as a case study. User complaints are categorized into four themes: positioning deviation, strap material, activity detection, and health monitoring. This approach aims to uncover diverse needs and preferences hidden in user complaints, providing insights for enterprises to better align product innovation with user expectations.
Keywords
Digital Transformation; Open Innovation Community; User Complaint Profiling; K-Modes
References
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