IDEAS home Printed from https://ideas.repec.org/r/kap/qmktec/v5y2007i4p361-400.html
   My bibliography  Save this item

Neighborhood effects and trial on the internet: Evidence from online grocery retailing

Citations

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


Cited by:

  1. Jing Wang & Anocha Aribarg & Yves F. Atchadé, 2013. "Modeling Choice Interdependence in a Social Network," Marketing Science, INFORMS, vol. 32(6), pages 977-997, November.
  2. Raghuram Iyengar & Christophe Van den Bulte & Jae Young Lee, 2015. "Social Contagion in New Product Trial and Repeat," Marketing Science, INFORMS, vol. 34(3), pages 408-429, May.
  3. Xiaorong, Z. & Yumeng, W. & Xiangzhi, K., 2018. "Influence of Geographical Elements on Tea Farmers' Participation in Modern Agricultural Value Chain," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277292, International Association of Agricultural Economists.
  4. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
  5. María Sicilia & Manuela López, 2011. "How e-wom contributes to new product adoption. Testing competitive communication strategies," DOCFRADIS Working Papers 1102, Catedra Fundación Ramón Areces de Distribución Comercial.
  6. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
  7. Suvrat Dhanorkar & Suresh Muthulingam, 2020. "Do E‐Waste Laws Create Behavioral Spillovers? Quasi‐Experimental Evidence from California," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1738-1766, July.
  8. Sridhar Narayanan & Harikesh S. Nair, 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Working Papers 11-22, NET Institute.
  9. Park, Minjung, 2019. "Selection bias in estimation of peer effects in product adoption," Journal of choice modelling, Elsevier, vol. 30(C), pages 17-27.
  10. Zihao Yang & Ramayya Krishnan & Beibei Li, 2024. "The Interplay Between Individual Mobility, Health Risk, and Economic Choice: A Holistic Model for COVID-19 Policy Intervention," INFORMS Joural on Data Science, INFORMS, vol. 3(1), pages 6-27, April.
  11. Kannan, P.K. & Li, Hongshuang “Alice”, 2017. "Digital marketing: A framework, review and research agenda," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 22-45.
  12. Jae Young Lee & David R. Bell, 2013. "Neighborhood Social Capital and Social Learning for Experience Attributes of Products," Marketing Science, INFORMS, vol. 32(6), pages 960-976, November.
  13. Jonathan Z. Zhang, 2019. "Dynamic customer interdependence," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 723-746, July.
  14. Grant Miller & A. Mushfiq Mobarak, 2015. "Learning About New Technologies Through Social Networks: Experimental Evidence on Nontraditional Stoves in Bangladesh," Marketing Science, INFORMS, vol. 34(4), pages 480-499, July.
  15. Liu, Zhuping & Duan, Jason A & Mahajan, Vijay, 2020. "Dynamics and peer effects of brand revenue in college sports," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 756-771.
  16. Kelchtermans, Stijn & Neicu, Daniel & Teirlinck, Peter, 2020. "The role of peer effects in firms’ usage of R&D tax exemptions," Journal of Business Research, Elsevier, vol. 108(C), pages 74-91.
  17. Masood H Siddiqui & Shalini N Tripathi, 2016. "Grocery Retailing in India: Online Mode versus Retail Store Purchase," International Business Research, Canadian Center of Science and Education, vol. 9(5), pages 180-195, May.
  18. Zheyin (Jane) Gu & Yunchuan Liu, 2014. "Consumer Learning on Social Networks and Retailer Digital Platform Strategies Access," Working Papers 14-02, NET Institute.
  19. Nikolas Tsakas, 2014. "Optimal influence under observational learning," Gecomplexity Discussion Paper Series 4, Action IS1104 "The EU in the new complex geography of economic systems: models, tools and policy evaluation", revised Nov 2014.
  20. 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.
  21. Michael Braun & André Bonfrer, 2011. "Scalable Inference of Customer Similarities from Interactions Data Using Dirichlet Processes," Marketing Science, INFORMS, vol. 30(3), pages 513-531, 05-06.
  22. Bilgicer, Tolga & Jedidi, Kamel & Lehmann, Donald R. & Neslin, Scott A., 2015. "Social Contagion and Customer Adoption of New Sales Channels," Journal of Retailing, Elsevier, vol. 91(2), pages 254-271.
  23. Mahama-Musah, Fuseina & Schoutteet, Penelope & Vanhaverbeke, Lieselot, 2021. "Using online data for offline decisions: A geostatistical approach for evaluating the patronage potential of a baby-care retailer," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
  24. Puneet Manchanda & Ying Xie & Nara Youn, 2008. "The Role of Targeted Communication and Contagion in Product Adoption," Marketing Science, INFORMS, vol. 27(6), pages 961-976, 11-12.
  25. Son, Jungmin & Kim, Jikyung (Jeanne) & Choi, Jeonghye & Kim, Mingyung, 2017. "Linking online niche sales to offline brand conditions," Journal of Business Research, Elsevier, vol. 70(C), pages 74-84.
  26. Sungjoon Nam & Puneet Manchanda & Pradeep K. Chintagunta, 2010. "The Effect of Signal Quality and Contiguous Word of Mouth on Customer Acquisition for a Video-on-Demand Service," Marketing Science, INFORMS, vol. 29(4), pages 690-700, 07-08.
  27. Coby Morvinski & On Amir & Eitan Muller, 2017. "“Ten Million Readers Can’t Be Wrong!,” or Can They? On the Role of Information About Adoption Stock in New Product Trial," Marketing Science, INFORMS, vol. 36(2), pages 290-300, March.
  28. Yansong Hu & Christophe Van den Bulte, 2014. "Nonmonotonic Status Effects in New Product Adoption," Marketing Science, INFORMS, vol. 33(4), pages 509-533, July.
  29. Tsakas, Nikolas, 2024. "Optimal influence under observational learning," Mathematical Social Sciences, Elsevier, vol. 128(C), pages 41-51.
  30. Voleti Sudhir, 2015. "A Multimarket Analysis of Inter-dependent Consumer Response Sensitivities," Review of Marketing Science, De Gruyter, vol. 13(1), pages 59-93, November.
  31. P. Baecke & D. Van Den Poel, 2012. "Including Spatial Interdependence in Customer Acquisition Models: a Cross-Category Comparison," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/788, Ghent University, Faculty of Economics and Business Administration.
  32. Bryan Bollinger & Kenneth Gillingham & A. Justin Kirkpatrick & Steven Sexton, 2022. "Visibility and Peer Influence in Durable Good Adoption," Marketing Science, INFORMS, vol. 41(3), pages 453-476, May.
  33. Tuck Siong Chung & Michel Wedel & Roland T. Rust, 2016. "Adaptive personalization using social networks," Journal of the Academy of Marketing Science, Springer, vol. 44(1), pages 66-87, January.
  34. Eggers, Fabian & Risselada, Hans & Niemand, Thomas & Robledo, Sebastian, 2022. "Referral campaigns for software startups: The impact of network characteristics on product adoption," Journal of Business Research, Elsevier, vol. 145(C), pages 309-324.
  35. Jeonghye Choi & David R. Bell & Leonard M. Lodish, 2012. "Traditional and IS-Enabled Customer Acquisition on the Internet," Management Science, INFORMS, vol. 58(4), pages 754-769, April.
  36. Zhang, Yuchi & Moe, Wendy W. & Schweidel, David A., 2017. "Modeling the role of message content and influencers in social media rebroadcasting," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 100-119.
  37. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
  38. Paik, Jane & Ying, Zhiliang, 2012. "A composite likelihood approach for spatially correlated survival data," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 209-216, January.
  39. Gadi Fibich & Ro'i Gibori, 2010. "Aggregate Diffusion Dynamics in Agent-Based Models with a Spatial Structure," Operations Research, INFORMS, vol. 58(5), pages 1450-1468, October.
  40. Curatola, Giuliano, 2017. "Portfolio choice and asset prices when preferences are interdependent," Journal of Economic Behavior & Organization, Elsevier, vol. 140(C), pages 197-223.
  41. Christophe Van den Bulte & Raghuram Iyengar, 2011. "Tricked by Truncation: Spurious Duration Dependence and Social Contagion in Hazard Models," Marketing Science, INFORMS, vol. 30(2), pages 233-248, 03-04.
  42. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
  43. Sam Hui & Eric Bradlow, 2012. "Bayesian multi-resolution spatial analysis with applications to marketing," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 419-452, December.
  44. Liye Ma & Ramayya Krishnan & Alan L. Montgomery, 2015. "Latent Homophily or Social Influence? An Empirical Analysis of Purchase Within a Social Network," Management Science, INFORMS, vol. 61(2), pages 454-473, February.
  45. Yang, Xinan & Strauss, Arne K., 2017. "An approximate dynamic programming approach to attended home delivery management," European Journal of Operational Research, Elsevier, vol. 263(3), pages 935-945.
  46. Kim, Sunghoon & DeSarbo, Wayne S. & Chang, Won, 2021. "Note: A new approach to the modeling of spatially dependent and heterogeneous geographical regions," International Journal of Research in Marketing, Elsevier, vol. 38(3), pages 792-803.
  47. Mingyung Kim & Eric T. Bradlow & Raghuram Iyengar, 2022. "Selecting Data Granularity and Model Specification Using the Scaled Power Likelihood with Multiple Weights," Marketing Science, INFORMS, vol. 41(4), pages 848-866, July.
  48. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "Path Data in Marketing: An Integrative Framework and Prospectus for Model Building," Marketing Science, INFORMS, vol. 28(2), pages 320-335, 03-04.
  49. Tat Y. Chan & Jia Li & Lamar Pierce, 2014. "Learning from Peers: Knowledge Transfer and Sales Force Productivity Growth," Marketing Science, INFORMS, vol. 33(4), pages 463-484, July.
  50. Pookulangara, Sanjukta & Koesler, Kristian, 2011. "Cultural influence on consumers' usage of social networks and its' impact on online purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 18(4), pages 348-354.
  51. Bhatia, Tulikaa & Wang, Lei, 2011. "Identifying physician peer-to-peer effects using patient movement data," International Journal of Research in Marketing, Elsevier, vol. 28(1), pages 51-61.
  52. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
  53. Viswanathan, Vijay & Sese, F. Javier & Krafft, Manfred, 2017. "Social influence in the adoption of a B2B loyalty program: The role of elite status members," International Journal of Research in Marketing, Elsevier, vol. 34(4), pages 901-918.
  54. P. Baecke & D. Van Den Poel, 2012. "Improving Customer Acquisition Models by Incorporating Spatial Autocorrelation at Different Levels of Granularity," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/819, Ghent University, Faculty of Economics and Business Administration.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.