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Author

Mohammad Soliman

Other affiliations: Fayoum University
Bio: Mohammad Soliman is an academic researcher from Higher College of Technology. The author has contributed to research in topics: Tourism & Hospitality. The author has an hindex of 6, co-authored 17 publications receiving 131 citations. Previous affiliations of Mohammad Soliman include Fayoum University.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors examined the influence of destination social responsibility on destination reputation, holidaymakers' perceived trust and their revisit intention, and investigated the moderation impact of fear arousal due to COVID-19 on the relations between visitors' revisit intention and its associated antecedents.
Abstract: This study aimed to examine the influence of destination social responsibility (DSR) on destination reputation, holidaymakers' perceived trust and their revisit intention. It also tested the direct paths between destination reputation, tourists' perceived trust and revisit intention. Moreover, it investigated the moderation impact of fear arousal due to COVID-19 on the relations between visitors' revisit intention and its associated antecedents. PLS-SEM was employed to analyze the data gathered from 543 domestic holidaymakers who have recently visited tourism destinations in Egypt. The findings indicated that tourists' revisit intention is positively and significantly influenced by DSR, destination reputation and their perceived trust. Additionally, DSR is positively linked to destination reputation and visitors' trust, which in turn is positively affected by destination reputation. The results also revealed that fear arousal negatively moderates the link between destination reputation, holidaymakers’ trust and their intention to revisit. Academic and managerial implications, limitations, and directions for future studies were also presented.

131 citations

Journal ArticleDOI
TL;DR: In this paper, an extended model of the theory of planned behavior (TPB) incorporating further major constructs in tourism marketing (i.e., travel motivation, eWOM, destination image) was proposed.
Abstract: This study sought to propose an extended model of the theory of planned behavior (TPB), incorporating further major constructs in tourism marketing (i.e. travel motivation, eWOM, destination image,...

83 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigate the antecedents and consequences of gamification's adoption intention by tourist organizations, and examine the mediation effect of customer engagement, using structural equation modeling for data analysis.
Abstract: Gamification has been used by tourism organisations for marketing purposes to reinforce customer engagement and to achieve brand awareness and loyalty. The current study, using the Unified Theory of Acceptance and Use of Technology, aims to investigate the antecedents and consequences of gamification's adoption intention by tourist organisations, and to examine the mediation effect of customer engagement. A quantitative method was employed using a survey to collect data from a random sample of relevant managers in travel agencies. Using structural equation modelling for data analysis, the findings revealed that tourism organisations have positive intentions to adopt gamification to increase customer engagement and to achieve tourist destinations' brand awareness and loyalty. Implications, limitations, and future research are also addressed.

62 citations

Journal ArticleDOI
TL;DR: In this article, the authors identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors' (MDs) learning, which appears as a major issue in continuous medical education and learning.
Abstract: The main goal of this article is to identify the main dimensions of a model proposal for increasing the potential of big data research in Healthcare for medical doctors’ (MDs’) learning, which appears as a major issue in continuous medical education and learning. The paper employs a systematic literature review of main scientific databases (PubMed and Google Scholar), using the VOSviewer software tool, which enables the visualization of scientific landscapes. The analysis includes a co-authorship data analysis as well as the co-occurrence of terms and keywords. The results lead to the construction of the learning model proposed, which includes four health big data key areas for MDs’ learning: 1) data transformation is related to the learning that occurs through medical systems; 2) health intelligence includes the learning regarding health innovation based on predictions and forecasting processes; 3) data leveraging regards the learning about patient information; and 4) the learning process is related to clinical decision-making, focused on disease diagnosis and methods to improve treatments. Practical models gathered from the scientific databases can boost the learning process and revolutionise the medical industry, as they store the most recent knowledge and innovative research.

23 citations


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Journal ArticleDOI

1,211 citations

BookDOI
26 Oct 2010
TL;DR: In this article, the authors provide both a theoretical structure and practical guidelines for managers to ensure that tourism contributes to the purposes of protected areas and does not undermine them, and provide an understanding of protected area tourism, and its management.
Abstract: The link between protected areas and tourism is as old as the history of protected areas. Though the relationship is complex and sometimes adversarial, tourism is always a critical component to consider in the establishment and management of protected areas. These guidelines aim to build an understanding of protected area tourism, and its management. They provide both a theoretical structure and practical guidelines for managers. The underlying aim is to ensure that tourism contributes to the purposes of protected areas and does not undermine them.

688 citations

01 Jan 2010
TL;DR: In this paper, participants are requested to register and obtain meeting badges at the registration counter, located on the ground floor, UNCC, from 08:30 hours to 09:00 hours on the event day.
Abstract: Participants are requested to register and obtain meeting badges at the registration counter, located on the ground floor, UNCC, from 08:30 hours to 09:00 hours on the event day. Participants who are not able to register during the time indicated above are requested to do so upon their arrival at UNCC before going to the conference room. Only the names of duly registered participants will be included in the list of participants.

522 citations

01 Nov 2000
TL;DR: This study introduces playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance and extends and empirically validate the Technology Acceptance Model (TAM) for the WWW context.
Abstract: Ease of use and usefulness are believed to be fundamental in determining the acceptance and use of various, corporate ITs. These beliefs, however, may not explain the user’s behavior toward newly emerging ITs, such as the World-Wide-Web (WWW). In this study, we introduce playfulness as a new factor that reflects the user’s intrinsic belief in WWW acceptance. Using it as an intrinsic motivation factor, we extend and empirically validate the Technology Acceptance Model (TAM) for the WWW context. # 2001 Elsevier Science B.V. All rights reserved.

360 citations