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Video mining: Measuring visual information using automatic methods

Citations

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Cited by:

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. Raoul V. Kübler & Susanne J. Adler & Lina Welke & Marko Sarstedt & Koen Pauwels, 2025. "Mining Consumer Mindset Metrics With User-Generated Content," Schmalenbach Journal of Business Research, Springer, vol. 77(3), pages 497-525, September.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. Yang, Zhengliang & Caputo, Vincenzina, 2023. "Introducing automatic video mining to agricultural economics: A case study from a crowdfunding website," 2023 Annual Meeting, July 23-25, Washington D.C. 335600, Agricultural and Applied Economics Association.
  14. 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.
  15. Rae Yule Kim, 2026. "What makes things catch on? Understanding consumer engagement with video content on social media," Electronic Commerce Research, Springer, vol. 26(1), pages 1039-1064, February.
  16. 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.
  17. 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).
  18. repec:ags:aaea22:335600 is not listed on IDEAS
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. Zhu, Jingjie & Cheng, Mingming, 2024. "Automatic video analytics in tourism: A methodological review," Annals of Tourism Research, Elsevier, vol. 108(C).
  24. 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.
  25. 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.
  26. Reitsamer, Bernd F. & Stokburger-Sauer, Nicola E. & Giertz, Johann N. & Nocker, Janina S., 2026. "Marketer-generated content in digital social touchpoints: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 205(C).
  27. 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.
  28. 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).
  29. 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).
  30. Madathil, Johnson Clement, 2025. "Generative AI advertisements and Human–AI collaboration: The role of humans as gatekeepers of humanity," Journal of Retailing and Consumer Services, Elsevier, vol. 87(C).
  31. 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).
  32. 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).
  33. Wang, Xia & Ding, Ying & Hu, Ying, 2025. "The impact of face presence in user-generated videos on consumer Engagement: Insights into How, When, and who," International Journal of Research in Marketing, Elsevier, vol. 42(4), pages 1323-1342.
  34. 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.
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