The Effect of Social Support on Post-Adoption of Mobile SNS

2017 ◽  
Vol 9 (2) ◽  
pp. 17-30 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Social Support ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Service Providers ◽  
System Quality ◽  
Support Theory ◽  
Mobile Social Networking ◽  
The Social ◽  
Continuance Usage ◽  
Mobile Sns

Retaining users and facilitating their post-adoption are crucial for the success of mobile social networking sites (SNS). Drawing on the social support theory, this research examined mobile SNS continuance. The results indicated that both social support and technological perceptions affect continuance usage through trust and flow. Social support includes informational support and emotional support. Technological perceptions include system quality and service quality. The results imply that service providers need to offer a supportive climate as well as quality systems and services in order to facilitate users' post-adoption and continuance usage.

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

2017 ◽  
Vol 35 (2) ◽  
pp. 220-229 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Social Support ◽  
Social Influence ◽  
Social Networking ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Service Providers ◽  
Informational Support ◽  
Mobile Social Networking ◽  
The Social ◽  
Mobile Sns

Due to the social networking relationship, users’ continuance of social networking sites (SNS) may receive social influence from their peers and referents. This research identified the effect of social support on social influence in mobile SNS. Social support consists of both informational support and emotional support. Social influence is reflected by three factors: subjective norm, social identity and group norm. The results suggested that social support has a significant effect on social influence. The results imply that service providers need to build a supportive climate in order to facilitate social influence and users’ continuance usage.

Examining social capital on mobile SNS: the effect of social support

2016 ◽  
Vol 50 (4) ◽  
pp. 367-379 ◽  
Author(s):  
Tao Zhou
Keyword(s):  
Social Support ◽  
Social Capital ◽  
Emotional Support ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Research Model ◽  
Content Type ◽  
Mobile Social Networking ◽  
Equation Modelling ◽  
Mobile Sns

Purpose The purpose of this paper is to examine the effect of social support on social capital in mobile social networking sites. Design/methodology/approach Based on the 234 valid responses collected from a survey, structural equation modelling was employed to examine the research model. Findings The results indicated that social support, which includes informational support and emotional support, has a significant effect on social capital that consists of structural, relational and cognitive capital. Originality/value Although previous research has found the effect of social capital on user behaviour, it has seldom identified the determinants of social capital. Thus, how to build and develop social capital remains a question. This research examined the effect of social support on social capital.

The Effects of Network Externality and Flow Experience on Mobile SNS Continuance

2017 ◽  
Vol 13 (2) ◽  
pp. 57-69
Author(s):  
Tao Zhou
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Service Providers ◽  
Network Size ◽  
Network Externality ◽  
Factors Affecting ◽  
Mobile Social Networking ◽  
Continuance Usage ◽  
Two Factors ◽  
Mobile Sns

Facilitating users' continuance usage and retaining them are crucial to the success of mobile social networking sites (SNS). Drawing on both perspectives of network externality and flow, this research examined the factors affecting mobile SNS continuance usage. Network externality includes two factors: referent network size and perceived complementarity, which represent direct externality and indirect externality, respectively. The results indicated that both factors of network externality have significant effects on flow, which further affects satisfaction and continuance usage. The results imply that service providers need to deliver a positive network externality and an engaging experience in order to facilitate users' continuance usage.

Understanding Social Capital on Mobile SNS- An IS Success Model Perspective

2018 ◽  
Vol 10 (4) ◽  
pp. 1-17
Author(s):  
Zuoning Xu ◽  
Tao Zhou
Keyword(s):  
Social Capital ◽  
Information Quality ◽  
Service Providers ◽  
System Quality ◽  
Is Success ◽  
Is Success Model ◽  
Structural Capital ◽  
Success Model ◽  
The Social ◽  
Mobile Sns

The social capital embedded within the social network relationships among users may facilitate their continued usage of mobile SNS. However, how to develop social capital remains a question. In this article, the authors incorporated three factors of system quality, information quality, and service quality from the information systems (IS) success model to examine their effects on social capital in mobile SNS. The results indicate that these three factors have significant effects on social capital, which includes structural capital, relational capital, and cognitive capital. The results imply that service providers need to improve users' technological perceptions in order to develop social capital and facilitate their continuance of mobile SNS.

scholarly journals Effects of Perceived Information Quality, Perceived System Quality, and Perceived Flow on Mobile Social Networking Sites (SNS) Users' Trust

2014 ◽  
pp. 22-32
Author(s):  
Norazah Mohd Suki ◽  
Norbayah Mohd Suki
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Information Quality ◽  
Correlation Coefficients ◽  
Future Research ◽  
System Quality ◽  
Mobile Social Networking ◽  
Pearson Correlations ◽  
Mobile Sns

This chapter examines the effects of perceived information quality, perceived system quality, and perceived flow on mobile Social Networking Sites (SNS) users' trust. Pearson correlations via SPSS 21.0 computer program was used for data analysis as it has the ability to ensure the consistency of the model with the data, to provide information necessary to scrutinize the study hypotheses, and to estimate associations among constructs. Each correlation coefficient was assessed as significant at the 0.01 level, and the overall model was determined to fit the data well as multicollinearity was absent. In terms of the associations with perceived user trust, perceived flow had highest significant positive correlation coefficients, followed by perceived information quality and perceived system quality. Next, further investigation of the study encountered that perceived flow is significantly associated by both perceived system quality and perceived information quality of mobile SNS, respectively. The chapter concludes with directions for future research.

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis

JMIR Aging ◽  
10.2196/12496 ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. e12496 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

Background Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. Objective This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. Methods Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. Results Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. Conclusions Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. Trial Registration ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

scholarly journals Social Support Patterns of Middle-Aged and Older Adults Within a Physical Activity App: Secondary Mixed Method Analysis (Preprint)

2018 ◽  
Author(s):  
Zakkoyya H Lewis ◽  
Maria C Swartz ◽  
Eloisa Martinez ◽  
Elizabeth J Lyons
Keyword(s):  
Physical Activity ◽  
Social Support ◽  
Older Adults ◽  
Social Interaction ◽  
Emotional Support ◽  
Mixed Method ◽  
Middle Aged ◽  
Promising Tool ◽  
The Social ◽  
Method Analysis

BACKGROUND Physical activity (PA) is critical for maintaining independence and delaying mobility disability in aging adults. However, 27 to 44% of older adults in the United States are meeting the recommended PA level. Activity trackers are proving to be a promising tool to promote PA adherence through activity tracking and enhanced social interaction features. Although social support has been known to be an influential behavior change technique to promote PA, how middle-aged and older adults use the social interaction feature of mobile apps to provide virtual support to promote PA engagement remains mostly underexplored. OBJECTIVE This study aimed to describe the social support patterns of middle-aged and older adults using a mobile app as part of a behavioral PA intervention. METHODS Data from 35 participants (mean age 61.66 [SD 6] years) in a 12-week, home-based activity intervention were used for this secondary mixed method analysis. Participants were provided with a Jawbone Up24 activity monitor and an Apple iPad Mini installed with the UP app to facilitate self-monitoring and social interaction. All participants were given an anonymous account and encouraged to interact with other participants using the app. Social support features included comments and likes. Thematic coding was used to identify the type of social support provided within the UP app and characterize the levels of engagement from users. Participants were categorized as superusers or contributors, and passive participants were categorized as lurkers based on the literature. RESULTS Over the 12-week intervention, participants provided a total of 3153 likes and 1759 comments. Most participants (n=25) were contributors, with 4 categorized as superusers and 6 categorized as lurkers. Comments were coded as emotional support, informational support, instrumental support, self-talk, and other, with emotional support being the most prevalent type. CONCLUSIONS Our cohort of middle-aged and older adults was willing to use the social network feature in an activity app to communicate with anonymous peers. Most of our participants were contributors. In addition, the social support provided through the activity app followed social support constructs. In sum, PA apps are a promising tool for delivering virtual social support to enhance PA engagement and have the potential to make a widespread impact on PA promotion. CLINICALTRIAL ClinicalTrials.gov NCT01869348; https://clinicaltrials.gov/ct2/show/NCT01869348

The Influence of Social Support on Customer Satisfaction Based on the Consumer Experience Theory

2020 ◽  
Vol 11 (4) ◽  
pp. 70-81
Author(s):  
Pinghao Ye ◽  
Liqiong Liu ◽  
Linxia Gao ◽  
Quanjun Mei
Keyword(s):  
Social Support ◽  
Customer Satisfaction ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Model ◽  
Consumer Experience ◽  
Factors Affecting ◽  
Customer Feedback ◽  
Support Theory ◽  
The Social

Customer satisfaction (CS) is an important factor determining the success of online clothing shopping. This document tries to analyze factors affecting CS towards online clothing shopping through a systematic study, in a bid to help online clothing retailers improve CS for higher sales. Based on the social support theory, the authors created a model of factors affecting CS towards online clothing shopping and conducted a questionnaire survey to obtain customer feedback, which was then analyzed through a structural equation model. The analysis results indicate that sensory experience (SE), quality experience (QE), trust (TR), and recommendation (RE) exerted favorable effects on CS towards online clothing shopping, and CS, as a mediating variable, affected customer loyalty (CL), and purchase intention (PI) positively.

Understanding continuance usage intention of mHealth in a developing country

2020 ◽  
Vol 14 (2) ◽  
pp. 251-272 ◽  
Author(s):  
Md Abdul Kaium ◽  
Yukun Bao ◽  
Mohammad Zahedul Alam ◽  
Md. Rakibul Hoque
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
Service Providers ◽  
Least Squares Method ◽  
System Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Continuance Usage ◽  
The Government ◽  
Continuance Usage Intention

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

Relationship between social support and social support in favorable interactions with the general depression,feel anxiety and lack of arousal

2011 ◽  
Vol 26 (S2) ◽  
pp. 176-176
Author(s):  
S. Shabani ◽  
T. Ahmadi Gatab ◽  
A. Delavar ◽  
K. Saleh Ahangar
Keyword(s):  
Social Support ◽  
Emotional Support ◽  
Social Protection ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
The Social ◽  
The Status ◽  
Self Worth ◽  
Significant Regression ◽  
The Relationship

IntroductionThe theory of social support can influence the overall broad range of social networks on people to create positive experiences that people bring, the experience can feel the predictability and stability in situations of life and enhance self-worth is effective.ObjectivesThis study reviews the relationship between social support and social support optimal interactions with general depression, lack of arousal and anxiety felt among the students was fun.MethodsThe study sample of 293 students are Tabatabai University.ResultsThe status of students in the social protection component interactions in daily emotional support, emotional support and protect significant issue oriented issue is above average and good social support in daily emotional support component, useful daily support and protection issue higher orbit are average. Pearson correlation results show that social support and favorable interactions with the general depression, anxiety and lack of arousal feel in 0 / 05 and 0 / 01 is significant and negative relationship with one another are significant. Regression analysis showed that the spatial step feel and lack of arousal component of anxiety in social support interactions to predict depression and components of general social support will predict the optimum.ConclusionsThe results of this study also shows that the highest correlation between social support and lack of interaction feel is the highest correlation between social support and depression in general is good.

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