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Beibei Li

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.

Working papers

  1. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.

    Cited by:

    1. Maldonado, Josué & Jain, Apollo & Castellanos, Sergio, 2024. "Assessing the impact of electric vehicles in Mexico’s electricity sector and supporting policies," Energy Policy, Elsevier, vol. 191(C).

  2. Anindya Ghose & Xitong Guo & Beibei Li & Yuanyuan Dang, 2021. "Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment," Papers 2102.05506, arXiv.org, revised Feb 2021.

    Cited by:

    1. Baudier, Patricia & Kondrateva, Galina & Ammi, Chantal & Chang, Victor & Schiavone, Francesco, 2023. "Digital transformation of healthcare during the COVID-19 pandemic: Patients’ teleconsultation acceptance and trusting beliefs," Technovation, Elsevier, vol. 120(C).
    2. Chen Chen & Dylan Walker, 2023. "A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Question-and-Answer Platforms," Information Systems Research, INFORMS, vol. 34(3), pages 867-889, September.
    3. Niu, Baozhuang & Xu, Haotao & Dai, Zhipeng, 2022. "Check Only Once? Health Information Exchange between Competing Private Hospitals," Omega, Elsevier, vol. 107(C).
    4. Almasri Ammar, 2022. "The Users’ Behavioral Intention to use Mobile Health-Tech Application to Prevent the Spreading of Coronavirus," South East European Journal of Economics and Business, Sciendo, vol. 17(2), pages 18-33, December.
    5. Chen‐Nan Liao & Ying‐Ju Chen, 2021. "Design of Long‐Term Conditional Cash Transfer Program to Encourage Healthy Habits," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 3987-4003, November.
    6. Yi Fu & Chao Xu & Sung-Eui Cho, 2024. "Technology Characteristics for Sustainable Service Development in Intelligent Elderly Care Services," Sustainability, MDPI, vol. 16(23), pages 1-20, December.
    7. Pal, Shounak & Biswas, Baidyanath & Gupta, Rohit & Kumar, Ajay & Gupta, Shivam, 2023. "Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach," Journal of Business Research, Elsevier, vol. 156(C).

  3. Anindya Ghose & Beibei Li & Meghanath Macha & Chenshuo Sun & Natasha Ying Zhang Foutz, 2020. "Trading Privacy for the Greater Social Good: How Did America React During COVID-19?," Papers 2006.05859, arXiv.org.

    Cited by:

    1. Chenshuo Sun & Panagiotis Adamopoulos & Anindya Ghose & Xueming Luo, 2022. "Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model," Information Systems Research, INFORMS, vol. 33(2), pages 429-445, June.

Articles

  1. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.

    Cited by:

    1. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
    2. Xiyang Hu & Yan Huang & Beibei Li & Tian Lu, 2022. "Uncovering the Source of Machine Bias," Papers 2201.03092, arXiv.org.
    3. Toni Greif & Nikolai Stein & Christoph M. Flath, 2023. "Information Value Analysis for Real-Time Silo Fill-Level Monitoring," Interfaces, INFORMS, vol. 53(4), pages 283-294, July.
    4. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.
    5. Kim, Youngsoo, 2022. "Taxi driver’s learning curves: An empirical analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 166(C), pages 1-13.

  2. Mi Zhou & Dan Geng & Vibhanshu Abhishek & Beibei Li, 2020. "When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior," Information Systems Research, INFORMS, vol. 31(1), pages 176-197, March.

    Cited by:

    1. Neslin, Scott A., 2022. "The omnichannel continuum: Integrating online and offline channels along the customer journey," Journal of Retailing, Elsevier, vol. 98(1), pages 111-132.
    2. Hyeokkoo Eric Kwon & Sanjeev Dewan & Wonseok Oh & Taekyung Kim, 2023. "Self-Regulation and External Influence: The Relative Efficacy of Mobile Apps and Offline Channels for Personal Weight Management," Information Systems Research, INFORMS, vol. 34(1), pages 50-66, March.
    3. Aristides Papathomas & George Konteos, 2024. "Financial institutions digital transformation: the stages of the journey and business metrics to follow," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 590-606, June.
    4. Maik Dehnert & Josephine Schumann, 2022. "Uncovering the digitalization impact on consumer decision-making for checking accounts in banking," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1503-1528, September.
    5. Mohammed Alyakoob & Mohammad S. Rahman & Zaiyan Wei, 2021. "Where You Live Matters: Local Bank Competition, Online Marketplace Lending, and Disparity in Borrower Benefits," Information Systems Research, INFORMS, vol. 32(4), pages 1390-1411, December.

  3. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.

    Cited by:

    1. He, Sherry & Hollenbeck, Brett & Proserpio, Davide, 2021. "The Market for Fake Reviews," MPRA Paper 105507, University Library of Munich, Germany.
    2. Yasui, Yuta, 2021. "Controlling Fake Reviews," MPRA Paper 108177, University Library of Munich, Germany.
    3. Balázs Kovács, 2024. "The Turing test of online reviews: Can we tell the difference between human-written and GPT-4-written online reviews?," Marketing Letters, Springer, vol. 35(4), pages 651-666, December.
    4. Chan, Haksin & Yang, Morgan X. & Zeng, Kevin J., 2022. "Bolstering ratings and reviews systems on multi-sided platforms: A co-creation perspective," Journal of Business Research, Elsevier, vol. 139(C), pages 208-217.
    5. Wang, Qiang & Zhang, Wen & Li, Jian & Ma, Zhenzhong, 2023. "Complements or confounders? A study of effects of target and non-target features on online fraudulent reviewer detection," Journal of Business Research, Elsevier, vol. 167(C).
    6. Kim, Jong Min & Park, Keeyeon Ki-cheon & Mariani, Marcello & Wamba, Samuel Fosso, 2024. "Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    7. Fei Long & Yunchuan Liu, 2024. "Platform Manipulation in Online Retail Marketplace with Sponsored Advertising," Marketing Science, INFORMS, vol. 43(2), pages 317-345, March.
    8. Qiang Wang & Wen Zhang & Jian Li & Feng Mai & Zhenzhong Ma, 2024. "The devil is in the details! Effect of differentiated platform governance on online review manipulation," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    9. Mardumyan, Anna & Siret, Iris, 2023. "When review verification does more harm than good: How certified reviews determine customer–brand relationship quality," Journal of Business Research, Elsevier, vol. 160(C).
    10. Wen Zhang & Qiang Wang & Jian Li & Zhenzhong Ma & Gokul Bhandari & Rui Peng, 2023. "What makes deceptive online reviews? A linguistic analysis perspective," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    11. Li, Yuanshuo & Zhang, Zili & Pedersen, Susanne & Liu, Xudong & Zhang, Ziqiong, 2023. "The influence of relative popularity on negative fake reviews: A case study on restaurant reviews," Journal of Business Research, Elsevier, vol. 162(C).

  4. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.

    Cited by:

    1. Tong Wang & Cheng He & Fujie Jin & Yu Jeffrey Hu, 2022. "Evaluating the Effectiveness of Marketing Campaigns for Malls Using a Novel Interpretable Machine Learning Model," Information Systems Research, INFORMS, vol. 33(2), pages 659-677, June.
    2. Sparacino, Daniele, 2019. "Funktionsweise und Möglichkeiten von Google Shopping mit einem Fokus auf Showcase Ads," Working Papers for Marketing & Management 42, Offenburg University, Department of Media and Information.
    3. Wu, Cheng-Lung & Ma, Ngai Ki, 2022. "The impact of customised mobile marketing on passenger shopping behaviour in the airport terminal," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    4. Xingyue (Luna) Zhang & Ruomeng Cui & Oliver Yao, 2023. "The version effect of apps and operating systems in mobile commerce," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 637-654, February.
    5. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302R, Cowles Foundation for Research in Economics, Yale University, revised Jun 2022.
    6. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
    7. Christian Bartelheimer, Ingo Berendes, Philipp zur Heiden, Daniel Beverungen, 2021. "Designing Digital Actor Engagement Platforms for Local High Streets: An Action Design Research Study," Working Papers Dissertations 80, Paderborn University, Faculty of Business Administration and Economics.
    8. Ryo Kato & Takahiro Hoshino & Daisuke Moriwaki & Shintaro Okazaki, 2022. "Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives," Discussion Paper Series DP2022-10, Research Institute for Economics & Business Administration, Kobe University.
    9. Anubhav Mishra & Anuja Shukla, 2023. "Gyan Fresh: Digital Transformation of Dairy Business with Resilience and Technology Innovation," FIIB Business Review, , vol. 12(1), pages 20-30, March.
    10. Chenshuo Sun & Panagiotis Adamopoulos & Anindya Ghose & Xueming Luo, 2022. "Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model," Information Systems Research, INFORMS, vol. 33(2), pages 429-445, June.
    11. Avi Goldfarb & Catherine Tucker, 2020. "Which Retail Outlets Generate the Most Physical Interactions?," NBER Working Papers 27042, National Bureau of Economic Research, Inc.
    12. Stefan F. Bernritter & Paul E. Ketelaar & Francesca Sotgiu, 2021. "Behaviorally targeted location-based mobile marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 677-702, July.
    13. Bies, Suzanne M.T.A. & Bronnenberg, Bart J. & Gijsbrechts, Els, 2021. "How push messaging impacts consumer spending and reward redemption in store-loyalty programs," International Journal of Research in Marketing, Elsevier, vol. 38(4), pages 877-899.
    14. Akira Matsui & Daisuke Moriwaki, 2022. "Online-to-offline advertisements as field experiments," The Japanese Economic Review, Springer, vol. 73(1), pages 211-242, January.
    15. Bies, Suzanne, 2022. "Examining the effectiveness of activation techniques on consumer behavior in temporary loyalty programs," Other publications TiSEM ade86df3-4846-4318-938f-a, Tilburg University, School of Economics and Management.
    16. Wencui Han & Xunyi Wang & Mehmet Eren Ahsen & Sunil Wattal, 2022. "The Societal Impact of Sharing Economy Platform Self-Regulations—An Empirical Investigation," Information Systems Research, INFORMS, vol. 33(4), pages 1303-1323, December.
    17. Lindo, Jason M. & Pineda-Torres, Mayra, 2021. "New Evidence on the Effects of Mandatory Waiting Periods for Abortion," Journal of Health Economics, Elsevier, vol. 80(C).
    18. Xingyue Zhang & Yuliang Yao, 2020. "How Much is Too Much? The Effect of Offline Call Intensity on Online Purchase of Digital Services," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 509-525, March.
    19. Cloarec, Julien, 2020. "The personalization–privacy paradox in the attention economy," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    20. Darvasi, Gábor & Spann, Martin & Zubcsek, Peter Pal, 2024. "How observation of other shoppers increases the in-store use of mobile technology," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    21. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    22. K. Sudhir & Seung Yoon Lee & Subroto Roy, 2021. "Lookalike Targeting on Others' Journeys: Brand Versus Performance Marketing," Cowles Foundation Discussion Papers 2302, Cowles Foundation for Research in Economics, Yale University.
    23. Anindya Ghose & Heeseung Andrew Lee & Wonseok Oh & Yoonseock Son, 2024. "Leveraging the Digital Tracing Alert in Virus Fight: The Impact of COVID-19 Cell Broadcast on Population Movement," Information Systems Research, INFORMS, vol. 35(2), pages 570-589, June.
    24. Meghanath Macha & Natasha Zhang Foutz & Beibei Li & Anindya Ghose, 2024. "Personalized Privacy Preservation in Consumer Mobile Trajectories," Information Systems Research, INFORMS, vol. 35(1), pages 249-271, March.
    25. Øystein Daljord & Carl F. Mela & Jason M. T. Roos & Jim Sprigg & Song Yao, 2023. "The Design and Targeting of Compliance Promotions," Marketing Science, INFORMS, vol. 42(5), pages 866-891, September.
    26. Vakeel, Khadija Ali & Fudurić, Morana & Viswanathan, Vijay & Sakashita, Mototaka, 2023. "Sustaining shopping momentum in retail malls using real-time messaging," Journal of Retailing, Elsevier, vol. 99(1), pages 102-114.
    27. Zhang, Hongchao & Yu, Yu & Qin, Yinggao, 2023. "The effects of constrained mobile coupons in the mobile channel," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    28. Yi‐Jen (Ian) Ho & Siyuan Liu & Jingchuan Pu & Dian Zhang, 2022. "Is it all about you or your driving? Designing IoT‐enabled risk assessments," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4205-4222, November.
    29. David A. Schweidel & Yakov Bart & J. Jeffrey Inman & Andrew T. Stephen & Barak Libai & Michelle Andrews & Ana Babić Rosario & Inyoung Chae & Zoey Chen & Daniella Kupor & Chiara Longoni & Felipe Thomaz, 2022. "How consumer digital signals are reshaping the customer journey," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1257-1276, November.
    30. Gene Moo Lee & Shu He & Joowon Lee & Andrew B. Whinston, 2020. "Matching Mobile Applications for Cross-Promotion," Information Systems Research, INFORMS, vol. 31(3), pages 865-891, September.
    31. Ding, Long & Liu, Peng & Hu, Sen, 2023. "Geo-Fencing or Geo-Conquesting? a strategic analysis of Location-Based coupon under different market structures," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    32. Wujin Chu & Jaewoo Joo, 2024. "Targeting effectiveness of mobile coupons: from exposure to purchase," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 342-354, June.
    33. Juliza Mohamad Arif & Mohd Faizal Ab Razak & Suryanti Awang & Sharfah Ratibah Tuan Mat & Nor Syahidatul Nadiah Ismail & Ahmad Firdaus, 2021. "A static analysis approach for Android permission-based malware detection systems," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-23, September.
    34. Yan Leng & Xiaowen Dong & Esteban Moro & Alex Pentland, 2024. "Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions," Information Systems Research, INFORMS, vol. 35(1), pages 318-338, March.
    35. Huang, Rui & Huang, Minxue & Zhao, Jing & Liu, Yuan, 2024. "Absence makes the heart grow fonder: The interactive effect of crowding information and spatial distance on consumers’ patronage intention," Journal of Business Research, Elsevier, vol. 176(C).

  5. Yingjie Zhang & Beibei Li & Xueming Luo & Xiaoyi Wang, 2019. "Personalized Mobile Targeting with User Engagement Stages: Combining a Structural Hidden Markov Model and Field Experiment," Information Systems Research, INFORMS, vol. 30(3), pages 787-804, September.

    Cited by:

    1. Zhuojun Gu & Ravi Bapna & Jason Chan & Alok Gupta, 2022. "Measuring the Impact of Crowdsourcing Features on Mobile App User Engagement and Retention: A Randomized Field Experiment," Management Science, INFORMS, vol. 68(2), pages 1297-1329, February.
    2. Jing Peng, 2023. "Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis," Information Systems Research, INFORMS, vol. 34(1), pages 67-84, March.
    3. Ryo Kato & Takahiro Hoshino & Daisuke Moriwaki & Shintaro Okazaki, 2022. "Mobile Targeting: Exploring the Role of Area Familiarity, Store Knowledge, and Promotional Incentives," Discussion Paper Series DP2022-10, Research Institute for Economics & Business Administration, Kobe University.
    4. Ni Huang & Probal Mojumder & Tianshu Sun & Jinchi Lv & Joseph M. Golden, 2021. "Not Registered? Please Sign Up First: A Randomized Field Experiment on the Ex Ante Registration Request," Information Systems Research, INFORMS, vol. 32(3), pages 914-931, September.
    5. Wan, Qin & Yang, Shilei & Shi, Victor & Qiu, Martin, 2021. "Optimal strategies of mobile targeting promotion under competition," International Journal of Production Economics, Elsevier, vol. 237(C).
    6. Shaohui Wu & Yong Tan & Yubo Chen & Yitian (Sky) Liang, 2022. "How Is Mobile User Behavior Different? A Hidden Markov Model of Cross-Mobile Application Usage Dynamics," Information Systems Research, INFORMS, vol. 33(3), pages 1002-1022, September.
    7. 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.
    8. Yan Leng & Xiaowen Dong & Esteban Moro & Alex Pentland, 2024. "Long-Range Social Influence in Phone Communication Networks on Offline Adoption Decisions," Information Systems Research, INFORMS, vol. 35(1), pages 318-338, March.

  6. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.

    Cited by:

    1. Karle, Heiko & Schumacher, Heiner & Vølund, Rune, 2023. "Consumer loss aversion and scale-dependent psychological switching costs," Games and Economic Behavior, Elsevier, vol. 138(C), pages 214-237.
    2. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
    3. Jin P. Gerlach & Ronald T. Cenfetelli, 2022. "Overcoming the Single-IS Paradigm in Individual-Level IS Research," Information Systems Research, INFORMS, vol. 33(2), pages 476-488, June.
    4. Gibbard, Peter, 2023. "Search with two stages of information acquisition: A structural econometric model of online purchases," Information Economics and Policy, Elsevier, vol. 65(C).
    5. Xitong Li & Jörn Grahl & Oliver Hinz, 2021. "How Do Recommender Systems Lead to Consumer Purchases? A Causal Mediation Analysis of a Field Experiment," Working Papers hal-03869071, HAL.
    6. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    7. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    8. Martin Reisenbichler & Thomas Reutterer & David A. Schweidel & Daniel Dan, 2022. "Frontiers: Supporting Content Marketing with Natural Language Generation," Marketing Science, INFORMS, vol. 41(3), pages 441-452, May.
    9. Venkatesh Shankar & Sohil Parsana, 2022. "An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1324-1350, November.
    10. Peter Gibbard, 2022. "A Model of Search with Two Stages of Information Acquisition and Additive Learning," Management Science, INFORMS, vol. 68(2), pages 1212-1217, February.
    11. 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.
    12. Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
    13. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).

  7. Nicholas H. Lurie & Jonah Berger & Zoey Chen & Beibei Li & Hongju Liu & Charlotte H. Mason & David M. Muir & Grant Packard & Joseph Pancras & Ann E. Schlosser & Baohong Sun & Rajkumar Venkatesan, 2018. "Everywhere and at All Times: Mobility, Consumer Decision-Making, and Choice," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 15-27, March.

    Cited by:

    1. Kim, Jong Min & Lee, Eunkyung & Mariani, Marcello M., 2021. "The influence of launching mobile channels on online customer reviews," Journal of Business Research, Elsevier, vol. 137(C), pages 366-378.
    2. Mograbi, Eli, 2022. "Decision-makers are more impulsive on smartphones than on computers," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    3. Pramono, Ari & Oppewal, Harmen, 2021. "Where to refuel: Modeling on-the-way choice of convenience outlet," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    4. Mariani, Marcello M. & Borghi, Matteo & Laker, Benjamin, 2023. "Do submission devices influence online review ratings differently across different types of platforms? A big data analysis," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    5. Abdullatif I. R. ALHUDAITHY, 2019. "The Impact of Supermarkets’ Mobile Application on Saudi Customer’s Behavior during the Buying Decision Process," Expert Journal of Marketing, Sprint Investify, vol. 7(1), pages 77-91.
    6. Lior Fink & Daniele Papismedov, 2023. "On the Same Page? What Users Benefit from a Desktop View on Mobile Devices," Information Systems Research, INFORMS, vol. 34(2), pages 423-441, June.
    7. Punj, Girish, 2022. "The effect of shopping goals and in-store mobile device use on purchase outcomes in brick-and-mortar stores," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).

  8. Quan Wang & Beibei Li & Param Vir Singh, 2018. "Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis," Information Systems Research, INFORMS, vol. 29(2), pages 273-291, June.

    Cited by:

    1. Manqi (Maggie) Li & Yan Huang & Amitabh Sinha, 2020. "Data-Driven Promotion Planning for Paid Mobile Applications," Information Systems Research, INFORMS, vol. 31(3), pages 1007-1029, September.
    2. Sun, Jiong & Zhang, Xing & Zhu, Qingyuan, 2020. "Counterfeiters in Online Marketplaces: Stealing Your Sales or Sharing Your Costs," Journal of Retailing, Elsevier, vol. 96(2), pages 189-202.
    3. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
    4. Yi Yang & Kunpeng Zhang & Yangyang Fan, 2023. "sDTM: A Supervised Bayesian Deep Topic Model for Text Analytics," Information Systems Research, INFORMS, vol. 34(1), pages 137-156, March.
    5. Song, Zhuzhu & Qin, Zhongfeng & Liu, Tian-Liang, 2024. "Implications of counterfeiting and differentiation on online knowledge services with suitability upgrades," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    6. Han, Nianchen & Zhang, Yuchen & Tong, Tony W., 2024. "Appropriability risk and knowledge search on digital platforms," Research Policy, Elsevier, vol. 53(7).
    7. Ransome Epie Bawack & Samuel Fosso Wamba & Kevin Daniel André Carillo & Shahriar Akter, 2022. "Artificial intelligence in E-Commerce: a bibliometric study and literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 297-338, March.
    8. Siliang Tong & Xueming Luo & Bo Xu, 2020. "Personalized mobile marketing strategies," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 64-78, January.
    9. Peng, Shuxia & Li, Bo & Wu, Shuang, 2023. "Presence of piracy and legal protection: Decisions in the digital goods market under different contracts," European Journal of Operational Research, Elsevier, vol. 309(2), pages 578-596.
    10. 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.
    11. Hou, Pengwen & Zhen, Ziyan & Pun, Hubert, 2020. "Combating copycatting in the luxury market with fighter brands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    12. Yuchen Zhang & Jingjing Li & Tony W. Tong, 2022. "Platform governance matters: How platform gatekeeping affects knowledge sharing among complementors," Strategic Management Journal, Wiley Blackwell, vol. 43(3), pages 599-626, March.
    13. Subrahmanyam Aditya Karanam & Ashish Agarwal & Anitesh Barua, 2023. "Design for Social Sharing: The Case of Mobile Apps," Information Systems Research, INFORMS, vol. 34(2), pages 721-743, June.
    14. Shunyuan Zhang & Dokyun Lee & Param Vir Singh & Kannan Srinivasan, 2022. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features," Management Science, INFORMS, vol. 68(8), pages 5644-5666, August.
    15. Burström, Thommie & Parida, Vinit & Lahti, Tom & Wincent, Joakim, 2021. "AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research," Journal of Business Research, Elsevier, vol. 127(C), pages 85-95.
    16. Malik, Nikhil & Wei, Yanhao Max & Appel, Gil & Luo, Lan, 2023. "Blockchain technology for creative industries: Current state and research opportunities," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 38-48.
    17. Jens Foerderer, 2020. "Interfirm Exchange and Innovation in Platform Ecosystems: Evidence from Apple’s Worldwide Developers Conference," Management Science, INFORMS, vol. 66(10), pages 4772-4787, October.
    18. 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).
    19. Ye Shi & Layth C. Alwan & Srinivasan Raghunathan & Yugang Yu & Xiaohang Yue, 2021. "Mobile Consumer Scanning Technology: A Replacement for Interorganizational Information Systems for Demand Information Learning in Supply Chains?," Information Systems Research, INFORMS, vol. 32(4), pages 1431-1449, December.
    20. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.
    21. Wang, Fei & Xu, Haifeng & Hou, Ronglin & Zhu, Zhen, 2023. "Designing marketing content for social commerce to drive consumer purchase behaviors: A perspective from speech act theory," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    22. Hanyao Gao & Gang Kou & Haiming Liang & Hengjie Zhang & Xiangrui Chao & Cong-Cong Li & Yucheng Dong, 2024. "Machine learning in business and finance: a literature review and research opportunities," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-35, December.
    23. Ka Chung Ng & Ping Fan Ke & Mike K. P. So & Kar Yan Tam, 2023. "Augmenting fake content detection in online platforms: A domain adaptive transfer learning via adversarial training approach," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2101-2122, July.
    24. Feng Zhu, 2019. "Friends or foes? Examining platform owners’ entry into complementors’ spaces," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 28(1), pages 23-28, January.
    25. Pallab Sanyal & Shun Ye, 2024. "An Examination of the Dynamics of Crowdsourcing Contests: Role of Feedback Type," Information Systems Research, INFORMS, vol. 35(1), pages 394-413, March.
    26. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.

  9. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.

    Cited by:

    1. Manqi (Maggie) Li & Yan Huang & Amitabh Sinha, 2020. "Data-Driven Promotion Planning for Paid Mobile Applications," Information Systems Research, INFORMS, vol. 31(3), pages 1007-1029, September.
    2. Babur De los Santos & Sergei Koulayev, 2017. "Optimizing Click-Through in Online Rankings with Endogenous Search Refinement," Marketing Science, INFORMS, vol. 36(4), pages 542-564, July.
    3. Hongyan Dai & Ling Ge & Chen Li & Yan Wen, 2022. "The interaction of discount promotion and display-related promotion on on-demand platforms," Information Systems and e-Business Management, Springer, vol. 20(2), pages 285-302, June.
    4. Stefano Carattini & Kenneth Gillingham & Xiangyu Meng & Erez Yoeli, 2024. "Peer-to-peer solar and social rewards: Evidence from a field experiment," Natural Field Experiments 00793, The Field Experiments Website.
    5. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
    6. Gerard Loosschilder & Jean-Pierre I. Rest & Zvi Schwartz & Paolo Cordella & Dirk Sierag, 2017. "From OTA interface design to hotels’ revenues: the impact of sorting and filtering functionalities on consumer choices," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(2), pages 125-138, April.
    7. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
    8. Matthias Hunold & Reinhold Kesler & Ulrich Laitenberger, 2020. "Rankings of Online Travel Agents, Channel Pricing, and Consumer Protection," Marketing Science, INFORMS, vol. 39(1), pages 92-116, January.
    9. Zibo Liu & Zhijie Lin & Ying Zhang & Yong Tan, 2022. "The Signaling Effect of Sampling Size in Physical Goods Sampling Via Online Channels," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 529-546, February.
    10. Zemin(Zachary) Zhong, 2016. "Targeted Search and Platform Design," Working Papers 16-03, NET Institute.
    11. Zhuang Weiqing & Wang Morgan C. & Nakamoto Ichiro & Jiang Ming, 2021. "Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 16-44, February.
    12. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
    13. Andrea Mantovani & Claudio Piga & Carlo Reggiani, 2017. "The dynamics of online hotel prices and the EU Booking.com case," Working Papers 17-04, NET Institute.
    14. Xuan Teng, 2022. "Self-Preferencing, Quality Provision, and Welfare in Mobile Application Markets," CESifo Working Paper Series 10042, CESifo.
    15. Doris Chenguang Wu & Shiteng Zhong & Richard T R Qiu & Ji Wu, 2022. "Are customer reviews just reviews? Hotel forecasting using sentiment analysis," Tourism Economics, , vol. 28(3), pages 795-816, May.
    16. Chris Gu & Yike Wang, 2022. "Consumer Online Search with Partially Revealed Information," Management Science, INFORMS, vol. 68(6), pages 4215-4235, June.
    17. Michael Rivera & Cheng Jiang & Subodha Kumar, 2024. "Seek and Ye Shall Find: An Empirical Examination of the Effects of Seeking Real-Time Feedback on Employee Performance Evaluations," Information Systems Research, INFORMS, vol. 35(2), pages 783-806, June.
    18. Ajzenman, Nicolas & Elacqua, Gregory & Marotta, Luana & Olsen, Anne Sofie, 2021. "Order Effects and Employment Decisions: Experimental Evidence from a Nationwide Program," IZA Discussion Papers 14690, Institute of Labor Economics (IZA).
    19. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    20. Rui Chen & Hai Jiang, 2020. "Assortment optimization with position effects under the nested logit model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(1), pages 21-33, February.
    21. Anindya Ghose & Xitong Guo & Beibei Li & Yuanyuan Dang, 2021. "Empowering Patients Using Smart Mobile Health Platforms: Evidence From A Randomized Field Experiment," Papers 2102.05506, arXiv.org, revised Feb 2021.
    22. Manmohan Aseri & Amit Mehra & Vijay Mookerjee & Hong Xu, 2024. "Should an Ad Agency Offer Geoconquesting or Protection from It?," Information Systems Research, INFORMS, vol. 35(2), pages 850-870, June.
    23. Gu, Chris & Wang, Yike, 2022. "Consumer online search with partially revealed information," LSE Research Online Documents on Economics 109871, London School of Economics and Political Science, LSE Library.
    24. Apostolos Filippas & John Horton & Joseph M. Golden, 2017. "Reputation in the Long-Run," CESifo Working Paper Series 6750, CESifo.
    25. Wei Zhou & Zidong Wang, 2020. "Competing for Search Traffic in Query Markets: Entry Strategy, Platform Design, and Entrepreneurship," Working Papers 20-12, NET Institute.
    26. 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.
    27. Tunuguntla, Vaishnavi & Basu, Preetam & Rakshit, Krishanu & Ghosh, Debabrata, 2019. "Sponsored search advertising and dynamic pricing for perishable products under inventory-linked customer willingness to pay," European Journal of Operational Research, Elsevier, vol. 276(1), pages 119-132.
    28. 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.
    29. Xiangyu Gao & Stefanus Jasin & Sajjad Najafi & Huanan Zhang, 2022. "Joint Learning and Optimization for Multi-Product Pricing (and Ranking) Under a General Cascade Click Model," Management Science, INFORMS, vol. 68(10), pages 7362-7382, October.
    30. Kapoor, Anuj Pal & Vij, Madhu, 2021. "Following you wherever you go: Mobile shopping ‘cart-checkout’ abandonment," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    31. Tim Kollmer & Andreas Eckhardt & Victoria Reibenspiess, 2022. "Explaining consumer suspicion: insights of a vignette study on online product reviews," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1221-1238, September.
    32. Raluca M. Ursu, 2018. "The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions," Marketing Science, INFORMS, vol. 37(4), pages 530-552, August.
    33. Pan, Bing, 2015. "The power of search engine ranking for tourist destinations," Tourism Management, Elsevier, vol. 47(C), pages 79-87.
    34. Long Wen & Chang Liu & Haiyan Song, 2019. "Forecasting tourism demand using search query data: A hybrid modelling approach," Tourism Economics, , vol. 25(3), pages 309-329, May.
    35. Choudhary, Vidyanand & Currim, Imran & Dewan, Sanjeev & Jeliazkov, Ivan & Mintz, Ofer & Turner, John, 2017. "Evaluation Set Size and Purchase: Evidence from a Product Search Engine," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 16-31.
    36. Giovanni Compiani & Gregory Lewis & Sida Peng & Peichun Wang, 2024. "Online Search and Optimal Product Rankings: An Empirical Framework," Marketing Science, INFORMS, vol. 43(3), pages 615-636, May.
    37. Amelia Fletcher & Peter L Ormosi & Rahul Savani, 2023. "Recommender Systems and Supplier Competition on Platforms," Journal of Competition Law and Economics, Oxford University Press, vol. 19(3), pages 397-426.
    38. Rafael P. Greminger, 2022. "Optimal Search and Discovery," Management Science, INFORMS, vol. 68(5), pages 3904-3924, May.
    39. Zhang, Yi & Chen, Kaihua, 2022. "Network growth dynamics: The simultaneous interaction between network positions and research performance of collaborative organisations," Technovation, Elsevier, vol. 115(C).
    40. Zemin (Zachary) Zhong, 2023. "Platform Search Design: The Roles of Precision and Price," Marketing Science, INFORMS, vol. 42(2), pages 293-313, March.
    41. Berbeglia, Franco & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2021. "Market segmentation in online platforms," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1025-1041.
    42. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.
    43. Iwanicki Grzegorz & Dłużewska Anna & Kay Melanie Smith, 2016. "Assessing the Level of Popularity of European Stag Tourism Destinations," Quaestiones Geographicae, Sciendo, vol. 35(3), pages 15-29, September.
    44. Mahsa Derakhshan & Negin Golrezaei & Vahideh Manshadi & Vahab Mirrokni, 2022. "Product Ranking on Online Platforms," Management Science, INFORMS, vol. 68(6), pages 4024-4041, June.
    45. Anindya Ghose & Beibei Li & Siyuan Liu, 2019. "Mobile Targeting Using Customer Trajectory Patterns," Management Science, INFORMS, vol. 65(11), pages 5027-5049, November.
    46. Tat Chan & Naser Hamdi & Xiang Hui & Zhenling Jiang, 2022. "The Value of Verified Employment Data for Consumer Lending: Evidence from Equifax," Marketing Science, INFORMS, vol. 41(4), pages 795-814, July.
    47. Raluca M. Ursu & Daria Dzyabura, 2020. "Retailers’ product location problem with consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 18(2), pages 125-154, June.
    48. Kevin J. Boudreau, 2018. "Amateurs Crowds & Professional Entrepreneurs as Platform Complementors," NBER Working Papers 24512, National Bureau of Economic Research, Inc.
    49. Santana, Shelle & Thomas, Manoj & Morwitz, Vicki G., 2020. "The Role of Numbers in the Customer Journey," Journal of Retailing, Elsevier, vol. 96(1), pages 138-154.
    50. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    51. Johannes Johnen & Robert Somogyi, 2019. "Deceptive Products on Platforms," Working Papers 19-13, NET Institute.
    52. Lijia Ma & Xingchen Xu & Yong Tan, 2024. "Crafting Knowledge: Exploring the Creative Mechanisms of Chat-Based Search Engines," Papers 2402.19421, arXiv.org.
    53. Ali Goli & Anja Lambrecht & Hema Yoganarasimhan, 2024. "A Bias Correction Approach for Interference in Ranking Experiments," Marketing Science, INFORMS, vol. 43(3), pages 590-614, May.
    54. Rafael P. Greminger, 2022. "Heterogeneous Position Effects and the Power of Rankings," Papers 2210.16408, arXiv.org, revised Dec 2023.
    55. Oliver J. Rutz & Garrett P. Sonnier, 2019. "VANISH regularization for generalized linear models," Quantitative Marketing and Economics (QME), Springer, vol. 17(4), pages 415-437, December.
    56. Hidalgo-Hidalgo, Marisa & Jiménez, Natalia & López-Pintado, Dunia, 2021. "Social influence and position effects," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 113-131.
    57. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2022. "Reputation Inflation," Marketing Science, INFORMS, vol. 41(4), pages 733-745, July.
    58. Hema Yoganarasimhan, 2020. "Search Personalization Using Machine Learning," Management Science, INFORMS, vol. 66(3), pages 1045-1070, March.
    59. Thomas Blake & Chris Nosko & Steven Tadelis, 2016. "Returns to Consumer Search: Evidence from eBay," NBER Working Papers 22302, National Bureau of Economic Research, Inc.
    60. Theodoros Lappas & Gaurav Sabnis & Georgios Valkanas, 2016. "The Impact of Fake Reviews on Online Visibility: A Vulnerability Assessment of the Hotel Industry," Information Systems Research, INFORMS, vol. 27(4), pages 940-961, December.
    61. Chen, Yutong, 2024. "Does the gig economy discriminate against women? Evidence from physicians in China," Journal of Development Economics, Elsevier, vol. 169(C).
    62. Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
    63. Jacobs, B.J.D. & Donkers, A.C.D. & Fok, D., 2016. "Model-based Purchase Predictions for Large Assortments," ERIM Report Series Research in Management ERS-2014-007-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    64. Morgane Cure & Ulrich Laitenberger & Matthias Hunold & Reinhold Kesler & Thomas Larrieu, 2022. "Vertical integration of platforms and product prominence," Post-Print hal-03707038, HAL.
    65. Li, Yuanshuo & Zhang, Zili & Pedersen, Susanne & Liu, Xudong & Zhang, Ziqiong, 2023. "The influence of relative popularity on negative fake reviews: A case study on restaurant reviews," Journal of Business Research, Elsevier, vol. 162(C).
    66. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2019. "Reputation Inflation," NBER Working Papers 25857, National Bureau of Economic Research, Inc.
    67. Shengjun Mao & Sanjeev Dewan & Yi-Jen (Ian) Ho, 2023. "Personalized Ranking at a Mobile App Distribution Platform," Information Systems Research, INFORMS, vol. 34(3), pages 811-827, September.
    68. Haihao Lu & Luyang Zhang, 2024. "The Power of Linear Programming in Sponsored Listings Ranking: Evidence from Field Experiments," Papers 2403.14862, arXiv.org.
    69. Chen Jin & Luyi Yang & Kartik Hosanagar, 2019. "To Brush or Not to Brush: Product Rankings, Customer Search, and Fake Orders," Working Papers 19-02, NET Institute.

  10. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2012. "Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content," Marketing Science, INFORMS, vol. 31(3), pages 493-520, May.

    Cited by:

    1. Athey, Susan & Luca, Michael, 2018. "Economists (and Economics) in Tech Companies," Research Papers 3735, Stanford University, Graduate School of Business.
    2. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    3. Babur De los Santos & Sergei Koulayev, 2017. "Optimizing Click-Through in Online Rankings with Endogenous Search Refinement," Marketing Science, INFORMS, vol. 36(4), pages 542-564, July.
    4. Matthias Hunold & Reinhold Kesler & Ulrich Laitenberger, 2019. "Hotel Rankings of Online Travel Agents, Channel Pricing and Consumer Protection," Post-Print hal-02163741, HAL.
    5. Nicole Stein & Stefan Spinler & Helga Vanthournout & Vered Blass, 2020. "Consumer Perception of Online Attributes in Circular Economy Activities," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    6. Uttara M. Ananthakrishnan & Beibei Li & Michael D. Smith, 2020. "A Tangled Web: Should Online Review Portals Display Fraudulent Reviews?," Information Systems Research, INFORMS, vol. 31(3), pages 950-971, September.
    7. Oksana Loginova & Andrea Mantovani, 2016. "Price Competition in the Presence of a Web Aggregator," Working Papers 1616, Department of Economics, University of Missouri.
    8. Navid Aghakhani & Onook Oh & Dawn Gregg & Hemant Jain, 2023. "How Review Quality and Source Credibility Interacts to Affect Review Usefulness: An Expansion of the Elaboration Likelihood Model," Information Systems Frontiers, Springer, vol. 25(4), pages 1513-1531, August.
    9. Marios Kokkodis & Theodoros Lappas, 2020. "Your Hometown Matters: Popularity-Difference Bias in Online Reputation Platforms," Information Systems Research, INFORMS, vol. 31(2), pages 412-430, June.
    10. Xin (Shane) Wang & Feng Mai & Roger H. L. Chiang, 2014. "Database Submission ---Market Dynamics and User-Generated Content About Tablet Computers," Marketing Science, INFORMS, vol. 33(3), pages 449-458, May.
    11. Matthias Hunold & Reinhold Kesler & Ulrich Laitenberger, 2020. "Rankings of Online Travel Agents, Channel Pricing, and Consumer Protection," Marketing Science, INFORMS, vol. 39(1), pages 92-116, January.
    12. T. Ravichandran & Chaoqun Deng, 2023. "Effects of Managerial Response to Negative Reviews on Future Review Valence and Complaints," Information Systems Research, INFORMS, vol. 34(1), pages 319-341, March.
    13. Matthias Hunold & Ulrich Laitenberger & Guillaume Thébaudin, 2022. "Bye-box: An Analysis of Non-Promotion on the Amazon Marketplace 03.06.2022," Working Papers hal-04104183, HAL.
    14. Yang, Yang & Mueller, Noah J. & Croes, Robertico R., 2016. "Market accessibility and hotel prices in the Caribbean: The moderating effect of quality-signaling factors," Tourism Management, Elsevier, vol. 56(C), pages 40-51.
    15. Ben Shiller, 2016. "Personalized Price Discrimination Using Big Data," Working Papers 108, Brandeis University, Department of Economics and International Business School.
    16. Hartmann, Jochen & Huppertz, Juliana & Schamp, Christina & Heitmann, Mark, 2019. "Comparing automated text classification methods," International Journal of Research in Marketing, Elsevier, vol. 36(1), pages 20-38.
    17. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    18. Viotto da Cruz, Jordana, 2018. "Beyond financing: crowdfunding as an informational mechanism," Journal of Business Venturing, Elsevier, vol. 33(3), pages 371-393.
    19. Park, Chang Hee & Agarwal, Manoj K., 2018. "The order effect of advertisers on consumer search behavior in sponsored search markets," Journal of Business Research, Elsevier, vol. 84(C), pages 24-33.
    20. Feifei Wang & Yang Yang & Geoffrey K. F. Tso & Yang Li, 2019. "Analysis of launch strategy in cross-border e-Commerce market via topic modeling of consumer reviews," Electronic Commerce Research, Springer, vol. 19(4), pages 863-884, December.
    21. Jorge Mejia & Shawn Mankad & Anandasivam Gopal, 2019. "A for Effort? Using the Crowd to Identify Moral Hazard in New York City Restaurant Hygiene Inspections," Information Systems Research, INFORMS, vol. 30(4), pages 1363-1386, December.
    22. Yi Liu & Pinar Yildirim & Z. John Zhang, 2022. "Implications of Revenue Models and Technology for Content Moderation Strategies," Marketing Science, INFORMS, vol. 41(4), pages 831-847, July.
    23. Xin (Shane) Wang & Neil Bendle & Yinjie Pan, 2024. "Beyond text: Marketing strategy in a world turned upside down," Journal of the Academy of Marketing Science, Springer, vol. 52(4), pages 939-954, July.
    24. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2019. "Modeling Consumer Footprints on Search Engines: An Interplay with Social Media," Management Science, INFORMS, vol. 65(3), pages 1363-1385, March.
    25. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2015. "The Hidden Cost of Accommodating Crowdfunder Privacy Preferences: A Randomized Field Experiment," Management Science, INFORMS, vol. 61(5), pages 949-962, May.
    26. Chris Gu & Yike Wang, 2022. "Consumer Online Search with Partially Revealed Information," Management Science, INFORMS, vol. 68(6), pages 4215-4235, June.
    27. Babur De los Santos & Sergei Koulayev, 2012. "Optimizing Click-through in Online Rankings for Partially Anonymous Consumers," Working Papers 2012-04, Indiana University, Kelley School of Business, Department of Business Economics and Public Policy.
    28. Yuqian Xu & Mor Armony & Anindya Ghose, 2021. "The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation," Management Science, INFORMS, vol. 67(12), pages 7344-7361, December.
    29. Kris J. Ferreira & Sunanda Parthasarathy & Shreyas Sekar, 2022. "Learning to Rank an Assortment of Products," Management Science, INFORMS, vol. 68(3), pages 1828-1848, March.
    30. Michael Luca & Georgios Zervas, 2013. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Harvard Business School Working Papers 14-006, Harvard Business School, revised May 2015.
    31. Marios Kokkodis, 2021. "Dynamic, Multidimensional, and Skillset-Specific Reputation Systems for Online Work," Information Systems Research, INFORMS, vol. 32(3), pages 688-712, September.
    32. Rui Chen & Hai Jiang, 2020. "Assortment optimization with position effects under the nested logit model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(1), pages 21-33, February.
    33. Imran Bashir Dar & Muhammad Bashir Khan & Abdul Zahid Khan & Bahaudin G. Mujtaba, 2021. "A qualitative analysis of the marketing analytics literature: where would ethical issues and legality rank?," Journal of Marketing Analytics, Palgrave Macmillan, vol. 9(3), pages 242-261, September.
    34. Mengxia Zhang & Lan Luo, 2023. "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp," Management Science, INFORMS, vol. 69(1), pages 25-50, January.
    35. Piolatto, A. & Schuett, Florian, 2022. "Information vs Competition : How Platform Design Affects Profits and Surplus," Other publications TiSEM 43e43ee1-c784-4b60-9d62-e, Tilburg University, School of Economics and Management.
    36. Zhang, Yucheng & Zhang, Meng & Li, Jing & Liu, Guangjian & Yang, Miles M. & Liu, Siqi, 2021. "A bibliometric review of a decade of research: Big data in business research – Setting a research agenda," Journal of Business Research, Elsevier, vol. 131(C), pages 374-390.
    37. Dinesh Puranam & Vishal Narayan & Vrinda Kadiyali, 2017. "The Effect of Calorie Posting Regulation on Consumer Opinion: A Flexible Latent Dirichlet Allocation Model with Informative Priors," Marketing Science, INFORMS, vol. 36(5), pages 726-746, September.
    38. Soumya Mukhopadhyay, 2018. "Opinion mining in management research: the state of the art and the way forward," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 221-250, June.
    39. Saeed Tajdini, 2023. "The effects of internet search intensity for products on companies’ stock returns: a competitive intelligence perspective," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(3), pages 352-365, September.
    40. Angela Aerry Choi & Daegon Cho & Dobin Yim & Jae Yun Moon & Wonseok Oh, 2019. "When Seeing Helps Believing: The Interactive Effects of Previews and Reviews on E-Book Purchases," Information Systems Research, INFORMS, vol. 30(4), pages 1164-1183, December.
    41. Quan Wang & Beibei Li & Param Vir Singh, 2018. "Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis," Information Systems Research, INFORMS, vol. 29(2), pages 273-291, June.
    42. Martin-Domingo, Luis & Martín, Juan Carlos & Mandsberg, Glen, 2019. "Social media as a resource for sentiment analysis of Airport Service Quality (ASQ)," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 106-115.
    43. Gu, Chris & Wang, Yike, 2022. "Consumer online search with partially revealed information," LSE Research Online Documents on Economics 109871, London School of Economics and Political Science, LSE Library.
    44. Oksana Loginova & Andrea Mantovani, 2015. "Information and Online Reviews," Working Papers 1505, Department of Economics, University of Missouri.
    45. Li, Xin & Pan, Bing & Law, Rob & Huang, Xiankai, 2017. "Forecasting tourism demand with composite search index," Tourism Management, Elsevier, vol. 59(C), pages 57-66.
    46. Alantari, Huwail J. & Currim, Imran S. & Deng, Yiting & Singh, Sameer, 2022. "An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 1-19.
    47. Wu, Lunwen & Wang, Zhouyiying & Liao, Zhixue & Xiao, Di & Han, Peng & Li, Wenyong & Chen, Qin, 2024. "Multi-day tourism recommendations for urban tourists considering hotel selection: A heuristic optimization approach," Omega, Elsevier, vol. 126(C).
    48. Michael Trusov & Liye Ma & Zainab Jamal, 2016. "Crumbs of the Cookie: User Profiling in Customer-Base Analysis and Behavioral Targeting," Marketing Science, INFORMS, vol. 35(3), pages 405-426, May.
    49. Anuj Kapoor & Catherine Tucker, 2017. "How do Platform Participants respond to an Unfair Rating? An Analysis of a Ride-Sharing Platform Using a Quasi-Experiment," Working Papers 17-19, NET Institute.
    50. Scott Motyka & Dhruv Grewal & Elizabeth Aguirre & Dominik Mahr & Ko Ruyter & Martin Wetzels, 2018. "The emotional review–reward effect: how do reviews increase impulsivity?," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 1032-1051, November.
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Chapters

  1. Lin William Cong & Beibei Li & Qingquan Tony Zhang, 2021. "Alternative Data in FinTech and Business Intelligence," Springer Books, in: Maurizio Pompella & Roman Matousek (ed.), The Palgrave Handbook of FinTech and Blockchain, edition 1, chapter 0, pages 217-242, Springer.

    Cited by:

    1. Tigges, Maximilian & Mestwerdt, Sönke & Tschirner, Sebastian & Mauer, René, 2024. "Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    2. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2022. "Causal complexity analysis for fintech adoption at the country level," Journal of Business Research, Elsevier, vol. 153(C), pages 228-234.
    3. Lin William Cong & Wenshi Wei & Danxia Xie & Longtian Zhang, 2021. "Endogenous Growth Under Multiple Uses of Data," Papers 2109.10027, arXiv.org.
    4. Chang, Qing & Wu, Mengtao & Zhang, Longtian, 2024. "Endogenous growth and human capital accumulation in a data economy," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 298-312.

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