2021
DOI: 10.1504/ijima.2021.10040887
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The effectiveness of e-word-of-mouth communication about smartphones purchase intention: digital influencer

Abstract: The effectiveness of e-word-of-mouth communication about smartphones purchase intention: digital influencer.

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Cited by 5 publications
(7 citation statements)
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“…Responding to the first research question, our findings contribute to existing research by revealing three types of message noise that are prevalent in social media platforms: technical noise, material noise, and architectural noise. Furthering the understanding of message noise as an attribute of various functions of platforms/access devices (Ashman et al, 2021;Kozinets, 2019;Rosário, & Loureiro, 2021;Smith, Fischer, & Yongjian, 2012) and users' choice of these mediums (Zhang, Chau, Wang & Luo, 2021), our network view of the social media communication ecosystem (Latour, 2005) reveals a more cohesive and interconnected understanding of social message noise. We found that senders and receivers inadvertently contribute to the creation of noise merely through their choice of communication platforms and devices.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Responding to the first research question, our findings contribute to existing research by revealing three types of message noise that are prevalent in social media platforms: technical noise, material noise, and architectural noise. Furthering the understanding of message noise as an attribute of various functions of platforms/access devices (Ashman et al, 2021;Kozinets, 2019;Rosário, & Loureiro, 2021;Smith, Fischer, & Yongjian, 2012) and users' choice of these mediums (Zhang, Chau, Wang & Luo, 2021), our network view of the social media communication ecosystem (Latour, 2005) reveals a more cohesive and interconnected understanding of social message noise. We found that senders and receivers inadvertently contribute to the creation of noise merely through their choice of communication platforms and devices.…”
Section: Discussionmentioning
confidence: 99%
“…Social media platforms are different from one to another in their expressive, communicative, and social capacities (Ashman et al, 2021;Kozinets, 2019;Rosário, & Loureiro, 2021;Smith, Fischer, & Yongjian, 2012) and a diverse set of factors help disseminate messages communicated across social media networks (Chung, Woo, & Lee, 2020). Therefore, current research asserts that meanings of social media messages are co-created within a network of interactions (Viglia, Pera & Bigne, 2018) that combine a range of human and non-human actors and such co-creative pursuits lead to countless opportunities for message reinterpretation and distortion (Dibb & Carrigan, 2013;.…”
Section: Introductionmentioning
confidence: 99%
“…(Deza & Honeyta Lubis, 2020), reveals that "Purchase interest arises because of any concept of an object or product, consumer confidence in a product, where the lower the consumer's confidence in a product, the lower the consumer's buying interest". Purchase intention is defined as the subjective probability that consumers will buy a particular product or service in the future (Rosário & Loureiro, 2021). purchase intention is very important to understand because it can predict customers' actual purchasing behavior well (Bataineh, 2015).…”
Section: Anggres Ayu Damayanti Dkkmentioning
confidence: 99%
“…It is based on the credibility of the sender that eWOM is able to influence consumers' purchasing decisions. In an effort to generate word-of-mouth online, marketers are increasingly relying on influencer marketing (Rosário & Loureiro, 2021). As suggested by Chen et al (2022), eWOM is driven by the ease of use of the platform, and positive eWOM has a substantial effect on product sales.…”
Section: Electronic Word-of-mouth (Ewom) and Consumer Purchase Decisionsmentioning
confidence: 99%