What drives successful social networking services? A comparative analysis of user acceptance of Facebook and Twitter
Bibliographic Data
| ID | 12008509 |
|---|---|
| Authors | Sang Jib Kwon (Graduate School of Innovation and Technology Management, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea), Eunil Park (0000-0002-3177-3538, Graduate School of Innovation and Technology Management, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea, corresponding author), Ki Joon Kim (0000-0003-4188-7915, Sungkyunkwan University) |
| Year | 2014 |
| Volume | 51 |
| Issue | 4 |
| Pages | 534-544 |
| Publication date | 2014-05-24 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Social Science Journal (JOURNAL) |
| Journal identifiers | ISSN: 0362-3319 • E-ISSN: 1873-5355 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1016/j.soscij.2014.04.005 |
| OpenAlex | W2091401192 |
| Language | EN |
| Citations received | 30 |
| References cited | 52 |
This study identifies perceived mobility, security, connectedness, system and service quality, usefulness, attitude, and flow experience as key motivational factors for using social networking services (SNSs), and develops a theoretical model that explicates the process in which users adopt Facebook and Twitter by integrating these factors with the technology acceptance model (TAM). While results of structural equation modeling (SEM) on the collected data (N = 2,214) verified the validity and reliability of the research model, Facebook and Twitter users were found to emphasize different motivational factors when deciding to use SNSs. The implications of notable findings and directions for future studies are discussed
Business · Computer security · Internet privacy · Key (lock · Process (computing · Quality (philosophy · Reliability (semiconductor · Service (business · Service quality · Social connectedness · Structural equation modeling · Technology Acceptance Model · Usability · Computer Science · Digital Marketing and Social Media · Impact of Technology on Adolescents · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital
Capítulo 6. El medio es el mensaje y el canal es el masaje
Political Communication With Social Media In Pakistan
Analyzing Privacy in Facebook
I “Like” It
TAM Constructs Predicting the Use of Mainstream Social Networking Sites by College Students in Kuwait
Digital natives’ snack content consumption and their goals
Determinants of consumer acceptance of mobile healthcare devices
Employee use of public social media
Fear of the dark
Investigation of information sharing via multiple social media platforms
Unlocking the Casino of Tomorrow
From Streaming to Traveling
How to measure engagement in Twitter
Facebook versus Instagram
Reckonings
Acceptance of Social Networking Sites by Older People before and after Covid-19 Confinement
Social media adoption in education
Message (in)congruence
An exploratory analysis of leakage warning behavior in lone-actor terrorists
Huawei knowledge transfer in Africa
Literacy and training in digital research
We Face, I Tweet
Drivers of Twitter as a strategic communication tool for non-profit organizations
Does it matter who “toots the horn” on Facebook and X? The differential effects of owned and earned social media on customers’ perceptions of firms
E-government services and social media adoption
What drives news sharing behaviour among social media users? A relational communication model from the social capital perspective
Mobile social tourism shopping
Antecedents of trust in using social media for E-government services
Examining the Role of Social Factors and Mooring Effects as Moderators on Consumers' Shopping Intentions in Social Commerce Environments
Multivariate data analysis
Technology acceptance model (TAM) and social media usage
A Comparison of the Theory of Planned Behavior and the Theory of Reasoned Action
The Effect of the Agency and Anthropomorphism on Users' Sense of Telepresence, Copresence, and Social Presence in Virtual Environments
Twitter versus Facebook
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Measuring User Influence in Twitter
Information Systems Success
An assessment of the use of partial least squares structural equation modeling in marketing research
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Power analysis and determination of sample size for covariance structure modeling.
User Acceptance of Computer Technology
Consumer trust in an Internet store
A tale of two sites
Facebook privacy settings
Structural equation modeling in practice
Introduction
Whose Space? Differences Among Users and Non-Users of Social Network Sites
Facebook and Online Privacy
Mobile internet acceptance in Korea
To tweet or not to tweet
Inside the blogosphere
Addiction to mobile text messaging applications is nothing to “lol” about
U txt WHEN? College students’ social contexts of text messaging
Significance tests and goodness of fit in the analysis of covariance structures
Social Network Sites
Defining Virtual Reality
"The Benefits of Facebook "Friends
The Theory of Reasoned Action
| Citations per year | 3 |
|---|---|
| Citation span | 2016 - 2026 (11) |
| Highly cited | No |