SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability
16 references·1 citing·45 second hop
A neural-embedded discrete choice model: Learning taste representation with strengthened interpretability (2022)A neural-embedded discrete choice model: …Enhancing discrete choice models with representation learning (2020)Enhancing discrete choice mod…Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling (2018)Comparison of Four Types of A…A comparative study of machine learning classifiers for modeling travel mode choice (2017)A comparative study of machin…Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies (2011)Allowing for heterogeneous de…Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression (2004)Predicting and explaining pat…A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area (2004)A parameterized consideration…The Mixed Logit model: The state of practice (2003)The Mixed Logit model: The st…Hybrid Choice Models: Progress and Challenges (2002)Hybrid Choice Models: Progres…Mixed MNL models for discrete response (2000)Mixed MNL models for discrete…A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice (2000)A comparison of the predictiv…On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models (1994)On Using Demographic Variable…An Empirical Analysis of Latitude of Price Acceptance in Consumer Package Goods (1994)An Empirical Analysis of Lati…The Discounting of Discounts and Promotion Thresholds (1992)The Discounting of Discounts …A Reference Price Model of Brand Choice for Frequently Purchased Products (1986)A Reference Price Model of Br…Prospect Theory: An Analysis of Decision under Risk (1979)Prospect Theory: An Analysis …Buyers' Subjective Perceptions of Price (1973)Buyers' Subjective Perception…Large Language Models Predict Transportation Mode Choice Behavior for a Variety of Alternative Sets (2025)Large Language Models Predict…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with Simulation (2003)Applications of Simulation Methods in Environmental and Resource Economics (2005)Where do cyclists ride? A route choice model developed with revealed preference GPS data (2012)Contemporary Guidance for Stated Preference Studies (2017)A Logit Model of Brand Choice Calibrated on Scanner Data (1983)Prospect theory: An analysis of decision under risk (1988)Whence Consumer Loyalty? (1999)Whence Consumer Loyalty? (1999)An Examination of Moderator Effects in the Four-Stage Loyalty Model (2006)Pricing: Making Profitable Decisions (1980)Self-generated validity and other effects of measurement on belief, attitude, intention, and behavior. (1988)The Effect of Price, Brand Name, and Store Name on Buyers' Perceptions of Product Quality: An Integrative Review (1989)UPC Scanner Pricing Systems: Are They Accurate? (1994)Consumer price sensitivity and price thresholds14 14Sangman Han is Associate Professor, School of Business Administration Sungkyunkwan University, 53 3-ga, Myongnyun-dong, Chongno-gu, Seoul (phone: 82-2-760-0456, email: smhan@yurim.skku.ac.kr). Sunil Gupta is Meyer Feldberg Professor of Business (phone: 212-854-3467, email: sg37@columbia.edu) and Donald R. Lehmann is George E. Warren Professor (phone: 212-854-3465, email: drl2@columbia.edu), both at the Graduate School of Business, Columbia University, New York, NY 10027. All correspondence should be directed to Sunil Gupta. (2001)Cents or Percent? The Effects of Promotion Framing on Price Expectations and Choice (2007)The Theory of Buyer Behavior (1971)Conditional logit analysis of qualitative choice behavior (1972)Distinguishing Coupon Proneness from Value Consciousness: An Acquisition-Transaction Utility Theory Perspective (1990)Loss Aversion in Riskless Choice: A Reference-Dependent Model (1991)The evolution and future of national customer satisfaction index models (2001)Economic Choices (2001)Quasi-random maximum simulated likelihood estimation of the mixed multinomial logit model (2001)Using Discrete Choice Experiments to Value Health and Health Care (2007)The state of the art of environmental valuation with discrete choice experiments (2010)Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice (2018)Empirical research on nominal exchange rates (1995)Measuring Market Power in the Ready-to-Eat Cereal Industry (1998)A latent class model for discrete choice analysis: contrasts with mixed logit (2003)Latent Structure Analysis. (1969)Issues and Advances in Segmentation Research (1978)A Probabilistic Choice Model for Market Segmentation and Elasticity Structure (1989)Success in High-Technology Markets: Is Marketing Capability Critical? (1999)International market segmentation: issues and perspectives (2002)Consumer Shopping and Spending across Retail Formats (2004)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Travel and the Built Environment (2010)Is your dataset big enough? Sample size requirements when using artificial neural networks for discrete choice analysis (2018)Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)The Framing of Decisions and the Psychology of Choice (1981)Advances in prospect theory: Cumulative representation of uncertainty (1992)Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance (2007)The Price Bundling of Services: A Normative Framework (1987)Agency and Trust Mechanisms in Consumer Satisfaction and Loyalty Judgments (2000)
this work references cited by second hop

References

  • 1979Prospect Theory: An Analysis of Decision under Risk48,459 cited
  • 2000Mixed MNL models for discrete response4,354 cited
  • 2003The Mixed Logit model: The state of practice2,044 cited
  • 1986A Reference Price Model of Brand Choice for Frequently Purchased Products934 cited
  • 2002Hybrid Choice Models: Progress and Challenges797 cited
  • 1973Buyers' Subjective Perceptions of Price731 cited
  • 1994An Empirical Analysis of Latitude of Price Acceptance in Consumer Package Goods448 cited
  • 2017A comparative study of machine learning classifiers for modeling travel mode choice423 cited
  • 1994On Using Demographic Variables to Determine Segment Membership in Logit Mixture Models385 cited
  • 1992The Discounting of Discounts and Promotion Thresholds359 cited
  • 2011Allowing for heterogeneous decision rules in discrete choice models: an approach and four case studies213 cited
  • 2004Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression204 cited
  • 2004A parameterized consideration set model for airport choice: an application to the San Francisco Bay Area196 cited
  • 2000A comparison of the predictive potential of artificial neural networks and nested logit models for commuter mode choice182 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2018Comparison of Four Types of Artificial Neural Network and a Multinomial Logit Model for Travel Mode Choice Modeling174 cited
  • 2020Enhancing discrete choice models with representation learning152 cited
  • Cited by

    • 2025Large Language Models Predict Transportation Mode Choice Behavior for a Variety of Alternative Sets5 cited