Destination Competitiveness Research Articles

Tourism destination competitiveness: An application model for Serbia

Tourism destination competitiveness: An application model for Serbia

Pengukuran Daya Saing Kampung Wisata di Kota Bandung

The success of a tourist destination in the world market cannot be separated from the influence of its competitiveness. The competitiveness of tourist destinations is an area that attracts the attention of tourism researchers. Tourism competitiveness has tremendous consequences for the tourism industry and is therefore of great interest to practitioners and policy makers. The approach to the competitiveness of tourist destinations has so far focused on the image or attractiveness of tourist destinations concentrating on attributes that are considered to attract visitors, such as climate, scenery and accommodation. There are various indicators used to measure the competitiveness index of tourist destinations, including those from the World Travel and Tourism Council (WWTC), which include the Human Tourism Indicator, Price Competitiveness Indicator, Infrastructure Development Indicator, Environment Indicator, Technology Advancement Indicator, Human Resources Indicator, Openness Indicator, Social Development Indicators. In general, these indicators are relatively general and not local specific in exploring the conditions and circumstances of a tourist attraction, even though this aspect is directly related to the conditions of a destination/tourist attraction. The aim of this research is to assess destination performance using indicators in the aspects of attractions/tourism objects, infrastructure, access, and services/management. In this study, data came from 50 tourists (n=50). The analysis used is the Importance-Performance Analysis (IPA) Model to create a ranking of various attributes of Tourism Villages which concerns 4 aspects, namely tourist attractions, facilities (amenities), access/affordability (access), and services. additional (ancillary), by analyzing which attributes have a level of correspondence between the level of importance and the level of performance. Based on the results of the analysis, the main indicators that must be improved are additional services, and attractions are still felt to not meet respondents' expectations. The management of Braga Tourism Village needs to improve the quality of its services, especially related to information services and cleaning staff, while the quality of services which are considered to be good needs to be maintained in order to provide comfort for visitors. The results obtained from Importance Performance Analysis (IPA) will be used to determine the right strategy to improve the company's performance.

Toward an improved, holistic understanding of ‘meaningful destination’

ABSTRACT This conceptual paper has two primary aims – to provide a definition and a holistic conceptual framework for a ‘meaningful destination’. This study draws upon foundational literature that explores different ways to interpret meaningfulness, the processes of meaning-making, and how individuals and institutions perceive destinations as meaningful. It incorporates insights from diverse fields, including positive psychology, existential philosophy, consumer experience and place branding, to establish a conceptual framework. Six essential elements or dimensions of meaningful destination are presented, drawn from both an individual perspective (tourists, residents, and tourism employees) and an institutional perspective (DMOs and tourism businesses). These dimensions encompass (a) Ethno-cultural (b) Ecological (c) Eudaimonia and spiritual (d) Economic (e) Equity of destination brand and (f) Ethical governance dimensions. The first three dimensions hold significant importance for individuals as they contribute to the formation of meaningful relationships and engagements with self, others, and the environmental settings. In contrast, the final three dimensions hold importance for tourism institutions as DMOs and tourism businesses, reflecting their roles and objectives and guiding their efforts in resource allocation, destination competitiveness, policy development, and business management. The paper concludes with future research trajectories and suggests pressing research agendas in relation to meaningful destinations.

Developing industry clusters based on 4As to support agritourism competitiveness

Abstract Competitive agritourism thrives on the pillars of the Attraction, Accessibility, Ancillary, and Amenity (4As), serving as fundamental cornerstones in tourism industry. Nonetheless, most agritourism continue to be entrenched in conventional management practices, exposing them to prevalent agricultural risks. Elevating this landscape necessitates a transformative approach. This article aims to analyze the linkages between the 4As and industry clusters in driving sustainable agritourism. The methodology used in this study is a literature review. Industry clusters in agritourism are important due to their ability to utilize shared inputs, optimize business processes through integration and collaboration, and develop outputs through network expansion. Cooperation, coordination, collaboration, and communication are essential for the successful development and competitiveness of agritourism. The arrangement of accommodation in a particular location encourages collaboration, resource sharing, and economies of scale. Increased accessibility improves supply chain management efficiency and reduces costs through collaboration. The availability of well-designed amenities further enhances the attractiveness and competitiveness of agritourism destinations. From the perspective of attractions, collaboration among agritourism contributes to innovation, product development, and sustainable practices. Understanding these linkages can inform strategic decision-making processes and guide the development of policies that leverage the strengths of the 4As to promote sustainable agritourism development.

The Impact of Tourism Policies on the Competitiveness of Tourist Destinations

The tourism sector, as an integral component of the global economy, not only directly propels the economic growth of numerous countries and regions but also fosters cultural exchange and environmental preservation indirectly. On a global scale, the formulation and implementation of tourism policies have become pivotal factors in enhancing the competitiveness of tourist destinations. These policies not only effectively promote infrastructure development and the refinement of tourism products and services but also exert profound influences on environmental conservation, industry guidance, and talent cultivation. Increasingly, countries and regions recognize that scientifically formulated and balanced tourism policies represent an effective means to achieve sustainable economic growth and safeguard cultural heritage. The diversification and innovative implementation of tourism policies directly or indirectly impact the attractiveness and competitiveness of a destination, thus necessitating a comprehensive consideration of multiple factors in policy-making to achieve harmony and equilibrium.

Determinants and indicators for destination competitiveness: the case of Shiraz city, Iran

Purpose Nowadays, the tourism industry is considered the largest and most diverse industry in the world, which can play a significant role in the economic growth and development of a country as the main source of income and employment. In this regard, the purpose of this study is to focus on evaluating the competitiveness indicators of Shiraz city tourism destination based on a combined model. Design/methodology/approach For this purpose, a questionnaire with 78 questions was used to evaluate the indicators, in which a total of 1,432 tourists participated, including 927 domestic tourists and 505 international tourists. The collected data were analyzed to determine the hierarchical relationship between the indicators using equation structural modeling. Findings The research findings indicate that the most effective and influential indicators in the field of tourism competitiveness are natural and handmade resources, and the most influential factors are demand conditions and cultural and natural resources. In this hierarchy, each factor affects its previous level and influences the next level. Originality/value This study offers significant potential for uncovering credible and robust approaches to further investigate the contextualization of tourism competitiveness on both national and international scales, thereby generating valuable new insights. By conceptualizing the diverse dimensions of tourism competitiveness and delving into the variations in its impacts across multiple levels, this research not only challenges existing notions but also aids destinations in maintaining and enhancing their market position and share over time. This study offers valuable insights and practical implications for both researchers and practitioners in the field of urban tourism. It enhances the understanding of destination competitiveness, informs policy decisions, facilitates benchmarking and best practices, guides strategic decision-making and promotes sustainable tourism development.

Evaluation of top tourism destinations according to their AI development with the entropy-TOPSIS-integrated method

PurposeThis study aims to determine and evaluate the artificial intelligence (AI) development and competitiveness of the top 20 countries that receive the highest number of tourists with the entropy technique for order of preference by similarity to the ideal solution (TOPSIS)-integrated method.Design/methodology/approachThis study is based on Global AI Index data published by Tortoise Media. Based on this index, according to the World Tourism Organization (UNWTO) report, the top 20 destinations that will host the highest number of tourists in 2022 were evaluated in seven different subpillars, which are talent, infrastructure, operating environment, research, development, government strategy and commercial. These seven subpillars of the index were considered as criteria, and the top 20 tourist destinations were included in the research as decision alternatives.FindingsThe analysis results show that the three most important AI criteria are operating environment, infrastructure and government strategy. Furthermore, the first three countries with the best AI performance according to the weighted criteria were the USA, China and the UK, respectively.Practical implicationsConsidering that AI technologies will direct tourist behavior in a world where technology is rapidly developing, it is recommended that the countries that receive the highest number of tourists improve their AI performance.Originality/valueWhen the relevant literature is examined, there is a limited number of studies examining the AI development and competitiveness of the top tourist destinations and weighting the Global AI Index values. Therefore, this study contributes to the gap in the relevant literature.

Innovation as a driver of business tourism competitiveness

Purpose The purpose of this study involves analysing the factors of and barriers to innovation and their respective impacts (directly and indirectly) on the competitiveness of both destination and their host companies. Design/methodology/approach Based on primary data collected by questionnaire from a sample of 119 companies operating in the tourism sector in the autonomous region of Madeira (Portugal), the authors applied a quantitative methodology with recourse to econometric models and multiple linear regression. Findings Comprehensive results based on a conceptual model are obtained through the analysis of competitiveness tourism-based and innovation factors. The study identifies and empirically tests the existing and underlying relationships between innovation (factors and barriers) as the means of leveraging the competitiveness of destinations and their companies. Originality/value The results hold important theoretical and practical implications contributing towards innovation for competitiveness and filling a shortcoming identified in the literature.

Multicriteria Decision for Selecting Tourist Destinations and Increase Its Competitiveness

The competitiveness of a tourist destination is related to its capacity to present products and services better than others, providing tourist experiences that meet the preferences of those who demand them. However, how tourists decide which destination to visit is a question that needs to be answered to support all destination stakeholders, and this is the aim of this research. This paper uses the Multi-Criteria Decision-Making approach to prioritise the types of tourism. The method applied is the Analytic Hierarchy Process, and the results showed the greater importance of the criteria of rest/simplicity and cultural difference. As for the tourist destinations, the most relevant in order of priority were Cruise tourism followed by Art/culture tourism, showing that these two types of tourism must be combined in a co-competition.

Exploration Of Subjective Norms Of Tourists In The Application Of Planned Behavior Theory To Predict The Intention To Visit Tourist Objects In Indonesia

This research aims to explore a deeper understanding of the factors that influence tourists' intentions to visit tourist attractions in Indonesia using the Planned Behavior Theory (TPB) approach. This research focuses on exploring tourists' subjective norms, which is one of the main components in the TPB, along with attitudes and behavioural control. The research method involves an online survey targeting a sample of tourists who have visited or intend to visit tourist attractions in Indonesia. The research instrument consists of structured questions designed to measure critical variables in the TPB, with particular emphasis on subjective norms. Data analysis used descriptive and inferential statistical techniques to identify relationships between key variables. The research findings are expected to significantly contribute to understanding the factors that influence tourists' visiting intentions, as well as their implications for developing marketing strategies and managing tourist attractions in Indonesia. It is hoped that the results of this research can become a reference for tourism industry stakeholders, government and researchers in consumer behaviour and tourism to improve the management and development of tourist attractions in Indonesia to increase the attractiveness and competitiveness of tourist destinations globally.

Assessing Passenger Satisfaction with Smart Airport Technologies: An Empirical Study

Airports serve as crucial components within the air transport value chain, necessitating continual adaptation to meet evolving technological demands and enhance passenger experiences. The evolution towards Smart Airports or Airport 3.0 underscores the imperative for modernization to facilitate safe, efficient, and seamless travel experiences, particularly pertinent amidst the challenges posed by events like the COVID-19 pandemic. This study delves into the concept of Smart Airports, focusing on passenger perceptions of technology and its role in shaping competitiveness within the tourism sector. Through an analysis of passenger perceptions and expectations, this research aims to provide a clearer understanding of the Smart Airport concept, considering gender perspectives, which represent a novel contribution to existing literature. Recognizing the pivotal role of air transport infrastructures in destination competitiveness, this study investigates the impact of technology improvements on passenger satisfaction and overall travel experience. By examining the relationship between airport technologies and passenger perceptions, satisfaction, and enjoyment, this research underscores the importance of integrating new technologies to enhance airport services and meet evolving passenger needs. The study further explores the potential of ICT in reducing travel time and enhancing overall passenger experiences, with a particular emphasis on understanding gender-specific influences on perceptions of airport technologies. Through a comprehensive analysis, this paper seeks to contribute to the ongoing discourse on Smart Airports and their significance in shaping the future of air travel.

Relationship between competitiveness of destinations and tourism specialization: An analysis in the digital age

<p>Currently, within the tourism market, there is a significant number of destinations that offer the same product, especially in the sun and beach market, so the search for competitiveness must be the objective that allows increasing the arrival of tourists to a destination, becoming one of the main pillars on which tourism policies are based. In this context, this paper aims is to ascertain whether there exists a causal relationship between tourism competitiveness and the influx of tourists to destinations. To achieve this, the Granger causality test is utilized, employing the econometric adaptation conducted by Dumitrescu and Hurlin, utilizing a sample of 18 Mediterranean countries spanning from 2007 to 2019. From the analysis carried out, it is highlighted that there is no causal relationship from tourism competitiveness to the number of tourists received, which is an important finding in the countries of the Mediterranean coast, since tourists do not value competitiveness in these destinations.<strong></strong></p>

Реализация программ активного туризма как драйвер развития регионального рынка туристских услуг

Increasing interest in healthy lifestyle and active recreation is a new trend of consumer preferences. There has been a significant increase in income from the sale of active tours in Russian regions. Their popularity has increased significantly in recent years. The purpose of the study was to analyze the practice and problems of implementing active tourism programs in Orel region, and to substantiate the importance and significance of popularization and implementation of active tourism programs for the development of regional tourism market. Methods of analysis and synthesis, comparison, comparison, and review evaluation were used in the study. The article provides an overview of interpretations of the concept of active tourism given by the authors of scientific works, and its social significance and development priority are indicated in connection with the instruction of the President of the Russian Federation V.V. Putin, given to the Cabinet of Ministers: to consider a set of measures for the development of active tourism. The results of the review of organizing active tourism practice in Orel region are presented, and its types and organization system model in the region are indicated. It is proved that active tourism plays a significant role in formation of the tourist flow in the region, since the projects that attract federal funding to the region are being implemented in this area. A number of initiatives of Orel entrepreneurs received grant support from the Government of the Russian Federation. At the same time, active tourism has not received due attention so far. The main problems of the development of active tourism in Orel region are identified and outlined. The conclusion is made about the insufficient use of active tourism potential. So it is necessary to adjust and detail the Program of domestic tourism development in Orel region. Entities engaged in tourism activities in the region and organizations planning investments in tourism industry should receive a clear instruction concerning the priority of active tourism development in the region. This motivates them to focus their efforts on tourist products formation in demand in the region, expand the range of offers in the sector of active tourism, and accordingly initiates the development of regional tourism market. Development of active tourism will significantly increase competitiveness of tourist destination.

An assessment of tourism competitiveness: A comparative analysis of Georgia and neighboring countries

Competitiveness is extensively explored across various disciplines, with tourism competitiveness emerging as a significant focus of research. This aspect is pivotal in current research, embodying a multi-dimensional construct that profoundly impacts the prosperity of destinations. This study has undertaken a systematic literature review to pinpoint indicators influencing destination competitiveness and conducted a statistical analysis to validate these findings. Centered on Georgia and contrasted with its neighboring countries, the analysis spans 12 years, from 2008 to 2020. The study's significance extends beyond its specific focus on Georgia, offering insights with broader relevance to destinations marked by competitive dynamics. The analysis has revealed that within a diverse array of opportunities, the most impactful areas for enhancing Georgia's competitive environment include "Business environment," "Human resources and labor market," and "ICT readiness."

Destination competitiveness research over the past three decades: a computational literature review using topic modelling

ABSTRACT The aim of this study is to comprehensively review the topics and themes studied in destination competitiveness research and to enrich tourism researchers’ literature review toolbox with the computational literature review technique. A novel computational literature review framework that can be applied to review tourism research domains characterised by an abundance of literature is developed. Enabled by the developed computational literature review framework with topic modelling, this study offers a comprehensive review of 1,130 destination competitiveness studies. The results identified several promising research topics, themes and theoretical perspectives that can be perused in future destination competitiveness studies.

Tourism Destination Competitiveness Ranking and Tourism Performance

This research note compares the impacts of the macroeconomic condition on the relationship between tourism destination competitiveness (TDC) ranking and tourism performance. This study utilized the cross-country analysis of the World Economic Forum (WEF) Travel and Tourism Competitiveness Index (TTCI) data among 115 countries. Macroeconomic conditions are conceptualized in high-income versus low-income nations, while the WEF TTCI ranking explains the TDC ranking. The Partial-least square-structural equation modelling (PLS-SEM) Multi-Group Analysis (MGA) results showed that TTCI ranking significantly influenced the low-income group’s tourism performance only but not for the developed ones. The results confirm the criticism of the TTCI ranking bias, reflecting the unbalanced competitiveness assessment distribution between advanced and low-income countries. The study findings augment the incomparability among countries on different levels of development and the arbitrary weighting of the TTCI ranking report, which may lead to inaccurate perceptions of the country and incorrect investment decisions.

Developing a weighted model to measure knowledge diffusion in a tourism destination network

ABSTRACT Efficient knowledge transfer enhances tourism destination competitiveness. Multiple factors, however, affect knowledge transfer, making it a complex process to quantify. To address this complexity, we developed a quantitative tool by integrating a diffusion model with the major antecedents of knowledge transfer identified in the knowledge management literature. We applied this model in the Western Australian tourism industry and demonstrated its practicality. The proposed model provides a quantitative tool for destination management organizations to monitor, assess and improve the efficiency of knowledge diffusion within their tourism destinations. Such improved knowledge diffusion is critical in strengthening a destination's innovative capabilities and competitiveness.

PHIC DESIGN CONNOTATIONS IN ENVIRONMENTAL AWARENESS CAMPAIGNS FOR SUSTAINABLE TOURISM

This study aims to explore the benefit of graphic design in awareness campaigns promoting sustainable tourist destinations and to determine its contribution to the success of campaigns in terms of increasing the protection of natural and economic resources of the destination. The study applies semiotics to the field of social marketing to build a conceptual model that links graphic design of a campaign with public environmental awareness and destination preservation. The aim is to preserve the natural environment and pastoral activities, and that the semiotics of graphic design affects public environmental awareness. This innovative framework for graphic design can be adapted to marketing campaigns or other brands to improve the images of destinations. Tourism activities are closely linked to the environment. It is important to increase awareness among tourists, local residents, and stakeholders about the importance of adopting sustainable practices to ensure the sustainability of the tourism industry and the preservation of local resources. This is crucial in enhancing the reputation and competitiveness of tourist destinations. The increasing demand for new tourist experiences has led to the popularity of natural areas as tourist destinations, offering unique and authentic experiences for visitors seeking to escape their daily routine. The research consists of three chapters. The first chapter addresses the research methodology, which is the study of the effectiveness of these indicators in this context and how to improve them to support environmental awareness campaigns for sustainable

Faktor Yang Mempengaruhi Pengambilan Keputusan Wisatawan Untuk Berkunjung Ke Wisata Halal

Research aim: This research aims to study the factors that influence halal tourist visits. Design/Methode/Approach: This research uses a quantitative approach with data analysis techniques, namely structural equation modeling. Research Finding: Travel motivation, accommodation, ease of obtaining halal food and drinks, tourist attractions, destination image, sharia tourist guides, promotions, facilities, religiosity, accessibility, and safety have a significant influence on tourists' decision-making, while knowledge and electronic word of mouth do not have a significant influence on decision making. tourists' decision to visit halal tourism. Theoretical contribution/Originality: The study provides valuable insights into the dynamics of this emerging sector. It highlights the significance of factors such as religiosity, accessibility, and security in influencing tourist decisions within the halal tourism domain, thus adding to the body of knowledge concerning the behavior of Muslim travelers and the development of halal-friendly destinations. Practitioner/Policy implication: The study provides actionable insights for improving destination competitiveness, enhancing visitor experiences, and strategic marketing of halal tourism products and services. Research limitation: The research focuses on halal tourism in Kampung Daun and Eco Sunnah.

Exploring Tourists’ Behavioral Patterns in Bali’s Top-Rated Destinations: Perception and Mobility

The tourism sector plays a crucial role in the global economy, encompassing both physical infrastructure and cultural engagement. Indonesia has a wide range of attractions and has experienced remarkable growth, with Bali as a notable example of this. With the rapid advancements in technology, travelers now have the freedom to explore independently, while online travel agencies (OTAs) serve as important resources. Reviews from tourists significantly impact the service quality and perception of destinations, and text mining is a valuable tool for extracting insights from unstructured review data. This research integrates multiclass text classification and a network analysis to uncover tourists’ behavioral patterns through their perceptions and movement. This study innovates beyond conventional sentiment and cognitive image analysis to the tourists’ perceptions of cognitive dimensions and explores the sentiment correlation between different cognitive dimensions. We find that destinations generally receive positive feedback, with 80.36% positive reviews, with natural attractions being the most positive aspect while infrastructure is the least positive aspect. We highlight that qualitative experiences do not always align with quantitative cost-effectiveness evaluations. Through a network analysis, we identify patterns in tourist mobility, highlighting three clusters of attractions that cater to diverse preferences. This research underscores the need for tourism destinations to strategically adapt to tourists’ varied expectations, enhancing their appeal and aligning their services with preferences to elevate destination competitiveness and increase tourist satisfaction.