This paper aims to explore a conceptual criteria framework for measuring tourism destination competitiveness at the regional level to fill the existing gap in literature. This study was conducted in the East Nusa Tenggara (NTT) Province of Indonesia, by developing a tailored set of criteria for measuring destination competitiveness specific for the regional backdrop through rigorous literature review and in-depth interviews with tourism experts. Moreover, a hybrid MCDM approach combining DEMATEL and Fuzzy TOPSIS techniques was employed to analyze interrelationships and importance rankings of the developed measurement criteria. This research developed a six-factor and twenty-three indicator framework deemed relevant for assessing destination competitiveness at the regional level. The six factors comprise of destination attraction, general infrastructure, superstructure, destination management, price competitiveness, and regional government policy. The DEMATEL analysis revealed regional government policy to be the most influential factor, whilst destination attraction was rendered the most important one. Results from the Fuzzy TOPSIS present the most important indicators from the framework as a natural attraction, accessibility and port infrastructure, accommodation, the image of the destination, and priority towards the tourism sector.  Findings from this research provide valuable insights in terms of proposing tourism policymakers with a blueprint of regional destination competitiveness criteria that offers critical inputs for developing medium and long-term tourism strategies.

This research aims to draw a blueprint of factors influencing tourist's choice of destination, and to identify tourism destination competitiveness in Kupang City of the Nusa Tenggara Timur (NTT) Province. Scarcity of empirical studies related to the topic and significant potential for tourism development in the context of NTT justifies a gap for the aforementioned agenda. In fulfilling the aim of study, we employed a quantitative method through an application of a hybrid multi criteria decision making (MCDM) method by combining the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Data were obtained by questionnaire spread upon visiting tourists. Results point that safety was the dominant factor influencing the destination choice of tourists, while self-esteem was found to be the least important factor. Importance of factor indicators showed that society friendliness, need for eating and drinking, a crime-free environment, and spending time with relatives or family were the 4 most important criteria. Further results regarding destination competitiveness identified Warna Oesapa Beach to be the most favorite destination, while Gua Monyet Tenau was the least favorable place. Findings of this research is contended to be beneficial in the context of understanding how do tourists perceive and prefer choosing tourism destinations offered in Kupang City. Accordingly, tourism stakeholders from the supply side are equipped with essential inputs for planning destination attributes worth developing and promoting, and specifically in regards to destination brand repositioning.

The current research focuses on the motivation and perception of tourists towards the three favorite tourist attractions in Kupang Regency, namely the tourist attractions of the Baumata Pond, Tablolong Beach and Mount Fatuleu. This study aims at determining the motivation of tourists visiting, especially to Baumata Pond, Tablolong Beach and Mount Fatuleu, as well as to identify tourists' perceptions of attractions, amenities, accessibility, and ancillary services. This type of research is a descriptive study with a quantitative approach. To support this research, primary data and secondary data were used, with data collection techniques through observation, interviews, questionnaires, documentation and literature study. The sampling technique used in this study was accidental sampling with a total sample size, (1) Baumata pond with 99 respondents, (2) Tablolong Beach with 99 respondents, (3) Mount Fatuleu with 99 respondents. The findings of this study show that the average tourist has a very high motivation, which includes physical or physiological motivation, cultural motivation, social or interpersonal motivation and fantasy motivation to travel to the three favorite tourist attractions of Kupang Regency. The average tourist also has a very good perception of the 4A components, which includes attractions, facilities, accessibility and ancillary services.

This study aims to assess several variables related tourism marketing, namely the influence of Electronic Word of Mouth (e-WOM) on the image of the destination, the influence of tourist destination image on interests, and influence of interest on visiting decisions. This study was conducted in Tablolong Beach of Kabupaten Kupang, focusing on the demography of millennial tourists. The introduction of destinations to motivate visitors is with the use of social media where the most users are millennials who are adept towards development of technology so as to connect between individuals and groups, forms of online communication or e-WOM. e-WOM is considered as one of the sources of information and images related to tourism services, where negative or positive statements are very potent in influencing the image building to foster interest in decision making afterwards is a re-visit and recommendation for others to visit. The analytical methods used in this study are descriptive analysis and multiple regression model analysis techniques. Based on the regression test, it is known that e-WOM positively affects destination image by 0.363, and destination image positively influenced the visiting interests by 0.637. Moreover, the visiting interests positively influenced the visiting decision by 0.776. Thus, it can be said that if the basis of e-WOM is good, it will likely result in good tourist destination image and higher interests to visit Tablolong Beach Attraction. Accordingly, e-WOM, the image of tourist destinations, interest in visiting and visiting decisions are interrelated.

Surprisingly, empirical research that endeavor on efficiency of hotels and its determinants are less studied, given the rapid growth and sudden turmoil surrounding the tourism industry of late. Such study is critical in terms of providing insights into mapping future plans for development. Accordingly, this research aims to analyze efficiencies of hotels concerning 34 provinces in Indonesia and the factors that influence the efficiency levels. From a time-frame of 2016 to 2020 data, we employed the innovative two-stage double bootstrap data envelopment analysis (DEA) to provide a blueprint of the accommodation sector's competitiveness. Results show that the average hotel efficiency of Indonesian provinces is low, with the most efficient provinces are DKI Jakarta,