Re-purchase intentions and virtual customer relationships on social media brand community

Ho, Ching‐Wei; Wang, Yubing

doi:10.1186/s13673-015-0038-x

Cited by 32 publications

(33 citation statements)

References 73 publications

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“…Consumers who form a community and receive information, desire to continue these relationships and are likely to commit to the brand more (Jin et al 2010 ). Direct relationships between social media communications, whether they are firm-created or user-created messages, and brand attitude have been recognized in prior research (Časas et al 2016 ; Ho and Wang 2015 ). Additionally, consumers who participated in an online community have shown greater repurchase intentions for the brand (Schivinski and Dabrowski 2016 ).…”

Section: Methodsmentioning

confidence: 94%

Determinants of consumer attitudes and re-purchase intentions toward direct-to-consumer (DTC) brands

2021

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In the fashion and retail industry, a group of startups, referred to as Direct-to-Consumer (DTC) brands, are proliferating. DTC brands are defined as e-commerce brands that sell directly to consumers, without retailer ‘middlemen’ like department stores. They typically begin as a purely online business, fully leveraging digital channels for marketing and selling. Given the limited research on the topic, this paper aims to identify determinants of consumers’ attitudes and re-purchase intentions toward DTC brands. The initial qualitative phase of in-depth interviews with frequent DTC shoppers, resulted in the identification of eight determinants. The subsequent quantitative analysis with 210 US DTC shoppers confirmed that co-creation, cost-effectiveness, website attractiveness, brand uniqueness, social media engagement, and innovativeness of DTC brands significantly influence consumers’ attitudes while cost-effectiveness (indirectly), brand uniqueness, social media engagement, and brand innovativeness affect consumers re-purchase intentions. The findings offer insights for aspiring entrepreneurs and incumbent retailers on strengthening their value propositions.

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Section: Methodsmentioning

confidence: 94%

Determinants of consumer attitudes and re-purchase intentions toward direct-to-consumer (DTC) brands

2021

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“…Availability of these information over the brand page enhances the learning of the consumers as well as facilitate a greater communal interaction over the platform where a consumer share their reviews with other consumers (Carlson et al, 2018;Hamilton, Kaltcheva, & Rohm, 2016;Shi et al, 2016). The usefulness of the information over the brand pages influences the consumers positively (Ho & Wang, 2015). The perceptions of a user with respect to a particular service, technology, or innovation play a significant role in determining the attitude of the users toward that specific service, technology, or innovation (Ahmad et al, 2017;Hanafizadeh et al, 2014).…”

Section: Perceived Usefulness and Attitudementioning

confidence: 99%

Predicting attitude of young Indian consumers toward brand pages over social media: A structural equation modeling approach

Ahmad

2020

Journal of Public Affairs

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With the growth in the number of Internet and social media users, marketers have analyzed the potential and have started using the platform to interact, reach, and target consumers all around the world. Marketers must ensure that they get a positive attitude of the social media users toward their promotional activities on social media. The researcher in the present study attempts to explore the factors that help in building a positive attitude toward brand pages over social networking sites. To gauge the attitude of the social media users toward brand pages over social media, the researcher in the present study has adapted a research instrument comprising perceived usefulness, informativeness, trust, and hedonism that together result in a positive attitude. The present study explores the understanding of the role of perceived usefulness, informativeness, trust, and hedonism in the formation of a positive attitude of the social media users toward brand pages over the platform.

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“…Soft computing techniques based SNA provides several new social data analysis solutions for social networking services, such as folksonomy mining [75], tag recommendation, social marketing [76], social recommendation and sentiment analysis [77]. Jaschke et al [78] proposed an algorithm for mining iceberg tri-lattices for mining the frequent tri-concepts.…”

Section: Social Data Analysismentioning

confidence: 99%

When social computing meets soft computing: opportunities and insights

Hao

Park

Pei

2018

Hum. Cent. Comput. Inf. Sci.

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The characteristics of the massive social media data, diverse mobile sensing devices as well as the highly complex and dynamic user’s social behavioral patterns have led to the generation of huge amounts of high dimension, uncertain, imprecision and noisy data from social networks. Thanks to the emerging soft computing techniques which unlike the conventional hard computing. It is widely used for coping with the tolerant of imprecision, uncertainty, partial truth, and approximation. One of the most important and promising applications is social network analysis (SNA) that is the process of investigating social structures and relevant properties through the use of network and graph theories. This paper aims to survey various SNA approaches using soft computing techniques such as fuzzy logic, formal concept analysis, rough sets theory and soft set theory. In addition, the relevant software packages about SNA are clearly summarized.

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Re-purchase intentions and virtual customer relationships on social media brand community

Cited by 32 publications

References 73 publications

Determinants of consumer attitudes and re-purchase intentions toward direct-to-consumer (DTC) brands

Determinants of consumer attitudes and re-purchase intentions toward direct-to-consumer (DTC) brands

Predicting attitude of young Indian consumers toward brand pages over social media: A structural equation modeling approach

When social computing meets soft computing: opportunities and insights

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