Predicting Consumers' Usage Intention Towards User-Generated Content: A Hybrid SEM-ANN Approach
- Title
- Predicting Consumers' Usage Intention Towards User-Generated Content: A Hybrid SEM-ANN Approach
- Creator
- Mathur S.; Tewari A.; Shrivastava A.K.; Verma V.C.; Vishnoi S.K.; Sharma P.
- Description
- With the change in the communication pattern, end-users are engaging in creating content and refer-ring to the content created by other users while making purchase decisions. This research aims at modelling factors affecting consumers' usage intention (UI) towards user-generated content (UGC) using Need for Cogni-tion (NfC) as a moderator of the proposed relationships. The factors affecting consumers' UI involve perceived usefulness (PU), source credibility (SC), information quality (IQ) and NfC. Further, a novel attempt has been made by using the neural network approach to assess the predictive accuracy of the model. A structured ques-tionnaire was used to collect data from 298 consumers through a survey. Data were analysed using two-stage structural equation modelling (SEM) and artificial neural network (ANN). All the independent variables viz., PU, SC, IQ and NfC significantly affect attitude towards UGC, which in turn affects UI. Results of multi-group anal-ysis and a series of chi-square difference tests reveal that a NfC significantly moderates the relationship be-tween PU and attitude, as well as that between SC and attitude. The root mean square error values from the neural network analysis suggest that the models show good predictive accuracy. This study provides a novel assessment of the usage of a hybrid SEM-ANN approach for understanding of UGC by incorporating NfC as a moderator in shaping consumers' attitudes and intentions to use UGC. 2024 World Scientific Publishing Co.
- Source
- Journal of Information and Knowledge Management
- Date
- 2024-01-01
- Publisher
- World Scientific
- Subject
- atti-tude; information quality; moderation; need for cognition; neural network; perceived usefulness; source credibility; usage intention; User-generated content
- Coverage
- Mathur S., School of Business and Management, Christ University, Delhi NCR Campus, U.P., Ghaziabad, India; Tewari A., School of Management, Babu Banarasi das University, U.P., Lucknow, India; Shrivastava A.K., International Management Institute Kolkata, West Bengal, Kolkata, India; Verma V.C., BBA Department, Siddharth University, U.P., Siddharth Nagar, India; Vishnoi S.K., Department of Marketing, Institute of Management Studies, U.P., Ghaziabad, India; Sharma P., School of Business Studies, Sharda University, U.P., Greater Noida, India
- Rights
- Restricted Access
- Relation
- ISSN: 2196492
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Mathur S.; Tewari A.; Shrivastava A.K.; Verma V.C.; Vishnoi S.K.; Sharma P., “Predicting Consumers' Usage Intention Towards User-Generated Content: A Hybrid SEM-ANN Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/13391.