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Chen Liang

Not to be confused with: Liang Chen

Personal Details

First Name:Chen
Middle Name:
Last Name:Liang
Suffix:
RePEc Short-ID:pli1501

Affiliation

School of Business
University of Connecticut

Storrs, Connecticut (United States)
https://www.business.uconn.edu/
RePEc:edi:sbuctus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.
  2. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.
  3. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Ziru Li & Chen Liang & Yili Hong & Zhongju Zhang, 2022. "How Do On‐demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 239-258, January.

    Cited by:

    1. Sumit Agarwal & Shashwat Alok & Sergio Correia & Deepa Mani & Bernardo Morais, 2024. "Transportation Technology and Gentrification: Evidence from the entry of Ridesharing Services," Papers 2409.15462, arXiv.org.
    2. Jindong Pang & Shulin Shen, 2023. "Do ridesharing services cause traffic congestion?," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 56(2), pages 520-552, May.
    3. Feng, Xuan & Lin, Qinping & Jia, Ning & Tian, Junfang, 2024. "The actual impact of ride-splitting: An empirical study based on large-scale GPS data," Transport Policy, Elsevier, vol. 147(C), pages 94-112.
    4. Hao, Wu & Martin, Layla, 2022. "Prohibiting cherry-picking: Regulating vehicle sharing services who determine fleet and service structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    5. Yuan Liang & Bingjie Yu & Xiaojian Zhang & Yi Lu & Linchuan Yang, 2022. "The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago," Papers 2207.01793, arXiv.org, revised Feb 2023.
    6. Yingjie Zhang & Beibei Li & Sean Qian, 2023. "Ridesharing and Digital Resilience for Urban Anomalies: Evidence from the New York City Taxi Market," Information Systems Research, INFORMS, vol. 34(4), pages 1775-1790, December.
    7. Tian, Guang & Ewing, Reid & Li, Han, 2023. "Exploring the influences of ride-hailing services on VMT and transit usage – Evidence from California," Journal of Transport Geography, Elsevier, vol. 110(C).
    8. Xuekai Cen & Kanghui Ren & Yiying Cai & Qun Chen, 2023. "Designing Flexible-Bus System with Ad-Hoc Service Using Travel-Demand Clustering," Mathematics, MDPI, vol. 11(4), pages 1-27, February.

  2. Chen Liang & Zhan (Michael) Shi & T. S. Raghu, 2019. "The Spillover of Spotlight: Platform Recommendation in the Mobile App Market," Information Systems Research, INFORMS, vol. 30(4), pages 1296-1318, December.

    Cited by:

    1. Dominik Gutt & Jürgen Neumann & Wael Jabr & Dennis Kundisch, 2020. "The Fate of the App: Economic Implications of Updating under Reputation Resetting," Working Papers Dissertations 76, Paderborn University, Faculty of Business Administration and Economics.
    2. Na Wang & Shuangying Chen & Lei Xiao & Feng Fu, 2021. "The Sustainability of Superior Performance of Platform Complementor: Evidence from the Effects of Iterative Innovation and Visibility of App in iOS Platform in China," Sustainability, MDPI, vol. 13(7), pages 1-16, April.
    3. Zhan (Michael) Shi & T. S. Raghu, 2020. "An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity," Information Systems Research, INFORMS, vol. 31(2), pages 399-411, June.
    4. Davazdahemami, Behrooz & Kalgotra, Pankush & Zolbanin, Hamed M. & Delen, Dursun, 2023. "A developer-oriented recommender model for the app store: A predictive network analytics approach," Journal of Business Research, Elsevier, vol. 158(C).
    5. Xiang Hui & Meng Liu & Tat Chan, 2023. "Targeted incentives, broad impacts: Evidence from an E-commerce platform," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 493-517, December.
    6. Sun, Xiaochi & Cui, Xuebin & Sun, Yacheng, 2023. "Understanding the sequential interdependence of mobile app adoption within and across categories," International Journal of Research in Marketing, Elsevier, vol. 40(3), pages 659-678.
    7. Hongchang Wang & Benjamin Williams & Karen Xie & Wei Chen, 2024. "Quality Differentiation and Matching Performance in Peer-to-Peer Markets: Evidence from Airbnb Plus," Management Science, INFORMS, vol. 70(7), pages 4260-4282, July.
    8. Hongfei Li & Jing Peng & Xinxin Li & Jan Stallaert, 2023. "When More Can Be Less: The Effect of Add-On Insurance on the Consumption of Professional Services," Information Systems Research, INFORMS, vol. 34(1), pages 363-382, March.
    9. Shiyang Lai & Ningyuan Fan, 2021. "Understanding the attenuation of the accommodation recommendation spillover effect in view of spatial distance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(11), pages 1448-1453, November.
    10. Honka, Elisabeth & Seiler, Stephan & Ursu, Raluca, 2024. "Consumer search: What can we learn from pre-purchase data?," Journal of Retailing, Elsevier, vol. 100(1), pages 114-129.
    11. Isamar Troncoso & Lan Luo, 2023. "Look the Part? The Role of Profile Pictures in Online Labor Markets," Marketing Science, INFORMS, vol. 42(6), pages 1080-1100, November.
    12. Xiang Hui & Meng Liu & Tat Chan, 2022. "Targeted Incentives, Broad Impacts: Evidence from an E-commerce Platform," CESifo Working Paper Series 9894, CESifo.
    13. Sreejith Kumar Krishnakumar & Rajiv Kishore & Nallan C. Suresh, 2022. "Expansive or focused attention? An exploration–exploitation perspective on e‐Business systems and firm performance," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2038-2066, May.
    14. Mi Hyun Lee & Sang Pil Han & Sungho Park & Wonseok Oh, 2023. "Positive Demand Spillover of Popular App Adoption: Implications for Platform Owners’ Management of Complements," Information Systems Research, INFORMS, vol. 34(3), pages 961-995, September.

  3. Ni Huang & Gordon Burtch & Bin Gu & Yili Hong & Chen Liang & Kanliang Wang & Dongpu Fu & Bo Yang, 2019. "Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments," Management Science, INFORMS, vol. 65(1), pages 327-345, January.

    Cited by:

    1. Feng Zhu & Xinxin Li & Ehsan Valavi & Marco Iansiti, 2021. "Network Interconnectivity and Entry into Platform Markets," Information Systems Research, INFORMS, vol. 32(3), pages 1009-1024, September.
    2. Yipu Deng & Jinyang Zheng & Warut Khern-am-nuai & Karthik Kannan, 2022. "More than the Quantity: The Value of Editorial Reviews for a User-Generated Content Platform," Management Science, INFORMS, vol. 68(9), pages 6865-6888, September.
    3. Carlos Fernández-Loría & Maxime C. Cohen & Anindya Ghose, 2023. "Evolution of Referrals over Customers’ Life Cycle: Evidence from a Ride-Sharing Platform," Information Systems Research, INFORMS, vol. 34(2), pages 698-720, June.
    4. Hernandez-Arenaz, Iñigo, 2020. "Stereotypes and tournament self-selection: A theoretical and experimental approach," European Economic Review, Elsevier, vol. 126(C).
    5. Zaiyan Wei & Mo Xiao & Rong Rong, 2021. "Network Size and Content Generation on Social Media Platforms," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1406-1426, May.
    6. Yun Young Hur & Fujie Jin & Xitong Li & Yuan Cheng & Yu Jeffrey Hu, 2023. "Does Social Influence Change with Other Information Sources? A Large-Scale Randomized Experiment in Medical Crowdfunding," Information Systems Research, INFORMS, vol. 34(4), pages 1476-1492, December.
    7. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    8. Kimmy Wa Chan & Stella Yiyan Li & Jian Ni & John JianJun Zhu, 2021. "What Feedback Matters? The Role of Experience in Motivating Crowdsourcing Innovation," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 103-126, January.
    9. Marchenko, Maria & Sonnabend, Hendrik, 2022. "The Never Ending Book: The role of external stimuli and peer feedback in user-generated content production," Department of Economics Working Paper Series 320, WU Vienna University of Economics and Business.
    10. Dena Yadin & Inbal Yahav & Lior Zalmanson & Nira Munichor, 2024. "Resolving the Ethical Tension Between Creating a Civil Environment and Facilitating Free Expression Online: Comment Reordering as an Alternative to Comment Moderation," Journal of Business Ethics, Springer, vol. 192(2), pages 261-283, June.
    11. Wei, Zihan & Zhang, Mingli & Qiao, Tong, 2022. "Effect of personal branding stereotypes on user engagement on short-video platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 69(C).
    12. Ni Huang & Gordon Burtch & Yumei He & Yili Hong, 2022. "Managing Congestion in a Matching Market via Demand Information Disclosure," Information Systems Research, INFORMS, vol. 33(4), pages 1196-1220, December.
    13. Ni Huang & Jiayin Zhang & Gordon Burtch & Xitong Li & Peiyu Chen, 2021. "Combating Procrastination on Massive Online Open Courses via Optimal Calls to Action," Information Systems Research, INFORMS, vol. 32(2), pages 301-317, June.
    14. Tianshu Sun & Siva Viswanathan & Elena Zheleva, 2021. "Creating Social Contagion Through Firm-Mediated Message Design: Evidence from a Randomized Field Experiment," Management Science, INFORMS, vol. 67(2), pages 808-827, February.
    15. Heeseung Andrew Lee & Angela Aerry Choi & Tianshu Sun & Wonseok Oh, 2021. "Reviewing Before Reading? An Empirical Investigation of Book-Consumption Patterns and Their Effects on Reviews and Sales," Information Systems Research, INFORMS, vol. 32(4), pages 1368-1389, December.
    16. Ji Wu & Zhiqiang (Eric) Zheng & J. Leon Zhao, 2021. "FairPlay: Detecting and Deterring Online Customer Misbehavior," Information Systems Research, INFORMS, vol. 32(4), pages 1323-1346, December.
    17. Michael Rivera & Liangfei Qiu & Subodha Kumar & Tony Petrucci, 2021. "Are Traditional Performance Reviews Outdated? An Empirical Analysis on Continuous, Real-Time Feedback in the Workplace," Information Systems Research, INFORMS, vol. 32(2), pages 517-540, June.
    18. Gordon Burtch & Qinglai He & Yili Hong & Dokyun Lee, 2022. "How Do Peer Awards Motivate Creative Content? Experimental Evidence from Reddit," Management Science, INFORMS, vol. 68(5), pages 3488-3506, May.

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