Liye Ma

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Medförfattare

Baohong SunCheung Kong Graduate School of BusinessVerifierad e-postadress på andrew.cmu.edu
Alan Lewis MontgomeryProfessor, Carnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Ramayya KrishnanCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Kinshuk JerathArthur F Burns Professor of Free and Competitive Enterprise, Professor of Business, MarketingVerifierad e-postadress på columbia.edu
Michael TrusovUniversity of MarylandVerifierad e-postadress på umd.edu
Michael D. SmithJ. Erik Jonsson Professor of Information Technology and Marketing, Carnegie Mellon UniversityVerifierad e-postadress på andrew.cmu.edu
Xian GuAssistant Professor of Marketing, Indiana UniversityVerifierad e-postadress på iu.edu
P.K. KannanProfessor of Marketing, University of MarylandVerifierad e-postadress på umd.edu
Param Vir SinghCarnegie Bosch Professor of Business Technologies and Marketing, Tepper School ofVerifierad e-postadress på cmu.edu
kannan srinivasanProfessor, Carnegie Mellon UniversityVerifierad e-postadress på andrew.cmu.edu
Puneet ManchandaIsadore and Leon Winkelman Professor, Professor of Marketing, Ross School of Business, University ofVerifierad e-postadress på umich.edu
H. Alice LiThe Ohio State UniversityVerifierad e-postadress på osu.edu
Z. Eddie NingAssistant Professor of Marketing and Behavioural Science, University of British Columbia SauderVerifierad e-postadress på sauder.ubc.ca
S. RaghavanSmith School of Business University of MarylandVerifierad e-postadress på umd.edu
Kunpeng 'KZ' ZhangAssociate Professor at University of MarylandVerifierad e-postadress på umd.edu

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Liye Ma

Associate Professor of Marketing, Robert H. Smith School of Business, University of Maryland

Verifierad e-postadress på umd.edu


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Machine learning and AI in marketing–Connecting computing power to human insights L Ma, B Sun International Journal of Research in Marketing 37 (3), 481-504, 2020	687	2020
The squeaky wheel gets the grease—An empirical analysis of customer voice and firm intervention on Twitter L Ma, B Sun, S Kekre Marketing Science 34 (5), 627-645, 2015	311	2015
Consumer click behavior at a search engine: The role of keyword popularity K Jerath, L Ma, YH Park Journal of Marketing Research 51 (4), 480-486, 2014	262	2014
Crumbs of the cookie: User profiling in customer-base analysis and behavioral targeting M Trusov, L Ma, Z Jamal Marketing Science 35 (3), 405-426, 2016	222	2016
A “position paradox” in sponsored search auctions K Jerath, L Ma, YH Park, K Srinivasan Marketing Science 30 (4), 612-627, 2011	209	2011
Latent homophily or social influence? An empirical analysis of purchase within a social network L Ma, R Krishnan, AL Montgomery Management Science 61 (2), 454-473, 2015	207	2015
Selling the premium in freemium X Gu, PK Kannan, L Ma Journal of Marketing 82 (6), 10-27, 2018	160	2018
An empirical analysis of the impact of pre-release movie piracy on box office revenue L Ma, AL Montgomery, PV Singh, MD Smith Information Systems Research 25 (3), 590-603, 2014	122	2014
Platforms: a multiplicity of research opportunities S Sriram, P Manchanda, ME Bravo, J Chu, L Ma, M Song, S Shriver, ... Marketing Letters 26, 141-152, 2015	121	2015
Recomended for you: The impact of profit incentives on the relevance of online recommendations K Hosanagar, R Krishnan, L Ma ICIS 2008 Proceedings, 31, 2008	48	2008
Charting the path to purchase using topic models H Li, L Ma Journal of Marketing Research 57 (6), 1019-1036, 2020	39	2020
The dual impact of movie piracy on box-office revenue: Cannibalization and promotion L Ma, A Montgomery, MD Smith Available at SSRN 2736946, 2016	36	2016
Homophily or influence? An empirical analysis of purchase within a social network L Ma, R Krishnan, A Montgomery Working paper, Heinz School, Carnegie Mellon University, Pittsburgh, 2010	24	2010
How does competition affect exploration vs. exploitation? A tale of two recommendation algorithms HH Cao, L Ma, ZE Ning, B Sun Management Science, forthcoming, 2022	14	2022
How companies can get the most out of a freemium business model X Gu, PK Kannan, L Ma Harvard Business Review, Brighton, MA, USA, 2019	11	2019
Only the interested learn: A model of proactive learning of product reviews L Ma Working paper, 2016	10	2016
A dynamic competitive analysis of content production and link formation of Internet content developers L Ma, B Sun, K Srinivasan Working Paper, Carnegie Mellon University, 2010	8	2010
Improving broader sharing to address geographic inequity in liver transplantation S Akshat, L Ma, S Raghavan Manufacturing and Service Operations Management, forthcoming, 2021	6	2021
What shall I learn? Two-stage decision making under social influence on corporate E-learning platforms YA Song, L Zhang, L Ma, I Bose Decision Support Systems 171, 113978, 2023	5	2023
Image network and interest group– A heterogeneous network embedding approach to analyze social curation on Pinterest L Ma, B Sun, K Zhang working paper, 2019	5	2019

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