IDEAS home Printed from https://ideas.repec.org/r/eee/ijrema/v35y2018i4p538-556.html
   My bibliography  Save this item

Extracting brand information from social networks: Integrating image, text, and social tagging data

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. María Bonilla-Quijada & Juan Tugores-Ques & Josep Lluís Olmo Arriaga, 2021. "Promotion of urban tourism: insights into user engagement on social media," Information Technology & Tourism, Springer, vol. 23(4), pages 611-632, December.
  3. Klostermann, Jan & Meißner, Martin & Max, Alexander & Decker, Reinhold, 2023. "Presentation of celebrities’ private life through visual social media," Journal of Business Research, Elsevier, vol. 156(C).
  4. Pantano, Eleonora & Dennis, Charles & De Pietro, Michela, 2021. "Shopping centers revisited: The interplay between consumers’ spontaneous online communications and retail planning," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
  5. 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.
  6. Daria Dzyabura & Siham El Kihal & John R. Hauser & Marat Ibragimov, 2023. "Leveraging the Power of Images in Managing Product Return Rates," Marketing Science, INFORMS, vol. 42(6), pages 1125-1142, November.
  7. Septianto, Felix & Paramita, Widya, 2021. "Cute brand logo enhances favorable brand attitude: The moderating role of hope," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
  8. Andranik Tumasjan, 2024. "The many faces of social media in business and economics research: Taking stock of the literature and looking into the future," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 389-426, April.
  9. Kadić-Maglajlić, Selma & Lages, Cristiana R. & Pantano, Eleonora, 2024. "No time to lie: Examining the identity of pro-vaccination and anti-vaccination supporters through user-generated content," Social Science & Medicine, Elsevier, vol. 347(C).
  10. Pantano, Eleonora, 2021. "When a luxury brand bursts: Modelling the social media viral effects of negative stereotypes adoption leading to brand hate," Journal of Business Research, Elsevier, vol. 123(C), pages 117-125.
  11. Zhao, Lu & Zhang, Mingli & Ming, Yaxin & Niu, Tao & Wang, Yu, 2023. "The effect of image richness on customer engagement: Evidence from Sina Weibo," Journal of Business Research, Elsevier, vol. 154(C).
  12. 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.
  13. 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.
  14. Mas, José M. & Gómez, Andrés, 2021. "Social partners in the digital ecosystem: Will business organizations, trade unions and government organizations survive the digital revolution?," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
  15. “Jimmy” Xu, Zhenning & Ramirez, Edward & Liu, Pan & Frankwick, Gary L., 2024. "Evaluating underlying factor structures using novel machine learning algorithms: An empirical and simulation study," Journal of Business Research, Elsevier, vol. 173(C).
  16. Lee, Liane W.Y. & Sharma, Piyush & Barnes, Bradley R., 2022. "Adopting big data to create an “outside-in” global perspective of guanxi," Journal of Business Research, Elsevier, vol. 139(C), pages 614-628.
  17. 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.
  18. 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.
  19. Adrian Waltenrath, 2024. "Consumers’ ambiguous perceptions of advertising disclosures in influencer marketing: Disentangling the effects on current and future social media engagement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-24, December.
  20. Arora, Anuja & Bansal, Shivam & Kandpal, Chandrashekhar & Aswani, Reema & Dwivedi, Yogesh, 2019. "Measuring social media influencer index- insights from facebook, Twitter and Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 86-101.
  21. Zhao, Lu & Zhang, Mingli & Tu, Jianbo & Li, Jialing & Zhang, Yan, 2023. "Can users embed their user experience in user-generated images? Evidence from JD.com," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
  22. Kübler, Raoul V. & Lobschat, Lara & Welke, Lina & van der Meij, Hugo, 2024. "The effect of review images on review helpfulness: A contingency approach," Journal of Retailing, Elsevier, vol. 100(1), pages 5-23.
  23. Pantano, Eleonora & Priporas, Constantinos-Vasilios & Devereux, Luke & Pizzi, Gabriele, 2021. "Tweets to escape: Intercultural differences in consumer expectations and risk behavior during the COVID-19 lockdown in three European countries," Journal of Business Research, Elsevier, vol. 130(C), pages 59-69.
  24. Mitra, Satanik & Jenamani, Mamata, 2020. "OBIM: A computational model to estimate brand image from online consumer review," Journal of Business Research, Elsevier, vol. 114(C), pages 213-226.
  25. María Rocío Bonilla Quijada & José Luis Del Olmo Arriaga & David Andreu Domingo, 2021. "Insights into user engagement on social media. Findings from two fashion retailers," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(1), pages 125-137, March.
  26. Li, Xi & Shi, Mengze & Wang, Xin (Shane), 2019. "Video mining: Measuring visual information using automatic methods," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 216-231.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.