Is the Daily Deal Social Shopping?: An Empirical Analysis of Customer Panel Data
Author
Abstract
Suggested Citation
DOI: 10.1016/j.intmar.2015.12.001
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Yadav, Manjit S. & de Valck, Kristine & Hennig-Thurau, Thorsten & Hoffman, Donna L. & Spann, Martin, 2013.
"Social Commerce: A Contingency Framework for Assessing Marketing Potential,"
Journal of Interactive Marketing, Elsevier, vol. 27(4), pages 311-323.
- Manjit S. Yadav & Kristine de Valck & Thorsten Henning-Thurau & Donna Hoffman & Martin Spann, 2013. "Social Commerce: A Contingency Framework for Assessing Marketing Potential," Post-Print hal-00907919, HAL.
- Hongbin Cai & Yuyu Chen & Hanming Fang, 2009.
"Observational Learning: Evidence from a Randomized Natural Field Experiment,"
American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
- Hongbin Cai & Yuyu Chen & Hanming Fang, 2007. "Observational Learning: Evidence from a Randomized Natural Field Experiment," NBER Working Papers 13516, National Bureau of Economic Research, Inc.
- Jeffrey M Wooldridge, 2010.
"Econometric Analysis of Cross Section and Panel Data,"
MIT Press Books,
The MIT Press,
edition 2, volume 1, number 0262232588, December.
- Jeffrey M. Wooldridge, 2001. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262232197, December.
- Jiahua Wu & Mengze Shi & Ming Hu, 2015. "Threshold Effects in Online Group Buying," Management Science, INFORMS, vol. 61(9), pages 2025-2040, September.
- Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Yao Tang & Xu Guan, 2022. "Seller Organization and Percentage Fee Design in the Daily Deal Market," Information Systems Research, INFORMS, vol. 33(4), pages 1287-1302, December.
- Besharat, Ali & Nardini, Gia & Roggeveen, Anne L., 2021. "Online daily coupons: Understanding how prepayment impacts spending at redemption," Journal of Business Research, Elsevier, vol. 127(C), pages 364-372.
- Mei Kay Loo & Sridar Ramachandran & Raja Nerina Raja Yusof, 2025. "Systematic Review of Factors and Barriers Influencing E-Commerce Adoption among SMEs over the Last Decade: A TOE Framework Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 9624-9648, June.
- Yao Tang, 2023. "A product strategy for daily deal campaigns utilizing demand expansion and consumer leakage," Electronic Commerce Research, Springer, vol. 23(3), pages 1861-1883, September.
- Jochen Reiner & Bernd Skiera, 2018. "Helping Merchants to Assess the Profitability of Deal-of-the-Day Promotions," Interfaces, INFORMS, vol. 48(3), pages 247-259, June.
- Xue Bai & James R. Marsden & William T. Ross & Gang Wang, 2020. "A Note on the Impact of Daily Deals on Local Retailers’ Online Reputation: Mediation Effects of the Consumer Experience," Information Systems Research, INFORMS, vol. 31(4), pages 1132-1143, December.
- Hui Li & Feng Zhu, 2021. "Information Transparency, Multihoming, and Platform Competition: A Natural Experiment in the Daily Deals Market," Management Science, INFORMS, vol. 67(7), pages 4384-4407, July.
- Francesca De Canio & Marco Ieva & Cristina Ziliani, 2017. "Beyond the "mobile versus PC" dichotomy: Profiling online shoppers based on device usage," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(2), pages 99-121.
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.- Ruomeng Cui & Dennis J. Zhang & Achal Bassamboo, 2019. "Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon," Management Science, INFORMS, vol. 65(3), pages 1216-1235, March.
- Ming Hu & Joseph Milner & Jiahua Wu, 2016. "Liking and Following and the Newsvendor: Operations and Marketing Policies Under Social Influence," Management Science, INFORMS, vol. 62(3), pages 867-879, March.
- Philipp B. Cornelius & Bilal Gokpinar, 2020. "The Role of Customer Investor Involvement in Crowdfunding Success," Management Science, INFORMS, vol. 66(1), pages 452-472, January.
- Fishman, Arthur & Fishman, Ram & Gneezy, Uri, 2019. "A tale of two food stands: Observational learning in the field," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 101-108.
- Harry Pei, 2020. "Reputation Building under Observational Learning," Papers 2006.08068, arXiv.org, revised Nov 2020.
- Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
- Engström, Per & Forsell, Eskil, 2018.
"Demand effects of consumers’ stated and revealed preferences,"
Journal of Economic Behavior & Organization, Elsevier, vol. 150(C), pages 43-61.
- Engström, Per & Forsell, Eskil, 2013. "Demand effects of consumers’ stated and revealed preferences," Working Paper Series 2013:6, Uppsala University, Department of Economics.
- Seul-Ki Kim & Young-Chul Kim, 2021. "Coed vs Single-Sex Schooling: An Empirical Study on Mental Health Outcomes," Working Papers 2103, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
- Anna K. Edenbrandt & Christian Gamborg & Bo Jellesmark Thorsen, 2020. "Observational learning in food choices: The effect of product familiarity and closeness of peers," Agribusiness, John Wiley & Sons, Ltd., vol. 36(3), pages 482-498, June.
- Liangfei Qiu & Arunima Chhikara & Asoo Vakharia, 2021.
"Multidimensional Observational Learning in Social Networks: Theory and Experimental Evidence,"
Information Systems Research, INFORMS, vol. 32(3), pages 876-894, September.
- Liangfei Qiu & Asoo Vakharia & Arunima Chhikara, 2019. "Multi-Dimensional Observational Learning in Social Networks: Theory and Experimental Evidence," Working Papers 19-01, NET Institute.
- Astier, Nicolas, 2018.
"Comparative feedbacks under incomplete information,"
Resource and Energy Economics, Elsevier, vol. 54(C), pages 90-108.
- Nicolas Astier, 2018. "Comparative Feedbacks under Incomplete Information," Post-Print hal-01465189, HAL.
- Zaggl, Michael A. & Block, Joern, 2019. "Do small funding amounts lead to reverse herding? A field experiment in reward-based crowdfunding," Journal of Business Venturing Insights, Elsevier, vol. 12(C).
- Catherine Tucker & Juanjuan Zhang, 2011. "How Does Popularity Information Affect Choices? A Field Experiment," Management Science, INFORMS, vol. 57(5), pages 828-842, May.
- Jurui Zhang & Yong Liu & Yubo Chen, 2015. "Social Learning in Networks of Friends versus Strangers," Marketing Science, INFORMS, vol. 34(4), pages 573-589, July.
- Nicolas Astier, 2016. "Comparative Feedbacks under Incomplete Information," Working Papers hal-01465189, HAL.
- Shijie Lu & Dai Yao & Xingyu Chen & Rajdeep Grewal, 2021. "Do Larger Audiences Generate Greater Revenues Under Pay What You Want? Evidence from a Live Streaming Platform," Marketing Science, INFORMS, vol. 40(5), pages 964-984, September.
- Antonia Grohmann & Sahra Sakha, 2015.
"The Effect of Peer Observation on Consumption Choices: Experimental Evidence,"
Discussion Papers of DIW Berlin
1525, DIW Berlin, German Institute for Economic Research.
- Sakha, Sahra & Grohmann, Antonia, 2016. "The effect of peer observation on consumption choices: experimental evidence," Discussion Papers 01/2016, Deutsche Bundesbank.
- Jin, Miao & Liu, Yu-Jane & Meng, Juanjuan & Zhang, Yu, 2025. "Peer effects in the hierarchy: Evidence from the workplace," Journal of Economic Behavior & Organization, Elsevier, vol. 231(C).
- Brian Knight & Nathan Schiff, 2010.
"Momentum and Social Learning in Presidential Primaries,"
Journal of Political Economy, University of Chicago Press, vol. 118(6), pages 1110-1150.
- Brian Knight & Nathan Schiff, 2007. "Momentum and Social Learning in Presidential Primaries," NBER Working Papers 13637, National Bureau of Economic Research, Inc.
- Grahl, Jörn & Hinz, Oliver & Rothlauf, Franz & Abdel-Karim, Benjamin M. & Mihale-Wilson, Cristina, 2023. "How do likes influence revenue? A randomized controlled field experiment," Journal of Business Research, Elsevier, vol. 167(C).
Corrections
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:eee:joinma:v:33:y:2016:i:c:p:57-76. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-interactive-marketing/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/joinma/v33y2016icp57-76.html