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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 Blanchard & Wayne Desarbo & Nukhet Harmancioglu, 2012. "Identifying Consumer Heterogeneity in Unobserved Categories," Post-Print hal-00629005, HAL.
  2. Selin Atalay & Wayne Desarbo & Simon 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 Desarbo & S. Blanchard & N. Harmancioglu, 2009. "Capturing Consumer Heterogeneity in the Unsupervized Categorization Process," Post-Print hal-00495579, HAL.
  4. Selin Atalay & Wayne Desarbo & Simon Blanchard & David Lebaron, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data," Post-Print hal-00458380, HAL.
  5. Selin Atalay & Wayne Desarbo & Simon 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, Oxford University Press, 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. Simon J. Blanchard & Kurt A. Carlson & Jamie D. Hyodo, 2016. "The Favor Request Effect: Requesting a Favor from Consumers to Seal the Deal," Journal of Consumer Research, Oxford University Press, vol. 42(6), pages 985-1001.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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, Oxford University Press, 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 Blanchard & Wayne Desarbo & Nukhet Harmancioglu, 2012. "Identifying Consumer Heterogeneity in Unobserved Categories," Post-Print hal-00629005, HAL.

    Cited by:

    1. 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.
    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. 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 Desarbo & Simon 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. 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 Desarbo & Simon Blanchard & David Lebaron, 2008. "Estimating Multiple Consumer Segment Ideal Points from Context‐Dependent Survey Data," Post-Print hal-00458380, HAL.

    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. 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. 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. 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.
    2. Rota Bulò, Samuel & Pelillo, Marcello, 2017. "Dominant-set clustering: A review," European Journal of Operational Research, Elsevier, vol. 262(1), pages 1-13.
    3. 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.

  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.

    Cited by:

    1. Donald R. Lehmann & Jeffrey R. Parker, 2017. "Disadoption," AMS Review, Springer;Academy of Marketing Science, vol. 7(1), pages 36-51, June.
    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. 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.

  4. 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.
  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.

    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. 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.

  6. 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.
  7. 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, Oxford University Press, vol. 35(1), pages 142-153, March.
    See citations under working paper version above.

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