Technology acceptance model and social network sites (SNS): a selected review of literature

2018 ◽  
Vol 67 (3) ◽  
pp. 142-153 ◽  
Author(s):  
Sureni Weerasinghe ◽  
Menaka Chandanie Bandara Hindagolla
Keyword(s):  
Social Network ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Network Sites ◽  
Review Of Literature ◽  
Acceptance Model

Acceptance of social network sites by university librarians

IFLA Journal ◽  
2021 ◽  
pp. 034003522098336
Author(s):  
Sureni Weerasinghe ◽  
Menaka Chandanie Bandara Hindagolla
Keyword(s):  
Social Network ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
New Technologies ◽  
Social Network Sites ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Library Science ◽  
Digital World ◽  
Acceptance Model

Libraries are being revolutionized by technological advancements which open up avenues to embed innovative library services. It is imperative for librarians to be in par with new technologies such as social network sites, to prove their worth in this competitive digital world. This study aims to explore factors affecting the acceptance of social network sites by university librarians by applying the technology acceptance model. The findings revealed that perceived usefulness and perceived ease of use were significant predictors of acceptance of social network sites. Trust was found to exert a significant indirect effect on the librarians’ intention to use social network sites. This study contributes to the theoretical novelty of the intersecting field of library science, social network sites and the technology acceptance model, which has received less attention in the literature. Also, this study attempts to fill the gap in the adoption literature, where librarians are rarely acknowledged as users, while supporting the validation of the technology acceptance model in a developing-country context. Overall, the proposed research model explained 58.4% ( R 2 = 0.584) of variance in the dependent variable of behavioural intention.

Gender Differences in the Technology’s Classic Models in Social Network Sites

2014 ◽  
pp. 126-142
Author(s):  
Begoña Peral-Peral ◽  
Ángel F. Villarejo-Ramos ◽  
Manuel J. Sánchez-Franco
Keyword(s):  
Gender Differences ◽  
Social Networks ◽  
Social Network ◽  
Technology Acceptance ◽  
Information And Communication Technologies ◽  
Social Network Sites ◽  
Communication Technologies ◽  
Internet Users ◽  
Information And Communication ◽  
Acceptance Model

Social Network Sites (SNS) have very rapidly become part of the daily reality of Internet users in recent years. Firms also use social networks as a two-way communication with their current and potential customers. This exploratory work means to analyze if Internet users’ gender influences the behavior of using social networks. There is a reason for this. Despite Information and Communication Technologies (ICT) acceptance and use being more frequent in men, according to the previous literature, in line with different surveys on the subject, social networks are more used by women. The authors, therefore, analyze in this chapter if there are gender differences in the constructs of technology’s classic models, such as the TAM (Technology Acceptance Model) and the TPB (Theory of Planned Behavior). They use a sample of 1,460 university students.

Sealing One's Online Wall Off From Outsiders

2016 ◽  
Vol 12 (1) ◽  
pp. 21-34 ◽  
Author(s):  
Ardion Beldad
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Personal Information ◽  
Online Social Network ◽  
Social Network Sites ◽  
Third Party ◽  
Hierarchical Regression ◽  
Future Research ◽  
Privacy Settings ◽  
Acceptance Model

Pieces of personal information (e.g. contact details, photos, thoughts and opinions on issues and things) on online social network sites are susceptible to third-party surveillance. While users are provided with the possibility to prevent unwarranted access using available privacy settings, such settings may not often be adequately used. This research investigated the factors influencing the use of Facebook's privacy settings among young Dutch users based on the premises of Protection Motivation Theory and Technology Acceptance Model. A paper-based survey was implemented with 295 students in a vocational school in the eastern part of the Netherlands. Results of hierarchical regression analysis indicate that privacy valuation, self-efficacy, and respondents' age positively influenced the use of Facebook's privacy settings. Furthermore, the size of Facebook users' network negatively influences the use of those settings. Important results and points for future research are discussed in the paper.

scholarly journals A knowledge structures exploration on social network sites

Kybernetes ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 818-839 ◽  
Author(s):  
Manuel J. Sánchez-Franco ◽  
Mirian Muñoz-Expósito ◽  
Ángel F. Villarejo-Ramos
Keyword(s):  
Social Network ◽  
Technology Acceptance ◽  
Social Services ◽  
Graphical Representation ◽  
Social Network Sites ◽  
Community Support ◽  
Individual Characteristics ◽  
Content Type ◽  
Associative Network ◽  
Acceptance Model

Purpose This paper aims to describe a method for combining perceived community support, relationship quality and the extended technology acceptance model in the same empirically derived associative network. The research also examines the moderating role of accumulation of knowledge (based on beliefs and opinions) derived from social interactions. Design/methodology/approach The Pathfinder algorithm is a valid approach for determining network structures from relatedness data. Such a graphical representation provides managers with a comprehensible picture of how social behaviours relate to loyalty-based dimensions. Findings As the benefits of community participation and integration might be differently evaluated by new and long-term users, the research examines the associative network by levels of user familiarity. This study indeed contributes to the analysis of enduring social bonds with respect to individuals’ decision-making processes, as it provides details representing specific relationships between diverse concepts based on true-loyalty. Practical implications The application of Pathfinder to the study of online social services and user behaviour appears to have potential for unveiling the structures of social network sites members and designing successful strategies for prospective community managers. Originality/value This is the first study to the author’s knowledge that empirically tests a theory-grounded framework for integrating individual characteristics and relational driver and focuses on associative structures evidenced as a representation of the most salient loyalty-based concepts by also studying the moderating effects of familiarity.

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