caa a22 4500 606228969 CHVBK 20210128101206.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10796-014-9508-3 doi (NATIONALLICENCE)springer-10.1007/s10796-014-9508-3 Categorizing consumer behavioral responses and artifact design features: The case of online advertising [Elektronische Daten] [Jian Tang, Ping Zhang, Philip Wu] Many consumers encounter and interact with digital artifacts and services on a daily basis, either willingly or unwillingly. This paper conceptualizes consumer online behaviors into more refined categories in the context of online advertising. Behaviors can be differentiated by their directions and intensities. Approach and avoidance are two directions of behavioral responses when consumers encounter online advertisements. Active and passive behaviors reflect the levels of intensity of behavioral efforts consumers put when dealing with online advertisements. Active behavioral responses mean that consumers make effort to act upon online ads, either approaching or avoiding them. Passive behavioral responses indicate that consumers make little effort to change the current status, and would approach or avoid in a passive way. We posit that consumers' behavioral responses can be generally categorized into four major types across these two dimensions: active approach, passive approach, active avoidance, and passive avoidance. In addition, we categorize the design features of online advertisements with a three-facet framework: ad content, ad form, and ad action. Ad content is concerned with the message or meaning that an ad carries; ad form is about materializing content based on presentation styles such as media, location, color, audio, etc.; and ad action is concerned with the behaviors of an ad such as movement, onset timing, frequency, etc. Due to the novelty of the categorizations, an exploratory study was conducted to provide empirical evidence on the categorizations of the four behavior types and three design feature types. Our findings indicate that all four types of consumer behaviors were present, and all behaviors identified by our study can be classified into one of the four types. The same is true for the design feature categorization. We illustrate that the categorization of the three types of ad design features can also guide the understanding of consumers' judgments of ads, which may function as a bridge of ad design features' influence on consumer behaviors. This study contributes to a stronger, more refined understanding of how consumers react to online advertising services, and how such responses relate to various types of design features. It also has practical implications for the design, delivery, and management of digital artifacts and services in general. Springer Science+Business Media New York, 2014 Consumer online behavior nationallicence Approach-avoidance behavior nationallicence Active-passive behavior nationallicence Online advertising nationallicence Design features of online ads nationallicence Stimulus-Organism-Response (S-O-R) framework nationallicence Tang Jian School of Information Studies, Syracuse University, Syracuse, USA aut Zhang Ping School of Information Studies, Syracuse University, Syracuse, USA aut Wu Philip School of Management, Royal Holloway, University of London, London, UK aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 513-532 1387-3326 17:3<513 2015 17 10796 https://doi.org/10.1007/s10796-014-9508-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-014-9508-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tang Jian School of Information Studies, Syracuse University, Syracuse, USA aut NATIONALLICENCE 700 1- Zhang Ping School of Information Studies, Syracuse University, Syracuse, USA aut NATIONALLICENCE 700 1- Wu Philip School of Management, Royal Holloway, University of London, London, UK aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/3(2015-06-01), 513-532 1387-3326 17:3<513 2015 17 10796