The Role of E-Word of Mouth in the Relationship between Online Destination Image, E-satisfaction, E-Trust & E-Service Quality for International Tourists Perception | ||
| Journal of Information Technology Management | ||
| دوره 13، Special Issue: Big Data Analytics and Management in Internet of Things، 2021، صفحه 92-110 اصل مقاله (1.04 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2021.80756 | ||
| نویسندگان | ||
| Faisal A. al-Bourini1؛ Nader Mohammad Aljawarneh2؛ Mohammad Fathi Almaaitah3؛ Shadi Altahat4؛ Ziyad Saleh Alomari5؛ Munsif Yousef Sokiyna6 | ||
| 1Ph.D, Associate Professor Department of HR, Business College, Jadara University, Irbid, Jordan. | ||
| 2Department of Business Administration & Business College, Jadara University, Irbid, Jordan. | ||
| 3Assistant Professor, Department of HR, Business College, Jadara University, Irbid, Jordan. | ||
| 4Assistant Professor Department of Business Administration & HR, Business College, Jadara University, Irbid, Jordan. | ||
| 5Department of Business Administration, Business College, Jadara University, Irbid, Jordan. | ||
| 6PhD Candidate, Department of Management Information system, Faculty of Science & Information Technology, Cyprus International University, Nicosia, Cyprus. | ||
| چکیده | ||
| Destination Image as a development which comprises of interrelated assessments converged with general impressions and convictions dependent on data preparing from an assortment of sources after some time; little research has concentrated on picture arrangement corresponding to this kind of goal, this article explores the mediating role of Online Image on the connection between E-WOM and E-service quality, E-satisfaction, E- trust The result of Structural equation Modelling (AMOS) path analysis affirmed that estimation model fulfilled the necessity and evidence the solidness of things, builds and correlation. All the four conditions for estimation model was met: things stacking above 0.7; unwavering composite quality (CR) above 0.7; Average Variance Extraction (AVE) above 0.5. The scholastics and industry will profit by the usage of this examination. Likewise, the tourist industry division can draw from these outcomes as references and proposals inside the impediments of the study. Future research headings were proposed to deal with the restrictions. | ||
| کلیدواژهها | ||
| E-Word of Mouth؛ E-Trust & E-Service Quality؛ Online Destination Image | ||
| مراجع | ||
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آمار تعداد مشاهده مقاله: 4,136 تعداد دریافت فایل اصل مقاله: 3,588 |
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