Journal article
The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities
Journal of the Association for Information Science and Technology, Vol.73(3), pp.376-392
03/2022
DOI: 10.1002/asi.24555
Abstract
Establishing open innovation communities has evolved as an important product innovation and development strategy for companies. Yet, the success of such communities relies on the successful implementation of many user-submitted ideas. Although extant literature has examined the impact of user experience and idea characteristics on idea implementation, little is known from the information input perspective, for example, feedback. Based on the information overload theory and knowledge content framework, we propose that the amount and types of feedback content have different effects on the likelihood of subsequent idea implementation, and such effects depend on the level of users' success experience. We tested the research model using a panel logistic model with the data of MIUI Forum. The study results revealed that the amount of feedback has an inverted U-shaped effect on idea implementation, and such effect is moderated by a user's past success. Moreover, the type of feedback content (cost and benefit-related feedback and functionality-related feedback) positively affects idea implementation, and a user's past success positively moderated the above effects. Finally, we discuss the theoretical and practical implications, limitations of our research, and suggestions for future research.
Details
- Title: Subtitle
- The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities
- Creators
- Qian Liu - Central University of Finance and EconomicsZhengfa Yang - Central University of Finance and EconomicsXiaofang Cai - Southern Univ Sci & Technol, Coll Business, Shenzhen, Peoples R ChinaQianzhou Du - Nanjing UniversityWeiguo Fan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of the Association for Information Science and Technology, Vol.73(3), pp.376-392
- Publisher
- Wiley
- DOI
- 10.1002/asi.24555
- ISSN
- 2330-1635
- eISSN
- 2330-1643
- Number of pages
- 17
- Grant note
- 01201910034034 / Beijing Outstanding Young Scientist Program 71872149 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC)
- Language
- English
- Date published
- 03/2022
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380491302771
Metrics
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