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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).

Despite the widespread use and application of resilience, much uncertainty about the conceptualization and operationalization in the context of tourism destinations still exists. The purpose of this paper is to provide a conceptual elaboration on destination resilience and to introduce a model for an improved understanding of the concept.

Taking a conceptual research approach, this paper seeks to untangle the fuzziness surrounding the destination and resilience concept by providing a new interpretation that synthesizes theories and concepts from various academic disciplines. It analyses the current debate to derive theoretic baselines and conceptual elements that subsequently inform the development of a new “Destination Resilience Model”.

The contribution advances the debate by proposing three key themes for future resilience conceptualizations: (1) the value of an actor-centered and agency-based resilience perspective; (2) the importance of the dynamic nature of resilience and the (mis)use of measurement approaches; (3) the adoption of a dualistic resilience perspective distinguishing specified and general resilience. Building on these propositions, we introduce a conceptual model that innovatively links elements central to the concepts of destination and risk and combines different narratives of resilience.

The contribution advances the debate surrounding destination resilience by critically examining the conceptualization and operationalization of destination resilience within previous research and by subsequently proposing a “Destination Resilience Model” that picks up central element of the three new frontiers identified in the conceptually driven review. The innovative integration strengthens the comprehension of the resilience concept at destination level and supports building future capacities to manage immediate adverse impacts as well as novel and systemic risks.

Within the labor-intensive construction industry characterized by distinctly structural shortages in the labor force worldwide, efficient and effective migration of construction workers across regions is critical for the smooth operation of construction activities. This study aims to investigate how the interregional migration patterns of construction workers are impacted by the disparities in both employment opportunities and environment amenities between the origin and destination provinces.

Drawing on the push and pull theory and the archival data on 13,728 migrant construction workers in China, descriptive analyses are first performed to characterize the interregional migration patterns of the investigated construction workers. Combining regional data in the National Bureau of Statistics of China, this study uses hierarchical regression modeling techniques to empirically test the relative importance of the employment-related and environment-related factors in driving the interregional migration of construction workers after controlling for the effects of related economic and geographic factors.

The results provide evidence that the interregional migration of construction workers is principally driven by the disparities in employment opportunities while disparities in environment amenities (including climate comfort disparity, medical service disparity and educational service disparity) generally play much fewer substantive roles. With regard to the impacts of employment opportunities, the results provide evidence that compared with the disparity in job market size, the disparities in job income and industry development level are more significantly relevant factors, which positively pull and adversely push the interregional migration flows, respectively.

This study contributes to a deepened understanding of how workers specifically balance their employment and amenity needs to make temporary migration decisions in the “laggard” labor-intensive construction industry. This study also adds to the literature on population migration by characterizing the specific characteristics of construction workers and the temporary nature of the workers' migration activities. The findings hold important practical implications for construction organizations and policymakers for effectively managing the mobility of migrant construction workers.

The extant literature on migrant construction workers has primarily focused on the consequences of international migration and the generalization of empirical findings on population migration mechanisms in other domains to the construction industry is substantially limited by the specific characteristics of construction workers and the temporary nature of their migration activities. In addressing this gap, this study represents an exploratory effort to quantitatively characterize the interregional migration patterns of construction workers in the labor-intensive construction industry and examines the roles of employment opportunity and environmental amenity in driving interregional migration.

The purpose of this paper is to explore the tourists' perception of smart tourism with the application of virtual reality and design a framework of smart tourism with elements of VR for Indian Tourism especially in the periods of the pandemic COVID-19. The ever-evolving and unprecedented COVID 19 situation had posed extreme challenges for the travel and tourism industry. In such conditions, it is becoming increasingly necessary to rely on digital technologies, ICT and smart tourism. ICT has served as a catalyst for innovations in tourism.

This study investigates the impact of smart tourism and virtual reality technology on the perception of tourists towards travelling decisions during and post COVID-19 scenario. The respondents involved in the study were tourists travelling in India, the tourists come from different parts of India. A structured questionnaire has been administered to collect data from 224 travellers across India. The questionnaire consisted 22 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step, the first order Confirmatory Factor Analysis (CFA) is carried out, by using the software IBM AMOS-20. The initial model is generated ix constructs, and outcomes are used to analyse the model's goodness of fit and construct validity. In the second step, Structural Equation Modelling (SEM) is carried out to do the path analysis of the proposed model. The effect of relationships amongst the theoretical constructs is also analysed using SEM.

The findings imply that the application of smart tourism along with virtual reality forms a positive perception of tourists and provides a sustainable platform for tourism organizations in Indian tourism. Virtual reality-based tourism has emerged as alternate for the tourism industry during the times of Covid, which in long run can be seen as a substitute to traditional tourism. The increasing use of blue ocean concepts, to delivery high-value experience at low cost has complimented the tourism industry. The researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy and which would ultimately facilitate the sustainability of the Industry by creating multi-dimensional values of experience for tourists in India.

The researchers have made a modest attempt by proposing a blended model of smart tourism with virtual reality as a blue ocean strategy, which would ultimately facilitate the industry's sustainability by creating multi-dimensional values of experience for tourists in India.

This qualitative study designs a smart tourism system with the use of the recent advances in ICT and Virtual Reality (VR), as a bridging solution and the saviour of the tourism sector in India during COVID 19. The integration of ICT into the travel experience has resulted in the social phenomena of smart tourism. This has led to a rise in use of smart tourism tools among tourism service providers.

There is a growing interest in investigating craft beer tourism and consumption experiences as different destinations seek to position unique attributes and cultures in their culinary offerings. Yet, in this space, factors that have triggered the creation, management and marketing of craft beer tourism remain implicit. The purpose of this paper is therefore to present a systematic literature review of craft beer tourism, apply a conceptual model of craft beer gastronomy tourism and, in turn, provide strategic imperatives for the sector moving forward.

A comprehensive search for craft beer tourism in hospitality and tourism literature was undertaken using a combination of Google Scholar search terms as well as institutional library databases. Then, following the steps proposed by Xiao and Watson (2019), articles were sorted into themes before determining their appropriateness to be included in a systematic literature review.

Based on prior research, a Craft beer gastronomy tourism model is proposed. This model was found to provide a macro perspective of the craft beer tourism literature and was applied using the systematic literature review. It was found that not many of the papers fit the three-step process, and a fragmented relationship between craft breweries and tourism was observed. On reviewing the theories and frameworks used, it was found that there was not much consistency with the majority using frameworks and concepts. Furthermore, most studies were undertaken from the perspective of a single region or homogenous samples, with few offering cross-sectional comparisons. The most common methods of the papers were surveys and interviews, with a majority being cross-sectional.

The systematic literature review has led to the development of a novel conceptual model that highlights the current focal areas but also gaps that inform future studies and managerial implications.

The purpose of this study is to analyze the moderating effect of adaptability on the relationship between cognitive social capital and innovation capacity in companies in the tourism sector. The study aims to contribute to a better understanding of the direct and indirect linkage generated between these variables.

The research was designed under the quantitative approach, and an empirical study was carried out by applying a questionnaire to 300 companies located in Arequipa, Perú. Data processing was conducted using partial least squares structural equation modeling using Smart PLS software.

The results demonstrate the existence of a positive and significant direct relationship between cognitive social capital and innovation capacity. Furthermore, it was found that adaptability moderates this relationship, improving the results. The study shows that shared goals and culture facilitate the transfer of knowledge, which allows the exploration of new opportunities, and that the accommodation of business resources enables companies to respond quickly to new market requirements, promoting the capacity for innovation.

Organizations operate in an environment of intense competition. Therefore, developing the capacity for innovation is essential to stay competitive. Managers must strengthen cognitive relationships by sharing objectives and culture with their contacts, in addition to developing the ability to respond to market changes. This will stimulate the creation of new products and services.

This document adds value to the literature on social capital and innovation, demonstrating the importance of adaptability and its moderating effect on the relationship between cognitive social capital and innovation capacity. This has not been explored before. The research shows how these three variables act synergistically in a model, improving results, which is essential to achieve the competitiveness of companies in the tourism sector of an emerging country.

This paper aims to discuss the capability of current governance models to achieve the sustainable development goals (SDGs) in the tourism sphere and propose a broad model of governance to support the SDGs agenda.

The paper reviews the existing literature and uses it as a basis for developing a model of governance. The proposed model is inspired by recent studies that discuss the implementation of the SDGs agenda in tourism and on Fennell’s (2019) framework for tourism ethics.

The study proposes a multi-level model of governance that espouses the need for a stronger supranational system that curtails the power of both governments and the private sector. It also emphasizes the need to identify hypernorms that delimit the capacity for action at the various levels and which are determined by accessing varied stakeholders’ views within this system at the international level.

This paper proposes a model of governance for the implementation of the SDGs as a foothold for future discussions. It highlights the main challenges that may be faced in the implementation of such a system and suggests several avenues for future research.

The technology readiness and acceptance model were mostly employed as theoretical bases to analyze tourist behaviors of adoption of innovative technologies that are part of the smart tourism offer. This study attention now turns to the field of smart tourism human resource management and tries to establish a model to explain the relationship between general dimensions of personality with systematic specific dimensions toward ICT acceptance.

The authors adopted the TRAM model as a way to better understand and evaluate the causal relationships between the personality dimensions, factors of perception, attitudes and behavior of users regarding the acceptance and use of innovative technologies. Based on the empirical data of 478 employees operating in tourist organizations, travel agencies and hotels, the authors employed regression analysis as the basic method for examining the research hypotheses and causal relationships between variables in the presented model.

The analysis revealed that employees in the tourism sector are inclined to adopt new technology, and that technological readiness has an impact on attitudes and intentions toward the use of technologies. Moreover, the results show that the path between the dimensions of technological readiness and intention to use technologies is to a certain extent mediated through perceived ease of use and perceived usefulness.

This research is among the first empirical studies that examine technology readiness and adoption in the context of smart tourism development. Besides the findings extend the literature on the mediating effect of perceived usefulness and perceived ease of use between technology readiness index and technology acceptance behavior.

This study aims to examine an emerging product–place co-branding marketing practice in China’s rural areas. The role of this practice in inclusive development is analyzed from the perspectives of value proposition innovation, market legitimacy, media coverage and brand value. Both research and practice indicate value proposition innovation to exert an important influence on brand value enhancement, but little is known about the mediating and moderating mechanisms underlying this relation.

A moderated mediation model is constructed to examine whether market legitimacy mediates the relationship between value proposition innovation and brand value. vWhether this mediating process is moderated by media coverage is also examined. The primary data are collected from semi-structured interviews and observations conducted with two common cases to develop proper scales for value proposition innovation and market legitimacy. The research includes 100 product–place co-brandings published by the Ministry of Agriculture and Rural Affairs in 2019. Hypotheses are tested using hierarchical regression and a Bootstrap model.

Value proposition innovation has a positive effect on brand value, and market legitimacy partially mediates this relationship. Media coverage positively moderates the relationship between value proposition innovation and market legitimacy, and positively moderates the mediating effect of market legitimacy; the higher the media coverage, the stronger the mediating effect of market legitimacy.

Based on data availability and accessibility, the study sample focused on indicators from 100 brands in 2019. If the Ministry of Agriculture and Rural Affairs discloses consecutive annual information for other years, future studies could explore panel data to further test the study’s conclusions from a longitudinal perspective.

First, this paper adds to the emerging literature on product–place co-branding business models by examining the relationship between value proposition innovation and brand value. Second, this paper enriches institutional theory by including market legitimacy as a mediator between value proposition innovation and brand value. Third, this paper identifies the moderating role of media coverage, thus broadening the theoretical implications of institutional theory with respect to improving market legitimacy.

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.