Integrated visitor support system for tourism industry based on IoT technologies

Author(s):  
Radosław Belka ◽  
Stanisław R. Deniziak ◽  
Mirosław Płaza ◽  
Mirosław Hejduk ◽  
Paweł Pięta ◽  
...  
Author(s):  
Sunil Pratap Singh ◽  
Jitendra Sharma ◽  
Preetvanti Singh

In the last decade the use of Information and Communication Technologies (ICT) have boomed in many sectors, such as business, education, commerce and have profound implications for the tourism industry. They are being used extensively in a great variety of functions and count innumerable applications. Among these, Decision Support System (DSS) plays a fundamental role for their capacity to give tourist managing their tours and to base all the decisions concerning to queries on the climate, road conditions, cultural aspects, lodging, health facilities, banking, etc. of the location to be visited on sound and rational bases. In the present paper, a Web-Based Tourist Decision Support System (WTDSS) for Agra City has been developed that allows the traveling community to find their route in city and ask for information about sights, accommodations and other places of interest which are near by to him to improve the convenience, safety and efficiency of travel.


2021 ◽  
Author(s):  
Ily Amalina Ahmad Sabri ◽  
◽  
Noor Maizura Mohamad Noor ◽  
Noraida Haji Ali ◽  
Fathilah Ismail ◽  
...  

Information and communication technologies have deep implications for the tourism industry. This combination of devices is being used extensively in an excessive variety of functions and numerous applications. On the other hand, tourism has become an extremely dynamic system. The globalisation enabled by technological development and budget travel has greatly increased competition. Decision support systems (DSS) can play an important role within organisations and assist people who manage tourist destinations. The main intention of this research paper is to see how to apply Decision Support Systems (DSS) to the tourism industry. It aims to establish a personalised interactive travel recommender system that can be shared and integrated easily in order to work as a proof of concept for the decision to provide the tourism sector with interactive decision support systems. Specifically, the study aims to achieve the following objectives which are to evaluate and measure criteria and alternatives to performance, to analyse the ranking of criteria and alternatives and to recommend tourist attractions in terms of islands, accommodation, activities and etc. based on the travellers’ budget constraints. The evaluation module enables experts to evaluate and consider alternatives to the small islands to benchmark the islands’ performance. An analysis module will provide reports for performance of criteria and alternatives based on a “Best Non-fuzzy Performance” basis. A risk analysis model for the travel recommender system using a fuzzy set approach has been proposed and incorporated into a Fuzzy Decision Support System (FDSS). This study presents fuzzy-AHP as a proposed method to apply to decision-making with social attributes. A web-based prototype Decision Support System (DSS) has been designed and developed in order to prove the objectives.


The problems of creating methodologies and analytical models for decision support for planning and forecasting operational activities are compounded by the vast majority of tourism companies due to industry specifics and are currently not fully developed due to the current level of business planning, the traditional commitment of company management to administer and situational management, the prevalence of a retrospective approach to analysis over-promising, low quality and similar data of managerial accounting for the formation of a reliable operational "fact", as well as weak formalization and automation of the in-house process of financial and economic planning and forecasting based on information and analytical systems. The developed decision support system for marketing planning in the tourism industry and the supporting algorithm incorporates the functionality of sliding adaptive planning of daily revenue, which can significantly reduce the information gap between the strategic and operational levels of tourism company management and significantly improve the quality of the generally accepted process of budget marketing of sales. As a result, the decision support system not only takes into account the features of the typical process of corporate marketing planning but also allows you to design a system of dynamic planning and to forecast the marketing activities of a travel company with improved properties of efficiency, accuracy and adaptability.


2021 ◽  
Vol 3 (01) ◽  
pp. 13-21
Author(s):  
Rifqi Asy'ari ◽  
Rusdin Tahir ◽  
Cecep Ucu Rakhman ◽  
Ayu Khrisna Yuliawati

Tourism emphasizes the authenticity of an area with the principle of preservation and sustainable development, but technology is one factor that influences it enough to attract tourists or ease management in the tourism sector. The terminology of smart tourism appears as a direction in the support system for supporters in the tourism sector. One system in implementing smart tourism is gamification, which is still a lot of ordinary people in the system. This article examines the extent of the application of gamification in the concept of smart tourism and what things are still obstacles in the application of gamification in the tourism industry so that it can be a recommendation for further research. So that both are expected to provide an understanding of the application of gamification and the extent of realization in the concept of smart tourism. The method used in this research is a literature study. The results got by the application of gamification in smart tourism are very helpful in the tourism industry. This system provides tourism development, namely providing education, using the potential and use of technology. Gamification is a system where tourists are given more flexibility for activities and interacting with tourist areas, both visually and directly.


2005 ◽  
Author(s):  
Michael P. Manser ◽  
Nicholas J. Ward ◽  
Nobuyuki Kuge ◽  
Erwin Boer

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