Technology-Driven Smart Support System for Tourist Destination Management Organizations

Author(s):  
Leo Mrsic ◽  
Gorazd Surla ◽  
Mislav Balkovic
2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Usha Arora ◽  
Deepti Dabas Hazarika

Economies all over the world are moving towards a focus on services. Tourism has emerged as a major contributor to economies all over the world. This is why specific focus is being placed on tourism, as Destination Management Organizations (DMOs) concentrate their efforts on tourism. India has been one of the countries where the share of tourism in national income has steadily been increasing. As the national capital, the city of Delhi has a major role to play in the tourist inflow to the country, as well as within the country. Successful tourism marketing requires that the concepts of tourist destination and underlying factors are comprehended in detail. An analysis of the available, pertinent literature on the area shows the manner in which numerous factors come together to form the image of a tourist destination. In fact, it needs to be understood that image formation may be done differently for different consumers. This further necessitates a detailed study of the factors influencing tourist destination image.


Author(s):  
Putu Indah Ciptayani ◽  
N G A P H Saptarini ◽  
Putri Alit Widyastuti Santiary ◽  
I Nyoman Gede Arya Astawa

2020 ◽  
Vol 12 (23) ◽  
pp. 10201
Author(s):  
Diana Foris ◽  
Adriana Florescu ◽  
Tiberiu Foris ◽  
Sorin Barabas

Destination management organizations have a key role to play in the governance of tourism destinations, in managing destination networks and in ensuring good cooperation between stakeholders. Although, destination management organizations (DMOs) are atypical organizations, their operations are evaluated according to their organizational efficiency and effectiveness. This study aims to propose a framework to improve the management of the tourist destination through an innovative approach that interconnects strategic management and Lean techniques to increase efficiency and productivity in operational processes, organizational efficiency and effectiveness at the DMO level. The framework developed in this study interconnects the analysis of the internal environment through the Value Chain and the Lean Six Sigma methods identified to be suitable for application in the management of the tourist destination. Testing of the practical application of this framework was done for Association for the Promotion and Development of Tourism (APDT), which is the DMO that ensures the management of the tourist destination of Brasov, Romania. The research contributes to the optimization of the processes at the DMO’s level. The framework developed in this study can be implemented by practitioners to improve the management of the tourist destination. The paper also offers future research directions.


Author(s):  
Ana Ispas ◽  
Cristinel Petrisor Constantin ◽  
Adina Nicoleta Candrea

As the tourism marketplace is currently highly competitive, Destination Management Organizations (DMOs) need to have a thorough understanding of the actual perception of their destinations and even of the desired perception they should have to adequately implement measures to alter or maintain such images. In this context, the present chapter provides an overview of tourist destination image evaluation, from both a theoretical and empirical perspective. It outlines the role of conducting research in order to evaluate destination image as key strategic information which has to be provided to DMOs. The chapter provides a theoretical framework to destination image evaluation as well as a case study on the evaluation of a Romanian city's image as a tourist destination.


Author(s):  
Ana Ispas ◽  
Cristinel Petrisor Constantin ◽  
Adina Nicoleta Candrea

As the tourism marketplace is currently highly competitive, Destination Management Organizations (DMOs) need to have a thorough understanding of the actual perception of their destinations and even of the desired perception they should have to adequately implement measures to alter or maintain such images. In this context, the present chapter provides an overview of tourist destination image evaluation, from both a theoretical and empirical perspective. It outlines the role of conducting research in order to evaluate destination image as key strategic information which has to be provided to DMOs. The chapter provides a theoretical framework to destination image evaluation as well as a case study on the evaluation of a Romanian city's image as a tourist destination.


2021 ◽  
Vol 7 (1) ◽  
pp. 43
Author(s):  
Ratih Kartika Dewi ◽  
Eriq Muhammad Adams Jonemaro ◽  
Agi Putra Kharisma ◽  
Najla Alia Farah ◽  
Mury Fajar Dewantoro

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used for alternative design in a decision support system (DSS). TOPSIS provides recommendation so that users can get information that support their decision, for example a tourist wants to visit a tourist destination in Malang, then TOPSIS provides recommendations of tourist destinations in the form of ranking recommendation, with the highest rank is the most recommended recommendation. TOPSIS-based Mobile Decision Support System (DSS) has relatively low algorithm complexity. However, there are some cases that require development from personal DSS to group DSS, for example tourists rarely come alone, in which case most of them invite friends or family. For users who are more than 1 person, the TOPSIS algorithm can be combined with the BORDA algorithm. This study explains about the implementation & testing of TOPSIS and TOPSIS-BORDA as algorithms for personal and group DSS in mobile-based tourism recommendation system in Malang. Correlation testing was conducted to test the effectiveness of TOPSIS in mobile-based recommendation system. In previous study, correlation testing for personal DSS showed that there was a relationship between the recommendation and user choice, with correlation value of 0.770769231. In this study, correlation testing for group DSS showed there is a positive correlation of 0.88 between the recommendations of the group produced by TOPSIS-BORDA and personal recommendations for each user produced by TOPSIS.


Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Ismi Yuniati ◽  
Anton Setiawan Honggowibowo ◽  
Yuliani Indrianingsih

Tourist attraction in Indonesia is one of the natural resources to be proud. That we need an alternative build Decision Support System Application. This application shows can assist determine the potential tourist travel destination, make memorable and accordance with the characteristics potential tourists addition this application saves the time and effort find a tourist destination because it can be accessed anywhere. The final result steps by steps, the best obtained from two respondents are Afriani 105 for the city o f Yogyakarta and Damar 84 for the city o f Sukabumi. Based on these results, system is able to determine built the city as desired tourist destination and tourist characteristics.


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