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

Citations

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Cited by:

  1. 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.
  2. Han, Nianchen & Zhang, Yuchen & Tong, Tony W., 2024. "Appropriability risk and knowledge search on digital platforms," Research Policy, Elsevier, vol. 53(7).
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Bradley, Wendy A. & Kolev, Julian, 2023. "How does digital piracy affect innovation? Evidence from software firms," Research Policy, Elsevier, vol. 52(3).
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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).
  22. 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.
  23. 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).
  24. 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).
  25. 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.
  26. 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).
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