抄録
Excessive Social Networking Site (SNS) usage leads to negative consequences that are associated with addiction. We assessed the symptoms of excessive SNS usage by studying user behavior in SNSs. Understanding how people behave in them helps detect and identify the symptoms of excessive SNS usage. In our previous studies, we developed a data collection application and experimentally collected data from undergraduate students in Thailand. We employed modified versions of Internet Addiction Test (IAT) and Bergen Facebook Addiction Scale (BFAS) for measuring SNS addiction. Our results identified the differences between excessive and normal users. In this article, we clarified the factors associated with addiction components reflected by IAT and BFAS question items. Our analytic results indicated the effective factors for addiction components.
| 本文言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of 2018 5th International Conference on Business and Industrial Research |
| ホスト出版物のサブタイトル | Smart Technology for Next Generation of Information, Engineering, Business and Social Science, ICBIR 2018 |
| 出版社 | Institute of Electrical and Electronics Engineers Inc. |
| ページ | 137-142 |
| ページ数 | 6 |
| ISBN（電子版） | 9781538652541 |
| DOI | |
| 出版ステータス | Published - 2018 6月 20 |
| 外部発表 | はい |
| イベント | 5th International Conference on Business and Industrial Research, ICBIR 2018 - Bangkok, Thailand 継続期間: 2018 5月 17 → 2018 5月 18 |
Other
| Other | 5th International Conference on Business and Industrial Research, ICBIR 2018 |
|---|---|
| 国/地域 | Thailand |
| City | Bangkok |
| Period | 18/5/17 → 18/5/18 |
ASJC Scopus subject areas
- ビジネス、管理および会計（その他）
- 人工知能
- コンピュータ サイエンスの応用
- 産業および生産工学
- 社会科学（その他）
- 信号処理
- 情報システムおよび情報管理
- 経営科学およびオペレーションズ リサーチ