Detecting Product Adoption Intentions via Multiview Deep Learning
Author
Abstract
Suggested Citation
DOI: 10.1287/ijoc.2021.1083
Download full text from publisher
References listed on IDEAS
- Yanwu Yang & Daniel Zeng & Yinghui Yang & Jie Zhang, 2015. "Optimal Budget Allocation Across Search Advertising Markets," INFORMS Journal on Computing, INFORMS, vol. 27(2), pages 285-300, May.
- Xin Li & Kun Chen & Sherry X. Sun & Terrance Fung & Huaiqing Wang & Daniel D. Zeng, 2016. "A Commonsense Knowledge-Enabled Textual Analysis Approach for Financial Market Surveillance," INFORMS Journal on Computing, INFORMS, vol. 28(2), pages 278-294, May.
- Xiao Fang & Paul Jen-Hwa Hu & Zhepeng (Lionel) Li & Weiyu Tsai, 2013. "Predicting Adoption Probabilities in Social Networks," Information Systems Research, INFORMS, vol. 24(1), pages 128-145, March.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xu, Qianwen Ariel & Jayne, Chrisina & Chang, Victor, 2024. "An emoji feature-incorporated multi-view deep learning for explainable sentiment classification of social media reviews," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Irina Heimbach & Oliver Hinz, 2018. "The Impact of Sharing Mechanism Design on Content Sharing in Online Social Networks," Information Systems Research, INFORMS, vol. 29(3), pages 592-611, September.
- Jason Rhuggenaath & Alp Akcay & Yingqian Zhang & Uzay Kaymak, 2022. "Setting Reserve Prices in Second-Price Auctions with Unobserved Bids," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 2950-2967, November.
- Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2021. "Tensorial graph learning for link prediction in generalized heterogeneous networks," European Journal of Operational Research, Elsevier, vol. 290(1), pages 219-234.
- Tolga Akcura & Kemal Altinkemer & Hailiang Chen, 0. "Noninfluentials and information dissemination in the microblogging community," Information Technology and Management, Springer, vol. 0, pages 1-18.
- Tolga Akcura & Kemal Altinkemer & Hailiang Chen, 2018. "Noninfluentials and information dissemination in the microblogging community," Information Technology and Management, Springer, vol. 19(2), pages 89-106, June.
- Sheng, Jie, 2019. "Being Active in Online Communications: Firm Responsiveness and Customer Engagement Behaviour," Journal of Interactive Marketing, Elsevier, vol. 46(C), pages 40-51.
- Ahmed Abbasi & Jingjing Li & Donald Adjeroh & Marie Abate & Wanhong Zheng, 2019. "Don’t Mention It? Analyzing User-Generated Content Signals for Early Adverse Event Warnings," Information Systems Research, INFORMS, vol. 30(3), pages 1007-1028, September.
- Michael Kahr & Markus Leitner & Ivana Ljubić, 2024. "The Impact of Passive Social Media Viewers in Influence Maximization," INFORMS Journal on Computing, INFORMS, vol. 36(6), pages 1362-1381, December.
- Mi Hyun Lee & Sang Pil Han & Sungho Park & Wonseok Oh, 2023. "Positive Demand Spillover of Popular App Adoption: Implications for Platform Owners’ Management of Complements," Information Systems Research, INFORMS, vol. 34(3), pages 961-995, September.
- Hongzhe Zhang & Xiaohang Zhao & Xiao Fang & Bintong Chen, 2024. "Proactive Resource Request for Disaster Response: A Deep Learning-Based Optimization Model," Information Systems Research, INFORMS, vol. 35(2), pages 528-550, June.
- Julian Inchauspe, 2021. "Modelling Facebook and Outlook event attendance decisions: coordination traps and herding," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(4), pages 797-815, October.
- Liang Hou & Roger J. Jiao, 2020. "Data-informed inverse design by product usage information: a review, framework and outlook," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 529-552, March.
- Chang, Shuhua & Zhang, Zhaowei & Wang, Xinyu & Dong, Yan, 2020. "Optimal acquisition and retention strategies in a duopoly model of competition," European Journal of Operational Research, Elsevier, vol. 282(2), pages 677-695.
- Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
- Xiao, Jin & Li, Yuxi & Tian, Yuhang & Jiang, Xiaoyi & Wang, Yuan & Wang, Shouyang, 2025. "Optimising allocation of marketing resources among offline channel retailers: A bi-clustering-based model," Journal of Business Research, Elsevier, vol. 186(C).
- Chen, Zhen-Yu & Fan, Zhi-Ping & Sun, Minghe, 2019. "Individual-level social influence identification in social media: A learning-simulation coordinated method," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1005-1015.
- Yi Yang & Kunpeng Zhang & Yangyang Fan, 2022. "Analyzing Firm Reports for Volatility Prediction: A Knowledge-Driven Text-Embedding Approach," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 522-540, January.
- Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.
- Li, Libo, 2018. "Predicting online invitation responses with a competing risk model using privacy-friendly social event data," European Journal of Operational Research, Elsevier, vol. 270(2), pages 698-708.
- Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
More about this item
Keywords
web mining; business intelligence; intention detection; deep learning; social media analytics;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orijoc:v:34:y:2022:i:1:p:541-556. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.