Demand sensing in e-business

In this paper, we identify various models from the optimization and econometrics literature that can potentially help sense customer demand in the e-business era. While modelling reality is a difficult task, many of these models come close to modelling the customer's decision-making process. We provide a brief overview of these techniques, interspersing the discussion occasionally with a tutorial introduction of the underlying concepts.

[1]  G. Urban,et al.  You have printed the following article : Modeling Multiattribute Utility , Risk , and Belief Dynamics for New Consumer Durable Brand Choice , 2007 .

[2]  N. S. Cardell,et al.  Measuring the societal impacts of automobile downsizing , 1980 .

[3]  T. Wales,et al.  Estimation of consumer demand systems with binding non-negativity constraints☆ , 1983 .

[4]  M. Jaksic,et al.  Bullwhip Effect in a Supply Chain , 2007 .

[5]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[6]  Bart J. Bronnenberg,et al.  Limited Choice Sets, Local Price Response, and Implied Measures of Price Competition , 1996 .

[7]  M. Ben-Akiva,et al.  Discrete choice models with latent choice sets , 1995 .

[8]  L. Thurstone.  A law of comparative judgment. , 1994 .

[9]  Kenneth Lange,et al.  Numerical analysis for statisticians , 1999 .

[10]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[11]  Rick L. Andrews,et al.  Studying Consideration Effects in Empirical Choice Models Using Scanner Panel Data , 1995 .

[12]  Axel van Lamsweerde,et al.  Learning machine learning , 1991 .

[13]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[14]  Gary J. Russell,et al.  A Probabilistic Choice Model for Market Segmentation and Elasticity Structure , 1989 .

[15]  John Roberts,et al.  Development and Testing of a Model of Consideration Set Composition , 1991 .

[16]  J. Boyd,et al.  THE EFFECT OF FUEL ECONOMY STANDARDS ON THE U.S. AUTOMOTIVE MARKET: AN HEDONIC DEMAND ANALYSIS , 1980 .

[17]  K. McConnell,et al.  Count Data Models and the Problem of Zeros in Recreation Demand Analysis , 1996 .

[18]  A. Freeman.  A Fuzzy Set Model of Search and Consideration with an Application to an Online Market , 2003 .

[19]  Daniel McFadden,et al.  Estimation Techniques for the Elasticity of Substitution and Other Production Parameters , 1978 .

[20]  Tad Hogg,et al.  Using unsuccessful auction bids to identify latent demand , 2000, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[21]  Dimitri P. Bertsekas,et al.  Nonlinear Programming , 1997 .

[22]  Y. Narahari,et al.  Learning dynamic prices in electronic retail markets with customer segmentation , 2006, Ann. Oper. Res..

[23]  K. Train.  Discrete Choice Methods with Simulation , 2003 .

[24]  Donald G. Morrison,et al.  Making the Cut: Modeling and Analyzing Choice Set Restriction in Scanner Panel Data , 1995 .

[25]  D. McFadden,et al.  Consumers' Evaluation of New Products: Learning from Self and Others , 1996, Journal of Political Economy.

[26]  C. Manski.  The structure of random utility models , 1977 .

[27]  J. Chipman.  The Foundations of Utility , 1960 .

[28]  A. Mitra,et al.  Advertising and the stability of consideration sets over multiple purchase occasions , 1995 .

[29]  P. Glynn,et al.  Opportunities and challenges in using online preference data for vehicle pricing: A case study at General Motors , 2006 .

[30]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[31]  Amitava Bagchi,et al.  Internet Auctions: Some Issues and Problems , 2003, IWDC.

[32]  Diatha Krishna Sundar,et al.  Multi-Agent Learning in Dynamic Pricing Games of Service Markets , 2003 .

[33]  Siddhartha Chib,et al.  Markov chain Monte Carlo and models of consideration set and parameter heterogeneity , 1998 .

[34]  Allan D. Shocker,et al.  Consideration set influences on consumer decision-making and choice: Issues, models, and suggestions , 1991 .

[35]  A. Rangaswamy,et al.  A Fuzzy Set Model of Search and Consideration with an Application to an Online Market , 2003 .

[36]  A. Fotheringham.  Note---Consumer Store Choice and Choice Set Definition , 1988 .

[37]  John Hulland.  An Empirical Investigation of Consideration Set Formation , 1992 .

[38]  Pradeep K. Chintagunta,et al.  Investigating Heterogeneity in Brand Preferences in Logit Models for Panel Data , 1991 .

[39]  Roger H. von Haefen,et al.  Latent Consideration Sets and Continuous Demand System Models , 2003 .