2014
DOI: 10.1007/s12525-014-0169-3
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Influencing customer’s purchase intentions through firm participation in online consumer communities

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Cited by 16 publications
(10 citation statements)
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References 34 publications
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“…The research theme user behavior covers most articles (26 %) and has the highest maturity regarding the breadth of topics of all social commerce research themes (e.g., Albert et al 2014;Bateman et al 2010;Blasco-Arcas et al 2013;Chen et al 2014;Grange and Benbasat 2013;Huang et al 2011;Scholz et al 2013;Wang and Chang 2013;Yin et al 2014;Zhang et al 2012;Zhou et al 2014). Most of them either investigate social shopping websites (47 %), social networking websites (37 %), or social gaming websites (10 %).…”
Section: Research Theme: User Behaviormentioning
confidence: 99%
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“…The research theme user behavior covers most articles (26 %) and has the highest maturity regarding the breadth of topics of all social commerce research themes (e.g., Albert et al 2014;Bateman et al 2010;Blasco-Arcas et al 2013;Chen et al 2014;Grange and Benbasat 2013;Huang et al 2011;Scholz et al 2013;Wang and Chang 2013;Yin et al 2014;Zhang et al 2012;Zhou et al 2014). Most of them either investigate social shopping websites (47 %), social networking websites (37 %), or social gaming websites (10 %).…”
Section: Research Theme: User Behaviormentioning
confidence: 99%
“…Besides users' participation behavior, another line of research within the area of users' behavior investigates factors directly influencing consumers' purchase intention on social commerce websites (e.g., Albert et al 2014;Bae and Lee 2011;Blasco-Arcas et al 2013;Guo and Barnes 2009;Khare et al 2011;Scholz et al 2013;Sotiriadis and Zyl 2013;Suntornpithug and Khamalah 2010;Wang and Chang 2013;Zhang et al 2012). Suntornpithug and Khamalah (2010), for example, found that person interactivity and machine interactivity positively influence online purchase intentions, with machine interactivity impacting attitudes, physical telepresence, perceived behavioral control and trust.…”
Section: Research Theme: User Behaviormentioning
confidence: 99%
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“…Perceived exposure refers to an individual’s recall of the frequency of exposure to a certain stimulus and has already been used as well in the context of brand-generated social media messages (Gao and Feng, 2016). Perceptions of brand posting activity in online contexts, such as forums, give an approximate match of actual activity of the brand (Albert et al , 2014). Thus, perceived exposure is an alternative and low-cost measure, especially when compared to collection of data about actual exposure.…”
Section: Theoretical Background and Research Questionsmentioning
confidence: 99%
“…probability of a user purchasing premium music software licensed in the US. Albert, L.J., et al [4] added in his research found that software purchase is influenced by two main factors, namely the frequency of use and the value obtained by users (perceived value) of the software.…”
Section: Introductionmentioning
confidence: 99%