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Simon J. Blanchard

Personal Details

First Name:Simon
Middle Name:J.
Last Name:Blanchard
Suffix:
RePEc Short-ID:pbl168
[This author has chosen not to make the email address public]
http://www9.georgetown.edu/faculty/sjb247/

Affiliation

McDonough School of Business
Georgetown University

Washington, District of Columbia (United States)
http://msb.georgetown.edu/
RePEc:edi:sbgeous (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Selin Atalay & Simon J. Blanchard & Wayne S. Desarbo & Nukhet Harmancioglu, 2012. "Identifying Consumer Heterogeneity in Unobserved Categories," Post-Print hal-00629005, HAL.
  2. Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard, 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Post-Print hal-00458377, HAL.
  3. Selin Atalay & Wayne S. Desarbo & S. Blanchard & N. Harmancioglu, 2009. "Capturing Consumer Heterogeneity in the Unsupervized Categorization Process," Post-Print hal-00495579, HAL.
  4. Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard & David Lebaron, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data," Post-Print hal-00458380, HAL.
  5. Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard, 2008. "A New Spatial Classification Methodology for Simultaneous Segmentation, Targeting, and Positioning (STP Analysis) for Marketing Research," Post-Print hal-00458385, HAL.

Articles

  1. Aaron M. Garvey & Simon J. Blanchard & Karen Page Winterich, 2017. "Turning unplanned overpayment into a status signal: how mentioning the price paid repairs satisfaction," Marketing Letters, Springer, vol. 28(1), pages 71-83, March.
  2. Keri L. Kettle & Remi Trudel & Simon J. Blanchard & Gerald Häubl, 2016. "Repayment Concentration and Consumer Motivation to Get Out of Debt," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(3), pages 460-477.
  3. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
  4. Rebecca Hamilton & Debora Thompson & Zachary Arens & Simon Blanchard & Gerald Häubl & P. Kannan & Uzma Khan & Donald Lehmann & Margaret Meloy & Neal Roese & Manoj Thomas, 2014. "Consumer substitution decisions: an integrative framework," Marketing Letters, Springer, vol. 25(3), pages 305-317, September.
  5. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
  6. Simon Blanchard & Wayne DeSarbo & A. Atalay & Nukhet Harmancioglu, 2012. "Identifying consumer heterogeneity in unobserved categories," Marketing Letters, Springer, vol. 23(1), pages 177-194, March.
  7. Simon Blanchard & Daniel Aloise & Wayne DeSarbo, 2012. "The Heterogeneous P-Median Problem for Categorization Based Clustering," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 741-762, October.
  8. DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J., 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3217-3230, June.
  9. Wayne S. DeSarbo & A. Selin Atalay & David LeBaron & Simon J. Blanchard, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context-Dependent Survey Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(1), pages 142-153, 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.

Working papers

  1. Selin Atalay & Simon J. Blanchard & Wayne S. Desarbo & Nukhet Harmancioglu, 2012. "Identifying Consumer Heterogeneity in Unobserved Categories," Post-Print hal-00629005, HAL.

    Cited by:

    1. Saboo, Alok R. & Kumar, V. & Ramani, Girish, 2016. "Evaluating the impact of social media activities on human brand sales," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 524-541.
    2. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
    3. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    4. Gabriele Pizzi & Gian Luca Marzocchi, 2020. "Consumer-defined assortments: application of card-sorting to category management," Italian Journal of Marketing, Springer, vol. 2020(1), pages 67-84, March.
    5. Simon Blanchard & Daniel Aloise & Wayne DeSarbo, 2012. "The Heterogeneous P-Median Problem for Categorization Based Clustering," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 741-762, October.

  2. Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard, 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Post-Print hal-00458377, HAL.

    Cited by:

    1. Blasius, J. & Greenacre, M. & Groenen, P.J.F. & van de Velden, M., 2009. "Special issue on correspondence analysis and related methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3103-3106, June.
    2. Junghyun Park & Minki Kim & Pradeep K Chintagunta, 2022. "Mapping Consumers’ Context-Dependent Consumption Preferences: A Multidimensional Unfolding Approach [An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations o," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(2), pages 202-228.
    3. Tomoya Okubo & Shin-ichi Mayekawa, 2015. "Modeling Viewpoint Shifts in Probabilistic Choice," Psychometrika, Springer;The Psychometric Society, vol. 80(2), pages 412-427, June.

  3. Selin Atalay & Wayne S. Desarbo & Simon J. Blanchard & David Lebaron, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data," Post-Print hal-00458380, HAL.

    Cited by:

    1. Junghyun Park & Minki Kim & Pradeep K Chintagunta, 2022. "Mapping Consumers’ Context-Dependent Consumption Preferences: A Multidimensional Unfolding Approach [An Empirical Comparison of Logit Choice Models with Discrete versus Continuous Representations o," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(2), pages 202-228.
    2. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    3. Minki Kim & Pradeep Chintagunta, 2012. "Investigating brand preferences across social groups and consumption contexts," Quantitative Marketing and Economics (QME), Springer, vol. 10(3), pages 305-333, September.

Articles

  1. Keri L. Kettle & Remi Trudel & Simon J. Blanchard & Gerald Häubl, 2016. "Repayment Concentration and Consumer Motivation to Get Out of Debt," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(3), pages 460-477.

    Cited by:

    1. Markus Dertwinkel-Kalt & Holger Gerhardt & Gerhard Riener & Frederik Schwerter & Louis Strang, 2021. "Concentration Bias in Intertemporal Choice," ECONtribute Discussion Papers Series 076, University of Bonn and University of Cologne, Germany.
    2. Mohammed Hazzouri & Kelley J. Main, 2018. "The effect of control priming on irresponsible financial behavior," Marketing Letters, Springer, vol. 29(2), pages 207-223, June.
    3. Ben Hamilton, 2023. "Two steps forward, one step back? Quantifying the pecuniary costs of debt account aversion and the debt snowball," Southern Economic Journal, John Wiley & Sons, vol. 89(3), pages 830-859, January.
    4. Linda Hagen & Kosuke Uetake & Nathan Yang & Bryan Bollinger & Allison J. B. Chaney & Daria Dzyabura & Jordan Etkin & Avi Goldfarb & Liu Liu & K. Sudhir & Yanwen Wang & James R. Wright & Ying Zhu, 2020. "How can machine learning aid behavioral marketing research?," Marketing Letters, Springer, vol. 31(4), pages 361-370, December.
    5. Simon J Blanchard & Jacob Goldenberg & Koen Pauwels & David A Schweidel, 2022. "Promoting Data Richness in Consumer Research: How to Develop and Evaluate Articles with Multiple Data Sources [The Critical Role of Methodological Pluralism for Policy-Relevant Empirical Marketing ," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(2), pages 359-372.
    6. Huang, Szu-chi & Jin, Liyin & Zhang, Ying, 2017. "Step by step: Sub-goals as a source of motivation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 141(C), pages 1-15.

  2. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.

    Cited by:

    1. Zhu, Shan & Hu, Xiangpei & Huang, Kai & Yuan, Yufei, 2021. "Optimization of product category allocation in multiple warehouses to minimize splitting of online supermarket customer orders," European Journal of Operational Research, Elsevier, vol. 290(2), pages 556-571.
    2. Radek Hrebik & Jaromir Kukal & Josef Jablonsky, 2019. "Optimal unions of hidden classes," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 161-177, March.
    3. Huerta-Muñoz, Diana L. & Ríos-Mercado, Roger Z. & Ruiz, Rubén, 2017. "An iterated greedy heuristic for a market segmentation problem with multiple attributes," European Journal of Operational Research, Elsevier, vol. 261(1), pages 75-87.
    4. Aktaş, Dilay & Lokman, Banu & İnkaya, Tülin & Dejaegere, Gilles, 2024. "Cluster ensemble selection and consensus clustering: A multi-objective optimization approach," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1065-1077.
    5. Chen, Yi-Ting & Sun, Edward W. & Lin, Yi-Bing, 2020. "Merging anomalous data usage in wireless mobile telecommunications: Business analytics with a strategy-focused data-driven approach for sustainability," European Journal of Operational Research, Elsevier, vol. 281(3), pages 687-705.
    6. Rota Bulò, Samuel & Pelillo, Marcello, 2017. "Dominant-set clustering: A review," European Journal of Operational Research, Elsevier, vol. 262(1), pages 1-13.
    7. Karmitsa, Napsu & Bagirov, Adil M. & Taheri, Sona, 2017. "New diagonal bundle method for clustering problems in large data sets," European Journal of Operational Research, Elsevier, vol. 263(2), pages 367-379.
    8. Gambella, Claudio & Ghaddar, Bissan & Naoum-Sawaya, Joe, 2021. "Optimization problems for machine learning: A survey," European Journal of Operational Research, Elsevier, vol. 290(3), pages 807-828.

  3. Rebecca Hamilton & Debora Thompson & Zachary Arens & Simon Blanchard & Gerald Häubl & P. Kannan & Uzma Khan & Donald Lehmann & Margaret Meloy & Neal Roese & Manoj Thomas, 2014. "Consumer substitution decisions: an integrative framework," Marketing Letters, Springer, vol. 25(3), pages 305-317, September.

    Cited by:

    1. Simon, Françoise, 2016. "Consumer adoption of No Junk Mail stickers: An extended planned behavior model assessing the respective role of store flyer attachment and perceived intrusiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 29(C), pages 12-21.
    2. Coby Morvinski, 2022. "The effect of unavailable donation opportunities on donation choice," Marketing Letters, Springer, vol. 33(1), pages 45-60, March.
    3. Gopal Das & Shailendra Pratap Jain & Durairaj Maheswaran & Rebecca J. Slotegraaf & Raji Srinivasan, 2021. "Pandemics and marketing: insights, impacts, and research opportunities," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 835-854, September.
    4. Zachary G. Arens & Rebecca W. Hamilton, 2018. "The substitution strategy dilemma: substitute selection versus substitute effectiveness," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 130-146, January.
    5. Sergio Andres Osuna Ramirez & Cleopatra Veloutsou & Anna Morgan-Thomas, 2017. "A Systematic Literature Review of Brand Commitment: Definitions, Perspectives and Dimensions," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 3(3), pages 305-332, July.
    6. Donald R. Lehmann & Jeffrey R. Parker, 2017. "Disadoption," AMS Review, Springer;Academy of Marketing Science, vol. 7(1), pages 36-51, June.
    7. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    8. Rebecca Hamilton & Debora Thompson & Sterling Bone & Lan Nguyen Chaplin & Vladas Griskevicius & Kelly Goldsmith & Ronald Hill & Deborah Roedder John & Chiraag Mittal & Thomas O’Guinn & Paul Piff & Car, 2019. "The effects of scarcity on consumer decision journeys," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 532-550, May.
    9. Erdem Dogukan Yilmaz & Ivana Naumovska & Milan Miric, 2023. "Does imitation increase or decrease demand for an original product? Understanding the opposing effects of discovery and substitution," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 639-671, March.
    10. Ashutosh Sarkar & Debadyuti Das & Arindam Debroy, 2024. "Panic Buying, Product Substitution and Channel-Shifting Behaviour During Pandemic," IIM Kozhikode Society & Management Review, , vol. 13(1), pages 25-43, January.
    11. Xu, Xiaobing & Chen, Rong & Zhang, Jin, 2019. "Effectiveness of trade-ins and price discounts: A moderating role of substitutability," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 80-89.

  4. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.

    Cited by:

    1. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    2. Rebecca Hamilton & Debora Thompson & Zachary Arens & Simon Blanchard & Gerald Häubl & P. Kannan & Uzma Khan & Donald Lehmann & Margaret Meloy & Neal Roese & Manoj Thomas, 2014. "Consumer substitution decisions: an integrative framework," Marketing Letters, Springer, vol. 25(3), pages 305-317, September.

  5. Simon Blanchard & Wayne DeSarbo & A. Atalay & Nukhet Harmancioglu, 2012. "Identifying consumer heterogeneity in unobserved categories," Marketing Letters, Springer, vol. 23(1), pages 177-194, March.
    See citations under working paper version above.
  6. Simon Blanchard & Daniel Aloise & Wayne DeSarbo, 2012. "The Heterogeneous P-Median Problem for Categorization Based Clustering," Psychometrika, Springer;The Psychometric Society, vol. 77(4), pages 741-762, October.

    Cited by:

    1. Daniel Aloise & Nielsen Castelo Damasceno & Nenad Mladenović & Daniel Nobre Pinheiro, 2017. "On Strategies to Fix Degenerate k-means Solutions," Journal of Classification, Springer;The Classification Society, vol. 34(2), pages 165-190, July.
    2. Simon Blanchard & Wayne DeSarbo, 2013. "A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification," Psychometrika, Springer;The Psychometric Society, vol. 78(2), pages 322-340, April.
    3. Santi, Éverton & Aloise, Daniel & Blanchard, Simon J., 2016. "A model for clustering data from heterogeneous dissimilarities," European Journal of Operational Research, Elsevier, vol. 253(3), pages 659-672.
    4. Gabriele Pizzi & Gian Luca Marzocchi, 2020. "Consumer-defined assortments: application of card-sorting to category management," Italian Journal of Marketing, Springer, vol. 2020(1), pages 67-84, March.
    5. Michael Brusco & Douglas Steinley, 2015. "Affinity Propagation and Uncapacitated Facility Location Problems," Journal of Classification, Springer;The Classification Society, vol. 32(3), pages 443-480, October.

  7. DeSarbo, Wayne S. & Selin Atalay, A. & Blanchard, Simon J., 2009. "A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3217-3230, June.
    See citations under working paper version above.
  8. Wayne S. DeSarbo & A. Selin Atalay & David LeBaron & Simon J. Blanchard, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context-Dependent Survey Data," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 35(1), pages 142-153, March.
    See citations under working paper version above.

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