Understanding social influence on mobile social networking sites: A social support perspective

Zhou, Tao

doi:10.1177/0266666917738042

Cited by 26 publications

(18 citation statements)

References 41 publications

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“…It is an important motivation for people to adopt new information technologies. Early research, for example, has shown that behaviors in adoption of e-mail (Fang, 1998), mobile phone services (Lee et al , 2009) and social networking sites (SNS) (Zhou, 2017) can all be influenced by social influence. With the rapid development of social commerce in recent years, the situation is similar in online shopping.…”

Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

Why customers have the intention to reuse food delivery apps: evidence from China

Bao

Zhu

2021

BFJ

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PurposeFood delivery apps (FDA) have been widely adopted by customers in online-to-offline (O2O) catering businesses. This study aims to explore the mechanism regarding the stickiness of FDA and indicates why customers have the intention to reuse them.Design/methodology/approachA research model was developed based on the e-commerce system successful model (ECSS model) and social influence theory. Using the data collected from 312 customers who have FDA usage experience via an online survey, the established model was empirically assessed by partial least squares based structural equation model.FindingsThe results show that factors including information quality, ease of use, convenience and various choices perceived by FDA users are significant antecedents of customer satisfaction and perceived value, which in turn positively influence customers' intention to reuse. Besides, informational social influence and normative social influence play important roles in directly or indirectly affecting customers' intention to reuse.Originality/valueThis study extends the e-commerce system success model and enriches the literature regarding stickiness of FDA. Besides, the understanding of social influence in FDA usage has been deepened by addressing its role in the ECSS model based on the features and contexts of such apps.

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Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

Why customers have the intention to reuse food delivery apps: evidence from China

Bao

Zhu

2021

BFJ

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“…Social media users with co-creation experience linked to practical problem-solving activities typically perceive greater social support than newcomers from the virtual community [ 71 ]. Because participants are socially influenced by their peers and referents, social (including informational and emotional) support from community members significantly affects subjective norms [ 72 ]. Experiences in online communities also positively affect social identity [ 73 ]—a predictor of external subjective norms [ 68 ].…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

Sustainable Value Co-Creation in the Virtual Community: How Diversified Co-Creation Experience Affects Co-Creation Intention

Chen

2020

IJERPH

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The popularization of digital infrastructure has enabled the rise of the online game industry. Instead of targeting entertainment-oriented technology and services, which are the focus of most relevant studies, in the present study, we review the literature from the perspective of considering players of online games as both consumers of entertainment and co-creators of value. The three major antecedents of the theory of planned behavior, namely personal attitude toward co-creation, subjective norms and perceived behavioral control, were modified to explore the relevant constructs. Specifically, the diversity of co-creation experience was used to predict co-creation intention. The proposed model was empirically evaluated through the structural equation modeling of survey data collected from 321 World of Warcraft (WoW) players. As hypothesized, the diversified co-creation experience positively affected the antecedents. The findings provide implications on how to increase players’ participation in co-creation to achieve sustainable mutual benefits.

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“…In 2018, Cuppen [18] emphasized the value of social conflict in energy policy and planning and discussed several basic characteristics of social conflict. Zhou [19] proposed in 2019 that social support, including information support and emotional support, had a significant impact on social influence. Peng et al [20] presented an evaluation model to measure both direct and indirect influence based on the social relationship graph, by introducing friend entropy and interaction frequency entropy to describe the complexity and uncertainty of social influence.…”

Section: Literature Reviewmentioning

confidence: 99%

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Chen

et al. 2020

IJERPH

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Social conflicts occur frequently during the social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinion with the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences, as well as individual revenue on the effect of public opinion polarization, are analyzed through simulation experiments. The simulation results show that (1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case.

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Understanding social influence on mobile social networking sites: A social support perspective

Cited by 26 publications

References 41 publications

Why customers have the intention to reuse food delivery apps: evidence from China

Why customers have the intention to reuse food delivery apps: evidence from China

Sustainable Value Co-Creation in the Virtual Community: How Diversified Co-Creation Experience Affects Co-Creation Intention

Public Opinion Polarization by Individual Revenue from the Social Preference Theory

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