Browsing by Author "Mohamed, Habiba"

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Assessing the Impact of Investor Sentiment on the G7 Stock Markets Performance
(October university for modern sciences and arts MSA, 2024) Walaa Eldin, Arwa; Mohamed, Habiba
This research aimed to investigate the impact of investor sentiment on stock market performance in G7 countries from 2005 to 2023. The investor sentiment was measured by the global indices of investors’ optimism “CCI”, and the investor fear “VIX”, while utilizing COVID-19 as a moderator and geopolitical risk measured by the GPR index as a control variable. The sample of data collected the monthly stock returns for the main indices for each of the G7 countries from January 2005 to October 2023. Overall, the research employed a fixed effect regression model “FEM” to attain its findings. The results of the models showed a significant positive impact of investor optimism on the G7 stock market returns, while a significant negative impact on VIX, even with the moderating effect of COVID-19. However, the control variable geopolitical risk was statistically insignificant, so it did not impact the G7 stock market returns statistically and COVID-19 was significant as a dummy variable. Thus, it was concluded that investor sentiment significantly impacts the G7 stock market returns.
The Impact of Tourism Destination Image on Tourist Behavior Intention through Tourist Satisfaction
(October University for Modern Sciences and Arts, 2023) Salah, Omar; Mohamed, Habiba; Ahmed, Mahmoud
The academic article titled "The Impact of Tourist Destination Image on Tourist Behavior Intention through Tourist Satisfaction" explores the relationship between the destination image of Dahab, Egypt and the behavior intentions of foreign tourists visiting the area. The study was conducted through the distribution of 119 questionnaires to foreign tourists who visited Dahab, as well as interviews with three experts in the travel sector. The research found that the destination image of Dahab had a significant impact on tourist satisfaction, which in turn influenced their behavior intentions. The study highlights the importance of destination image in shaping tourist behavior and offers insights for tourism industry professionals in developing effective marketing strategies to attract and retain tourists. A conceptual model is constructed by the researchers based on the literature review and then is tested using a qualitative and quantitative methods. Furthermore, using online questionnaires, the researchers gathered 119 responses from foreigners based on a non-probability convenience sampling technique. After that, data analysis was conducted using the Smart PLS software, and the results indicated a positive significant relationship between our hypotheses.
The Relationship between the Attributes of Social Media Influencers and Customers’ Brand Attitude in the Fashion Industry
(October University For Modern Sciences and Arts, 2022) Amr, Farida; Mohamed, Habiba; Ashraf, Hana; Sherif, Rana
The purpose of this research is to study the relationship between the attributes of fashion social media influencers and customers’ brand attitude to gain insight onto the reasons for fashion SMIs performing below average in comparison with other industries and to add onto literature studying this relationship. The authors proposed a conceptual model based on the literature review conducted and then tested using a qualitative approach through exploratory research and a quantitative approach through online surveys. The exploratory research findings indicate that the attribute trustworthiness is the most important attribute in impacting customers’ brand attitude, followed by the others. Meanwhile, results of a survey of 323 participants who follow fashion SMIs, collected using a non-probability convenience sampling technique, indicate that there is a positive moderate relationship between all attributes of fashion SMIs and customers’ brand attitude. To reach this, the SPSS software was used to analyze the data using statistical techniques including descriptive statistics, frequencies, Spearman's correlation coefficient, and Cronbach’s alpha. Finally, this research offers recommendations and implications for fashion SMIs, fashion brands, and marketing agencies to better utilize influencer marketing based on the research findings. Notably, it is recommended for fashion SMIs to include hashtags of their sponsorship in order to improve their perceived honesty, and to increase their reachability to improve their social proximity with customers. Fashion brands should hire fashion SMIs with high authentic engagement and to improve upon the 4Ps to utilize influencer marketing.