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This study aims to investigate the mediating effect of consumer innovativeness in the relationship between tourism inclinations and revisit intention. This study focuses on the significance of innovative technologies that help to reduce physical contact and optimize operations and services to offer a direct added value to hospitality businesses and their customers.

This study uses a self-reported survey design using an online questionnaire to collect data from randomly selected potential tourists. The survey was in English. Data collection was carried out from June to July 2020, and a valid sample of 272 responses was obtained for data analysis.

The data were analyzed using ADANCO software. The study suggested that tourism inclination has both direct and indirect impacts on revisit intention through innovativeness.

This study allows a deeper understanding of the importance of contactless and low laborer-interaction technologies that help hospitality industry to win back pandemic-sensitive customers once this outbreak is over. To do this, the mediating effect of consumer innovativeness on their intention to revisit a tourist destination post-Covid-19 was investigated.

The purpose of this study is to examine how the anticipated positive evaluation of a tourist’s social media posts by significant others, known as social return (SR), impacts the memorable tourism experience (MTE) and how this evaluation influences the revisit intention and recommend intention (operationalized dimensions of behavioral intention-BI).

The relationship among SR, MTE and BI was measured using established scales that were assessed for reliability and validity. Structural equation modeling was applied to the data collected from 316 respondents who had visited a heritage site.

The findings indicate that SR significantly impacts MTE and BI and MTE partially mediates the relationship between SR and BI. However, the impact of SR on revisit intention is weak despite being statistically significant.

This paper seeks to extend the SR concept introduced in tourism and hospitality literature in 2018. This study validated the scale in a new context while retaining the inviolability of the scale by including a world heritage site. This study used an extended version of the MTE scale and an adapted version of the BI scale. The use of these three scales together is an attempt to examine the symbolic nature of social media posts that can generate perceptions regarding the memorability of the tourist’s visit.

SR is a relatively new construct and has been very sparsely studied with no known study linking SR, MTE and BI.

The purpose of this paper is to demonstrate how technological innovation serves as an enabling factor to innovation in tourism management. The motivation of this paper is related to the question of how to innovate destination marketing as a tool to manage long‐term customer relationships.

The authors use mobile positioning‐based research methods to measure visitors' behaviour. This provides new data for the detection and measurement of destination loyalty that could be used as valuable input to improve destination marketing strategy and develop new services.

The use of mobile positioning helps to improve the quality of data about tourism flows in Estonia. The authors were able to observe and measure the duration, timing, density, seasonality and dynamics of visitations. Further, it allowed also to distinguish repeat visitors. The rich dataset provided by passive mobile positioning (PMP) allowed the implementation of the proposed, more detailed, classification of segments of repeat visitors and the identification of not loyal, somewhat loyal, loyal, very loyal, functionally loyal and forced to be loyal visitors. This analysis made it possible to reveal transit, long‐term, one‐day and other specific visitors among repeat visitors.

The theoretical novelty of the paper consists in the creation of the innovation model of the destination marketing of the country and providing the new approach of segmentation of repeat visitors. Empirical novelty is the use of PMP in studying repeat visitations for destination marketing. The paper offers new ways for governments to shape service policies and allows tourism industry firms to offer new services.

Having Middle Eastern tourism industry as the context, this study aims to examine the impact of the four main dimensions within service innovation (i.e. product, process, organizational and marketing innovations) on tourist satisfaction; subsequently, towards the development of destination loyalty. Realized that religiosity prevails as an important social force that shapes individual behaviours, this study, hence, placed further assessment upon its moderating role, specifically in the relationships between tourist satisfaction and destination loyalty.

With adopting the approach of self-structured questionnaire, 214 usable responses had been collected for this study. Obtained data was then analyzed by conducting exploratory factor analysis, confirmatory factor analysis and multiple linear regression analysis through the usage of structural equation modelling.

Analysis of obtained data has revealed all the investigated dimensions within service innovation as active predictors to tourist satisfaction, with the exception of product innovation, while having marketing innovation being of highest significance. In turn, tourist satisfaction is found to greatly influence the formation of destination loyalty. Findings then provide notable indication on religiosity as a moderating factor to the proposed relationships within the investigated framework, between service innovation and tourist satisfaction, as well as tourist satisfaction and destination loyalty.

This study, thus, revealed the level of religiosity, particularly from the standpoint of Islamic perspectives, in playing a critical role towards predicting capability of service innovation on tourist satisfaction, and further, destination loyalty. Contributions hereby lie on theoretical and pragmatic insights concerning aspects of service and Islamic marketing within today’s tourism front.

A recent study by Reimers et al. (2016) suggests that the attitude-behaviour gap, as it applies to ethical clothing, may be due to academics having defined it differently to the way that consumers do. The purpose of this paper is to serve as a direct follow-up to that study by employing their consumer-based definition in order to help identify the clothing attributes that influence the purchase of ethical clothing.

A consumer household sample in combination with a quantitative survey approach was used to collect the data, while structural equation modelling was used to analyse it.

In spite of the ethical clothing context, only two of the four ethical clothing dimensions were found to influence consumer attitudes. In contrast, all three conventional dimensions were found to be significant.

Ethical clothing has typically been operationalised using just two of these four dimensions. Ironically, one of the two dimensions often overlooked by academics, slow fashion, had one of the strongest influences on consumer attitudes. In addition, the cost of buying ethical clothing has often been defined in unidimensional terms; typically price. This study adopted a broader conceptualisation, defining it in terms of price, time and effort, and found it to serve as a salient influence over consumers’ attitudes to ethical clothing.

The examination of revisit intentions in hospitality is integral to relationship marketing and customer loyalty. Its measurement and determination have largely been done through closed-ended measures in surveys of customers. However, vast troves of consumer-generated media in the form of open-ended text reviews can also serve as sources for the determination of revisit intentions. The purpose of this paper is to develop and test a rule-based classification model from big data to extract revisit intentions.

Data for this came from 116,241 reviews scraped from Tripadvisor.com using a stratified sampling technique comprising hotels in major cities in the USA. A sample comprising 1,800 reviews was randomly drawn from this larger pool of reviews and manually annotated. A manual-set rule-based model, supervised machine learning (ML) models and hybrid models were developed to extract revisit intention.

The hybrid model of the MSRB method complemented by the gradient boosting ML method performed the best to classify revisit intentions in reviews.

This study’s rule-based classification model can be used by hotels to evaluate revisit intentions from the ever-growing pool of consumer-generated reviews. This can enable hotels to identify drivers of re-patronage and enhance relationship marketing initiatives.

This study is the first to propose an analytical model that taps big data to extracting revisit intentions. In the past, revisit intentions have been assessed using closed-ended questions using traditional survey-based methods.

This study aims to identify factors affecting travellers' behavioural intentions regarding beach destinations in Bangladesh. The study also examines how destination experience and satisfaction mediate the nexus between destination service factors and travellers' behavioural intentions.

A self-administered survey was carried out to gather data from 375 people who had visited the beaches in Cox's Bazar. Data were examined using partial least squares structural equation modelling (PLS-SEM) to evaluate the hypotheses.

The destination experience mediates the relationship between destination service factors and complaint intention but does not mediate the relationship between destination service factors and word of mouth (WOM). Moreover, destination satisfaction mediated the relationship between destination service factors and WOM, along with complaint intention.

This study's findings can be utilised by the Bangladeshi destination management to increase the number of tourists by instituting and maintaining improved destination service features in popular tourist destinations.

This is one of few studies on beach tourism destinations in Bangladesh that comprehensively overviews destination service factors and their influence on tourists' behavioural intentions, with a special emphasis on the mediating roles of destination experience and destination satisfaction.

Digital tourism has drawn the attention of researchers around the globe. This study aims to assess the digital tourism experience for tourist site revisit from an emerging market perspective.

Anchored on the social cognitive theory, the study employed a quantitative method, using the convenience sampling to select 328 participants who responded to tourism and technology sharing items through an online questionnaire. The study's hypotheses were tested utilizing structural equation modelling.

The results suggest a significant influence of technology-based service innovativeness on service value, tourist site revisits and experience sharing through technology. Further, the findings also revealed the significant influence of service value on tourist site revisit and experience-sharing through technology.

This study was conducted with only clients or tourists, and this limits generalization of the study's findings.

The study offers the understanding of how tourist site operators and all stakeholders have to deploy new ways of technology-based service innovation to get maximum return on their investment in the hospitality industry.

The outcome of this research advanced the linkage between technology and tourism in context, which is important to policymakers and practitioners in the sector.

The study aims to examine consumers' intentions to visit wine tourism destinations (WTDs) in Canada post-COVID-19 by combining destination-related constructs with the theory of planned behavior (TPB).

Convenience sampling was employed in the online survey method to gather data. Using AMOS and SPSS software, structural equation modeling (SEM) was used to analyze the data.

The outcomes of the SEM show that a powerful model for predicting consumers’ intention to visit WTDs was developed by combining the TPB with additional variables. More precisely, the study identified that consumers' attitudes, perceived behavioral control, wine product involvement and motivation exhibit positive influences on their intention to visit WTDs. Conversely, subjective norms and the destination wine image did not influence the intention.

The findings have important ramifications for various parties involved, including the government, travel agencies, tourism associations and wine producers. This research's emphasis on consumer behavior enables practitioners to adjust to the changing needs of consumers in the post-pandemic environment.

The drawn-out model gives an improvised view of consumers’ behavioral intentions to visit WTDs post-COVID-19 by testing an integrated structural model comprising TPB and destination-related constructs. As far as the authors are aware, this research represents the first-ever effort to predict consumer's intentions to visit WTDs post-COVID-19.

This chapter reports on a study of the benefits of the Integrated Education in Agricultural Entrepreneurship (IEAE). IEAE substantially covers the transfer of knowledge, skills, and attitudes that will allow in each farmer-learner to plan, to launch, and to manage his/her own business and it should be approached from leadership perspective and as a life-long learning process. Entrepreneurship constitutes an important factor that determines the level of economic growth, competitiveness, employment, and social prosperity of a small country such as Greece (Spanoudaki, 2008). For purposes of this chapter agricultural entrepreneurship is defined as an effort developed individually or collectively for the exploitation of resources that the individual or the team allocates for the production of useful agricultural products, services, or goods connected with the production of agricultural products and their distribution in the market, satisfying market needs. According to the Global Entrepreneurship Monitor (Bosma & Levie, 2010), entrepreneurship is conceptualized as each effort for building a new business or a new activity, such as the free profession, where the creation of a new business, or the extension of an existing one, is done by an individual or by teams of individuals, from public institutions or from established private businesses.