Temporal and Spatial Dimensions of Price Search : Insights from Matching Household Survey and Purchase Data (Record no. 29462)
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000 -LEADER | |
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fixed length control field | 02221pab a2200205 454500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 140923b0 xxu||||| |||| 00| 0 eng d |
040 ## - CATALOGING SOURCE | |
Transcribing agency | Welingkar Institute of Management Development & Research, Mumbai |
Original cataloging agency | Welingkar Institute of Management Development & Research, Mumbai |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | ENG |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | |
Item number | Gau |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Gauri Dinesh K |
245 ## - TITLE STATEMENT | |
Title | Temporal and Spatial Dimensions of Price Search : Insights from Matching Household Survey and Purchase Data |
250 ## - EDITION STATEMENT | |
Edition statement | 2 |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication, distribution, etc. | |
Name of publisher, distributor, etc. | Apr 2008 |
Date of publication, distribution, etc. | 0 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 226-240 Pp. |
490 ## - SERIES STATEMENT | |
Volume/sequential designation | XLV |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Price promotions are pervasive in grocery markets. A household can respond to price promotions by effectively cherry-picking through (1) spatial price search across stores and (2) temporal price search across time. However, extant research has analyzed these two dimensions of price search only separately and therefore underestimates both the consumer response to price promotions and the impact of promotions on retail profit. In this article, the authors introduce an integrated analysis of spatial and temporal price search. They seek answers to three questions: First, what are the predictors of household decisions to perform either spatial or temporal price search? Second, how effective are the temporal, spatial, and spatiotemporal price search strategies in obtaining lower prices? and Third, what is the impact of alternative price search strategies on retailer profit? The authors use a unique data collection approach that combines household surveys with observed purchase data to address these questions. Their key results are as follows: Geography (the spatial configuration of store and household locations) and opportunity costs are useful predictors of a household's price search pattern. Households that claim to search spatiotemporally avail approximately three-quarters of the available savings on average. Households that search only temporally save about the same as those that search only spatially. The negative effect of cherry-picking on retailer profits is not as high as is typically believed. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Price Search, Retailing, |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="http://192.168.6.13/libsuite/mm_files/Articles/AR9586.pdf">http://192.168.6.13/libsuite/mm_files/Articles/AR9586.pdf</a> |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | 28337 |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
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Main Library | Main Library | 06/06/2008 | 0.00 | Gau | AR9586 | 23/09/2014 | 0.00 | 23/09/2014 | Articles |