scholarly journals Socio-psychological factors influencing continuance intention of participants using online social networks to buy

2015 ◽  
Vol 4 (4) ◽  
pp. 92-101 ◽  
Author(s):  
Akwesi Assensoh-Kodua
Keyword(s):  
Social Networks ◽  
Social Relations ◽  
User Satisfaction ◽  
Online Social Networks ◽  
Online Survey ◽  
Service Use ◽  
Strong Relationship ◽  
Continuance Intention ◽  
Perceived Trust ◽  
Commercial Activities

The purpose of this study is to investigate the influence of perceived trust (PT), social norm (SN), user satisfaction (US) and perceived behavioural control (PBC) from the perspective of online social networks (OSNs) and how these factors influence continuance intention of OSN particpants who have ever been influenced to buy on this platform to continue buying from OSNs. Online survey was used to collect data from people who have ever used OSNs to buy, at least once. The WarpPLS 4.0 was used to analyse measurement and structural models resulting in significant evidence in support of PT, SN and US as predictors of OSN continuance intention, different from the traditional web-based transactions. For instance, trust in OSN is revealled to be based mainly on the degree of the social relations that users have with their vendors because they are members on the network, on top of their experiences of Web service use. US were influenced by PBC, while US also influenced SN and PT with PT exhibiting a strong relationship with SN. These results have practical implications for individuals desiring to engage in commercial activities on OSNs.

scholarly journals Social purchasing and the influence of social networking: a conceptual view

2016 ◽  
Vol 11 (3) ◽  
pp. 44-57
Author(s):  
Akwesi Assensoh-Kodua
Keyword(s):  
Social Relations ◽  
User Satisfaction ◽  
Online Social Networks ◽  
Service Use ◽  
Behavioral Control ◽  
Strong Relationship ◽  
Jel Classification ◽  
Perceived Behavioral Control ◽  
Continuance Intention ◽  
Web Based

Internet has enabled businesses to offer their merchandise through web-based applications, of which recent phenomenon includes online social networks (OSNs). This paper studies the influence of OSNs through the lens of perceived trust (PT), social norm (SN), user satisfaction (US) and perceived behavioral control (PBC) to find out how these influence participants of OSNs continuance buying intention. A model of IS continuance intention of web-based application was developed to test the above factors. The results show that trust in OSN is based mainly on the degree of the social relations that users have with their vendors, because they are members on the network, on top of their experiences of web service use. US was influenced by PBC, while US also influenced SN and PT with PT exhibiting a strong relationship with SN. Keywords: continuance intention, OSN, participants, purchasing. JEL Classification: Z13, G21, M10, M31, D11, D12

scholarly journals Habit as a moderator and exogenous predictor of social networks: The case of online social networking

2015 ◽  
Vol 4 (4) ◽  
pp. 354-363
Author(s):  
Akwesi Assensoh-Kodua ◽  
Knowledge Siyabonga Vusamandla Ngwane
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
User Satisfaction ◽  
Online Social Networks ◽  
Moderating Effects ◽  
Continuance Intention ◽  
Predictive Capability ◽  
Perceived Trust ◽  
Business Transactions ◽  
Study Results

This paper tests the factors likely to impact continuance intentions through the medium of online social networks (OSN) for business transactions. The expectation-confirmation theory (ECT) from the consumer behaviour literature is made use of; to forward a set of theories that validate a prior model from IS usage research. Eight research hypotheses, after a field survey of OSNs participants for business transactions were conducted are empirically validated. 300 useable responses from LinkedIn and Twitter social networking platforms users for business transactions were analysed with the WarpPLS 4.0 bootstrapping technique. The study results provide significant evidence in support of perceived trust and user satisfaction, as determinants of the continuance intention of people using OSN platforms for business transactions. Above all, the research model was tested for the moderating effects of usage habit, which was found to impact relationships between continuance intention and perceived trust, resulting in an improved predictive capability of (R2=0.55) as compared to base model of (R2=0.52). The moderating result indicates that a higher level of habit increases the effect of perceived trust on continuance intention.

Charting sustained usage toward mobile social media application: the criticality of expected benefits and emotional motivations

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xuan Cu Le
Keyword(s):  
Social Media ◽  
User Satisfaction ◽  
Positive Emotions ◽  
Online Survey ◽  
Continuance Intention ◽  
Convenience Sample ◽  
Content Type ◽  
Media Platform ◽  
Self Discovery ◽  
Expected Benefits

PurposeZalo is a Vietnam social media platform attracting over 100 m users worldwide. The work aims to ascertain how to boost users' satisfaction, habit and continuance intention toward Zalo based on the expectation confirmation theory (ECT) and its extension through the impacts of expected benefits and emotional motivations.Design/methodology/approachData are collected via an online survey on a convenience sample of 356 Zalo users. Statistical analysis is performed using Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) to test proposed hypotheses.FindingsResults indicate that confirmation positively influences expected benefits (i.e. pervasiveness, socialization, and self-discovery) and satisfaction. Moreover, satisfaction and habit are jointly stimulated by expected benefits and emotional motivations. Outcomes also reveal that satisfaction is a motivator of habit, which in turn surmises evidently to continuance intention.Practical implicationsFindings assist practitioners to develop their business trajectories by improving beneficial services of Zalo and positive emotions. This fulfills user satisfaction and habit, and promotes continuance behavior accordingly.Originality/valueConfirmation and expected benefits are acknowledged as the drivers of satisfaction, but existing literature remains inconclusive about dimensions of expected benefits influencing satisfaction and habit in social media. Furthermore, this study, by an extended ECT, explores emotional motivations for satisfaction and habit. Ultimately, habit is uncovered to foster prolonged usage.

Privacy Information Leakage Prevention in Cognitive Social Mining Applications

2019 ◽  
pp. 188-212
Author(s):  
Suriya Murugan ◽  
Anandakumar H.
Keyword(s):  
Social Networks ◽  
Social Relations ◽  
Private Information ◽  
Online Social Networks ◽  
Information Leakage ◽  
User Profile ◽  
User Privacy ◽  
Sensitive Data ◽  
Data Set ◽  
Secure Information

Online social networks, such as Facebook are increasingly used by many users and these networks allow people to publish and share their data to their friends. The problem is user privacy information can be inferred via social relations. This chapter makes a study and performs research on managing those confidential information leakages which is a challenging issue in social networks. It is possible to use learning methods on user released data to predict private information. Since the main goal is to distribute social network data while preventing sensitive data disclosure, it can be achieved through sanitization techniques. Then the effectiveness of those techniques is explored, and the methods of collective inference are used to discover sensitive attributes of the user profile data set. Hence, sanitization methods can be used efficiently to decrease the accuracy of both local and relational classifiers and allow secure information sharing by maintaining user privacy.

scholarly journals A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 772 ◽  
Author(s):  
Nemec Zlatolas ◽  
Welzer ◽  
Hölbl ◽  
Heričko ◽  
Kamišalić
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Significant Relationships ◽  
Privacy Issues

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

Privacy Information Leakage Prevention in Cognitive Social Mining Applications

2021 ◽  
pp. 2110-2134
Author(s):  
Suriya Murugan ◽  
Anandakumar H.
Keyword(s):  
Social Networks ◽  
Social Relations ◽  
Private Information ◽  
Online Social Networks ◽  
Information Leakage ◽  
User Profile ◽  
User Privacy ◽  
Sensitive Data ◽  
Data Set ◽  
Secure Information

Online social networks, such as Facebook are increasingly used by many users and these networks allow people to publish and share their data to their friends. The problem is user privacy information can be inferred via social relations. This chapter makes a study and performs research on managing those confidential information leakages which is a challenging issue in social networks. It is possible to use learning methods on user released data to predict private information. Since the main goal is to distribute social network data while preventing sensitive data disclosure, it can be achieved through sanitization techniques. Then the effectiveness of those techniques is explored, and the methods of collective inference are used to discover sensitive attributes of the user profile data set. Hence, sanitization methods can be used efficiently to decrease the accuracy of both local and relational classifiers and allow secure information sharing by maintaining user privacy.

Exploring Relationship Quality of User's Cloud Service

2019 ◽  
Vol 31 (3) ◽  
pp. 17-36
Author(s):  
Tung-Hsiang Chou
Keyword(s):  
Service Quality ◽  
Relationship Quality ◽  
User Satisfaction ◽  
Online Survey ◽  
Service Providers ◽  
Cloud Service ◽  
Service Needs ◽  
Continuance Intention ◽  
Theoretical Understanding

The purpose of this article is to develop a research model examining the effects on relationship quality of a cloud service and to investigate the continuance intention of SaaS CRM (Software as a Service Customer Relationship Management) based on SaaS cloud service quality of service (SaaS-Qual) model. As basis theories, the study adopted service quality of SaaS and a post-acceptance model of IS continuance. The study also adds a relationship of quality as a moderate variance to validate the feasibility of cloud service. An online survey and a paper-questionnaire were used to collect data, and most respondents were experienced with using SaaS service for CRM for at least one year. The research causal model was validated by using SEM, and all eight study hypotheses were supported. These results indicate that relationship quality played an important role in influencing users' satisfaction and trust of SaaS's CRM service. High SaaS service quality could also increase users' intention to use cloud service continuously. SaaS CRM service providers should focus on enhancing relationship quality through motivational cloud service needs and SaaS CRM service features to increase user satisfaction and enhance levels of trust to promote continued use of SaaS service on the internet. This study contributes to a theoretical understanding of how relationship quality and cloud service can affect continuance intention.

scholarly journals Fear of Missing Out, online social networking and mobile phone addiction: A latent profile approach

2017 ◽  
Vol 35 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Héctor Fuster ◽  
Ander Chamarro ◽  
Ursula Oberst
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Mobile Phone ◽  
Online Social Networks ◽  
Online Survey ◽  
Latent Profile Analysis ◽  
Fear Of Missing Out ◽  
Mobile Phone Addiction ◽  
High Engagement ◽  
Latent Profile

Background and aims: Fear of missing out (FoMO) is described as a pervasive unpleasant sensation that others might be having rewarding experiences of which one is not part, as well as the desire to stay continually connected with what others are doing. It has shown to play an important mediating role in predicting negative outcomes of heavy use of these networks. The aim of the present study was to analyze the different profiles found among users. Methods: 5,280 Spanish speaking social media users from Latin America replied in an online survey to the Spanish version of the FoMO scale, to a short set of questionnaires on online social network use (frequency, intensity and type of access) and indicators of mobile phone addiction. Results: FoMO correlated with the number of different networks used and with all indicators of social network use and mobile phone addiction. Using a Latent Profile Analysis, four classes of users were identified: low-engagement light users, high-engagement heavy users, high-engagement low-risk users, and high-engagement high-risk users; individuals from the fourth class can be considered at risk for developing addiction to online social networks (7.6 % of the sample). Discussion: Accessing the social networks via the mobile phone and presenting addictive behavior seem to be important correlates of FoMO. 

scholarly journals Factors that determine the continuance intention of people to use online social networks for business transactions

2015 ◽  
Author(s):  
◽  
Akwesi Assensoh-Kodua
Keyword(s):  
Social Networking ◽  
User Satisfaction ◽  
Social Norm ◽  
Research Study ◽  
Online Social Networking ◽  
Continuance Intention ◽  
Predictive Capability ◽  
Perceived Behavioural Control ◽  
Perceived Trust ◽  
Business Transactions

Social computing researchers are devoting efforts to understand the complex social behaviour of people using social networking platforms, such as Twitter, LinkedIn and Facebook, so as to inform the design of human-centered and socially aware systems. This research study investigates the factors of perceived trust, user satisfaction, social norm and perceived behavioural control, to develop a model for predicting the continuance intention of people to use online social networking for business transactions. In order to validate the predictive capability of the model developed, an online survey was used to collect 300 useable responses from people who have used LinkedIn and Twitter social networking platforms for business transactions at least once. The Partial Least Square (PLS) mathematical analysis tool was thereafter used to perform confirmatory factor analysis, analysis of measurement and structural models. The study results provide significant evidence in support of the factors of perceived trust, social norm and user satisfaction, as determinants of the continuance intention of people using online social networking platforms for business transactions. Perceived trust was found to exhibit a strong relationship with social norm and explains a variance of (R2=0.47). In addition, social norm explains a variance of (R2=0.44) and user satisfaction explains a variance of (R2=0.42), resulting in the model predicting (R2=0.56) continuance intention. In addition, the research model was tested for the moderating effects of usage habit, which were found to significantly moderate relationships between continuance intention and perceived trust, PBCand social norm, resulting in an improved predictive capability of (R2=0.89). The moderating result indicates that a higher level of habit increases the effect of perceived trust, Perceived Behavioural Control (PBC) and social norm on continuance intention. This result confirms the theoretical argument that the strength of user satisfaction to predict continuance, is strengthened by usage habit. The results of this research study generally have practical implications for individuals who desire to offer commercial services on online social networking technologies, to seriously consider building trust and maintaining user satisfaction to sustain their businesses. They should also think of strategies embedded in peer pressure, to attract, retain and establish trustworthy relationships with customers.

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