IDEAS home Printed from https://ideas.repec.org/f/pmo365.html
   My authors  Follow this author

Ricardo Montoya

Personal Details

First Name:Ricardo
Middle Name:
Last Name:Montoya
Suffix:
RePEc Short-ID:pmo365
http://www.columbia.edu/~rm2183

Affiliation

Graduate School of Business
Columbia University

New York City, New York (United States)
http://www.gsb.columbia.edu/
RePEc:edi:gsclbus (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Asim Ansari & Ricardo Montoya & Oded Netzer, 2012. "Dynamic learning in behavioral games: A hidden Markov mixture of experts approach," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 475-503, December.
  2. Oded Koenigsberg & Rajeev Kohli & Ricardo Montoya, 2011. "The Design of Durable Goods," Marketing Science, INFORMS, vol. 30(1), pages 111-122, 01-02.
  3. Ricardo Montoya & Oded Netzer & Kamel Jedidi, 2010. "Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability," Marketing Science, INFORMS, vol. 29(5), pages 909-924, 09-10.
  4. Oded Koenigsberg & Rajeev Kohli & Ricardo Montoya, 2010. "Package Size Decisions," Management Science, INFORMS, vol. 56(3), pages 485-494, March.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Asim Ansari & Ricardo Montoya & Oded Netzer, 2012. "Dynamic learning in behavioral games: A hidden Markov mixture of experts approach," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 475-503, December.

    Cited by:

    1. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    2. Peter Ebbes & Oded Netzer, 2022. "Using Social Network Activity Data to Identify and Target Job Seekers," Management Science, INFORMS, vol. 68(4), pages 3026-3046, April.
    3. Alina Ferecatu & Arnaud De Bruyn, 2022. "Understanding Managers’ Trade-Offs Between Exploration and Exploitation," Marketing Science, INFORMS, vol. 41(1), pages 139-165, January.

  2. Oded Koenigsberg & Rajeev Kohli & Ricardo Montoya, 2011. "The Design of Durable Goods," Marketing Science, INFORMS, vol. 30(1), pages 111-122, 01-02.

    Cited by:

    1. Sumitro Banerjee & David A. Soberman, 2013. "Product development capability and marketing strategy for new durable products," ESMT Research Working Papers ESMT-13-01, ESMT European School of Management and Technology.
    2. Esma Koca & Tommaso Valletti & Wolfram Wiesemann, 2021. "Designing Digital Rollovers: Managing Perceived Obsolescence through Release Times," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3698-3712, October.
    3. Lingfei Cai & Xuan Shi & Jingrong Zhu, 2019. "Quality Recovery or Low-End Recovery? Profitability and Environmental Impact of Durable Product Recovery," Sustainability, MDPI, vol. 11(6), pages 1-37, March.
    4. Jing, Fei & Lin, Jun & Zhang, Qiao & Qian, Yanjun, 2022. "New technology introduction and product rollover strategies," European Journal of Operational Research, Elsevier, vol. 302(1), pages 324-336.
    5. Hu, Shu & Tang, Yanli, 2024. "Impact of product sharing and heterogeneous consumers on manufacturers offering trade-in programs," Omega, Elsevier, vol. 122(C).
    6. Vishal V. Agrawal & Stylianos Kavadias & L. Beril Toktay, 2016. "The Limits of Planned Obsolescence for Conspicuous Durable Goods," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 216-226, May.
    7. Banerjee, Sumitro & Soberman, David A., 2013. "Product development capability and marketing strategy for new durable products," International Journal of Research in Marketing, Elsevier, vol. 30(3), pages 276-291.

  3. Ricardo Montoya & Oded Netzer & Kamel Jedidi, 2010. "Dynamic Allocation of Pharmaceutical Detailing and Sampling for Long-Term Profitability," Marketing Science, INFORMS, vol. 29(5), pages 909-924, 09-10.

    Cited by:

    1. Asim Ansari & Ricardo Montoya & Oded Netzer, 2012. "Dynamic learning in behavioral games: A hidden Markov mixture of experts approach," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 475-503, December.
    2. Eva Ascarza & Oded Netzer & Bruce G. S. Hardie, 2018. "Some Customers Would Rather Leave Without Saying Goodbye," Marketing Science, INFORMS, vol. 37(1), pages 54-77, January.
    3. Chang, Chun-Wei & Zhang, Jonathan Z., 2016. "The Effects of Channel Experiences and Direct Marketing on Customer Retention in Multichannel Settings," Journal of Interactive Marketing, Elsevier, vol. 36(C), pages 77-90.
    4. Stefan Stremersch & Jorge Gonzalez & Albert Valenti & Julian Villanueva, 2023. "The value of context-specific studies for marketing," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 50-65, January.
    5. Holtrop, Niels & Wieringa, Jakob & Gijsenberg, Maarten & Stern, P., 2016. "Competitive reactions to personal selling," Research Report 16004-MARK, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. George, Morris & Kumar, V. & Grewal, Dhruv, 2013. "Maximizing Profits for a Multi-Category Catalog Retailer," Journal of Retailing, Elsevier, vol. 89(4), pages 374-396.
    7. Hongju Liu & Qiang Liu & Pradeep K. Chintagunta, 2017. "Promotion Spillovers: Drug Detailing in Combination Therapy," Marketing Science, INFORMS, vol. 36(3), pages 382-401, May.
    8. Kappe, Eelco & Stadler Blank, Ashley & DeSarbo, Wayne S., 2018. "A random coefficients mixture hidden Markov model for marketing research," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 415-431.
    9. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    10. Mengxia Zhang & Lan Luo, 2023. "Can Consumer-Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp," Management Science, INFORMS, vol. 69(1), pages 25-50, January.
    11. Eva Ascarza & Bruce G. S. Hardie, 2013. "A Joint Model of Usage and Churn in Contractual Settings," Marketing Science, INFORMS, vol. 32(4), pages 570-590, July.
    12. Vidal-Sanz, Jose M. & Yildirim, Gökhan, 2012. "Valuing customer portfolios with endogenous mass-and-direct-marketing interventions using a stochastic dynamic programming decomposition," DEE - Working Papers. Business Economics. WB wb121304, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    13. Amirali Kani & Wayne S. DeSarbo & Duncan K. H. Fong, 2018. "A Factorial Hidden Markov Model for the Analysis of Temporal Change in Choice Models," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(3), pages 162-177, December.
    14. Sismeiro, Catarina & Mizik, Natalie & Bucklin, Randolph E., 2012. "Modeling coexisting business scenarios with time-series panel data: A dynamics-based segmentation approach," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 134-147.
    15. Gui Liberali & Alina Ferecatu, 2022. "Morphing for Consumer Dynamics: Bandits Meet Hidden Markov Models," Marketing Science, INFORMS, vol. 41(4), pages 769-794, July.
    16. Pancras, Joseph & Gauri, Dinesh K. & Talukdar, Debabrata, 2013. "Loss leaders and cross-category retailer pass-through: A Bayesian multilevel analysis," Journal of Retailing, Elsevier, vol. 89(2), pages 140-157.
    17. Rajkumar Venkatesan & Alexander Bleier & Werner Reinartz & Nalini Ravishanker, 2019. "Improving customer profit predictions with customer mindset metrics through multiple overimputation," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 771-794, September.
    18. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    19. Eva Ascarza & Scott A. Neslin & Oded Netzer & Zachery Anderson & Peter S. Fader & Sunil Gupta & Bruce G. S. Hardie & Aurélie Lemmens & Barak Libai & David Neal & Foster Provost & Rom Schrift, 2018. "In Pursuit of Enhanced Customer Retention Management: Review, Key Issues, and Future Directions," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 5(1), pages 65-81, March.
    20. Suppliet, Moritz, 2017. "Umbrella Branding in Pharmaceutical Markets," Other publications TiSEM be3f3c38-5e39-4a67-af57-8, Tilburg University, School of Economics and Management.
    21. Mark, Tanya & Bulla, Jan & Niraj, Rakesh & Bulla, Ingo & Schwarzwäller, Wolfgang, 2019. "Catalogue as a tool for reinforcing habits: Empirical evidence from a multichannel retailer," International Journal of Research in Marketing, Elsevier, vol. 36(4), pages 528-541.
    22. Nikolopoulos, Konstantinos & Buxton, Samantha & Khammash, Marwan & Stern, Philip, 2016. "Forecasting branded and generic pharmaceuticals," International Journal of Forecasting, Elsevier, vol. 32(2), pages 344-357.
    23. Mark, Tanya & Lemon, Katherine N. & Vandenbosch, Mark & Bulla, Jan & Maruotti, Antonello, 2013. "Capturing the Evolution of Customer–Firm Relationships: How Customers Become More (or Less) Valuable Over Time," Journal of Retailing, Elsevier, vol. 89(3), pages 231-245.
    24. Xiaojing Dong & Ramkumar Janakiraman & Ying Xie, 2014. "The Effect of Survey Participation on Consumer Behavior: The Moderating Role of Marketing Communication," Marketing Science, INFORMS, vol. 33(4), pages 567-585, July.
    25. Suppliet, Moritz, 2017. "Umbrella Branding in Pharmaceutical Markets," Discussion Paper 2017-034, Tilburg University, Tilburg Law and Economic Center.
    26. Paul Valentin Ngobo, 2017. "The trajectory of customer loyalty: an empirical test of Dick and Basu’s loyalty framework," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 229-250, March.
    27. Benjamin Avanzi & Greg Taylor & Bernard Wong & Alan Xian, 2020. "Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework," Papers 2003.13888, arXiv.org, revised May 2020.
    28. Jonathan Z. Zhang & Oded Netzer & Asim Ansari, 2014. "Dynamic Targeted Pricing in B2B Relationships," Marketing Science, INFORMS, vol. 33(3), pages 317-337, May.
    29. Qiang Liu & Sachin Gupta & Sriram Venkataraman & Hongju Liu, 2016. "An Empirical Model of Drug Detailing: Dynamic Competition and Policy Implications," Management Science, INFORMS, vol. 62(8), pages 2321-2340, August.
    30. S. Buxton & Kostas Nikolopoulos & M. Khammash & P. Stern, 2015. "Modelling and Forecasting Branded and Generic Pharmaceutical Life Cycles: Assessment of the Number of Dispensed Units," Working Papers 15004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    31. Eric M. Schwartz & Eric T. Bradlow & Peter S. Fader, 2014. "Model Selection Using Database Characteristics: Developing a Classification Tree for Longitudinal Incidence Data," Marketing Science, INFORMS, vol. 33(2), pages 188-205, March.
    32. David A. Schweidel & Eric T. Bradlow & Peter S. Fader, 2011. "Portfolio Dynamics for Customers of a Multiservice Provider," Management Science, INFORMS, vol. 57(3), pages 471-486, March.
    33. V. Kumar & S. Sriram & Anita Luo & Pradeep K. Chintagunta, 2011. "Assessing the Effect of Marketing Investments in a Business Marketing Context," Marketing Science, INFORMS, vol. 30(5), pages 924-940, September.
    34. Suppliet, Moritz, 2017. "Umbrella Branding in Pharmaceutical Markets," Other publications TiSEM 6ee607fc-8602-4270-a076-3, Tilburg University, School of Economics and Management.
    35. 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.
    36. Avanzi, Benjamin & Taylor, Greg & Wong, Bernard & Xian, Alan, 2021. "Modelling and understanding count processes through a Markov-modulated non-homogeneous Poisson process framework," European Journal of Operational Research, Elsevier, vol. 290(1), pages 177-195.
    37. Raghuram Iyengar & Kamel Jedidi, 2012. "A Conjoint Model of Quantity Discounts," Marketing Science, INFORMS, vol. 31(2), pages 334-350, March.
    38. Chen, Xian & Bai, Shuotian & Wei, Yongqin & Zhao, Yanhui & Yan, Peng & Jiang, Hai, 2023. "Passenger engagement dynamics in ride-hailing services: A heterogeneous hidden Markov approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    39. Clarence Lee & Elie Ofek & Thomas J. Steenburgh, 2018. "Personal and Social Usage: The Origins of Active Customers and Ways to Keep Them Engaged," Management Science, INFORMS, vol. 64(6), pages 2473-2495, June.
    40. Christof Naumzik & Stefan Feuerriegel & Markus Weinmann, 2022. "I Will Survive: Predicting Business Failures from Customer Ratings," Marketing Science, INFORMS, vol. 41(1), pages 188-207, January.

  4. Oded Koenigsberg & Rajeev Kohli & Ricardo Montoya, 2010. "Package Size Decisions," Management Science, INFORMS, vol. 56(3), pages 485-494, March.

    Cited by:

    1. Yonezawa, Koichi & Richards, Timothy J., 2016. "Competitive Package Size Decisions," Journal of Retailing, Elsevier, vol. 92(4), pages 445-469.
    2. Anja Lambrecht & Katja Seim & Naufel Vilcassim & Amar Cheema & Yuxin Chen & Gregory Crawford & Kartik Hosanagar & Raghuram Iyengar & Oded Koenigsberg & Robin Lee & Eugenio Miravete & Ozge Sahin, 2012. "Price discrimination in service industries," Marketing Letters, Springer, vol. 23(2), pages 423-438, June.
    3. Peng, Jing & Zhang, Jianghua & Nie, Tengfei & Zhu, Yangguang & Du, Shaofu, 2020. "Pricing and package size decisions in crowdfunding," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    4. Dhruv Goel & Anushka Goyal & Ishaan Sand, 2024. "Quantity surcharge, competition and package size: evidence from India," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 452-460, October.
    5. Arzi Adbi & Ajay Bhaskarabhatla & Chirantan Chatterjee, 2020. "Stakeholder Orientation and Market Impact: Evidence from India," Journal of Business Ethics, Springer, vol. 161(2), pages 479-496, January.
    6. Shubhranshu Singh, 2017. "Competition in Corruptible Markets," Marketing Science, INFORMS, vol. 36(3), pages 361-381, May.
    7. Wilfred Amaldoss & Woochoel Shin, 2011. "Competing for Low-End Markets," Marketing Science, INFORMS, vol. 30(5), pages 776-788, September.
    8. Sanjay Jain, 2012. "Marketing of Vice Goods: A Strategic Analysis of the Package Size Decision," Marketing Science, INFORMS, vol. 31(1), pages 36-51, January.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Ricardo Montoya should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.