Abstract
Social media acts as a collaborative channel between organisations and customers, which contributes to the improvement of services offered by the organisations. Based on the importance of social media interactions, the social content resulting from the collaborative process should be managed to ensure that the content provides value to both parties. This requirement has led to the development of the social content management (SCM) framework which need to be validated. Although this study is influenced by previous studies, the instrument used to validate the framework need to be revalidated to ensure its applicability in the SCM context. The contents of such instrument need to be rigorously validated via suitable approaches. This article proposes the application of the Lawshe's technique to determine the content validity of instrument. This quantitative technique had involved the computation of the content validity ratio (CVR) to validate items in a questionnaire, which were based on the factors for the SCM framework. Each item that was validated based on the CVR value of 0.75 and above was accepted for the final questionnaire. The CVR value indicated that these items could be used to validate the framework.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics |
| Subtitle of host publication | Sustainable Society Through Digital Innovation, ICEEI 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1-6 |
| Number of pages | 6 |
| Volume | 2017-November |
| ISBN (Electronic) | 9781538604755 |
| DOIs | |
| Publication status | Published - 9 Mar 2018 |
| Event | 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia Duration: 25 Nov 2017 → 27 Nov 2017 |
Other
| Other | 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 |
|---|---|
| Country | Malaysia |
| City | Langkawi |
| Period | 25/11/17 → 27/11/17 |
Fingerprint
Keywords
- Content Validity
- Content Validity Ratio
- Lawshe's Technique
- Social Content
- Social Content Management
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Optimization
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Information Systems
- Software
- Electrical and Electronic Engineering
- Health Informatics
Cite this
Validating the contents of a social content management framework. / Ahmad, Wan Azlin Zurita Wan; Mukhtar, Muriati; Yahya, Yazrina.
Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Validating the contents of a social content management framework
AU - Ahmad, Wan Azlin Zurita Wan
AU - Mukhtar, Muriati
AU - Yahya, Yazrina
PY - 2018/3/9
Y1 - 2018/3/9
N2 - Social media acts as a collaborative channel between organisations and customers, which contributes to the improvement of services offered by the organisations. Based on the importance of social media interactions, the social content resulting from the collaborative process should be managed to ensure that the content provides value to both parties. This requirement has led to the development of the social content management (SCM) framework which need to be validated. Although this study is influenced by previous studies, the instrument used to validate the framework need to be revalidated to ensure its applicability in the SCM context. The contents of such instrument need to be rigorously validated via suitable approaches. This article proposes the application of the Lawshe's technique to determine the content validity of instrument. This quantitative technique had involved the computation of the content validity ratio (CVR) to validate items in a questionnaire, which were based on the factors for the SCM framework. Each item that was validated based on the CVR value of 0.75 and above was accepted for the final questionnaire. The CVR value indicated that these items could be used to validate the framework.
AB - Social media acts as a collaborative channel between organisations and customers, which contributes to the improvement of services offered by the organisations. Based on the importance of social media interactions, the social content resulting from the collaborative process should be managed to ensure that the content provides value to both parties. This requirement has led to the development of the social content management (SCM) framework which need to be validated. Although this study is influenced by previous studies, the instrument used to validate the framework need to be revalidated to ensure its applicability in the SCM context. The contents of such instrument need to be rigorously validated via suitable approaches. This article proposes the application of the Lawshe's technique to determine the content validity of instrument. This quantitative technique had involved the computation of the content validity ratio (CVR) to validate items in a questionnaire, which were based on the factors for the SCM framework. Each item that was validated based on the CVR value of 0.75 and above was accepted for the final questionnaire. The CVR value indicated that these items could be used to validate the framework.
KW - Content Validity
KW - Content Validity Ratio
KW - Lawshe's Technique
KW - Social Content
KW - Social Content Management
UR - http://www.scopus.com/inward/record.url?scp=85050807606&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85050807606&partnerID=8YFLogxK
U2 - 10.1109/ICEEI.2017.8312373
DO - 10.1109/ICEEI.2017.8312373
M3 - Conference contribution
VL - 2017-November
SP - 1
EP - 6
BT - Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
PB - Institute of Electrical and Electronics Engineers Inc.
ER -