An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach
This analysis integrates the �technology acceptance model (TAM)� with the �use of gratifications theory (U&G)� to develop an embedded model that predicts the use and satisfaction of emotional icons called stickers through WhatsApp. The explanation for combining these two theories is that U&G...
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Growing Science
2023
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my.uniten.dspace-267712023-05-29T17:36:37Z An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach Alhumaid K. Alnazzawi N. Akour I. Al Khasoneh O. Alfaisal R. Salloum S. 57211713050 57190124338 6504754448 57852101700 57254272400 57195670894 This analysis integrates the �technology acceptance model (TAM)� with the �use of gratifications theory (U&G)� to develop an embedded model that predicts the use and satisfaction of emotional icons called stickers through WhatsApp. The explanation for combining these two theories is that U&G offers accurate information and a thorough knowledge of use, while TAM theory has been firmly established in several technical implementations. A newly developed hybrid analysis proce-dure has been applied within this research. Using an artificial neural network (ANN), and the structural equation model (SEM) have been combined. The research also uses the importance-perfor-mance map analysis (IPMA) to present each factor�s performance as well as importance. The ANN and IPMA research have both indicated that for sticker use intention, a highly essential predictor is Socialization. An online questionnaire survey was developed to assess the recommended model. The intention to use stickers was significantly affected by �Socialization, Self Presentation, Enjoyment, Novelty, Unique Function, Perceived Ease of Use, and Perceived Usefulness�. The research's main achievement is the convergence of two separate theories into a single conceptualization to accurately calculate the TAM components when it comes to the usage of stickers in WhatsApp. Theoretically, the recommended model provides enough insight for aspects which affect the intention to use stickers with relevance to the socialization�s factors considering interpersonal aspects. Practically, the higher education decision-makers along with professionals would extract variables that are important as compared to others and policies would be developed accordingly. The deep ANN model compe-tence has been analyzed within the research to decide upon the non-linear associations between variables of the theoretical model, methodologically. � 2022 by the authors; licensee Growing Science, Canada. � 2022 by the authors; licensee Growing Science, Canada. Final 2023-05-29T09:36:37Z 2023-05-29T09:36:37Z 2022 Article 10.5267/j.ijdns.2022.6.008 2-s2.0-85136251424 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136251424&doi=10.5267%2fj.ijdns.2022.6.008&partnerID=40&md5=981c71a14e4183ab44aa7bfa036057ba https://irepository.uniten.edu.my/handle/123456789/26771 6 4 1261 1272 All Open Access, Gold Growing Science Scopus |
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This analysis integrates the �technology acceptance model (TAM)� with the �use of gratifications theory (U&G)� to develop an embedded model that predicts the use and satisfaction of emotional icons called stickers through WhatsApp. The explanation for combining these two theories is that U&G offers accurate information and a thorough knowledge of use, while TAM theory has been firmly established in several technical implementations. A newly developed hybrid analysis proce-dure has been applied within this research. Using an artificial neural network (ANN), and the structural equation model (SEM) have been combined. The research also uses the importance-perfor-mance map analysis (IPMA) to present each factor�s performance as well as importance. The ANN and IPMA research have both indicated that for sticker use intention, a highly essential predictor is Socialization. An online questionnaire survey was developed to assess the recommended model. The intention to use stickers was significantly affected by �Socialization, Self Presentation, Enjoyment, Novelty, Unique Function, Perceived Ease of Use, and Perceived Usefulness�. The research's main achievement is the convergence of two separate theories into a single conceptualization to accurately calculate the TAM components when it comes to the usage of stickers in WhatsApp. Theoretically, the recommended model provides enough insight for aspects which affect the intention to use stickers with relevance to the socialization�s factors considering interpersonal aspects. Practically, the higher education decision-makers along with professionals would extract variables that are important as compared to others and policies would be developed accordingly. The deep ANN model compe-tence has been analyzed within the research to decide upon the non-linear associations between variables of the theoretical model, methodologically. � 2022 by the authors; licensee Growing Science, Canada. � 2022 by the authors; licensee Growing Science, Canada. |
| author2 |
57211713050 |
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57211713050 Alhumaid K. Alnazzawi N. Akour I. Al Khasoneh O. Alfaisal R. Salloum S. |
| format |
Article |
| author |
Alhumaid K. Alnazzawi N. Akour I. Al Khasoneh O. Alfaisal R. Salloum S. |
| spellingShingle |
Alhumaid K. Alnazzawi N. Akour I. Al Khasoneh O. Alfaisal R. Salloum S. An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| author_sort |
Alhumaid K. |
| title |
An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| title_short |
An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| title_full |
An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| title_fullStr |
An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| title_full_unstemmed |
An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach |
| title_sort |
integrated model for the usage and acceptance of stickers in whatsapp through sem-ann approach |
| publisher |
Growing Science |
| publishDate |
2023 |
| _version_ |
1806428235567726592 |
| score |
13.223943 |