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Video mining: Measuring visual information using automatic methods

Citations

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Cited by:

  1. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
  2. He, Jiaxiu & Li, Bingqing & Wang, Xin (Shane), 2023. "Image features and demand in the sharing economy: A study of Airbnb," International Journal of Research in Marketing, Elsevier, vol. 40(4), pages 760-780.
  3. Schraml, Christopher, 2025. "Automated Video Analytics in Marketing Research: A Systematic Literature Review and a Novel Multimodal Large Language Model Method," OSF Preprints 63nbc_v1, Center for Open Science.
  4. 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.
  5. Simon J. Blanchard & Theodore J. Noseworthy & Ethan Pancer & Maxwell Poole, 2023. "Extraction of visual information to predict crowdfunding success," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 4172-4189, December.
  6. 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.
  7. Villarroel Ordenes, Francisco & Silipo, Rosaria, 2021. "Machine learning for marketing on the KNIME Hub: The development of a live repository for marketing applications," Journal of Business Research, Elsevier, vol. 137(C), pages 393-410.
  8. repec:ags:aaea22:335600 is not listed on IDEAS
  9. Shuili Du & Assaad El Akremi & Ming Jia, 2023. "Quantitative Research on Corporate Social Responsibility: A Quest for Relevance and Rigor in a Quickly Evolving, Turbulent World," Journal of Business Ethics, Springer, vol. 187(1), pages 1-15, September.
  10. Feng, Cong & Fay, Scott, 2022. "An empirical investigation of forward-looking retailer performance using parking lot traffic data derived from satellite imagery," Journal of Retailing, Elsevier, vol. 98(4), pages 633-646.
  11. 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.
  12. Cai, Wanxiang & Polzin, Friedemann & Stam, Erik, 2021. "Crowdfunding and social capital: A systematic review using a dynamic perspective," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  13. Song, Danyang & Wang, Shichao & Ou, Carol & Chen, Xi & Liu, Ruitao & Tang, Haihong, 2021. "How do video features matter in visual advertising? An elaboration likelihood model perspective," Other publications TiSEM 37845995-5426-470a-8630-8, Tilburg University, School of Economics and Management.
  14. Wang, Xin (Shane) & Ryoo, Jun Hyun (Joseph) & Bendle, Neil & Kopalle, Praveen K., 2021. "The role of machine learning analytics and metrics in retailing research," Journal of Retailing, Elsevier, vol. 97(4), pages 658-675.
  15. Mohina Gandhi & Arpan Kumar Kar & Sanjit Kumar Roy, 2024. "Managing Industrial Innovation Communications on Social Media Platforms for Effective User Engagement," Information Systems Frontiers, Springer, vol. 26(4), pages 1417-1434, August.
  16. Zhu, Jingjie & Cheng, Mingming, 2024. "Automatic video analytics in tourism: A methodological review," Annals of Tourism Research, Elsevier, vol. 108(C).
  17. Yang, Yutao & Lan, Tian, 2024. "Boosting Sports Card Sales: Leveraging Visual Display and Machine Learning in Online Retail," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  18. Carlson, Keith & Kopalle, Praveen K. & Riddell, Allen & Rockmore, Daniel & Vana, Prasad, 2023. "Complementing human effort in online reviews: A deep learning approach to automatic content generation and review synthesis," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 54-74.
  19. Huang, Ming-Hui & Rust, Roland T., 2022. "A Framework for Collaborative Artificial Intelligence in Marketing," Journal of Retailing, Elsevier, vol. 98(2), pages 209-223.
  20. Ngai, Eric W.T. & Wu, Yuanyuan, 2022. "Machine learning in marketing: A literature review, conceptual framework, and research agenda," Journal of Business Research, Elsevier, vol. 145(C), pages 35-48.
  21. Gupta, Shaphali & Leszkiewicz, Agata & Kumar, V. & Bijmolt, Tammo & Potapov, Dmitriy, 2020. "Digital Analytics: Modeling for Insights and New Methods," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 26-43.
  22. Ma, Liye & Sun, Baohong, 2020. "Machine learning and AI in marketing – Connecting computing power to human insights," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 481-504.
  23. Grewal, Dhruv & Herhausen, Dennis & Ludwig, Stephan & Villarroel Ordenes, Francisco, 2022. "The Future of Digital Communication Research: Considering Dynamics and Multimodality," Journal of Retailing, Elsevier, vol. 98(2), pages 224-240.
  24. Kyungmin Park & Stephanie Lee & Shahryar Doosti & Yong Tan, 2023. "Provision of helpful review videos: Effects of video characteristics on perceived helpfulness," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2031-2048, July.
  25. Ziyi Yin & Guowei Huang & Rui Zhao & Sen Wang & Wen-Long Shang & Chunjia Han & Mu Yang, 2024. "Information disclosure and funding success of green crowdfunding campaigns: a study on GoFundMe," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-23, December.
  26. Xiao, Quan & Huang, Weiling & Qu, Lu & Li, Xia, 2025. "The impact of multimodal information features of short sales videos on consumer engagement behavior: A multi-method approach," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
  27. Wen, Xin & Niu, Yixuan & Liao, Chengcheng, 2025. "U-shaped Effect of Color in Short-form Video: Combination of Text, Audio, Image ML and Generative AI," Journal of Business Research, Elsevier, vol. 192(C).
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