Correlations of Perceived Flow, Perceived System Quality, Perceived Information Quality, and Perceived User Trust on Mobile Social Networking Service (SNS) Users’ Loyalty

2012 ◽  
Vol 5 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Norazah Mohd Suki
Keyword(s):  
Social Networking ◽  
Information Quality ◽  
Future Research ◽  
Network System ◽  
System Quality ◽  
Social Networking Service ◽  
Mobile Social Networking ◽  
Research Findings ◽  
Mobile Sns ◽  
User Trust

This research aims to examine the correlations of perceived flow, perceived system quality, perceived information quality and perceived user trust on mobile social networking service (SNS) users’ loyalty. Investigation of correlation between perceived user trust with perceived flow and user loyalty were also performed. Two hundred students were the subjects of a Malaysian university to answer survey questions on their currently chosen mobile social network system. The correlations between perceptual variables on mobile SNS were then analyzed and various causal relations deduced. Research findings indicate both perceived information quality and perceived system quality correlates with perceived flow and perceived users’ trust, which further correlate mobile SNS users’ loyalty. Perceived user trust correlates with perceived flow, and both factors correlates with user loyalty. Perceived flow is regarded as the strongest factor that correlates with users’ loyalty. The paper rounds off with conclusions and an agenda for future research in this area.

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.

Examination of Mobile Social Networking Service (SNS) Users' Loyalty

2016 ◽  
Vol 7 (3) ◽  
pp. 59-73 ◽  
Author(s):  
Norazah Mohd Suki ◽  
Norbayah Mohd Suki
Keyword(s):  
Social Networking ◽  
Structural Equation ◽  
Information Quality ◽  
Sem Analysis ◽  
Equation Modeling ◽  
Future Research ◽  
System Quality ◽  
Communication Modalities ◽  
Mobile Sns ◽  
User Trust

Mobile-device-based social networking services (SNS) have become popular technology mediated communication modalities. Users' actively accesses Facebook, MySpace, Twitter and LinkedIn for social communication and entertainment. This study aims to examine the structural relationships of (i) perceived information quality and perceived system quality on perceived user trust and perceived flow, (ii) perceived user trust on perceived flow, and (iii) perceived user trust and perceived flow on mobile SNS users' loyalty simultaneously. Structural equation modeling (SEM) analysis via AMOS 20.0 computer program was used for data analysis as it has the ability to ensure the consistency of the model with the data and to estimate effects among constructs. Empirical results via SEM revealed that perceived information quality and perceived system quality significantly influences perceived users trust and perceived flow. Significant relationship also appears between perceived user trust and perceived flow. Moreover, mobile SNS users' loyalty significantly affected by both perceived user trust and perceived flow. The paper concludes with direction for future research.

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.

An empirical study on continuance intention of mobile social networking services

2014 ◽  
Vol 26 (2) ◽  
pp. 168-189 ◽  
Author(s):  
Lingling Gao ◽  
Xuesong Bai
Keyword(s):  
Information Quality ◽  
Service Providers ◽  
Network Size ◽  
Perceived Usefulness ◽  
Mobile Service ◽  
System Quality ◽  
Continuance Intention ◽  
Content Type ◽  
Factors Affecting ◽  
Mobile Sns

Purpose – Users' continuance intention is vital to the future of mobile social networking service (SNS) with rapid development and intensive competitions among its providers. The purpose of this research is to identify the factors affecting mobile SNS users' continuance intention. Design/methodology/approach – Data from an online survey administered to 228 mobile SNS users are used to test the research model through the use of structural equation modelling. Findings – The results show that flow, perceived usefulness and satisfaction determine continuance intention of mobile SNS. Moreover, the authors found that referent network size and perceived complementarity are the main factors affecting flow, whereas information quality is the main factor affecting perceived usefulness. Only system quality significantly affects satisfaction. Practical implications – The results imply that mobile service providers need to take the functional characteristics of the mobile SNS (e.g. system quality and information quality), network externalities (referent network size and perceived complementarity) and flow experience into consideration when encouraging users' continuance intention towards mobile SNS. Originality/value – Extant research has focused on initial adoption and usage of mobile SNS and has seldom considered post-adoption usage, which is critical to mobile service providers' success. This research tries to fill the gap by examining continuance intention to use mobile SNS. The theory embedded within the IS success model, network externalities and flow theory articulated that these three research domains can be integrated to better understand the factors that influence mobile SNS users' continuance intention.

Examining the dilution of the consumer-brand relationship on Facebook: the saturation issue

2017 ◽  
Vol 20 (3) ◽  
pp. 335-353 ◽  
Author(s):  
Zahy Ramadan
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Information Quality ◽  
Information Overload ◽  
Social Networking Site ◽  
System Quality ◽  
Structured Interviews ◽  
Content Type ◽  
Positive Side ◽  
Brand Relationship

Purpose Brands have been progressively using social networking sites, namely, Facebook, as part of their strategy to engage their consumers and ultimately build long-term relationships with them. Nonetheless, with the overuse of “engagement ads” by brands, saturation related to information overload is expected to be reached leading to the dilution of the consumer–brand relationship. The purpose of this paper is to fill a gap in the literature which has predominantly focused on the positive side of social networking sites, and hence still lacks a thorough understanding of the potential risks brands face when using Facebook. Accordingly, this research examines the different risks brands would be facing from saturated consumers on social networking sites such as Facebook. Design/methodology/approach A qualitative study was conducted, with a total of 40 respondents using face-to-face semi-structured interviews over two stages. While the first stage of the study focused on examining the saturation risk and its potential negative effects, the second one explored these risks specifically on the consumer–brand relationship on Facebook. The interviews were recorded, transcribed and then coded for analysis using NVivo 8. Findings Brands are overloading their followers with passively endorsed brand messages, which are negatively affecting consumers’ experience on Facebook, as well as the relationship with these brands. This overall dilution of the consumer–brand relationship on Facebook was hence found to be affecting interaction, similarity with friends, the system quality of the social networking site, as well as information quality. Furthermore, this dilution was found to be affecting brand likability, brand trust and brand association. Originality/value The negative implications are still scarcely examined in the literature where social media engagement is predominantly discussed through a positive lens. Hence, this study has the peculiarity of discussing the risks that companies would face with Facebook’s engagement model along with their implications on the consumer-brand relationship.

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.

scholarly journals Quality And Effectiveness Of Enterprise Resource Planning - Customer Relationship Management Systems: Implications For Information Systems Marketing Strategies

2011 ◽  
Vol 23 (3) ◽  
Author(s):  
Leonidas Hatzithomas ◽  
Ioannis Stamelos ◽  
Thomas Fotiadis ◽  
John Mylonakis
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
User Satisfaction ◽  
Positive Attitude ◽  
Information Quality ◽  
Resource Planning ◽  
Customer Relationship ◽  
Future Research ◽  
System Quality ◽  
Erp Systems

The present research examines the success of Enterprise Resource Planning (ERP) systems in Greece, employing Delone and McLean’s model. The questionnaires of the study were e-mailed to the 1,049 largest organizations based on turnover and assets. The final research sample consists of 105 Greek enterprises. The list of organizations was compiled by using the Index of Companies and Products Directory (ICAP). Results show that users have more positive attitude towards system quality and information quality and less positive attitude towards service quality. Moreover, users believe that ERP systems enhance their performance and can contribute to the control of management. Furthermore, present paper proved that D&M model constitutes a causal model with the exception of the variable of system use that is only related to user satisfaction, and ERP system quality.The findings of this research trigger many theoretical and managerial implications and create lots of potential for future research in the fields of Information Systems, Management, and Marketing.

scholarly journals Using a Mobile Social Networking App to Promote Physical Activity: A Qualitative Study of Users’ Perspectives (Preprint)

2018 ◽  
Author(s):  
Huong Ly Tong ◽  
Enrico Coiera ◽  
Liliana Laranjo
Keyword(s):  
Physical Activity ◽  
Social Networking ◽  
Physical Activity Intervention ◽  
Adult Population ◽  
Qualitative Interviews ◽  
Mobile App ◽  
Future Research ◽  
Great Promise ◽  
Mobile Social Networking

BACKGROUND Despite many health benefits of physical activity, nearly a third of the world’s adult population is insufficiently active. Technological interventions, such as mobile apps, wearable trackers, and Web-based social networks, offer great promise in promoting physical activity, but little is known about users’ acceptability and long-term engagement with these interventions. OBJECTIVE The aim of this study was to understand users’ perspectives regarding a mobile social networking intervention to promote physical activity. METHODS Participants, mostly university students and staff, were recruited using purposive sampling techniques. Participants were enrolled in a 6-month feasibility study where they were provided with a wearable physical activity tracker (Fitbit Flex 2) and a wireless scale (Fitbit Aria) integrated with a social networking mobile app (named “fit.healthy.me”). We conducted semistructured, in-depth qualitative interviews and focus groups pre- and postintervention, which were recorded and transcribed verbatim. The data were analyzed in Nvivo 11 using thematic analysis techniques. RESULTS In this study, 55 participants were enrolled; 51% (28/55) were females, and the mean age was 23.6 (SD 4.6) years. The following 3 types of factors emerged from the data as influencing engagement with the intervention and physical activity: individual (self-monitoring of behavior, goal setting, and feedback on behavior), social (social comparison, similarity and familiarity between users, and participation from other users in the network), and technological. In addition, automation and personalization were observed as enhancing the delivery of both individual and social aspects. Technological limitations were mentioned as potential barriers to long-term usage. CONCLUSIONS Self-regulatory techniques and social factors are important to consider when designing a physical activity intervention, but a one-size-fits-all approach is unlikely to satisfy different users’ preferences. Future research should adopt innovative research designs to test interventions that can adapt and respond to users’ needs and preferences throughout time.

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