2017
DOI: 10.1016/j.im.2016.03.004
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Beyond likes and tweets: Consumer engagement behavior and movie box office in social media

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Cited by 208 publications
(230 citation statements)
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References 46 publications
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“…Nowadays, consumer engagement is a multi-dimensional construct which includes cognitive, emotional, and behavioral dimensions. However, few studies have shown that the multi-dimensional construct of consumer engagement such as cognitive and emotion make it difficult to measure consumer's level of engagement as it is directed to measure only the strength of engagement, while ignoring the nature and specific types of engagement behaviors with brands in SNSs [95], [133]. Therefore, the present study has focused on contribution of customer engagement in behavioral manifestation.…”
Section: Consumer Engagement With Brand-related Contentmentioning
confidence: 99%
See 1 more Smart Citation
“…Nowadays, consumer engagement is a multi-dimensional construct which includes cognitive, emotional, and behavioral dimensions. However, few studies have shown that the multi-dimensional construct of consumer engagement such as cognitive and emotion make it difficult to measure consumer's level of engagement as it is directed to measure only the strength of engagement, while ignoring the nature and specific types of engagement behaviors with brands in SNSs [95], [133]. Therefore, the present study has focused on contribution of customer engagement in behavioral manifestation.…”
Section: Consumer Engagement With Brand-related Contentmentioning
confidence: 99%
“…The rise in the use of social media and new technology is directly influencing engagement behaviors as these platforms facilitates interactions between people and the firm or brand. So far, there are few empirical studies on customer engagement behaviors, in general, and particularly in social media, although customer engagement has been recognized as key research priority of the Marketing Science Institute [9], [95], [121], [122], [133].…”
Section: Consumer Engagement With Brand-related Contentmentioning
confidence: 99%
“…Consumer engagement in the context of social media can be described as a customer's interaction with a business post on social media (Oh, Roumani, Nwankpa, & Hu, ; Vries, Gensler, & Leeflang, ). Researchers have addressed how to capture this interaction or level of engagement through different measures including how many users join social media accounts (Michaelidou et al, ).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Tafesse (2016) stated that engagement entails a consumer's psychological and behavioural predisposition to interact with brands (see also Ashley & Tuten, 2015;Hollebeek, Glynn, & Brodie, 2014). Van Consumer engagement in the context of social media can be described as a customer's interaction with a business post on social media (Oh, Roumani, Nwankpa, & Hu, 2017;Vries, Gensler, & Leeflang, 2012). Researchers have addressed how to capture this interaction or level of engagement through different measures including how many users join social media accounts (Michaelidou et al, 2011).…”
Section: Consumer Engagementmentioning
confidence: 99%
“…Amaro et al(2016);Claussen et al(2013);Ding et al(2015);Ghose and Han(2011);Ghose et al(2013);Guesalaga(2016);Han et al(2016);Harrigan et al(2017);Oh et al(2017);Pagani and Malacarne(2017);Risius and Beck(2015); van Doorn et al(2010); VanMeter et al(2015); Xu et al(2007); Garg et al(2011); Ludwig et al(2014); Wang et al(2013) Online community leadership Johnson et al(2015); Lu et al(2013) Social network effect Fang et al(2013); Goh et al(2013); Rapp et al(2013); Shen et al (2016); Shriver et al(2013); Wu(2013); Zhang et al. (2011); Chong et al(2016); Lee and Bradlow(2011); Mauri and Minazzi(2013); Moon et al(2014); Salehan and Kim(2016); Schneider and Gupta(2016); Sparks and Browning (2011); Xie et al(2017); Ye et al(2009); Zhu and Zhang(2010) Review helpfulness Baek et al(2012); Cao et al(2011); Chen and Tseng(2011); Krishnamoorthy(2015); Ngo-Ye and Sinha(2014); Singh et al(2017) Social influence Cheng and Ho(2015); Goes et al(2014); Ludwig et al(2013); Sridhar and Srinivasan(2012) Customer satisfaction Chen et al(2016); Hildebrand et al(2013); Kang and Park(2014); Xiang et al(2015) Text mining Ordenes et al (2014); Wang et al(2013); Zhan et al(2009) Rating and ranking Büschken and Allenby(2016); Chung and Tseng(2012); Gao et al(2015); Ghose et al(2012); Lee et al(2015); Moe and Trusov(2011); Sun(2012) Sentiment analysis Opinion mining Alfaro et al(2013); García-Moya et al(2013); Gopaldas(2014); He et al(2015); Homburg et al(2015); Jang et al(2013); Kontopoulos et al(2013); Li and Wu(2010); Marrese-Taylor et al(2014) Sentiment detection Balahur et al(2012); Colace et al(2015); Costa et al(2012); Das and Chen(2007); Dehkharghani et al(2014); Gao et al(2015); Mostafa et al(2013); Yang and Lee(2008) Sentiment classification Da Silva et al(2014); Deng et al(2014); Fang et al(2014); Fersini et al(2014); Khan et al(2014); Ye et al…”
mentioning
confidence: 99%