Abstract
Technology integration at mass level can help the emerging economies to fill the skill gaps by enhancing the digital competency in young fellows, particularly female students. The study aims to understand and craft the predictors of digital competency among female students. Therefore, a research framework was hypothesized by enlisting the personal innovativeness, facilitating condition and social influence towards behavioral intention to become the digital competent. An online survey was conducted to collect data from female students in two developing economies i.e., Pakistan and Bangladesh. The survey resulted in 254 responses with 130 from Pakistan and 124 from Bangladesh. Structural equation modeling analysis was conducted to comprehend the behavior factors. The results portrayed that grouped responses conferred all predictors significant towards behavior intention while in Bangladesh scenario, the social influence had no impact on female students' behavior towards becoming the digital competent. The study results will support the stakeholders to comprehend the predicaments of digital competency in females from developing countries.
| Original language | English |
|---|---|
| Title of host publication | 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 321-327 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781665440325 |
| DOIs | |
| State | Published - 29 Sep 2021 |
| Externally published | Yes |
Publication series
| Name | 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies, 3ICT 2021 |
|---|
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- behavioral intention
- digital competence
- female innovativeness
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Information Systems and Management
- Engineering (miscellaneous)
- Control and Optimization