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Tourism recovery after the pandemic has failed to take the path leading to sensitivity and humaneness at destination level. This chapter argues that to open this path, we need to confront the belief that tourists are self-centred, fun-driven and cheating individuals. This view on tourists and more generally human beings is central to the neoliberal understanding of consumers. It has moreover taken a strong grasp on the mind of economists, politicians, academics and the public at large.

To counteract this idea, I call upon Aristotle's discussion of friendship. In Nicomachean Ethics, Aristotle distinguishes between three forms of friendship: of utility, of pleasure, and of goodwill. Utility implies a relationship where people befriend each other in virtue of some good or service that they get or expect to get from each other. Friendships of utility, therefore, imply reciprocation. Friendships of pleasure can also be understood as a form of reciprocal altruism. However, friendships of goodwill are different because they are felt for others for their own sake and not in expectation of a favour in return. Friendships of goodwill include therefore others who may not be able to reciprocate, such as tourists staying only a short time at a destination. Looking through the lens of friendships of goodwill, one could argue that all tourists, including short-stay visitors, will be friendly and caring towards their hosts.

This chapter explores the soundness of friendships of goodwill in the light of more recent research on human nature. It also discusses its implications for our understanding of human beings, the relationship between hosts and guests, and ultimately the opportunity to steer tourism along a more sensitive, human and sustainable path.

This study aims to estimate the value of the impact from digital transformation (DX) focusing on its automation effect, looking at the time and cost savings coming from the substitution effect with an adoption of digital technologies. For example, cloud and artificial intelligence technologies such as ChatGPT have the potential to change ways of working, substituting and replacing several of the tasks that are currently carried out by public administration (PA) employees and labor processes underpinning PA services.

The paper outlines a new framework to estimate the potential impact of DX on the public sector. The authors apply this framework to estimate the value of the impact of DX on the Italian PA, defining the latter by the collection of the value of its labor (i.e. PA workforce salaries) and by the collection of the value of its outputs (i.e. public services’ costs).

This study ultimately maps out the magnitude and trends of how likely the PA occupations and services could be substituted in a wider process of DX. To do this, the authors apply their framework to the Italian PA, and they triangulate secondary data collection, from official accounts of the Italian Ministry of Economics and the National Statistical Institute, with methodological antecedents from the UK Office for National Statistics and experts’ insights. Results provide a snapshot on the type and magnitude of PA jobs and services projected to be affected by automation over the next 10 years.

To the best of the authors’ knowledge, this paper provides for the first time an approach to estimate the value of the impact of DX on the public sector in a data-constrained environment – or in the lack of the required primary data. Once applied to the Italian PA, this approach provides a granular map of the automatability of each of the PA occupations and of the PA services. Finally, this paper mentions preliminary insights on potential challenges related to equity in public sector jobs and implications on recruitment processes.

This paper employs the theoretical foundations for subjective well-being to examine the impacts of two underlying dimensions of subjective well-being (psychological well-being and social well-being) on pro-environmental consumption behaviors (PECBs). In this research, the moderating role of exposure to positive environmental messages on media in the relationship between subjective well-being and PECBs is also examined.

This research uses a quantitative research method with data collected from an online survey questionnaire posted in Facebook groups related to PECBs in Vietnam.

Psychological well-being and social well-being are found to be separate significant predictors of PECBs. More importantly, exposure to positive environmental messages on media was found to reinforce the impacts of psychological well-being on PECB but not moderate the relationship between social well-being and PECB.

This research offers a new insight for encouraging PECB from the perspective of subjective well-being. Different from the extant perspectives, which usually examine subjective well-being as a unidimensional antecedent of PECB, the authors highlight that subjective well-being can influence PECB in two separate dimensions. Moreover, this research extends existing literature by accentuating the role of exposure to environmental messages in the association between different types of social well-being and PECB.

Sustainability is regarded as a core value that the coworking movement aspires to. However, most sustainability efforts focus on the providers’ perspective while neglecting the coworking members’ role. Therefore, this paper aims to explore sustainable coworking from the members perspective by focusing on sustainable behaviors.

This study uses a flexible pattern matching approach. Theoretical patterns are identified using literature on coworking space and sustainable behavior while matching them with the empirical data. Data were collected from three different coworking spaces in Sweden through interviews and observations.

Based on the theoretical patterns, three constructs for sustainable coworking were identified, namely, productive behavior, prosocial behavior and responsible space sharing behavior. Through the empirical data, the constructs were further concretized to understand their different aspects. The findings uncovered a new layer of complexity where members can show the same behavior and be perceived differently.

This study offers a more holistic understanding of sustainable coworking by highlighting the members’ role and identifying different member perceptions on sustainable coworking behaviors.

The purpose of the study is to identify the soft skills and abilities that are crucial to success in the fields of operations management (OM) and supply chain management (SCM), using the O*NET database and the classification of a set of professional figures integrating values for task skills and abilities needed to operate successfully in these professions.

The study used the O*NET database to identify the soft skills and abilities required for success in OM and SCM industries. Correlation analysis was conducted to determine the tasks required for the job roles and their characteristics in terms of abilities and soft skills. ANOVA analysis was used to validate the findings. The study aims to help companies define specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the job position.

As a result of the work, a set of soft skills and abilities was defined that allow, through correlation analysis, to explain a large number of activities required to work in the operations and SCM (OSCM) environment.

The work is inherently affected by the database used for the professional figures mapped and the scores that are attributed within O*NET to the analyzed elements.

The information resulting from this study can help companies develop specific assessments and tests for the roles of OM and SCM to measure individual attitudes and correlate them with the requirements of the job position. The study aims to address the need to identify soft skills in the human sphere and determine which of them have the most significant impact on the OM and SCM professions.

The originality of this study lies in its approach to identify the set of soft skills and abilities that determine success in the OM and SCM industries. The study used the O*NET database to correlate the tasks required for specific job roles with their corresponding soft skills and abilities. Furthermore, the study used ANOVA analysis to validate the findings in other sectors mapped by the same database. The identified soft skills and abilities can help companies develop specific assessments and tests for OM and SCM roles to measure individual attitudes and correlate them with the requirements of the job position. In addressing the necessity for enhanced clarity in the domain of human factor, this study contributes to identifying key success factors. Subsequent research can further investigate their practical application within companies to formulate targeted growth strategies and make appropriate resource selections for vacant positions.