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.

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.

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.

Information Attacks and Defenses on the Social Web

2018 ◽  
pp. 216-235
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Real World ◽  
Web Sites ◽  
Online Social Networks ◽  
Social Web ◽  
Security Measures ◽  
The Social ◽  
Attacks And Defenses ◽  
Interest In Technology

Social web sites are used daily by many millions of users. They have attracted users with very weak interest in technology, including absolute neophytes of computers in general. Common users of social web sites often have a carefree attitude in sharing information. Moreover, some system operators offer sub-par security measures, which are not adequate for the high value of the published information. For all these reasons, online social networks suffer more and more attacks by sophisticated crackers and scammers. To make things worse, the information gathered from social web sites can trigger attacks to even more sensible targets. This work reviews some typical social attacks that are conducted on social networking systems, describing real-world examples of such violations and analyzing in particular the weakness of password mechanisms. It then presents some solutions that could improve the overall security of the systems.

Social Networking and Trust

2011 ◽  
pp. 32-41
Author(s):  
Vladlena Benson
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Cyber Threats ◽  
Current State ◽  
Trust Formation ◽  
Threat Mitigation ◽  
Silver Bullet ◽  
Insight Into

Based on the literature review of the theory of trust, this chapter aims to provide an insight into trust formation on social networking sites (SNS). An overview of the current state of cybercrime and known ways of threat mitigation helps shed some light on the reasons why social networks became easy targets for Internet criminals. Increasingly, personalisation is seen as a method for counteracting attacks perpetrated via phishing messages. This chapter aims to look specifically at trust in online social networks and how it influences vulnerability of users towards cybercrime. The chapter poses a question whether personalisation is the silver bullet to combat cyber threats on social networks. Further research directions are discussed.

Expanding Opportunities in a Shrinking World

2011 ◽  
pp. 491-507
Author(s):  
Avimanyu Datta ◽  
Len Jessup
Keyword(s):  
Social Networks ◽  
Theoretical Model ◽  
Social Networking ◽  
Virtual Environments ◽  
Social Entrepreneurship ◽  
Web Sites ◽  
Online Social Networks ◽  
Locating Information ◽  
The Relationship ◽  
Entrepreneurial Competency

The authors present a parsimonious theoretical model that illustrates how Internet-based virtual environments (such as social networking Web sites) moderate the relationship between social networks and social entrepreneurship. Social networks promote social entrepreneurship by means of (a) technology and knowledge transfer; (b) locating information; (c) generating entrepreneurial opportunities; (d) building entrepreneurial competency; (e) financing innovation; and (f) building effective networks for commercialization of innovations. Internet based virtual environments increase the velocity with which online social networks are formed and operationalized. They, thus, have a moderating effect in the relationship between social networks and social entrepreneurship. The authors also represent three concepts that are core to social networks: density, centrality, and heterogeneity. They posit that all three explain variance in social entrepreneurship and that Internet-based virtual environments moderate each of the relationships these three elements of social networks have with social entrepreneurship.

Virtual Research Conferences

2011 ◽  
Vol 3 (4) ◽  
pp. 32-45 ◽  
Author(s):  
Kamna Malik
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Educational Institutions ◽  
Environment Friendly ◽  
Face To Face ◽  
Web Tools ◽  
Potential Benefits ◽  
Virtual Conference ◽  
Potential Use

Research conferences provide an important platform for idea exchange and validation as well as for social networking and talent hunt. Online social networks and collaborative web tools can make conferences budget friendly for sponsors, flexible for attendees, and environment friendly for the society without loss of effectiveness. While many conferences have adopted such tools during pre and post conferencing stages, their use during actual meeting hours is very limited. This paper deliberates on the current and potential use of such technologies on various stages of a conference. It then presents the case of a pure virtual conference in comparison with a face to face conference with an aim to analyze the immediate benefits that virtual conferencing brings for organizers and participants. Perceived deterrents and potential benefits for various stakeholders are discussed. Suggestions are made for educational institutions to review their norms for conference sponsorships.

U-Shaped Conformity in Online Social Networks

2019 ◽  
Vol 38 (3) ◽  
pp. 461-480 ◽  
Author(s):  
Monic Sun ◽  
Xiaoquan (Michael) Zhang ◽  
Feng Zhu
Keyword(s):  
Social Networks ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Site ◽  
Adoption Rate

Conformity toward the majority choice among a user’s friends on a social-networking site first decreases and then increases with the adoption rate of that choice.

scholarly journals Addressing Misinformation in Online Social Networks: Diverse Platforms and the Potential of Multiagent Trust Modeling

Information ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 539
Author(s):  
Robin Cohen ◽  
Karyn Moffatt ◽  
Amira Ghenai ◽  
Andy Yang ◽  
Margaret Corwin ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Social Networks ◽  
Social Networking ◽  
Older Adult ◽  
Online Social Networks ◽  
Social Behaviour ◽  
Data Science ◽  
Science Studies ◽  
Trust Modeling ◽  
The Future

In this paper, we explore how various social networking platforms currently support the spread of misinformation. We then examine the potential of a few specific multiagent trust modeling algorithms from artificial intelligence, towards detecting that misinformation. Our investigation reveals that specific requirements of each environment may require distinct solutions for the processing. This then leads to a higher-level proposal for the actions to be taken in order to judge trustworthiness. Our final reflection concerns what information should be provided to users, once there are suspected misleading posts. Our aim is to enlighten both the organizations that host social networking and the users of those platforms, and to promote steps forward for more pro-social behaviour in these environments. As a look to the future and the growing need to address this vital topic, we reflect as well on two related topics of possible interest: the case of older adult users and the potential to track misinformation through dedicated data science studies, of particular use for healthcare.

scholarly journals Privacy study on images uploaded in social networks

2018 ◽  
Vol 7 (1.7) ◽  
pp. 142
Author(s):  
Hemalatha D ◽  
Almas Begum ◽  
Alex David S
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Mobile Devices ◽  
Public Interest ◽  
Online Social Networks ◽  
Personal Information ◽  
Personal Characteristics ◽  
The Social ◽  
Study Results ◽  
Privacy Settings

Presently, the growth of Social media is explosive among the users. Increasingly developed social websites like Flickr, Facebook, Google+, LinkedIn etc permits the users to create, share and view the post. Confidentiality is a leading factor required in Social Networks. The social users upload their photos to the social sites that intend to gain public interest for social purposes. The exposure of personal information leads to slipping process like identity stealing, morphing etc, which are against the privacy violations. Relied upon the personal characteristics of users, the privacy settings of each user should be defined. In this paper, a relational study about the privacy settings in Online Social structure is examined. Initiated by the importance of social networks among the social users and their behavior towards Online Social Networks, which is followed by the privacy techniques suggested by other researchers are explored. At last, an overview about the merits and demerits of privacy designs and schemes for the user-uploaded images are presented. The study results a new privacy system that controls the confidential information from being accessed from different devices, including mobile devices and computers.

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