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This study encourages a quantum leap knowledge encouraging tourism researchers to measure actual behavior.

This study enhances the contribution of scholars to the achievement of Sustainable Development Goals; it is key to understand how to alleviate the distance between consumers’ intentions and behavior.

This study proposes a conceptual figure that shows how relative value, rationality and social desirability are the key determinants that hamper intentions in becoming behaviors.

This study encourages scholars to consider consumers’ perceptions and the relative value they attribute to sustainability in their decision-making and to conduct field studies that observe consumer behavior in the real world and measure not just the intentions, but what is actually happening.

为了提高学者们对实现可持续发展目标的贡献, 关键的问题是要了解如何减少消费者的意图和行为之间的距离。

我们想鼓励旅游研究人员测量实际行为, 成就一个飞跃性的知识。

我们提出了一个概念图, 显示了相对价值、理性和社会期望是如何成为阻碍意图变成行为的关键决定因素的。

我们鼓励学者们考虑消费者的看法和他们在决策中赋予可持续性的相对价值, 并进行实地研究, 观察消费者在现实世界中的行为, 不仅衡量意图, 更要衡量实际发生的情况。

Para mejorar la contribución de los estudiosos a la consecución de los Objetivos de Desarrollo Sostenible, es fundamental entender cómo se puede paliar la distancia entre las intenciones y el comportamiento de los consumidores.

Queremos impulsar un salto en el conocimiento que anime a los investigadores del turismo a medir el comportamiento real.

Proponemos una figura conceptual que muestra cómo el valor relativo, la racionalidad y la deseabilidad social son los determinantes clave que dificultan que las intenciones se conviertan en comportamientos.

Animamos a los estudiosos a tener en cuenta las percepciones de los consumidores y el valor relativo que atribuyen a la sostenibilidad en su toma de decisiones y a realizar estudios de campo que observen el comportamiento de los consumidores en el mundo real y midan no sólo las intenciones, sino lo que realmente ocurre.

This paper aims to examine tourists’ preferences for package holidays offering different bundles of activities at a winter mountain destination. A winter mountain destination is usually chosen for snow sports, particularly skiing, but increasingly more tourists want to fully exploit their holiday opportunity with an authentic and comprehensive experience of the place. After collecting qualitative data on how tourists spend their typical day, quantitative research is conducted to segment the demand on the basis of tourists’ preferences for bundles of activities undertaken during a winter mountain holiday.

The study uses a mixed method. Two focus groups are included to understand how tourists spend their time at a winter destination; results are then used to identify the components of the holiday, which are then combined in eight packages using an orthogonal array. A questionnaire is administered to a sample of 273 tourists at a well-known mountain destination to measure their preference for different packages. Results are analyzed using factor analysis, conjoint analysis and cluster analysis.

The most significant findings are as follows: winter mountain holidaying is a highly segmented market. Even at a mountain destination strongly associated with skiing, there are many tourists who do not ski and spend their time doing something else; food and beverage, and all their related activities, are at the top of all tourists’ interests, and passionate skiers very highly rate the experience of tasting, eating, understanding and buying local food; and there are four segments of winter mountain holiday tourists who show very differentiated interests for the different activities that can be experienced at a mountain location.

This paper considers what lies beyond sport at winter mountain destinations, and it reveals new possibilities for configuring bundles of activities to attract different segments of tourists.

The purpose of this study is to assess the role of animals in creating a satisfactory experience at a natural park by investigating the impact on visitors of the exposure to, or absence of, fauna, towards the visitors’ overall experience.

The work is based on a quantitative data collection of tourists visiting a nature park. Altogether, 532 valid questionnaires were collected and used for the analysis. A series of factor analyses was conducted on pull and push factors for animal encounters. The resulting factor domains (FDs) were used as independent variables in ordinal logistic regression models to describe customer satisfaction.

The results of this study show that important FDs characterize the main visitor characteristics. Although human–animal encounters are an important factor for some visitors, the encounters should be encouraged in the most natural manner possible and not in captivity. This brings us to the concept of “Interpretation”, where guides and guided tours can help with the encounters. Information given prior to and during the visit can ensure visitors are aware that animal encounters are subject to nature and cannot be guaranteed.

The presence of areas where a number of animals are in captivity and can be viewed by visitors is an important decision for national parks and protected areas, as animals represent a potential attraction for visitors. Nevertheless, this decision creates an ethical dilemma in relation to the exploitation of animals, exacerbated by recent and increasing pressure on sustainable management. This study provides valuable results for guiding park managers in making reasoned decisions.

This paper aims to examine the impact of global warming and climate change on skiing by assessing the costs that ski resorts would have to bear to address the lack of snow. In this way, new development models can be hypothesized for the regional economy in the Aosta Valley, territory located in the West Alps, whose economy is largely based on winter tourism.

Starting with a literature review regarding global warming and its effects on the Alps, a methodology of analysis has been implemented to assess the relative weaknesses of ski resorts. Additional costs in adaptation strategies have been considered in the light of a major choice ski resorts must face: investing or not. For this analysis, four scenarios of global warming have been taken into consideration.

The lack of snow due to a rise in temperatures will have a big impact on regional ski resorts and will seriously threaten the economy of small lateral valleys. In this scenario, it is important to think about reorganizing the regional ski supply by focusing on stations with better economic results and those strategically well located. In this way, we can safeguard winter tourism in the region and preserve skiing by concentrating costs only in those resorts that are also able to bear new cost adaptation strategies.

The value of this paper is its estimation of the future impact of a rise in the average temperature in regional ski resorts. This impact is assessed in relation to concerns about the reduction of the skiing area and the new costs that ski companies will need to bear. The paper also proposes a new model for the reorganization of the ski supply in the Aosta Valley.

Developing sustainable mobility can add value to the travel and tourism experience in alpine areas and can become a challenge for destinations in terms of interests, goals, skills and values involving both public and private subjects. Mobility as a Service (MaaS) is a new model for delivering sustainable transport services that in recent experiences seem to be an alternative to the use of owned cars by allowing the personalized use of a bundle of public and private transport means. This paper aims to identify the positive aspects in the two main Alpine regions affected by tourism demand coming mainly from Lombardy by implementing a mobility model inspired by Maas in the Lombardy capital.

The tourism demand of the Autonomous Province of Trento and the Aosta Valley Region is thus analyzed using descriptive statistics on tourist flows and mobility characteristics.

Technology and propensity to change are the determining factors to move from traditional to innovative mobility systems.

This work, by considering the recent studies on MaaS models, limited to sustainable urban mobility models, extends the MaaS approach to the key concepts of “sustainable mobility” and “sustainable tourism” by analyzing the tourist flow, which from Lombardy invest the main alpine regions.

There is growing interest in the use of human-like social robots, able to undertake complex tasks whilst building consumer engagement. However, further exploration is needed on the optimal level of humanoid appearance for service robots. In particular, the literature is limited with respect to mitigating disconfirmed expectations for robots high in human-likeness. This paper aims to address this gap by testing the effect of robot appearance, disconfirmed expectations and warmth (vs competence) on customers’ responses.

The study adopts a mixed-method design by presenting a focus group (Study 1) that guides two laboratory experiments (Studies 2 and 3). Studies 2 and 3 test for the moderating effect of warmth (vs competence) and the mediating roles of perceived eeriness and disconfirmed expectations.

The findings show that a robot high (vs low) in human-likeness leads to higher negative customers’ responses, which is explained by disconfirmed expectations rather than perceived eeriness. However, when customers interact with a warm (vs competent) robot high in human-likeness, this negative effect vanishes.

The paper investigates boundary conditions and underlying mechanisms that affect customers’ experiences. Although the study adopts high realistic experiments, a limitation lies in not measuring customers’ actual behaviours in the field.

This study provides new insights on how the appearance and characteristics of social robots influence the consumers’ experience. By doing so, this study offers managers actionable insights (i.e. enhancing warmth) to lessen the risk of disconfirmed expectations.

The paper offers new explanations as to why human-like robots can generate negative responses from customers. Moving beyond the “uncanny valley” hypothesis, this study shows the key role of disconfirmed expectations in explaining consumers’ negative responses towards humanoid robots. Moreover, it sheds light on the moderating role of warmth (vs competence), which can mitigate such negative effects.

In this paper, the authors assume that the matter of a good quality of air will grow in importance in the future, and that it could be a noticeable part of a quality system to be used for communication purposes. The authors propose some synthetic indicators for air quality and discuss them in-depth to provide robust indexes suitable for ranking a set of alpine destinations.

The authors use locally based data on three pollutants with reference to 25 alpine touristic destinations. Starting from hourly data for 62 days of the 2014 summer season for each pollutant, the authors end with a single synthetic air quality index for any locality. The aggregation methodologies are at the core of the paper; in particular, the authors propose a constant elasticity of substitution (CES) function – a well-known tool in Economics – to aggregate the pollutants the authors deal with. Because the degree of substitution among them is unknown, the authors simulate two extreme cases and an intermediate one to rank the localities on the bases of the synthetic air quality index.

All the Alpine destinations the authors considered have – or had in summer 2014 – an excellent open-air quality, and this was a permanent trait of that period. Ranks look robust (stable), as they do not depend significantly on the available options of the techniques the authors used.

The originality of the paper is inherent first in the idea that high quality air can be an issue of interest for touristic goals, especially in the case of mountain destinations, which have all proven to offer an excellent open-air quality. Second, from a methodological perspective, the paper frames dispersed and sectorial approaches into a single flexible one which has the property of being theoretically grounded into the economics mainstream and, at meantime, suitable to deal with some lack of information and research.

This chapter discusses the development of tourism in peripheral areas, prompted by the “National Strategy for Inner Areas” developed by the Italian National Government. The strategy, backed by policymakers, business owners, local communities, and environmental nongovernmental organizations (NGOs), aims to stop demographic decline by boosting sustainable tourism practices. A case study of Valle D'aosta examines the problems and their solution in the implementation of the strategy. It discusses how to make strategy implementation less complex and whether sustainable tourism is possible in such areas – whether it is an oxymoron, or whether it is a utopia that is worth pursuing.