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Copycats vs. Original Mobile Apps: A Machine Learning Copycat-Detection Method and Empirical Analysis

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  1. Vasundhara Sharma & Ashish Agarwal & Anitesh Barua, 2025. "Demand-Side Effects of Open Innovation: The Case of Cryptocurrency Forking," Management Science, INFORMS, vol. 71(8), pages 7136-7160, August.
  2. 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.
  3. 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.
  4. 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.
  5. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
  6. 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.
  7. Li, Yaqiu & Meg Lee, Hsin Hsuan & Blasco-Arcas, Lorena, 2025. "Computer vision in branding: A conceptual framework and future research agenda," Journal of Business Research, Elsevier, vol. 193(C).
  8. 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).
  9. 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).
  10. Hsing Kenneth Cheng & D. Daniel Sokol & Xinyu Zang, 2024. "The rise of empirical online platform research in the new millennium," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(2), pages 416-451, March.
  11. 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.
  12. Han, Nianchen & Zhang, Yuchen & Tong, Tony W., 2024. "Appropriability risk and knowledge search on digital platforms," Research Policy, Elsevier, vol. 53(7).
  13. 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.
  14. Nianxin Wang & Yuxue Yang & Yulin Fang & Huifang Li & Angela Lu, 2023. "Growing user base in the early stage of sharing economy platforms: An integration of competitive repertoire and institutional legitimacy theories," Production and Operations Management, Production and Operations Management Society, vol. 32(11), pages 3484-3503, November.
  15. 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.
  16. 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.
  17. Viswanath Venkatesh, 2025. "Leveraging Context: Re-Thinking Research Processes to Make “Contributions to Theory”," Information Systems Research, INFORMS, vol. 36(3), pages 1871-1886, September.
  18. Konstantin Bauman & Alexander Tuzhilin & Moshe Unger, 2025. "HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems," Information Systems Research, INFORMS, vol. 36(2), pages 871-895, June.
  19. 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.
  20. Rahul Kumar & Shubhadeep Mukherjee & Nripendra P. Rana, 2024. "Exploring Latent Characteristics of Fake Reviews and Their Intermediary Role in Persuading Buying Decisions," Information Systems Frontiers, Springer, vol. 26(3), pages 1091-1108, June.
  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. 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.
  23. 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).
  24. 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.
  25. 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.
  26. Tobias Kircher & Jens Foerderer, 2024. "Ban Targeted Advertising? An Empirical Investigation of the Consequences for App Development," Management Science, INFORMS, vol. 70(2), pages 1070-1092, February.
  27. 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.
  28. Jie Zhang & Yanju Zhou & Xiaohong Chen & Maggie Wenjing Liu, 2025. "Quality investment and subsidy strategies of platforms for smart home control hub," Electronic Commerce Research, Springer, vol. 25(4), pages 3283-3324, August.
  29. Subrahmanyam Aditya Karanam & Ashish Agarwal & Anitesh Barua, 2025. "Follow Your Heart or Listen to Users? The Case of Mobile App Design," Information Systems Research, INFORMS, vol. 36(3), pages 1846-1870, September.
  30. 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.
  31. Moonwon Chung & Luv Sharma & Manoj K. Malhotra, 2023. "Impact of Modularity Design on Mobile App Launch Success," Manufacturing & Service Operations Management, INFORMS, vol. 25(2), pages 756-774, March.
  32. Shiva Agarwal & Rahul Kapoor, 2023. "Value Creation Tradeoff in Business Ecosystems: Leveraging Complementarities While Managing Interdependencies," Organization Science, INFORMS, vol. 34(3), pages 1216-1242, May.
  33. Wu, Xiangxiang & Zha, Yong, 2025. "App release strategy in the presence of competitive platforms’ quality upgrades," European Journal of Operational Research, Elsevier, vol. 320(3), pages 570-580.
  34. 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.
  35. 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.
  36. 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.
  37. Saverio Dave Favaron & Giada Di Stefano, 2025. "Let Us Not Speak of Them, But Look and Pass? Organizational Responses to Online Reviews," Organization Science, INFORMS, vol. 36(2), pages 651-676, March.
  38. 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.
  39. 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.
  40. 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.
  41. Stan J. Liebowitz & Alejandro Zentner, 2024. "The challenges of using ranks to estimate sales," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 33(1), pages 3-24, January.
  42. Chiara Mauri & Marco Pichierri & Martina Gurioli, 2025. "When mirroring others causes confusion: reviewing brand confusion literature through the MIRROR framework," Italian Journal of Marketing, Springer, vol. 2025(4), pages 425-448, December.
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