Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)

<Previous Article In Volume
Next Article In Volume>

Risk Identification and Evaluation of Crowdsourcing Innovation Projects Based on the Improved FMEA Model

Authors
Jian Lu1, Xiang Su1, *, Yajing Diao1
1School of Economics and Management, Jiangsu University of Science and Technology, No. 2 Mengxi Road, Zhenjiang, 212003, Jiangsu, People’s Republic of China
*Corresponding author. Email: susoft@just.edu.cn
Corresponding Author
Xiang Su
Available Online 9 September 2023.
DOI
10.2991/978-2-38476-092-3_52How to use a DOI?
Keywords
Crowdsourcing innovation project; risk identification; FMEA model
Abstract

Crowdsourcing is an innovative model for enterprises acquiring external knowledge resources to achieve innovative targets. But it raises a lot of risks during the project operation process for unorganized, voluntary, liberal, purposive, information asymmetry, etc. This article constructs a crowdsourcing innovation project risk factors identification system by combing the operating process of the crowdsourcing and Social-technical system theory, including crowdsourcing participants risk, crowdsourcing innovative model risk, participants’ relationship risk, crowdsourcing innovation project demand risk, technical complexity risk, and task structure risk. The failure modes of crowdsourcing innovation projects are assessed by the fuzzy evidential reasoning (FER) approach and ranked by grey theory. Internet marketing management website development project from EPWK (www.epwk.com) is taken as the example for empirical research. It is prospective for the achievement of this article could provide decision support for enterprises to effectively develop crowdsourcing innovative models, reduce the risks of crowdsourcing innovation, and help crowdsourcing platforms develop sustainably.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
9 September 2023
ISBN
978-2-38476-092-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-092-3_52How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jian Lu
AU  - Xiang Su
AU  - Yajing Diao
PY  - 2023
DA  - 2023/09/09
TI  - Risk Identification and Evaluation of Crowdsourcing Innovation Projects Based on the Improved FMEA Model
BT  - Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023)
PB  - Atlantis Press
SP  - 384
EP  - 401
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-092-3_52
DO  - 10.2991/978-2-38476-092-3_52
ID  - Lu2023
ER  -