Modeling the Intrahousehold Behavioral Interaction (Record no. 31740)

MARC details
000 -LEADER
fixed length control field 02008pab 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 Yan
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Yang Sha
245 ## - TITLE STATEMENT
Title Modeling the Intrahousehold Behavioral Interaction
250 ## - EDITION STATEMENT
Edition statement 3
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc.
Name of publisher, distributor, etc. June 2010
Date of publication, distribution, etc. 0
300 ## - PHYSICAL DESCRIPTION
Extent 470-484 Pp.
490 ## - SERIES STATEMENT
Volume/sequential designation XLVII
520 ## - SUMMARY, ETC.
Summary, etc. Quantitative models in marketing typically focus on the household as the unit of analysis while ignoring the individual family members' behavior and the behavioral interactions among household members. However, knowledge of such intrahousehold behavioral interaction enables marketers to target their communications more effectively. In this article, the authors propose a modeling framework to capture the intrahousehold behavioral interaction based on family members' actual consumption behavior over time. The authors develop a model to capture multiple agents' (more than two individuals') simultaneous choice decisions over more than two choice alternatives. This is extremely difficult with other previously developed modeling approaches. The authors apply the proposed model to a context of family members' television viewing and simultaneously model whether the television is on, which type of program is playing, and which family members are watching. The proposed model makes it possible to estimate the individual's intrinsic preference and the extrinsic preference from a joint consumption with other members. In turn, these estimates enable the authors to test several alternative group decision-making heuristics that may operate in those joint consumption occasions and to conduct managerially useful counterfactual simulations.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Joint Consumption, Hierarchical Bayesian Analysis
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://192.168.6.13/libsuite/mm_files/Articles/AR11973.pdf">http://192.168.6.13/libsuite/mm_files/Articles/AR11973.pdf</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 40330
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 21/03/2011 0.00   Yan AR11973 23/09/2014 0.00 23/09/2014 Articles

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