Search results

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.

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.

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.

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.

The results hold important theoretical and practical implications contributing towards innovation for competitiveness and filling a shortcoming identified in the literature.

Technological advancements are reshaping the tourism industry, necessitating the adaptation of business models through digital technology utilisation for intelligent, sustainable and inclusive tourism offerings. The diverse nature of tourism businesses, encompassing size, technology access, risk aversion, labour intensity, and more, presents a spectrum of challenges and opportunities for business model innovation (BMI) and digital transformation (DT) to maintain competitiveness. This study focuses on the core aspects of DT and BMI within the tourism sector, offering pivotal insights to aid tourism companies embarking on the intricate journey of DT and BMI in this evolving landscape.

The study conducts an extensive literature review to identify critical issues and pathways for tourism businesses pursuing DT and BMI. The review is focused on the challenges, opportunities, risks and imperatives that tourism organisations have to navigate in the current DT landscape to renew their business model.

The findings underscore the pressing need for tourism businesses to undergo a holistic DT. While digital technologies are reshaping the essence of tourism value chains, the transformation extends beyond technology adoption to encompass a profound renewal of organisational culture, competencies, structure, leadership and operational models. This paradigm shift is indispensable for crafting more innovative, sustainable and more inclusive tourism development. The paper also provides strategic recommendations and outlines future research directions to fortify the transformational journey of the tourism sector.

The paper provides key insights into supporting DT and BMI in tourism businesses, advancing a nuanced understanding of the multifaceted challenges and opportunities tourism organisations face in the digital age.

The current study is designed to investigate the factors that foster the framing of destination competitiveness and establish the factors that drive the contribution of tourism innovations to economic growth in smart tourism destinations.

A four-year panel data were extracted from the World Economic Forum's travel and tourism competitiveness index and data were analysed using Poisson Pseudo Maximum Likelihood regression model.

The findings demonstrate that both the enabling environment and airport infrastructure significantly affect tourism's impact on the economy of the selected smart European tourism destinations. Conversely, human resources and general infrastructure display a negative correlation with tourism's contribution to the economy. However, no data in the sample support the idea that tourism policies, government prioritization or readiness of tourism information and communication technologies impact tourism's contribution to the economy. Additionally, the marginal effects indicate that improving the enabling environment and airport infrastructure can generate additional benefits for the economy through tourism.

The uniqueness of this study is the integration of smart tourism destinations with the measure of destination competitiveness to provide an empirical bridge that links tourism competitiveness to economic growth.

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 find a dynamic model in an effort to optimize tourism performance in ecotourism destinations. The model structure is built based on competitive performance in geographic areas and the application of ecotourism elements that are integrated with big data innovation through artificial intelligence technology.

Data analysis is performed through dynamic system modeling. Simulations are carried out in three models: First, existing simulation models. Second, Scenario 1 is carried out by utilizing a causal loop through innovation of big data-based artificial intelligence technology to ecotourism elements. Third, Scenario 2 is carried out by utilizing a causal loop through big data-based artificial intelligence technology on aspects of ecotourism elements and destination competitiveness.

This study provides empirical insight into the competitiveness performance of destinations and the performance of implementing ecotourism elements if integrated with big data innovations that will be able to massively demonstrate the growth of sustainable tourism performance.

This study does not use a primary database, but uses secondary data from official sources that can be accessed by the public.

The paper includes implications for the development of intelligent technology based on big data and also requires policy innovation.

Sustainable tourism development.

This study finds the expansion of new theory competitiveness of ecotourism destinations.

The concept of Sustainability-Oriented Service Innovation (SOSI) has been recently suggested from a conceptual reflection approach in an attempt to integrate innovation and sustainability in services, being an emerging field of innovation in services. This study aims to propose a scale to measure Sustainability-Oriented Service Innovation from the perspective of the company. Because the whole is different from the sum of its different parts, we need to better understand the synergy between sustainability and innovation for the future of tourism companies.

Upon a literature review, we propose a scale and explore its dimensionality with data from 268 to 256 Spanish hotel and travel agency managers, respectively. The dimensionality of the scale for measuring Sustainability-Oriented Service Innovation is similar in hotels and travel agencies.

Five factors emerge from the principal component analyses carried out: two dimensions referred to technological and non-technological innovation, respectively, and three dimensions labelled as economic, social and environmental sustainability.

To guide managers towards their operations, the proposed scale is expected to inspire models to assess the impact of SOSI practices in such a highly competitive industry and to identify the most influencing dimensions on the future performance of the tourism company.

To the best of our knowledge, no scale has been presented so far that brings together the dimensions of technological and non-technological innovation, as well as sustainability from a Triple Bottom Line approach.

This study explores tourist loyalty as a key for marketing Muslim destinations by integrating experience quality, innovation, smart technology and environmental concerns as determinants.

A quantitative research approach was applied by gathering data from 442 inbound Muslim tourists who visited various tourist destinations in Indonesia. PLS-SEM was utilized to examine the hypothesized association between the construct variables.

The data analysis reveals that the inclusion of smart technology and environmental concerns strengthens the innovation-quality-loyalty model. Specifically, this study highlights that smart tourism technology, and environmental concerns are essential to drive the quality of destination innovation and tourist holistic experience, which subsequently impact tourist loyalty.

This study provides hints to the marketing managers of Muslim tourist destinations to make their destination sustainable by creating loyalty among their Muslim visitors. In order to achieve this target, Muslim destinations are suggested to utilize smart technology and create environmentally friendly destinations to push innovation.

To the best of the authors’ knowledge, this is the first examination of the amalgamating innovation-quality-loyalty model with smart tourism technology and environmental concerns in the context of halal tourism.

This paper aims to examine how Airbnb has been transformed from an informal form of tourism accommodation into an emerging form of tourism e-micro-entrepreneurship through an interesting triangle consisting of three distinct parts: hosts, platform and guests.

Considering that the peer-to-peer response has sealed the sharing economy's success, research methodology involves primary research that focuses on the adeptness of Airbnb hosts as e-micro-entrepreneurs from the customers' perspective. A quantitative methodology was employed by applying a convenience sampling strategy through a structured questionnaire that was distributed online, resulting in a collection of 150 useable responses. A statistical analysis has been performed to test the research's objectives.

Driven by Airbnb hosts' entrepreneurial behavior in managing their listings and guests' responses, research findings led to the development of a post-conceptual IRMA model, which describes this particular form of hosting as an e-micro-entrepreneurship opportunity, while guests' satisfaction confirms the platform's performance and hosts' efforts in service quality provision.

This study brings valuable insights to the tourism e-entrepreneurship literature through the assessment of the Airbnb platform and the hosts as e-micro-entrepreneurs, providing useful information to researchers and managers involved in the Sharing Economy's disruptive innovation and a more complete understanding of the drivers of Airbnb's consumer adoption.

Research on Airbnb mainly focuses on service quality from the customer perspective, while the existing literature does not highlight how a new type of e-micro-entrepreneurship has emerged by operating in the sharing economy's disruptive innovation ecosystem, which illustrates the factors that motivate hosts and guests to share accommodation services in an equilibrium bond.