Rania S. Hussein
American University in Cairo
15 Papers
49 Citations
Rania S. Hussein is an academic researcher from American University in Cairo. The author has contributed to research in topics: The Internet & Social media. The author has an hindex of 5, co-authored 14 publications. Previous affiliations of Rania S. Hussein include Cairo University.
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Papers
Customer engagement on social media: how to enhance continuation of use
Rania S. Hussein,Salah S. Hassan +1 more
TL;DR: This study provides a different way of theorizing customer engagement by incorporating new variables to TAM that are particularly relevant to the social media context and draws a link between attitude toward social media and levels of use, which has been understudied in literature.
41
•Book
The adoption of web based marketing in the Travel and tourism industry: An empirical investigation in Egypt
Rania S. Hussein
- 17 Feb 2011
TL;DR: In this article, the authors focused on how the web is being used to interact with customers and provided managerial implications in relation to the determinants of the levels of web adoption for marketing purposes by small and medium sized enterprises in Egypt.
•Posted Content
Levels of Facebook Use: Evidence from Egypt
TL;DR: In this paper, the authors explored the factors which discriminate between the use at different levels of the social media in Egypt and found that Internet experience, Internet lifestyle and satisfaction are the significant determinants of one's level of Facebook use.
5
Determinants of Customer Loyalty: Evidence from the Egyptian Mobile Market
TL;DR: In this paper, the authors explored the factors that determine customer loyalty in the telecom industry and found that perceived service quality, trust and satisfaction with the service are the significant determinants of customer loyalty.
5
Social media continuation intention: a contrarian analysis
TL;DR: In this paper, the utility of contrarian analysis in discovering antecedents of user engagement on social media is examined, where a wide range of variables and their high degree of variability lend to using using contrarian analyses.
4