Small tourism business networks and destination development

This paper is based on ongoing research into networking between small tourism businesses and its contribution to destination development. The fieldwork is being carried out in a peripheral rural location. A detailed conceptual framework comprising of a literature review, background to an ongoing study and the methodology being implemented is discussed. The review finds an increased awareness of the importance of networks in mainstream business research, however, research within small tourism businesses is still underdeveloped. Furthermore, there is little or no direct research in terms of collective tourism business networks within a destination. Destination development research is also reviewed and particular consideration given to the rural context. Destination models are discussed with the recent chaos-based theories providing new understandings. Networks are established within the destination concept. Finally, the location for the data collection is discussed with a justification of the qualitative, in-depth interview approach.     

Policy communities,networks and issue cycles in tourism destination systems

This paper demonstrates how concepts derived from policy community, policy network and issues management theories can be used to understand the roles, activities and interactions of government, corporate and pressure group stakeholders engaged in tourism policy, planning and management in destination contexts. It shows the relevance and utility of an “integrated issue lifecycle approach” to trace the evolution of tourism policy, planning and destination management within specific destination contexts. The application of this approach is demonstrated through a case analysis of the tourism policy and planning system that underpins the destination system of Byron Bay, a significant domestic and international destination on the East Coast of Australia. The underlying premise adopted for this study is that the examination of the antecedents of tourism policy and planning processes, within particular destination contexts, can lead to an understanding of the driving values and ideas that have led to contemporary tourism policy issues and problems.     

Achieving destination advocacy and destination loyalty through destination brand identification

Brand identification enhances customer loyalty and develops long-term relationships between the customer and the brand. However, only a few studies have explored the role of identification in building long-term and favorable relationships between tourists and a tourism destination. In this study, we propose and empirically verify destination personality congruence and destination trust as the drivers of destination brand identification, and destination advocacy and destination loyalty as its outcomes. For assessing these proposed relationships, a sample of 342 respondents was collected from foreign tourists visiting Dharamsala, which is a famous tourist destination among visitors in northern India. The results of structural equation modeling reveal that destination personality congruence significantly influences the destination loyalty through destination brand identification. In addition, destination trust emerges as a significant predictor for both destination advocacy and destination loyalty. The study offers important implications for both acadmecians and practitioners.     

Be water my friend: Building a liquid destination through collaborative networks

Resilient tourism organisations and destinations can adapt and prosper in changing environments. Social networking and community engagement contribute to self-organisation, a typical element of resilient systems. In this context, the present work aims at assessing the role of two of the main factors that contribute to the development of resilience in tourism organisations: their preparedness to crisis, and their participation in the destination's crisis management plans. To this end, quantitative data was collected through a survey with 72 hotel managers in Galicia, Spain, a region that is frequently afflicted by natural disasters, namely forest fires and oil spills. A logistic regression model has shown that planning to change and broadening participation increase organisations' ability to capitalise on opportunities that arise in an uncertainty situation. Therefore, in times of unpredictability, more flexible organisations are better able to adapt and transform themselves in response to internal and external changes.     

The impact of destination source credibility on destination satisfaction: The mediating effects of destination attachment and destination image

Building emotional destination attachment is a key tourism destination branding issue in today's tourism market. The current study aims to develop and test a comprehensive theoretical model for destination branding that borrows the concepts of brand credibility, brand image, brand attachment, and satisfaction. Based on the above concepts, this article hypothesizes the relationships among four constructs, namely, destination source credibility, destination image, and destination attachment as antecedents of destination satisfaction. These relationships are examined for a sample of 398 international tourists visiting a famous world heritage tourism destination (Angkor Wat) and a famous skyscraper (Taipei 101). The SEM indicates that destination source credibility and destination image could indeed affect tourist perceptions of destination satisfaction with regard to destination attachment. In addition, the mediating role of destination attachment and destination image is also confirmed in this study. The findings offer important implications for tourism management and practice.     

Advancing destination image: The destination content model

Knowledge of the mental representations that individuals hold about tourist destinations are important to understand their intentions. These mental destination representations have often been investigated by applying the concept of destination image. This study argues that the extant literature is often rather atheoretical and lacks operational rigor. These are major shortcomings which undoubtedly hinder the development of academic and managerial insights. In response, this study draws on contemporary psychology to develop the destination content model, comprising three informational components held in individuals‘ minds about destinations. The present study further outlines preferable methods and measures for each component, thus aiding researchers to investigate mental destination representations.     

Requirements for destination management organizations in destination governance: Understanding DMO success

In current conceptualizations of destination management, destination management organizations (DMOs) are required to act as network managers. Previous research claims that DMOs capable of actively fostering collaboration between destination stakeholders are key to ensuring a destination's competitiveness. Yet, empirical investigations concerning the role of DMO success in establishing the competitiveness of destinations are rare. Even less is known about determinants of DMO success. Therefore, the main objective of this study is to better understand DMO and destination success by investigating the role played by networking capability. One key insight is that the effect of networking capability works through increased DMO authority, i.e. enhanced power and acceptance of the DMO within the destination network. Besides the advances in terms of content, our research also offers a relevant methodological contribution by introducing a recently developed approach in mediation analysis, which has so far received little attention in the tourism literature.     

Tourism flows in large-scale destination systems

Large-scale destination systems, especially cross-border regions are less studied in literature as their size and transnational nature makes these hard to analyse with traditional methods. Tourism systems like the Danube Region are composed of several local and regional destinations, and even when these are branded together for tourists the integration of these into one system is often compromised by national boundaries and socio-economic differences. This study shows how the Danube region is composed of different clusters of destinations, and how national boundaries have a strong shielding effect in the interregional movements of tourists. A methodology based on network analysis with efficient clustering algorithms applied on large geotagged datasets from User Generated Content is proposed. Flickr data was used to map short time-interval visitor flows along the linear system of the river Danube. 18 regional clusters integrated into 3 strong, but separated destination systems were identified by modularity analysis. The central integrating effect of the large capital cities and the boundary-shielding effect impeding the total integration of this large-scale system were made measurable.     

Modeling reference experience in destination choice

The complexity underlying the destination decision-making of tourists has prompted abundant research from various academic disciplines. This paper proposes the integration of the leisure tourists’ past reference experience into a model for long-haul destination choice. By analyzing the preference of tourists regarding various attributes of a tourist destination, this study consolidates the concept of reference-dependent behavior in the context of tourist destination choice and introduces the concept of reference-level bias. The research findings provide theoretical and managerial implications.     

Investigating tourist destination choice: Effect of destination image from social network members

This paper aims to investigate tourist destination choice, focusing on the research question how and to what extent the destination images of tourists' social network members influence their choice behavior. To this end, data were collected using a sequential stated adaptation choice experiment, in which respondents were requested to choose a tourist destination from a single choice set twice, once before and once after being informed about the destination image of social network members. A discrete choice model was estimated to investigate tourists’ choices. The estimation results revealed that the destination image of social network members allow tourists to update their existing knowledge toward destinations, through which their choice behavior is influenced. Tourists tend to adopt their destination image of social network members no matter whether they have a prior image or not. The magnitude of this social influence depends on the properties of the social networks.     

Online tourism destination marketing in Kumasi Ghana

This study develops a conceptual research model to identify and induce local and international tourists to visit historical attractions and facilities in Kumasi the Ashanti region of Ghana. Websites provide valuable information about tourism destination marketing and tourism products to visitors and enhance tourists purchasing intentions. Data from a judgemental sampling technique were used for the research. Full time front desk employees from 36 hotels and 396 customers contributed to the study. A confirmatory factor analysis was used to evaluate the reliability and validity of the model measurements. The analytical results indicate that online destination image, online word of mouth, online security vulnerability test significant with tourists’ satisfaction as a mediator. The results also provide reliable reference for tourism administrators and researchers interested in online destination marketing and suggest that tourists perceive online security vulnerability as a menace to society and should be prevented.     

Attachment-triggered attributes and destination revisit

Destinations entering the lifecycle of maturity/stagnation typically cannot ensure economic sustainability with their traditional “transactional strategy”. Turning to the “relational strategy” that relies on loyal tourists may be a good alternative. Destination attachment is a critical concept for initiating and perpetuating revisits by loyal tourists. However, existing research has not focused on deriving attachment-triggered attributes and has failed to provide a systematic integration of different destination decision-making characteristics that are affected by the attachment level. This study identified twelve critical attachment-triggered destination attributes of Hainan based on the proposed “attachment level-based destination decision-making framework”, thereby contributing to the solution of existing theoretical and practical problems. Social network analysis was performed. The corresponding implications and limitations were discussed.     

Dual-route communication of destination websites

To understand the communication route of destination websites, this study employed the elaboration likelihood model (ELM) which is a dual-route, multi-process model of persuasive message processing. That is, this study proposed a theoretical model for the dual-route persuasive process based on ELM, investigated its antecedents and consequences, and identified the moderating effect of involvement. Structural Equation Modeling (SEM) is used to test the validity of the conceptual model. The results indicate that highly involved people are inclined to elaborate on information (central route), while people with low involvement are likely to make judgments based on simple cues (peripheral route). Website design characteristics are an important antecedent of both central and peripheral-route persuasions. Attitudes resulting from careful consideration via the central route are more predictive of conation and behavior (further information searching and travel intentions) than those formed via the peripheral route. The study provides a foundation for further tourism research investigating the Internet as a persuasive tool, and suggests strategies for website designers.     

A model of destination branding: Integrating the concepts of the branding and destination image

Despite the significance of destination branding in both academia and industry, literature on its conceptual development is limited. The current study aims to develop and test a theoretical model of destination branding, which integrates the concepts of the branding and destination image. The study suggests unique image as a new component of destination brand associations. It is proposed that the overall image of the destination (i.e., brand image) is a mediator between its brand associations (i.e., cognitive, affective, and unique image components) and tourists’ future behaviors (i.e., intentions to revisit and recommend). The results confirmed that overall image is influenced by three types of brand associations and is a critical mediator between brand associations and tourists’ future behaviors. In addition, unique image had the second largest impact on the overall image formation, following the cognitive evaluations.     

Gay tourism in a sun and beach destination

Gay tourism is seen as an attractive business opportunity for many destinations. However, there is a lack of research at identifying the resources necessary for success in this type of tourism. This work is aimed at filling this gap by using the premises of the resource based view and transfers them to the analysis of territories to identify the valuable resources that are required for a sun and beach destination to attract gay tourists. To this end, this study has focused on a gay tourism sub niche, tourists lodged in gay-exclusive resorts in Gran Canaria. In order to confirm the validity of this approach, the relationship between the satisfaction of gay tourists and the condition of the valuable resources was studied by means of a robust statistical new method, namely Bayesian model averaging. That method permits the inclusion of uncertainty in the theoretical models that determine destination competitiveness, thus reducing many of the problems that arise in the application of the more conventional statistical methods in this type of analysis.     

The effectiveness of the destination logo: Congruity effect between logo typeface and destination stereotypes

A well-designed logo can assist destination marketers in the development of destination identity and image, and yet the factors that contribute to an effective destination logo are poorly understood. Thus, this study aims to explore how typefaces influence the effectiveness of logos of destinations with differing stereotypes. By conducting four scenario-based experiments with different experimental stimuli, this study has revealed a congruity effect between logo typeface and destination stereotypes. Specifically, linking logos with handwritten typefaces with warm destinations, and machine-written typefaces with competent destinations can elicit more favorable attitudes and stronger travel intentions toward those destinations (Study 1). The results further showed that the congruity effect on tourists’ travel intentions is sequentially mediated by processing fluency and attitude (Studies 2a, 2b) and is attenuated for tourists with high needs for cognition (Study 3). This research also offers practical suggestions for destination marketers around the design of effective logos.     

Influences of destination social responsibility on the relationship quality with residents and destination economic performance

Based on extant research, this study proposes a model that integrates destination social responsibility (DSR), relationship quality with local residents (i.e. overall community satisfaction, resident trust, and resident identification), and destination economic performance. With survey data collected from a well-known ancient town in South China, this study determined that DSR could enhance the relationship quality between the destination and its residents, which could then improve economic performance in a general manner. Implications for tourism planners and destination management organizations as well as for interested researchers are presented at the end of this study.     

Tacit knowledge spillover and sustainability in destination development

This study examines tacit knowledge spillover among lodging firms within a destination and how it contributes to sustainable destination development. Longitudinal data for this study were collected primarily through in-depth interviews with lodging firms' managers and operators in a destination located in southern China. The findings suggest that tacit knowledge spillover in a region may lead to hospitality firm agglomeration. Furthermore, the eco-friendly hotel pioneers' tacit knowledge spillover may, over an extended time period, enhance the eco-friendly initiatives and operations of local hospitality firms, which may contribute to the successful development of sustainable destinations. The findings also indicate that local government's effective interventions tend to encourage and facilitate tacit knowledge spillover through establishing knowledge transfer mechanisms in the community, which is significant in the context of sustainable destination development.