Cumulative Timed Intent: A New Predictive Tool for Technology Adoption (Record no. 31491)

MARC details
000 -LEADER
fixed length control field 02123pab 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 Itt
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ittersum Koert Van
245 ## - TITLE STATEMENT
Title Cumulative Timed Intent: A New Predictive Tool for Technology Adoption
250 ## - EDITION STATEMENT
Edition statement 5
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc.
Name of publisher, distributor, etc. Oct 2010
Date of publication, distribution, etc. 0
300 ## - PHYSICAL DESCRIPTION
Extent 808-822 Pp.
490 ## - SERIES STATEMENT
Volume/sequential designation XLVII
520 ## - SUMMARY, ETC.
Summary, etc. Despite multiple calls for the integration of time into behavioral intent measurement, surprisingly little academic research has examined timed intent measures directly. In two empirical studies, the authors estimate individual-level cumulative adoption likelihood curves-curves calibrated on self-reported adoption likelihoods for cumulative time intervals across a fixed horizon-of 478 managerial decision makers, self-predicting whether and when they will adopt a relevant technology. A hierarchical Bayes formulation allows for a heterogeneous account of the individual-level adoption likelihood curves as a function of time and common antecedents of technology adoption. A third study generalizes these results among 354 consumer decision makers and, using behavioral data collected during a two-year longitudinal study involving a subsample of 143 consumer decision makers, provides empirical evidence for the accuracy of cumulative adoption likelihood curves for predicting whether and when a technology is adopted. Cumulative adoption likelihood curves outperform two single-intent measures as well as two widely validated intent models in predicting individual-level adoption for a fixed period of two years. The results hold great promise for further research on using and optimizing cumulative timed intent measures across a variety of application domains.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Self-Reported Inventions, Cumulative Timed Intent, Technology Adoption, Predictive Accuracy, Hierarchical Bayes
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://192.168.6.13/libsuite/mm_files/Articles/AR11712.pdf">http://192.168.6.13/libsuite/mm_files/Articles/AR11712.pdf</a>
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 39153
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 01/11/2010 0.00   Itt AR11712 23/09/2014 0.00 23/09/2014 Articles

Powered by Koha