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Innovation is critical to the tourism industry. Living Labs (LLs) are innovation ecosystems which are becoming popular in tourism. LLs are a model of open innovation characterized by a networked approach to innovation. Local communities and businesses are usually excluded from processes of decision-making concerning the management of tourism. LLs enable local communities' participation in the sustainable development of tourism, thereby providing them the opportunity to increase their share of benefits. This chapter focuses on a case study of an LL recently created in Portugal and discusses LLs as an environment for tourism innovation where the local community is stimulated to explore competencies to cocreate value.

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 study aims to analyzed the development of open innovation research knowledge and its application in the tourism sector during the past 17 years, with the aim of understanding the scientific activity and impact of existing research. In addition, this research identifies trending thematic lines and provides recommendations for future research on this topic.

A bibliometric analysis was carried out from the Scopus database, in which 110 studies related to open innovation in tourism were identified. The analysis of the papers was done with the Bibliometrix and Vosviewer tools.

The results show that there is a recent and growing interest among academics, especially since 2017. Moreover, four main lines of work were identified: overtourism and sustainability, value cocreation, open innovation and competitive advantage and its impact on organizations belonging to the hotel sector and the relationship between external knowledge and internal sources in innovation management and open innovation performance.

The relationship with other stakeholders involved in the customer experience value creation in the tourism sector depends to a large extent on the joint offer that hotels, restaurants, tour operators and tourist offices, can provide in a tourist destination. Therefore, having external sources to innovate from will improve their innovative and organizational performance. However, there are no bibliometric analyses on the application of the open innovation paradigm in this sector. Thus, this research contributes to fill this gap, as well as to identify the most recurrent themes that show how open innovation is developing in tourism, providing academics and researchers with guidelines for future research.

This research is an empirical study that addresses whether knowledge resources impact on, or do not impact on, innovation development and if this impact is mediated by dynamic capabilities in the medical tourism sector in Mashhad city, Iran.

A quantitative research methodology was applied and questionnaires were used for data collection in this study. A total of 108 questionnaires were collected of which 102 questionnaires were valid. Data were analyzed using structural equation modelling technique.

Empirical evidence obtained from the study reveals that the dynamic capability of learning plays a significant role in transforming knowledge resources into innovation in the medical tourism sector. The mediating role of coordinating capability in the relationship between explicit and tacit knowledge and innovation is considerable and it influences human capital, as well. Sensing capability also exhibits some degree of a mediating role; however, integrating capability is not influential and its role in transforming explicit knowledge to innovation is rejected.

Most studies on innovation in medical tourism focused on market and its typology, and neglected the role of knowledge resources and dynamic capabilities. The current study bridges this gap and thus contributes to the scientific literature.

The technological and digital revolution has introduced important changes in the tourism industry. However, capturing the extent of the new tourism 4.0 paradigm is still difficult. This study aims to assess the dimensions related to the concepts of industry 4.0 in tourism and hospitality, tourism innovation and tourism ecosystem when considered simultaneously, and their role in promoting a new wave of competitiveness in the tourism industry.

A bibliometric study was conducted based on tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem using 120 eligible articles published between 2008 and 2021 from the Web of Science database.

This study demonstrated the advances in industry 4.0 in tourism and hospitality publications over 13 years and identified five interconnected dimensions: (1) knowledge transfer in tourism; (2) networking tourism innovation; (3) sources of tourism innovation; (4) smart tourism ecosystem and (5) innovation research in tourism. It was also concluded that tourism development should be a regional competence based on strategic networking and externalisation of regional knowledge flows.

This bibliometric review provides important implications and recommendations for several players of industry 4.0 in tourism and hospitality and policymakers. Not only did it make it possible to create a state of art, but also to categorise the existing interconnections between the dimensions of Tourism 4.0, Hotel 4.0, Tourism innovation and Tourism ecosystem to optimise its implementation and generate greater value. In addition, practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and actors in this sector.

Apart from state of the art, this bibliometric review made it possible to categorise the existing interconnections between the dimensions of tourism 4.0, hotel 4.0, tourism innovation and tourism ecosystem to optimise its implementation and generate greater value. Practical implications were inferred that improve the tourism sector’s competitiveness, helping strategic decision-making at the level of policymakers and several players in this sector.

This study addresses the existing literature gap in the interconnection of industry 4.0 with tourism and hospitality by describing the most relevant conceptual interconnections and setting practical implications for improving the competitiveness of the tourism industry. Furthermore, it integrates previous studies and outlines future lines of investigation.

This research focuses on analysing the effect of wine tourism on green product and process innovations developed by Spanish wineries. In addition, age, size and membership in a protected designation of origin (PDO) are introduced as control variables to increase the precision of the cause–effect relationship analysed.

The study proposes a conceptual model based on previous studies, which is tested using structural equations (partial least squares structural equation modelling [PLS-SEM]) with data collected from 202 Spanish wineries.

The research results show that wine tourism activity has a positive and significant influence on green product and process innovation.

The research contributes to the academic literature in several ways. First, the study advances knowledge and understanding of the benefits generated by wine tourism. Second, the research contributes to the literature that analyses the wine tourism–sustainability link, since it is predicted that this type of tourism can increase the capacity for green innovation. Third, to the best of the authors’ knowledge, there is no previous research that has analysed wine tourism as a catalytic variable for green innovation. Fourth, the proposed theoretical model has not been previously addressed in the academic literature, so the study represents an important advance in scientific knowledge.

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.

Based on imprinting theory and episodic future thinking, this paper aims to study how CEOs’ attributes and experiences inform innovation in tourism and hospitality businesses. It also explores ways to quantify innovation in this sector.

The authors quantitatively analysed innovation in tourism and hospitality using extensive data from companies’ annual reports. They further adopted multivariate regression to test how CEOs’ experience affects enterprise innovation.

Results demonstrate that CEOs’ academic education and rich work experience can promote corporate innovation. The authors also identified a mediating role of the tone of narrative disclosure in annual reports between CEOs’ academic education and corporate innovation. The imprinting effects of career experience and educational experience appear both independent and interactive.

CEOs are more inclined to engage in corporate innovation when influenced by the combined imprinting effects of strategic management training and work experience. Additionally, leaders should consider how communication styles indirectly influence innovation activities.

This paper introduces an integrated perspective that blends imprinting theory and episodic future thinking to bridge knowledge gaps regarding the interaction of CEOs’ past experiences. This work enhances understanding of how CEOs’ imprinted experiences, together with their capacity for envisioning future scenarios, can drive corporate innovation.

The purpose of this research paper is to establish the impact of process and service innovation on non-financial and financial performance in the tourism sector, as well as to explain the mediating role of organizational learning.

A quantitative approach was used, based on partial least squares–structural equation modeling (PLS-SEM), Smart PLS 4.0 software. The sample consisted of 426 establishments in the tourism sector in Zone I, Ecuador. Online surveys were employed to collect data, yielding 118 responses, to assess the impact of innovation on business performance from 2020 to 2022.

Process and service innovation positively and significantly affect non-financial and financial performance, respectively. Organizational learning mediates the relationship between process innovation and disservice. The relationship between non-financial and financial performance could not be confirmed. The model explains 53.10% of non-financial performance and 26.10% of financial performance.

The relationship between innovation and performance in the tourism sector has been studied in several developed economies, while little has been studied in developing countries. This work contributes to an empirical discussion including a mediating variable in the innovation–performance relationship in the Latin American context.

El propósito de esta investigación es establecer el impacto de la innovación de procesos y servicios en el desempeño no financiero y financiero en el sector turístico, así como explicar el papel mediador del aprendizaje organizacional.

Se utilizó un enfoque cuantitativo, basado en el software PLS SE M, Smart PLS 4.0. La muestra estuvo constituida por 426 establecimientos del sector turístico de la Zona I, Ecuador. Se aplicaron encuestas en línea para recopilar datos, que arrojaron 118 respuestas, para evaluar el impacto de la innovación en el desempeño empresarial de 2020 a 2022.

La innovación de proceso y de servicio afecta positiva y significativa al desempeño no financiero y financiero, respectivamente. El aprendizaje organizacional media la relación entre innovación de proceso y des servicio. No se pudo confirmar la relación entre desempeño no financiero y financiero. El modelo explica el 53.10% del desempeño no financiero y el 26.10 del desempeño financiero.

La relación entre innovación y rendimiento en el sector turístico se ha estudiado en varias economías desarrolladas, mientras que en los países en desarrollo se ha estudiado poco. Este trabajo contribuye a una discusión empírica incluyendo una variable mediadora en la relación innovación-desempeño en contexto latinoamericano.

With the increasing importance of technology in hospitality and tourism, technology-driven service innovation has been a salient topic discussed from both customers’ and suppliers’ perspectives. However, there has been a lack of research that provides an overview of research on technology-driven service innovation. The purpose of this study is to review current discussions on technology-driven service innovation and provide directions for future studies in the hospitality and tourism literature.

A total of 82 articles on technology-driven service innovation were collected from top-tier hospitality and tourism journals. The papers were analyzed using content analysis to derive key topics discussed in the literature. Such discussions were made by different service innovation categories, antecedents, outcomes and theories. Future research agendas were suggested based on the research gap found in the literature.

The results indicate that prior discussions on technology-driven service innovation viewed technology as a service or service delivery method, with limited focus on management, marketing and institutional service innovation. In addition, the study reveals five key topics that need further discussion, such as cocreative technology, human resources management, strategy management, emerging technology and digital transformation.

While there have been increasing studies that reveal determining roles of technology in service innovation, scarce research introduced the new concept of technology-driven service innovation, suggesting a comprehensive approach. By adopting the unique approach of technology-driven service innovation, the research reveals the multifaceted roles of technology in service innovation and areas that need further discussion to implement highly sustainable strategies.

The research adds to the knowledge of technology-driven service innovation by providing a holistic view of current discussions, finding research gaps and proposing future research agendas for extended discussion.