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Purpose: In the experience economy, the main challenge for museums is not only to attract visitors but also to preserve artworks. Given this circumstance, this chapter aims to offer an overview of how these cultural organisations have emerged as labs of the future culture, where all kind of technological experiments are tested so as to fulfil their mission.

Design/methodology/approach: This chapter is based on extensive literature review on issues related to robots, artificial intelligence and service automation (RAISA) in the museum sector. Examples illustrate the role of technology in the experience design and preservation of cultural resources.

Findings: 1) A chronological framework of museums’ orientations is established to understand the evolution toward the technology-driven present period. 2) Robots, artificial intelligence and service automation have a meaningful contribution to make in guaranteeing visitor arrivals. 3) This technological phase requires a tourism workforce with new skills.

Research limitations/implications: Few academic studies concerning to the use of robots, artificial intelligence and service automation in the museum sector were found. Hence, more empirical studies are required to completely corroborate the chapter’s suggestions.

Practical implications: An enlightening path for the service design of multisensory and participatory is proposed, as a useful guide for heritage managers, marketing practitioners and tourism planners.

Originality/value: Museum management has been always receiving the attention of managers, policymakers, scholars, among others. Insights of how technology enhances heritage preservation and the improvement of museum services throughout numerous examples can direct them to increase knowledge and adopt these practices.

The purpose of this chapter is to conduct a structured literature review to examine the relationship between entrepreneurship and emotional intelligence in academic settings as well as the current entrepreneurship pedagogy for flexible, innovative and creative graduates. One hundred and twenty-eight peer-reviewed papers were analysed based on Webster’s and Watson’s (2002) methodology. Papers classified into three topics and a content analysis was implemented to discuss about the publication year, journals, authors, frequency of keywords and research method adopted. The contribution of this chapter is twofold. It is a bibliometric study which provides a macropicture of a research field, its evolution and connections among studies, in order to be a starting point for future researchers who are already studying entrepreneurial education or entrepreneurship-related scientific areas. Also, this chapter helps academics to improve educational programmes and curriculum to increase students’ entrepreneurial intention taking into account the factors that affect it.

This chapter is designed with the aim to determine the influence of sociodemographic variables on the capacity to generate social enterprises, such as sex, the student’s country, if only they study or if they study and work, as well as if they participate or direct a social enterprise in university students of Latin American business schools. This research adopted an inductive quantitative approach using a questionnaire. The participants were university students of business schools from Colombia, Mexico and Peru. Second-generation structural equation method (SEM-PLS) was used to analyse the results, using the SmartPLS 3.2.7 software applied to data on 3,739 university students. The results suggest that the entrepreneur role, labour situation, country and sex have a moderating effect in the relation between entrepreneurial orientation and entrepreneurial intention. Also, by using resampling technique Bootstrapping (5,000 times,p < 0.01), significance of the trajectory coefficients (beta) and effect size of the coefficients (beta) were measured to demonstrate significance. Finally, with this research the authors ascertain that entrepreneurial orientation positively influences entrepreneurial intention. thus explaining 42.4% of its variance. This chapter is the first attempt on investigating in university students of Latin American business schools about factors of entrepreneurship orientation and entrepreneurship intention, and has strong potential to contribute to development of policies and strategies to promote the growth of entrepreneurship activities in the universities.