Identifying contributory domain experts in online innovation communities-Reference-Cited by-同舟云学术

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Identifying contributory domain experts in online innovation communities

Published:2022-06-14 Issue: Volume: Page:
ISSN:1389-5753
Container-title:Electronic Commerce Research
language:en
Short-container-title:Electron Commer Res

Author:

Tang Hongting,Xu Xiaoying^ORCID,Li Zhihong,Qin Rui

Funder

National Natural Science Foundation of China

Soft Science Research Program of Guangdong Province

Natural Science Foundation of Guangdong Province

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10660-022-09561-9.pdf

Reference42 articles.

1. Von Hippel, E. (1986). Lead users: A source of novel product concepts. Management science, 32(7), 791–805. https://doi.org/10.1287/mnsc.32.7.791

2. Eisenberg, I. (2011). Lead-user research for breakthrough innovation. Research-Technology Management, 54(1), 50–58. https://doi.org/10.1080/08956308.2011.11657673

3. Faisal, M. S., Daud, A., Akram, A. U., et al. (2019). Expert ranking techniques for online rated forums. Computers in Human Behavior, 100, 168–176. https://doi.org/10.1016/j.chb.2018.06.013

4. Dehghan, M., Biabani, M., & Abin, A. A. (2019). Temporal expert profiling: With an application to T-shaped expert finding. Information Processing & Management, 56(3), 1067–1079. https://doi.org/10.1016/j.ipm.2019.02.017

5. Yang, Z. J., Lin, J., & Yang, Y. S. (2021). Identification of network behavioral characteristics of high-expertise users in interactive innovation: The case of forum autohome. Asia Pacific Management Review, 26(1), 11–22. https://doi.org/10.1016/j.apmrv.2020.06.002

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1. Identifying Valuable Knowledge Topics in Innovation Communities Using Innovation-LDA;網際網路技術學刊;2023-11

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