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Cited 71 time in webofscience Cited 79 time in scopus
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Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization

Authors
Kim, Yoo JungHan, JinYoung
Issue Date
Apr-2014
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Keywords
Advertising effectiveness; Advertising value; Flow; Personalization; Smartphone advertising
Citation
COMPUTERS IN HUMAN BEHAVIOR, v.33, pp 256 - 269
Pages
14
Journal Title
COMPUTERS IN HUMAN BEHAVIOR
Volume
33
Start Page
256
End Page
269
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/12360
DOI
10.1016/j.chb.2014.01.015
ISSN
0747-5632
1873-7692
Abstract
Thirty-five percent of US adults own a smartphone and more than seventy-three percent of the population in South Korea owns a smartphone in the first quarter of 2013. The number of people that use a smartphone has radically increased. Smartphone users always maintain connectivity, and frequent and swift communication with others. As the mobile advertising market is drastically expanded, advertisers and companies should be more attentive to effective smartphone advertising. This study suggests a comprehensive advertising model that combines a Web advertising model, personalization and flow theory in understanding the antecedents of purchase intention and influence processes in the context of smartphone advertisements. The results show that personalization has a positive association with informativeness, credibility, and entertainment of the advertising message while having a negative association with irritation. Purchase intention is increased by advertising value and flow experience. Advertising value has a positive relationship with credibility, entertainment, and incentives. Flow experience is positively associated with credibility, entertainment, incentives. Irritation negatively affects flow experience but advertising value. This study theoretically contributes to the application of the smartphone advertising model and practically contributes influential factors for effective advertising to marketers and advertisers. (C) 2014 Elsevier Ltd. All rights reserved.
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