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This chapter investigates the outcome of the ongoing interactions between the Danish University College of Northern Denmark and stakeholder networks in the Italian destination Campi Flegrei. The findings of this study show that the benefits of the interactions among students, lecturers, and destination stakeholders are manifold and show that the challenge resides in strengthening the flux of knowledge sent back to destination stakeholders. Thus, the authors suggest an action- and stakeholder-oriented approach for future knowledge transfer from the educational institution to the destination stakeholders.

This research examines impacts from tourists’ destination knowledge and destination interest upon Generation Z’s recognition memory of advertisement for a new travel destination (Taiwan). The findings of this study indicated that participants with high destination knowledge are more likely to exhibit a lower level of new travel destination advertising recognition than participants with low destination knowledge, while the destination interest is low. Practical and theoretical implications of this outcome for destination marketers and tourism scholars are suggested to better understand and anticipate the processes of tourists’ learning and retaining of new travel destination information.

The purpose of this paper is to reveal those attributes of owners and managers that influence knowledge flows between owners and managers in a tourism destination network. The research question relates to whether homogeneity and/or heterogeneity attributes of the owners and managers are associated with the flow of information within a knowledge network.

Owners and managers of tourism and hospitality businesses in the Bournemouth, Poole and Christchurch conurbation were surveyed regarding their receipt of information from each other. Social network analysis (SNA) was applied to understand how job position, type of business, gender and education attributes influence the information flows within a knowledge network.

It was revealed that the ties or flows of information were influenced through the heterogeneity of the type of education attribute of a business owner or manager. Other attributes such as type of business, job position or gender were not associated with the receipt of information.

The contribution of the paper relates to increasing the understanding of an underlying attribute that influences information flows between owners and managers of tourism and hospitality businesses within a tourism destination.

The paper contributes to the understanding of a heterogeneous attribute that influences the flow of information within a tourism destination network.

This study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.

This study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.

Knowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.

This study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

The below-average innovative capacity of the tourism sector raises the question on the potentials of digital business ecosystems (DBEs) to overcome these shortages at a destination level – especially within a smart city environment. Using the example of the German Capital Berlin, this article aims to discuss both the possibilities and inhibitors of innovative knowledge-creation by building scenarios on one specific design option: the integration of digital deep learning (DL) functionalities and traditional organizational learning (OL) processes.

Using the qualitative GABEK-method, major characteristics of a DBE as resource-, platform- and innovation systems are analyzed toward their interactions with the construction of basic action models (as the basic building blocks of knowledge).

Against the background of the research findings, two scenarios are discussed for future evolution of the Berlin DBE, one building on cultural emulation as a trigger for optimized DL functionalities and one following the idea of cultural engineering supported by DL functionalities. Both scenarios focus specifically on the identified systemic inhibitors of innovative capabilities.

While this study highlights the potential of the GABEK method to analyze mental models, separation of explicit and latent models still remains challenging – so does the reconstruction of higher order mental models which require a combined take on interview techniques in the future.

The resulting scenarios innovatively combine concepts from OL theory with the concept of DBE, thus indicating possible pathways into a tourism future where the limitations of human learning capacities could be compensated through the targeted support of general artificial intelligence (AI).

This study aims to unveil the pivotal components and implementation pathways in the digital innovation of smart tourism destinations, while constructing a theoretical framework from a holistic perspective.

The research focuses on 31 significant urban smart tourism destinations in China. Secondary data was collected through manual search supplemented by big data scraping, whereas primary data was obtained from interviews with municipal tourism authorities. Grounded theory was used to theoretically construct the phenomenon of digital innovation in smart tourism destinations.

This research has formulated a data-driven knowledge framework for digital innovation in smart tourism destinations. Core components include digital organizational innovation, smart data platforms, multi-stakeholder digital collaborative ecosystem and smart tourism scenario systems. Destinations can achieve smart tourism scene innovation through closed innovation driven by smart data platforms or open innovation propelled by a multi-stakeholder digital collaborative ecosystem.

Based on insights from digital innovation practices, this study proposes a series of concrete recommendations aimed at assisting Destination Management Organizations in formulating and implementing more effective digital innovation strategies to enhance the sustainable digital competitiveness of destinations.

This study advances smart tourism destination innovation research from localized thinking to systemic thinking; extends digital innovation theory into the realm of smart tourism destination innovation; repositions the significance of knowledge in smart tourism destination innovation; and constructs a comprehensive framework for digital innovation in smart tourism destinations.

本研究致力于揭示智能旅游目的地数字创新中的核心组件及实施路径, 并创建一个整体视角下的理论框架。

研究选定中国31座重要城市型智能旅游目的地为研究对象。通过人工检索结合大数据抓取的方式收集二手资料, 以各市旅游主管部门为访谈对象收集一手资料。运用扎根理论对智能旅游目的地的数字创新现象进行理论构建。

本研究构建了一个数据型知识驱动的智能旅游目的地数字创新框架。其中, 核心组件包括数字组织创新、智慧数据平台、多主体数字协同生态和智慧旅游场景体系。目的地可通过智慧数据平台驱动的内生型创新或多主体数字协同生态推动的开放式创新, 实现智能旅游场景创新。

本研究将智能旅游目的地创新相关研究由局部思考推向系统思考; 将数字创新理论扩展到智能旅游目的地创新的研究中; 重新定位知识在智能旅游目的地创新中的重要地位; 以及构建了一个智能旅游目的地数字创新整体框架。

本研究基于数字创新实践洞察, 提出了一系列具体建议。旨在帮助目的地管理组织更有效地制定和实施数字创新策略, 以增强旅游目的地可持竞争力。

La investigación se centra en 31 destacados destinos turísticos urbanos inteligentes de China. Los datos secundarios se recopilaron mediante una búsqueda manual complementada con técnicas de big data, mientras que los datos primarios se obtuvieron a partir de entrevistas con las autoridades turísticas municipales. Se empleó la teoría fundamentada para construir teóricamente el fenómeno de la innovación digital en los destinos turísticos inteligentes.

Esta investigación tiene como objetivo identificar los componentes esenciales y las rutas de implementación de la innovación digital en destinos turísticos inteligentes, y construir un marco teórico desde una perspectiva holística.

Este estudio ha desarrollado un marco de conocimiento basado en datos para la innovación digital en destinos turísticos inteligentes. Los componentes centrales incluyen la innovación organizativa digital, la plataforma de datos inteligentes, el ecosistema digital colaborativo de múltiples actores y el sistema de escenarios turísticos inteligentes. Además, tanto la innovación endógena impulsada por la plataforma de datos inteligentes como la innovación abierta impulsada por el ecosistema digital colaborativo de múltiples actores contribuyen a la innovación por escenarios en destinos turísticos inteligentes.

A partir de las prácticas de innovación digital, este estudio ofrece una serie de recomendaciones dirigidas a las Organizaciones de Gestión de Destinos (DMOs) para la formulación e implementación de estrategias de innovación digital de manera más efectiva, y mejorar la competitividad digital sostenible de los destinos turísticos.

Este estudio avanza la investigación sobre innovación en destinos turísticos inteligentes desde el pensamiento localizado hasta el pensamiento sistémico; extiende la teoría de la innovación digital al ámbito de la innovación en destinos turísticos inteligentes; reposiciona la importancia del conocimiento en la innovación de destinos turísticos inteligentes; y construye un marco integral para la innovación digital en destinos turísticos inteligentes.

This paper aims to demonstrate how customer knowledge management (CKM) can assist destination management organizations (DMOs) in the smart management of the tourist experience to contribute to the creation of smart solutions and the promotion of smart tourism destinations (STDs). To accomplish it, a CKM conceptual framework aligned with smart tourism and composed of eight processes is developed to guide managers in this management.

This research adopts the design science research methodology and applies its steps. It was supported by a systematic integrative literature review on CKM models and frameworks and their main elements, as well as by semi-structured interviews with tourism specialists in the context of Santa Catarina, Brazil.

From the literature it appears that tourist experiences are customer knowledge essential to the improvement and innovation of tourism products and services, and that CKM, still little explored in this scenario, tends to contribute to the management of this crucial knowledge for smart tourism. The analyses and improvements to the structure developed by specialists show its applicability and contributions to the management of STD experiences.

This paper offers an original contribution to the integration of the theoretical constructs of CKM, tourist experience and STDs by showing how the CKM, from tourism experiences, technologies and social networks, can assist DMOs in the management of experiences and promotion of STDs.

The intangible nature of tourism means that variables such as destination image (DIM) or intention to recommend (IR) are crucial for tourists, as they are reliable sources of information. However, since these are dynamic variables, they have been affected by Covid-19 and need to be updated. Based on the above, the purpose of this study is to examine how the unlearning (UL) process helps tourists to become aware of the new situation, relinquish old habits and relearn, thus, influencing DIM and the IR destinations. Furthermore, the relationship between DIM and IR is analysed.

To analyse the proposed model, an empirical analysis was carried out through an online survey obtaining a valid sample of 457 Spanish domestic travellers. The data were analysed using partial least square structural equation modelling (PLS-SEM).

Results show a positive effect between the UL outcomes and IR a destination, as well as a mediator effect of DIM on this relationship.

To the best of the authors’ knowledge, this study analyses for the first time UL in the tourism sector as an individual process carried out by tourists and shows how it influences their decision-making process.

La naturaleza intangible del turismo hace que variables como la imagen del destino o la intención de recomendarlo sean decisivas para los turistas, al considerarlas fuentes de información fiables. Dado su carácter dinámico, estas variables se han visto afectadas por la pandemia del Covid-19 y necesitan ser actualizadas. En base a lo anterior, el objetivo de este estudio es analizar cómo el proceso de desaprendizaje ayuda a los turistas a ser conscientes de la nueva situación, a abandonar los viejos hábitos y a reaprender, influyendo así en la imagen del destino y en la intención de recomendarlos. Asimismo, se analiza la relación entre la imagen del destino y la intención de recomendarlo.

Para analizar el modelo propuesto se llevó a cabo un estudio empírico basado en una encuesta online, obteniendo una muestra válida de 457 viajeros nacionales españoles. Los datos se han analizado mediante PLS-SEM.

Los resultados del estudio muestran un efecto positivo entre los resultados del desaprendizaje y la intención de recomendar destinos, así como un efecto mediador de la imagen de destino en esta relación.

Este estudio analiza por primera vez el desaprendizaje en el sector turístico como un proceso individual llevado a cabo por turistas y muestra cómo influye en el proceso de toma de decisiones de estos.

The purpose of this paper is to examine the factors of environmental attitude, motivation, destination image, word-of-mouth, and perceived service quality to predict the tourists’ intention to select sustainable tourist destination. It also aims to investigate the moderating effect of knowledge on the relationship between environmental attitude and the tourists’ intention to select sustainable tourist destination.

Using survey design, 300 self-administrated questionnaires (both online/hard copy) were distributed to both local and international tourists at different tourism locations in Penang state in Malaysia. A total of 161 questionnaires were returned and analysed by using SPSS and smart PLS software.

The findings found that environmental attitude, motivation, and word-of-mouth significantly influenced the tourists’ intention to select sustainable tourism destination, while destination image and perceived service quality have not a significant influence in this study. Furthermore, this study proved that knowledge negatively moderates the positive effect of the environmental attitude on tourists’ intention to select sustainable tourism destination.

The findings offer important managerial implications for managers of tourism destinations and decision makers in understanding what motivates influence tourists’ intention in selecting sustainable tourism destination. The research scope was limited to convenient sampling and one city (Penang). Thus, the results could not be generalised to all Malaysia or other countries.

This research contributes to extending knowledge in sustainable tourism destination in the context of emerging markets, especially Malaysia. Moreover, this study found a way to examine the relationship between the environmental attitude and tourists’ intention to select sustainable tourism destination.

The purpose of this paper is to examine the information flows, in terms of content and process, underpinning the sharing of knowledge by managers and owners. Such an examination reveals similarities and differences that will influence the generation and dissemination of knowledge used in tourism business operations and contribute to innovation.

This paper examines information flows within the theoretical and methodological framework of social network analysis. The findings were derived from a quantitative study of tourism managers and owners of a tourism hub in South-West England.

The main finding was that network structure characteristics determine the flow of information within owners’ and managers’ social networks. The owners of smaller businesses received information from several sources and, therefore, had fewer structural constraints and reported larger structural holes. In comparison, the managers had more brokerage opportunities to disseminate the information within their social networks.

This paper highlights knowledge sharing between tourism business managers and owners in an open network structure. First, an open network structure builds innovation through the provision of nonredundant information. This is determined through the effective size of structural holes and the dissemination of information through brokerage roles. Second, the knowledge capability of a destination is built up through the social networking of managers and owners. The generation and dissemination of knowledge in a tourism destination are facilitated by the social networking activities of managers and owners.

Managers and owners of tourism businesses require knowledge through information to assist with innovative business practices. The practical implication of this is that the social networks of managers and owners have different network characteristics, and that these differences result in consequences for the innovation of business practices. Another practical implication relates to the importance of managers in knowledge dissemination based on having several brokerage roles in the tourism destination.

These findings are important because an understanding of social networks and the flow of information is one of the keys to determining the influences on knowledge sharing within tourism destination knowledge networks of owners or managers and their potential contributions to innovation.