Repeated Price Search
Consumers check few sites in online purchases. Previous research and experiments we perform demonstrate that consumers can not calculate the optimal strategy for price search. They use heuristics whose performance is better than random and less than optimal. To investigate online price search perfor...
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Published in: | Computational economics Vol. 39; no. 3; pp. 243 - 257 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Boston
Springer US
01-03-2012
Society for Computational Economics Springer Nature B.V |
Series: | Computational Economics |
Subjects: | |
Online Access: | Get full text |
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Summary: | Consumers check few sites in online purchases. Previous research and experiments we perform demonstrate that consumers can not calculate the optimal strategy for price search. They use heuristics whose performance is better than random and less than optimal. To investigate online price search performance we survey student online textbook purchases. Students achieve good performance because they start with a good strategy and online market organization of marketplace and meta-search sites. An important factor is that algorithms at sites searched perform calculations that reduce the computational complexity of the search. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 0927-7099 1572-9974 |
DOI: | 10.1007/s10614-011-9276-9 |