| Cross-buying in retailing: Drivers and consequences V Kumar, M George, J Pancras Journal of retailing 84 (1), 15-27, 2008 | 270 | 2008 |
| Mobile promotions: A framework and research priorities M Andrews, J Goehring, S Hui, J Pancras, L Thornswood Journal of Interactive Marketing 34 (1), 15-24, 2016 | 249 | 2016 |
| Issues and perspectives in global customer relationship management B Ramaseshan, D Bejou, SC Jain, C Mason, J Pancras Journal of service research 9 (2), 195-207, 2006 | 142 | 2006 |
| Optimal marketing strategies for a customer data intermediary J Pancras, K Sudhir Journal of Marketing research 44 (4), 560-578, 2007 | 137 | 2007 |
| Empirical investigation of retail expansion and cannibalization in a dynamic environment J Pancras, S Sriram, V Kumar Management Science 58 (11), 2001-2018, 2012 | 116 | 2012 |
| An empirical analysis of the impact of promotional discounts on store performance DK Gauri, B Ratchford, J Pancras, D Talukdar Journal of retailing 93 (3), 283-303, 2017 | 105 | 2017 |
| On the brink: Predicting business failure with mobile location-based checkins L Wang, R Gopal, R Shankar, J Pancras Decision Support Systems 76, 3-13, 2015 | 83 | 2015 |
| Impact of Gamification on Perceptions of Word-of-Mouth Contributors and Actions of Word-of-Mouth Consumers RD Wang, L., Gunasti, K., Shankar, R., Pancras, J., & Gopal MIS Quarterly, 2020 | 50* | 2020 |
| Everywhere and at all times: mobility, consumer decision-making, and choice NH Lurie, J Berger, Z Chen, B Li, H Liu, CH Mason, DM Muir, G Packard, ... Customer Needs and Solutions 5, 15-27, 2018 | 31 | 2018 |
| Social media advertising: How online motivations and congruency influence perceptions of trust JR Carlson, S Hanson, J Pancras, WT Ross Jr, J Rousseau‐Anderson Journal of Consumer Behaviour 21 (2), 197-213, 2022 | 29 | 2022 |
| Loss leaders and cross-category retailer pass-through: A Bayesian multilevel analysis J Pancras, DK Gauri, D Talukdar Journal of Retailing 89 (2), 140-157, 2013 | 23 | 2013 |
| A framework to determine the value of consumer consideration set information for firm pricing strategies J Pancras Computational Economics 35, 269-300, 2010 | 23 | 2010 |
| Market-based drivers of cobranding success HT Nguyen, WT Ross Jr, J Pancras, HV Phan Journal of Business Research 115, 122-138, 2020 | 18 | 2020 |
| Forecasting venue popularity on location‐based services using interpretable machine learning L Wang, R Gopal, R Shankar, J Pancras Production and Operations Management 31 (7), 2773-2788, 2022 | 14 | 2022 |
| Managing customer acquisition risk using co-operative databases H Liu, J Pancras, M Houtz Journal of interactive marketing 29 (1), 39-56, 2015 | 14 | 2015 |
| The impact of gamification on word-of-mouth effectiveness: Evidence from foursquare L Wang, K Gunasti, R Gopal, R Shankar, J Pancras | 13 | 2017 |
| Broad or exact? Search Ad matching decisions with keyword specificity and position S Yang, J Pancras, YA Song Decision Support Systems 143, 113491, 2021 | 12 | 2021 |
| The nested consideration model: Investigating dynamic store consideration sets and store competition J Pancras European Journal of Operational Research 214 (2), 340-347, 2011 | 11 | 2011 |
| Investigating emergent nested geographic structure in consumer purchases: a Bayesian dynamic multi-scale spatiotemporal modeling approach X Wang, J Pancras, DK Dey Journal of Applied Statistics 48 (3), 410-433, 2021 | 9 | 2021 |
| A comparison of generalized multinomial logit and latent class approaches to studying consumer heterogeneity with some extensions of the generalized multinomial logit model J Pancras, DK Dey Applied Stochastic Models in Business and Industry 27 (6), 567-578, 2011 | 9 | 2011 |
