Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest

Shen, Xiao‐Liang; Li, Yangjun; Sun, Yongqiang; Chen, Zhenjiao; Feng, Wenquan

doi:10.1016/j.im.2018.09.006

Cited by 111 publications

(65 citation statements)

References 114 publications

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“…While accentuating s-commerce attributes, the extant literature has provided various insights (Yahia, Al-Neama, & Kerbache, 2018), but leveraging on consumers' social buying intents with the synchronization of these attributes to engage them is still relatively obscure for modern-day retailers/organizations. To address the complex nature of synchronizing s-commerce attributes for achieving synergies amid consumers' thoughts, it is pertinent to discourse the parallel run of s-commerce attributes and further elucidate the in-depth appreciation of their reactions over social business models (Shen, Li, Sun, Chen, & Wang, 2018). S-commerce in the current era presents an opportunity for a multitude of businesses and is forecasted to continually grow into a US$80 billion market worldwide by 2020 (Chen & Shen, 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Community attributes, which represent a subjective psychosomatic process, describe the personal relevance and the importance of a relationship with an online community (Kim, Chan, & Kankanhalli, 2012;Xu, Jones, & Shao, 2009). The identification of such attributes thus facilitates the formation of the trusting mechanism towards a community that subsequently sparks a desire for s-commerce (Shen, Li, Sun, Chen, & Wang, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Nowadays, the platform or website design derives behavioral intents among consumers (Thapliyal, 2018). Academicians have empirically presented their thoughtful arguments on the conceptualization of platform attributes (Shen et al, 2018;Zhang & Benyoucef, 2016), but the influence of platform attributes in enticing s-commerce behavioral intents along with community attributes is still in its infancy in regards to academic insights. At stages where community and platform attributes create active and passive participation of consumers, both attributes must be judged for their roles in translating behavioral intents of consumers.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business

et al. 2019

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Building on social commerce (s-commerce) perspectives and the trust transfer theory, this study develops a theoretical model that explains the indirect effects of two types of s-commerce attributes (community and platform) on behavioral outcomes (s-commerce intentions and e-Word-of-Mouth (e-WOM) intentions) through trust in community and platform. We analyze data collected from s-commerce users on travel booking websites using structural equation modeling technique. Results confirm that s-commerce intentions and e-WOM intentions are contingent upon s-commerce community and platform attributes. Moreover, the results provide evidence for the mediating effects of trust in community and platform on the relationship between s-commerce attributes and behavioral outcomes. The study provides further insights about the impact of scommerce experience on s-commerce intention and e-WOM intention. Moreover, this study contributes to s-commerce research and practice by developing and validating the role of s-commerce community and platform attributes in forming consumers' scommerce behavioral outcomes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business

et al. 2019

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“…Similarly, the compilation of all user's comments highlights a generic perception of the underlined image by the community, which likely includes a set of image descriptors and main patterns that will increase the matching with image captioning system. On the other hands, one may also mention other factors that do influence the users' textual inputs related to personal and sociological factors [32], [33]. Among these factors, which are found to impact the structure of the comment, and thereby, the overlap value, one shall mention: the user culture, the age and gender of the user, te travel experience of the user, the mood of the user while he was writing his comment, the nature of image itself weather it is know or unknown (famous status).…”

Section: Preliminary Analysis Resultsmentioning

confidence: 99%

Reconciling Image Captioning and User’s Comments for Urban Tourism

Bounab

Oussalah

Ferdenache

2020

2020 Tenth International Conference on Image Processing Theory, Tools and Applications (IPTA)

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Image captioning as a process of assigning textual description to an image has gained momentum nowadays thanks to recent advances in deep learning related architectures and availability of associated tools. In the era of digital tourism, this offers a valuable framework to reconcile the widely available tourism images and user's generated content. This paper presents a novel approach to perform such reconciliation in a way to benefit tourism industry. Especially, IMGUR online image sharing services has been employed to construct a novel database, referred Tourism48, which contains gallery tourism images from 48 countries together with their associated user's comments. Google Cloud Vision API has been employed to perform image captioning of the underlined images, while similarity analysis has been employed to match user's comments to the obtained captioning results. The outcomes can trigger the development of subsequent policy research in tourism industry and behavior analysis. Besides, the Tourism48 dataset has been made available for research community. 1 Index Terms-Image captioning, social media, image description, string matching, google vision API.

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“…Through continuous community engagement, symbolic values outweigh informational values and instigate commitment to the community. Brand communities thrive, offering engaging settings through regular involvement, satisfaction, and commitment (Shen et al, 2019).…”

Section: Theoretical Contextmentioning

confidence: 99%

Effects of online brand communities on millennials' brand loyalty in the fashion industry

Ozuem

Willis

Howell

et al. 2021

Psychology and Marketing

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Online brand communities are gaining traction in the development of marketing strategy, but it is unclear how the dominant group of users, the millennials, is being targeted with the prevailing and varying customer loyalty programs. Grounded in understanding that loyalty is seen and understood differently by people who participate in online brand communities, this study is based on a constructivist perspective combined with hermeneutic methodology and embedded case study research strategy to examine how online brand communities activate multidimensional customer loyalty intentions. Empirical data were generated through 45 in‐depth interviews of millennials. The analysis proposes a framework that categorizes customer loyalty into ambassador loyalists, public‐voting loyalists, loveless loyalists, and mercenary loyalists. Each stream contains one additional subcategory mediated by consumer levels of participation in online brand communities. This study contributes to existing literature. Unlike extant studies, it specifically argues that customers' loyalty intentions in online brand communities depend on the individuals and context, and it categorizes loyalty into different levels. Practical steps by which companies may utilize these categories and theoretical implications for wider consideration are proposed.

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Understanding the role of technology attractiveness in promoting social commerce engagement: Moderating effect of personal interest

Cited by 111 publications

References 114 publications

An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business

An investigation of the drivers of social commerce and e-word-of-mouth intentions: Elucidating the role of social commerce in E-business

Reconciling Image Captioning and User’s Comments for Urban Tourism

Effects of online brand communities on millennials' brand loyalty in the fashion industry

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