University of Twente Student Theses


A Smart Tourism Platform Reference Architecture for Developing Countries

Apriyandi, Dimas (2024) A Smart Tourism Platform Reference Architecture for Developing Countries.

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Abstract:The tourism industry holds significant importance in fostering economic growth and development. In the year 2019, it made a substantial contribution, amounting to 10.4 percent of the global Gross Domestic Product (GDP). However, the tourism industry has experienced significant impacts due to the COVID-19 pandemic, as measures aimed at mitigating the spread of the virus have had direct implications on tourism and travel. Historical records indicate that the tourism sector consistently encounters difficulties from uncertainties and crises, often resulting in prolonged recovery periods. There are several rising initiatives to tackle the problem, including smart technologies. Nevertheless, a concrete and feasible roadmap for realizing smart tourism development is presently absent. Based on the study, there is a correlation between smart tourism and tackling the problem of complexity and uncertainty within the industry. Specifically, developing countries face distinct challenges compared to developed ones because they have lower resources, more precarious social and cultural environments, and are usually more affected by external factors, all of which influence their competitiveness as tourist destinations. Therefore, a twofold approach is proposed to confirm the anticipated advantages this reference architecture could offer to stakeholders. ArchiMate, as a mature modeling language that has gained a reputation in the academic field has been utilized in this research through several viewpoints, such as application usage and marketing business cooperation. Furthermore, LeanIX is a widely known industry expert as a software system to manage the enterprise architecture in daily operations. Therefore, the combination of academic and practical ways of seeing the problem in context brings holistic way to improve smart tourism practices in the field. The solution architecture of both solutions has been presented to the experts. From the design validation session, the average score ranged from 3.8 to 4.5 and the standard deviation was smaller than 1. Finally, from the experts who come from the academic field and smart city practitioners, they generally approved that this reference architecture is able to improve smart tourism practices for developing countries that support tourism competitiveness.
Item Type:Essay (Master)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 58 process technology, 70 social sciences in general
Programme:Business Information Technology MSc (60025)
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