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The tourist industry has to adopt a big data-driven foresight approach to enhance decision-making in a post-COVID international landscape still marked by significant uncertainty and in which some megatrends have the potential to reshape society in the next decades. This paper, considering the opportunity offered by the application of the quantitative analysis on internet new data sources, proposes a prediction method using Google Trends data based on an estimated transfer function model.

The paper uses the time-series methods to model and predict Google Trends data. A transfer function model is used to transform the prediction of Google Trends data into predictions of tourist arrivals. It predicts the United States tourism demand in Italy.

The results highlight the potential expressed by the use of big data-driven foresight approach. Applying a transfer function model on internet search data, timely forecasts of tourism flows are obtained. The two scenarios emerged can be used in tourism stakeholders’ decision-making process. In a future perspective, the methodological path could be applied to other tourism origin markets, to other internet search engine or other socioeconomic and environmental contexts.

The study raises awareness of foresight literacy in the tourism sector. Secondly, it complements the research on tourism demand forecasting by evaluating the performance of quantitative forecasting techniques on new data sources. Thirdly, it is the first paper that makes the United States arrival predictions in Italy. Finally, the findings provide immediate valuable information to tourism stakeholders that could be used to make decisions.

This study aimed to examine factors associated with volunteer role identity in mentors of school-based mentoring programmes.

Drawing on established theoretical models of volunteerism (the Role Identity Model), and research and theory on mentoring programmes, an integrated model of predictors of mentor volunteer role identity was tested. Seventy-one mentors (63 females, mean age 36 years) completed a survey with measures of habit, subjective norms, satisfaction with the mentor-mentee relationship, relationship closeness, social skills and mentor role identity. Path analysis was used for data analysis.

Fit indexes revealed an acceptable fit to the data. There were six significant paths. Habit and subjective norms were directly related to role identity. The association between mentor role identity and two further predictors, satisfaction with the mentor–mentee relationship and social skills was respectively fully and partially mediated by relationship closeness.

Findings can inform mentoring programmes in supporting mentors to develop a close relationship with their mentees and promote the development of a role identity as a volunteer among mentors. A stronger role identity is in turn expected to enhance mentor retention in the programme.

An important and novel finding of this study is that relationship closeness contributes to mentors developing a volunteer role identity. Also, for the first time, the importance for mentors of support from significant others in fostering sustained volunteer engagement has been examined.

The twofold aim of this theory-building article is to raise questions about the ability of queer cinema to transform market culture and ideologies around gender and sexuality. First, the authors examine how the very capitalization of queer signifiers may compromise the dominant order from within. Second, the authors address how brands possibly can draw on these signifiers to project authenticity.

Through visual methods of film criticism and the semiotic analysis of three films (Moonlight, Call Me By Your Name and Portrait of a Lady on Fire), the authors outline some profound narrative tensions addressed by movie makers seeking to give an authentic voice to queer lives.

Brands can tap into these narrative attempts at “seeing the invisible” to signify authenticity. False sublation, i.e. the “catch-22” of commodifying the queer imaginaries one seeks to represent, follows from a Marcusean analysis.

In more practical terms, “seeing the invisible” is proposed as a cultural branding technique. To be felicitous, one has to circumvent three narrative traditions: pathologization, rationalization and trivialization.

In contrast to Marcuse's pessimist view emphasizing its affirmative aspects, the authors conclude that such commodification in the long term may have transformative effects on the dominant ideology. This is because even if something is banished to the realm of imagination, e.g. through aesthetic semblance, it can still be enacted in real life.

Urban metropolitan consumers react to the different qualitative categorizations of the product thus creating homogeneous market segments. The aim of this paper is to identify specific market segments which allow for the definition of homogeneous olive oil consumer targets.

This study was based on the stated preferences of consumers and emphasizes the role that different quality scales of olive oil have in the eye of the consumer. The data, collected through a questionnaire, were analysed by means of inferential and multivariate statistics techniques, that is, the study specifically entailed a factorial and cluster analysis.

This paper explores olive oil market segments broken down by the different quality levels of existing products, thus trying to identify main consumer preferences. Our outcomes suggest the existence of three main quality classes of olive oil consumer: basic, popular and premium.

Even though we gathered data and information from a broad sample, the study does not fully reflect the average Italian population since we based our study on a convenience sample of northern Italian consumers. A more extended sample is needed to test our hypothesis in other regional areas.

The outcomes derived from this study provide useful insights both for marketers and olive oil producers by allowing more efficient strategic decisions in terms of product segmentation.

This study, aimed at matching olive oil market segments and consumer preferences, shows the existence of three well-defined quality classes of olive oil consumer: basic, popular and premium. In addition, this study ascertains for the first time how the attitude towards local products is positively influenced by family origin as a result of an inter-generational attitude.