Abstract
The contemporary era of globalization has witnessed significant transformations in social interactions due to the emergence of social media platforms. These digital tools have enabled individuals to connect with each other and have contributed to the dissemination of information on a global scale. This research aims to investigate the impact of perceived risks, benefits, and the big five personality traits - as a boundary condition - on self-disclosure practices on social media platforms. To achieve this objective, the survey approach was used to collect data from social network users. SmartPLS is utilized to test the proposed theoretical model and to analyze the collected data. The results of this study propose that disclosure of personal data is significantly associated with perceived benefits and risks. However, no evidence was found to support the moderating role of personality traits in the relationships studied.
Original language | English |
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Title of host publication | 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2158-2163 |
Number of pages | 6 |
ISBN (Electronic) | 9798350311402 |
DOIs | |
State | Published - 2023 |
Event | 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023 - Rome, Italy Duration: 3 Jul 2023 → 6 Jul 2023 |
Publication series
Name | 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
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Conference
Conference | 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023 |
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Country/Territory | Italy |
City | Rome |
Period | 3/07/23 → 6/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Big Five
- Personal Data Disclosure
- Personality traits
- Privacy Calculus
- Social Media
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems
- Decision Sciences (miscellaneous)
- Information Systems and Management
- Control and Systems Engineering
- Control and Optimization
- Artificial Intelligence