Since 1990, both people’s recognition of the need for sustainability around the world and environmental management systems in the tourism industry have been growing. Academic studies have primarily focused on the willingness of consumers to pay more to stay in major hotel chains, finding that the incorporation of environmental management systems (EMSs) is a way to save money by reducing costs, while improving the image and competitive advantage of these chains in the market. However, the aggregate environmental impact of tourism activity does not only depend on the practices of industry leaders. It also relates to the degree to which all stakeholders adopt these practices. Boutique hotels fall under the category of small-sized accommodation and are characterized by their size, independent management, and respect for the local environment. Hotel consumers display positive attitudes with respect to green hotel practices, which provides a starting point for motivating hotels to continue working on improving their environmental impact performance. For this reason, the objective of this paper is to determine whether boutique hotel clients are willing to pay more for a hotel with an environmental management system. Two dependence techniques are applied, logit regression and linear regression. The results show that the respondents’ age and income, as well as the strength of their environmental commitment, are determinant factors of whether clients would pay more to stay in a boutique hotel with an EMS. This preliminary study tries to investigate the “willingness to pay” in the Spanish boutique hotels. The originality of this article responds to the demand for a more holistic perspective on the hospitality sector, contributing to the understanding of hotel clients and their willingness to pay more for an EMS.

PurposeThe aim of this exploratory study is to identify the factors that influence the acceptance of social robots in museum environments and determine if this influence depends on the visitor's profile (age, gender, education and occupation).Design/methodology/approachData collected from an electronic questionnaire include 433 responses from Spanish visitors. The authors subjected the variables proposed by De Kervenoael et al. (2020) adapted to museums. The initial descriptive analysis only showed significant differences by age (under or over 30 years old). Based on these previous results, an exploratory factor analysis was carried out to test the applicability of the questionnaire to museums. After identifying the factors, the authors applied an ANOVA test to determine whether there are age-related differences between the factors related to robot acceptance in museums.FindingsThe authors developed a multidimensional instrument for measuring willingness to accept social robots in museum contexts. Willingness is determined by three factors: museum visitor experience (which is a factor specific to museums), empathy and personal engagement (which are both usually relevant in other tourist sectors as well). The younger individuals (under 30 years old) have a higher degree of acceptance than do visitors over 30.Originality/valueSocial robot use in museums is still very low, so the key factors for their acceptance have yet to be ascertained. The specific skills of social robots could prove to be a major draw for young people and contribute significantly to the future of museums.

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