Adaptive Self-Explication of Multiattribute Preferences

نویسندگان

  • Oded Netzer
  • V. Srinivasan
چکیده

Vol. XLVIII (February 2011), 140 –156 *Oded Netzer is the Philip H. Geier Associate Professor of Business, Columbia Business School, Columbia University (e-mail: [email protected]). V. Srinivasan is Adams Distinguished Professor of Management, Graduate School of Business, Stanford University (e-mail: seenu@stanford. edu). The authors thank Pradeep Bansal, Yuval Efrati, Ping Li, Mingjie Lin, Anita Rao, Rom Schrift, Olivier Toubia, and seminar participants at Columbia University, Hebrew University, Marketing Modelers Group NYC, Marketing Science Institute, Stanford-Berkeley Marketing Colloquium, University of California–Los Angeles, University of Georgia, and Yale Center for Customer Insights for comments on previous versions of this research. John Hauser served as associate editor for this article. ODED NETZER and V. SRINIVASAN*

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Eliciting preferences on multiattribute societies with a Choquet integral

This paper aims at reexamining the construction of indicators of standards of living, by focussing on the challenges raised by the subjectivity and the multidimensionality of living conditions. For that purpose, we propose to apply Choquet integral-based multiattribute value theory to the elicitation, from rankings of multiattribute hypothetical societies, of individual’s preferences on differe...

متن کامل

Evaluating the Benefits of Generalized Additive Representation in a Multiattribute Auction Setting

We compare the economic efficiency achieved by multiattribute auctions that use an accurate GAI modeling of preferences, with a multiattribute auction that is limited to an additive representation. We draw random GAI-structured utility functions with various internal structures, generate additive functions that approximate the GAI utility, and compare the performance of the auctions using the t...

متن کامل

Preference Representation for Multi-Unit Multiattribute Auctions

The problem of multi-unit multiattribute trading, though useful in practical procurement settings, has been rarely addressed in auction literature. We present a general framework to structure specifications of preferences over multi-unit multiattribute outcomes, allowing flexible tradeoffs between expressiveness and compactness of representation. Next, we use this framework to propose an auctio...

متن کامل

Preference Consistency in Multiattribute Decision Making

A number of approaches for multiattribute selection decisions exist, each with certain advantages and disadvantages. One method that has recently been developed, called the Hypothetical Equivalents and Inequivalents Method (HEIM) supports a decision maker (DM) by implicitly determining the importances a DM places on attributes using a series of simple preference statements. In this and other mu...

متن کامل

Information Feedback and Efficiency in Multiattribute Double Auctions

We investigate tradeoffs among expressiveness, operational cost, and economic efficiency for a class of multiattribute double-auction markets. To enable polynomial-time clearing and information feedback operations, we restrict the bidding language to a form of multiattribute OR-of-XOR expressions. We then consider implications of this restriction in environments where bidders’ preferences lie w...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007