Technology and Social Media Usage in Higher Education
The Influence of Individual Innovativeness
Bibliographic Data
| ID | 5159626 |
|---|---|
| Authors | Tahani Z Aldahdouh (0000-0002-1190-3139, Tampere University, corresponding author), Petri Nokelainen (0000-0002-8195-7001, Tampere University), Vesa Korhonen (0000-0001-5265-4549, Tampere University) |
| Year | 2020 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2020-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | SAGE Open (JOURNAL) |
| Journal identifiers | ISSN: 2158-2440 • E-ISSN: 2158-2440 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/2158244019899441 |
| OpenAlex | W3000309380 |
| Language | EN |
| Citations received | 26 |
| References cited | 83 |
This article presents a two-phase study exploring the usage of technology in higher education as well as the role of the general innovativeness in predicting the actual use of technology. During the first phase of the study, which involved 502 staff members, a descriptive analysis of their usage of social media, technological devices, and Microsoft Office 365 cloud services was performed, with various demographic variables being considered. During the second phase, which involved a subsample of 106 staff members, structural equation modeling (SEM) was used to examine a model in which the general innovativeness and the demographic variables acted as predictors of the actualized innovativeness. The results showed that the staff used social media, devices, and cloud services quite satisfactorily. The examination of their user profiles revealed that there were significant differences among the staff members on the basis of their demographic variables, especially their gender, job type, and discipline. The results of the SEM showed that the general innovativeness contributed positively, as was expected, to predicting the adoption of devices, non-academic social networking sites and Office 365 cloud services. The results further suggested that males were early adopters of devices, while academics were early adopters of commercial services and academic social networking sites. However, the academics appeared to lag behind the administrators in terms of adopting Office 365 cloud services. The implications of the study and directions for future research are also presented
Business · Cloud computing · Descriptive statistics · Social influence · Social media · Statistics · Structural equation modeling · World Wide Web · Computer Science · Impact of Technology on Adolescents · Knowledge Management and Sharing · Mathematics · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing
Technology Appropriation in Higher Education
Instructional Risk and Crisis Communication at Higher Education Institutions during Covid-19
Teaching English and Innovations at Schools
Infraestructura tecnológica en los procesos de enseñanza-aprendizaje en instituciones educativas
The Impact of Organizational Media Performance on Social Media Management
Predicting users’ behavior
Social media use by teachers during work and its effects on their performance
Music streaming dalam industri musik era industri 4.0
Social media usage and acceptance in higher education
Integrating the Role of UTAUT and TTF Model to Evaluate Social Media Use for Teaching and Learning in Higher Education
Student Involvement in Digital Tool Selection
Mapping Research on Music Education Faculty Structure in Higher Education (1980–2025)
Acceptance of educational use of the Internet of Things (IoT) in the context of individual innovativeness and ICT competency of pre-service teachers
Adopting social media for learning among university students
Closing the divide
Social Workers’ Concerns About Artificial Intelligence
Factors Shaping the Adoption of AI Tools among Gen Z
Identifying Multilevel Predictors of Digipedagogical Competence among Secondary School Teachers in the United States
An Organizational Change With Quarantined Members
Social media adoption in education
Musical communication in social networks
Understanding the intention to use artificial intelligence chatbots in education
Social Media as an Information Source of Political Learning in Online Education
Moderating Effects of Consumers' Personal Innovativeness on the Adoption and Purchase Intention of Wearable Devices
Social Media and SMEs' Performance in Developing Countries
Effect of Mobile Social Apps on Consumer's Purchase Attitude
Social media in higher education
How leaders influence employees' innovative behaviour
Why Don’t Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior1
Testing the significance of a correlation with nonnormal data
Cutoff criteria for fit indexes in covariance structure analysis
Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results
Common method biases in behavioral research
Findings on Facebook in higher education
Facebook and the others. Potentials and obstacles of Social Media for teaching in higher education
Higher education scholars' participation and practices on Twitter
A methodological review of structural equation modelling in higher education research
I am no longer alone – How do university students perceive the possibilities of social media
Using Social Media as a Tool for Improving Academic Performance through Collaborative Learning in Malaysian Higher Education
Is There Social Capital in a Social Network Site
Cloud Computing Adoption Model for Universities to Increase ICT Proficiency
No Time to Think
Innovativeness
Scales for the Measurement of Innovativeness
| Unique citing works | 26 |
|---|---|
| Citations per year | 5,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 21 |