Yong Jin

Prof. Dr. Yong Jin

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 June 2018 in Production and Operations Management
Verified
Journal Article
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SLShengli Li
Shengli Li
HCHsing Kenneth Cheng
Hsing Kenneth Cheng
YJYong Jin
Yong Jin

3 July 2021 in Journal of Management Information Systems
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Journal Article
Closed access
TCTao Chen
Tao Chen
HCHsing Kenneth Cheng
Hsing Kenneth Cheng
YJYong Jin
Yong Jin
SLShengli Li
Shengli Li
LQLiangfei Qiu
Liangfei Qiu
Innovation and competition are two major pillars in the information technology (IT) industry. In this paper, we examine the causal relationship between product market competition and innovations in the IT industry. We measure the innovations from both the quantity (number of patents) and the quality (number of non-self citations) perspectives. Based on the Herfindahl-Hirschman Index and natural experiments, we find robust evidence that the competition has a positive effect on the innovations of the IT industry. Specifically, after the exogenous shock to the market (import tariff cuts and thus increased industry competition), the number of patents per IT firm increases by 27.3 percent, and the number of non-self citations per IT firm increases by 38.2 percent on average. The effects are more pronounced in the more competitive sectors. Our study highlights the importance of the competition in the IT industry and suggests that the positive effect of competition on innovation in the IT context is likely to be driven by the parallel search effect. Our findings contribute to the recent policy debate and suggest that reducing import barriers may bring important welfare gains through innovations in the IT industry.

1 September 2020 in Journal of the Association for Information Systems
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Journal Article
Open access
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YJYong Jin
Yong Jin
CDChao Ding
Chao Ding
YDYang Duan
Yang Duan
HCHsing Cheng
Hsing Cheng
Small and medium-sized businesses as well as individuals are increasingly using online crowdfunding platforms to raise funds in the fintech world. Creators of crowdfunding projects depend heavily on social networks like Facebook to publicize their projects. Social media activities such as “liking” on Facebook bring massive traffic to crowdfunding projects and attract contributions. Using data collected from Facebook and Kickstarter, our empirical tests demonstrate that social media activities significantly and positively impact the likely success of crowdfunding. Our duration model analysis reveals that the impact of social media activities on crowdfunding outcomes follows a J-curve in the temporal space. We explain the J-curve by identifying two important effects of social media activities throughout the crowdfunding process: a quality-signaling effect in the opening period and a herding effect in the closing period. Especially in the “last mile,” there is a strong herding effect that helps crowdfunding projects reach their respective fundraising goals. Our results offer useful contributions to the literature and suggestions for practitioners.

1 July 2019 in International Journal of Production Economics
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Journal Article
Closed access
BNBaozhuang Niu
Baozhuang Niu
LCLei Chen
Lei Chen
YLYaoqi Liu
Yaoqi Liu
YJYong Jin
Yong Jin

30 April 2008 in Clean Technologies and Environmental Policy
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Journal Article
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YJYong Jin
Yong Jin

31 May 2017 in Chemical Engineering & Technology
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Journal Article
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LYLing Yang
Ling Yang
DADi An
Di An
TWTing-Jie Wang
Ting-Jie Wang
CKChengyou Kan
Chengyou Kan
YJYong Jin
Yong Jin