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This paper aims to examine the antagonistic coexistence of different tourism imaginaries in global post-viral social landscapes. Such antagonisms may be resolved at the expense of the ethics of tourism mobility, if not adjudicated by post-human reflexivity. Currently, unreflexive behaviours involve the refusal to conform to lifesaving “stay-at-home” policies, the tendency to book holidays and the public inspection of death zones.

Each of the consumption styles explored in this paper to discuss post-COVID-19 tourism recovery corresponds to at least one tourist imaginary, antagonistically placed against social imaginaries of moral betterment, solidarity, scientific advancement, national security and labour equality. A multi-modal collection of audio-visual and textual data, gathered through social media and the digital press, is categorised and analysed via critical discourse analysis.

Data in the public domain suggest a split between pessimistic and optimistic attitudes that forge different tourism futures. These attitudes inform different imaginaries with different temporal orientations and consumption styles.

COVID-has exposed the limits of the capacity to efficiently address threats to both human and environmental ecosystems. As once popular tourist locales/destinations are turned by COVID-2019s spread into risk zones with morbid biographical records their identities alter and their imaginaries of suffering become anthropocentric.

Using Castoriadis’ differentiation between social and radical imaginaries, Foucault’s biopolitical analysis, Sorokin’s work on mentalities and Sorel’s reflections on violence, the author argue that this paper has entered a new phase in the governance and experience of tourism, which subsumes the idealistic basis of tourist imaginaries as cosmopolitan representational frameworks under the techno-cultural imperatives of risk, individualistic growth through the adventure (“edgework”) and heritage preservation. This paper also needs to reconsider the contribution of technology (not technocracy) to sustainable post-COVID-19 scenarios of tourism recovery.

Following the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and to identify directions for future work. Specifically, this study details implications for service theory and practice.

Systematic selection and analysis of 279 papers from the existing literature, published between 1996 and 2020.

The literature review identified four key themes: business models, drivers and barriers, customer behavior, and vehicle balancing.

For managers, the study illuminates the importance of collaboration among stakeholders within the automotive sector for purposes of widening their customer base and maximizing utilization and profits. For policy makers, their important role in supporting carsharing take-off is highlighted with emphasis on balancing support rendered to different mobility services to promote mutual success.

This is the first systematic multi-disciplinary literature review of carsharing. It integrates insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.

This paper aims to study the automotive 4.0 context to understand the consumers’ propensity towards high-tech automated cars. The paper analyses the antecedents that lead to the use of innovative vehicles. Theory of planned behaviour (TPB) is adopted and extended by including further constructs, such as environmental aspects and inhibitors.

The advent of smart technologies and the internet of things has given rise to several contributions that look at consumers’ intention towards innovation adoption in the automotive industry. Furthermore, this study rises from the growing interest that sustainable mobility achieved. Based on the previous technology acceptance models and particularly TPB, this paper develops a structured questionnaire. After a pilot survey, the final questionnaire was administered online through email and social media in the Italian context. Structural equation modelling technique has been used for analysing data and testing the conceptual model.

The number of questionnaires filled out was 310, with a sample composed of young adults, characterised by different addiction levels towards technology. The results explain the drivers that lead to accept and adopt high-tech automated vehicles. This topic is still under investigation and offers potential research opportunities, considering the evolution of the market and the consumers’ habits and needs. Future research studies in this area should focus on generalising the present findings in other countries. Moreover, once this technology starts to be adopted, other constructs could be discovered, investigated and included in the model.

Mobility has raised a growing interest with the fast increasing demand for sustainability and growth of innovative solutions embedded in mobility. This research explores the TPB model’s application and the relation between its constructs, environmental aspects, inhibitors and intention to adopt automated vehicles. On this strength, it is possible to identify each construct’s relevance for obtaining social consensus on the market.

In order to address the gender divide in technology entrepreneurship, we explore how different national contexts impact policies and policy implementation. We investigate how transnational concerns (macro level) about women’s low participation in (technology) entrepreneurship are translated and implemented amongst actors at the meso level (technology incubators) and understood at the micro level (women tech entrepreneurs).

We adopt gender institutionalism as a theoretical lens to understand what happens in the implementation of gender equality goals in technology entrepreneurship policy. We apply Gains and Lowndes’ (2014) conceptual framework to investigate the gendered character and effects of institutional formation. Four countries represent different levels of gender equality: high (Norway and Sweden), medium (Ireland) and low (Israel). An initial policy document analysis provides the macro level understanding (Heilbrunn et al., 2020). At the meso level, managers of technology business incubators (n = 3–5) in each country were interviewed. At the micro level, 10 female technology entrepreneurs in each country were interviewed. We use an inductive research approach, combined with thematic analysis.

Policies differ across the four countries, ranging from women-centred approaches to gender mainstreaming. Macro level policies are interpreted and implemented in different ways amongst actors at the meso level, who tend to act in line with given national policies. Actors at the micro level often understand gender equality in ways that reflect their national policies. However, women in all four countries share similar struggles with work-life balance and gendered expectations in relation to family responsibilities.

The contribution of our paper is to (1) entrepreneurship theory by applying gendered institutionalism theory to (tech) entrepreneurship, and (2) our findings clearly show that the gendered context matters for policy implementation.

Backpackers can be found all over the world, especially in urban areas where the main enclaves are established. The purpose of this paper is to discuss the operationalisation of the term “backpacker” and present a proposal to conceptualise backpackers and backpackers’ segments based on the operational criteria available in literature to avoid incongruities among researchers.

Based on a literature review, this study provides a critical review of the backpacker conceptualisation and operationalisation using a methodology divided into three phases, a quantitative analysis based on the Scopus database and a bibliometric analysis coupled with a manual analysis of documents (content analysis).

Substantial heterogeneity and complexity regarding the conceptualisation of backpacker tourism and its diversified subsegments were evident. For this reason, this paper argues that backpacker tourism can and should continue to be analysed from different perspectives, suitably framed in the theoretical instrument constructed to identify and distinguish the different subsegments through its operationalisation features.

This study provides a practical contribution to all researchers interested in the topic of backpackers proposing the operationalisation of the term backpacker and it subsegments to avoid disparate results and deviations. This contribution will enable the correct and objective assessment of the operationalisation of this concept for researchers, managers and destination management organisations, identifying exactly what phenomenon is to be studied.

The aim of the study is to examine the effect of public attitude on petty corruption.

This is a survey study on customers of a licenses providing authority (N = 390) in Cairo, Egypt. The authors use Akers social learning theory of crime and deviance and take into consideration criticisms of it. The authors control for individual and organizational level determinants that are identified by scholars as influencing people's attitudes toward corruption and which could be known through the authority customers' experiences. Because the dependent variable is binary, whether a person paid a bribe during last transaction with this authority or not, the authors use binary logistic regression.

The findings indicate that people are more likely to engage in petty corruption when they see it as acceptable, have previous petty corruption experience and when they use a mediator. Also, of those who dealt with that civil service authority during and directly after the 25th of January Revolution (N = 161) 31% reported that they did not engage in petty corruption in comparison to previous years. They referred this to a change in attitude at the time.

The policy implications of the research are important. Social science theories could generate cultural and policy relevant solutions for petty corruption; however, they have not been taken full advantage of. Also, experience-based country-specific corruption survey studies are important input for an effective anti-corruption policy.

Covid-19 pandemic is a unique and extraordinary situation for the globe, which has potentially disrupted almost all aspects of life. In this global crisis, the tourism and hospitality sector has collapsed in almost all parts of the world, and the same is true for India. Therefore, this paper aims to investigate the impact of Covid-19 on the Indian tourism industry.

This study develops an appropriate model to forecast the expected loss of foreign tourist arrivals (FTAs) in India for 10 months. Since the FTAs follow a seasonal trend, seasonal autoregressive integrated moving average (SARIMA) method has been employed to forecast the expected FTAs in India from March 2020 to December 2020. The results of the proposed model are then compared with the ones obtained by Holt-Winter's (H-W) model to check the robustness of the proposed model.

The SARIMA model seeks to manifest the monthly arrival of foreign tourists and also elaborates on the progressing expected loss of foreign tourists arrive for the next three quarters is approximately 2 million, 2.3 million and 3.2 million, respectively. Thus, in the next three quarters, there will be an enormous downfall of FTAs, and there is a need to adopt appropriate measures. The comparison demonstrates that SARIMA is a better model than H-W model.

Several studies have been reported on pandemic-affected tourism sectors using different techniques. The earlier pandemic outbreak was controlled and region-specific, but the Covid-19 eruption is a global threat having potential ramifications and strong spreading power. This work is one of the first attempts to study and analyse the impact of Covid-19 on FTAs in India.