Consumer optimization problem solving / Alfred L Norman, The University of Texas at Austin, USA.

Format:

Book

Author/Creator:

Norman, A. L. (Alfred L.), author.

Language:

English

Subjects (All):

Consumer behavior--Econometric models.

Consumer behavior.

Consumption (Economics)--Econometric models.

Consumption (Economics).

Physical Description:

1 online resource (250 p.)

Place of Publication:

New Jersey : World Scientific, [2015]

Language Note:

English

Summary:

What algorithms are tractable depends on the speed of the processor. Given the speed of digital computers, polynomial algorithms are considered tractable. But, a human can take several seconds to make one binary comparison between two pens. Given this slow speed, sublinear algorithms are considered tractable for an unaided human and this defines Simon's concept of bounded rationality. Humans make simplifications to solve the intractable consumer optimization problem. Consumers search for goods and services item-by-item, which greatly reduces the number of alternatives to consider. In addition, consumers have operators that can process a set in a single operation. Also, consumers budget by incremental adjustment. In considering consumer performance the question to ask is how close to optimal is consumer performance and not whether consumers optimize as a yes/no question. Given the ordinal nature of utility theory this creates a basic measurement problem. The book presents a review of the literature on consumer performance. This is an opportune time to study consumer procedures because the Internet provides a media to make substantial improvements in consumer performance. The book includes a case study comparing the performance of a digital camera selection code with the advice of sales people. A field experiment demonstrates that the software code provides better advice.

Contents:

Preface

Acknowledgement

Introduction

Computational complexity

Ordering

Computational complexity : decision rules

Repeated price search

Repeated item search : forecasting

Budgeting

How close to optimal?

Improving consumer performance

Appendix A CC of the discrete two-stage budgeting problem

Bibliography

Index.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Includes bibliographical references and index.

Description based on print version record.

ISBN:

981-4635-29-4

OCLC:

900633243