Temporal and Spatial Dimensions of Price Search : Insights from Matching Household Survey and Purchase Data (Record no. 29462)

MARC details
000 -LEADER
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
Holdings
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
        Main Library Main Library 06/06/2008 0.00   Gau AR9586 23/09/2014 0.00 23/09/2014 Articles

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