The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: An extension of the technology acceptance model

2018 ◽  
Vol 23 (6) ◽  
pp. 2477-2498 ◽  
Author(s):  
Lam Wai Leong ◽  
Othman Ibrahim ◽  
Mohammad Dalvi-Esfahani ◽  
Hamed Shahbazi ◽  
Mehrbakhsh Nilashi
Keyword(s):  
Social Network ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Network Sites ◽  
Moderating Effect ◽  
Mobile Social Network ◽  
Intention To Adopt ◽  
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.

scholarly journals ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI ADOPSI TWITTER ADVERTISING PADA SEGMEN MUDA USIA 15 – 24 TAHUN WILAYAH JABODETABEK (JAKARTA, BOGOR, DEPOK,TANGGERANG, BEKASI) TAHUN 2011

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Edith Lavindri ◽  
Pepey Riawati Kurnia
Keyword(s):  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Acceptance Model ◽  
Model Theory ◽  
Reasoned Action ◽  
Subjective Norm ◽  
Perceived Usefulness ◽  
Intention To Adopt ◽  
Innovation Model ◽  
Acceptance Model

Teori dan Model Theory of Reasoned Action (TRA) dari Fishbein & Ajzen (1975), Theory Planned Behavior (TPB) dari Ajzen (1991), Technology Acceptance Model (TAM) dari Davis (1989) dan Diffusion of Innovation Model (DOI) dari Rogers (1983 dalam Rogers, 2003) sering digunakan oleh banyak peneliti untuk menemukan faktor – faktor yang mempengaruhi adopsi yang berkaitan dengan teknologi. Pada penelitian ini keempat teori dan model ini dikombinasikan guna menjelaskan faktor – faktor yang mempengaruhi adopsi Twitter advertising pada segmen muda usia 15 – 24 tahun. Sebanyak 389 penguna Twitter menjadi responden penelitian ini, dimana 5 diantaranya diwawancara untuk mendapatkan pemahaman mendalam akan adopsi Twitter advertising. Hasil analisis menunjukkan bahwa terdapat attitude terhadap Twitter advertising, subjective norm terhadap Twitter advertising, perceived usefulness terhadap Twitter advertising berpengaruh dan signifikan terhadap intention to adopt Twitter advertising.

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.

Predicting Internet Use

2011 ◽  
pp. 13-29 ◽  
Author(s):  
William R. Chrismar ◽  
Sonja Wiley-Patton
Keyword(s):  
Information Technology ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Extended Model ◽  
It Adoption ◽  
Business Managers ◽  
Intention To Adopt ◽  
Medical Sector ◽  
Acceptance Model ◽  
Health Applications

The technology acceptance model (TAM; Davis, 1989) has been widely used by information technology researchers to gain a better understanding of information technology (IT) adoption and its use in organizations. While TAM has been applied and tested in academic and corporate settings, involving students, business managers, and clerical and administrative types as participants, few studies have evaluated TAM in the healthcare environment. This chapter examines the applicability of the extended technology acceptance model (TAM2; Ventkatesh & Davis, 2000) in the context of physicians’ intention to adopt Internet-based health applications. Data was collected in a survey of pediatricians to see how well the extended model fits in the medical sector. This chapterdiscusses the implications, limitations, and possible explanations for the inconsistent results found within the model when applied to such professional users as physicians.

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.

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