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This viewpoint engages with Jem Bendell’s deep adaptation framework which was developed as a response to the threat of collapse. Proponents of deep adaptation argue that societal collapse is either likely, inevitable or already underway. The deep adaptation framework is employed as a tool to contemplate the necessary adaptation of tourism development and planning in a context of polycrisis leading to collapse.

This is a conceptual viewpoint article that is built on deductive analysis of recent events, reports and scientific findings. It employs the deep adaptation framework to analyse possible alternative tourism futures in the face of the threat of collapse.

Bendell’s framework included four aspects of response to the recognition of the threat of collapse: resilience, relinquishment, restoration and reconciliation. In this work, the deep adaptation framework is employed to analyse what a deep adaptation approach to tourism might offer for efforts in securing optimal social and ecological outcomes. Findings highlight damaging activities that we should relinquish, more resilient approaches that communities could encourage and restorative practices such as rewilding and pluriversal economies as protective measures. This work recommends a precautionary approach to transform tourism education, research and practice in order to secure better tourism futures.

This work is novel in engaging with the threat of future collapse and in using the deep adaptation framework to consider alternative tourism futures.

This study aims to investigate the variation in overvaluation proxies and volatility across industry sectors and time.

Using industry sector data from the S&P Capital IQ database, this study applies traditional cross-sectional regressions to investigate the relationship between overvaluation and volatility over the 2001–2020 time period.

This study finds that the most volatile industry sectors generally do not coincide with overvalued industry sectors in the cross-section, implying that there are limitations to price-multiple methods for forecasting future volatility. Rather, this study finds that historical volatility significantly increases the goodness-of-fit when modeling volatility in the cross section of industry sectors. The findings of this study imply that firms should increase disclosures and transparency about corporate practices to decrease downside risk that stems from bad news. In addition, the findings underline the consistency between market efficiency and high levels of volatility in periods of significant uncertainty.

This study proposes a novel approach to examining the cross section of volatility across time for industry sectors.

This study aims to explore the most salient contributors to residents' support for tourism. As such, the authors measure residents' fear and risk of coronavirus disease 2019 (COVID-19) and residents' animosity towards tourists as predictors of attitudinal, intentional and behavioural support for tourism in China, Malaysia, Kazakhstan and Iran.

An online survey of 1,318 respondents across four countries was conducted, with data analysed using structural equation modelling.

This study shows that residents' perceptions about tourism development vary in different countries based on the impact of COVID-19, even though some factors, such as perceived risk and fear of COVID-19, have a similar effect on residents' attitudes and intentions to support tourism.

Only residents from four countries participated due to the collaborative effort of researchers from these specific countries.

Insight into residents' perceptions and responses to COVID-19 can aid policymakers and managers in developing effective crisis recovery strategies.

The data from this study can serve as a foundation for future research to examine residents' attitudes and support towards tourism during the post-COVID-19 period.

Unlocking the unrevealing of residents' perceptions and coping mechanisms towards tourists during the pandemic, this research shines a light on their crucial role in the revival of the tourism industry. With an exclusive focus on residents' attitudes and behaviours, this study stands out amongst the few that delve into this crucial aspect of post-pandemic recovery.

There has been a move towards the implementation of digital/e-health interventions for some time. Digital/e-health interventions have demonstrable efficacy in increasing individual empowerment, providing timely access to psychological interventions for those experiencing mental ill-health and improving outcomes for those using them. This study aims to determine the efficacy of digital/e-health interventions for individuals detained in prison who experience mental ill-health.

A systematic search of five academic databases – CINAHL, ASSIA, PsycINFO, Embase and Medline – was completed in December 2020 and updated in February 2022. The review was guided by the Whittemore and Knafl (2005) framework for integrative reviews. A total of 6,255 studies were returned and screened by title and abstract. A full-text screening of nine (n = 9) studies was conducted.

No study met the inclusion criteria for the clinical efficacy of digital/e-health interventions in a prison setting. Subsequently, a review of the literature that made it to the full-text review stage was conducted, and gaps in the literature were identified to inform policy, practice and future research.

To the best of the authors’ knowledge, this is the first integrative review conducted on the efficacy of digital/e-health interventions for mental ill-health in prison settings.

IT security compliance is critical to the organization’s success, and such compliance depends largely on IT leadership. Considering the prevalence of unconscious gender biases and stereotyping at the workplace and growing female leadership in IT, the authors examine how the internalization of stereotype beliefs, in the form of the employee’s gender, impacts the relationships between leadership characteristics and IT security compliance intentions.

A controlled experiment using eight different vignettes manipulating Chief Information Officer (CIO) gender (male/female), Information Technology (IT) expertise (low/high) and leadership style (transactional/transformational) was designed in Qualtrics. Data were gathered from MTurk workers from all over the US.

The findings suggest that both CIOs' and employees' gender play an important role in how IT leadership characteristics – perceived expertise and leadership style – influence the employees' intentions and reactance to comply with CIO security recommendations.

This study's findings enrich the security literature by examining the role of leadership styles on reactance and compliance intentions. They also provide important theoretical implications based on gender stereotype theory alone: First, the glass ceiling effects can be witnessed in how men and women employees demonstrate prejudice against women CIO leaders through their reliance on perceived quadratic CIO IT expertise in forming compliance intentions. Secondly, this study's findings related to gender role internalization show men and women have a prejudice against gender-incongruent roles wherein women employees are least resistive to transactional male CIOs, and men employees are less inclined to comply with transactional female CIOs confirm the findings related to gender internationalization from Hentschel et al. (2019).

This study highlights the significance of organizations and individuals actively promoting gender equality and fostering environments that recognize women's achievements. It also underscores the importance of educating men and women about the societal implications of stereotyping gender roles that go beyond the organizational setting. This research demonstrates that a continued effort is required to eradicate biases stemming from gender stereotypes and foster social inclusion. Such efforts can positively influence how upcoming IT leaders and employees internalize gender-related factors when shaping their identities.

This study shows that more work needs to be done to eliminate gender stereotype biases and promote social inclusion to positively impact how future IT leaders and employees shape their identities through internalization.

This study redefines the concept of “sticky floors” to explain how subordinates can hinder and undermine female leaders, thereby contributing to the glass ceiling effect. In addition, the study elucidates how gender roles shape employees' responses to different leadership styles through gender stereotyping and internalization.

Advertisements for dietary supplements (DS) often include misleading claims regarding their health benefits. In this study, the authors designed an online advertisement for plant-based DS featuring misleading claims and investigated its effects on mature Chinese consumers before and after revealing the false claims. A consumer involvement framework was developed to evaluate the mediating effect of advertising involvement (AI) on the correlation between product involvement (PI), situational involvement (SI) and purchase intention (PI).

A total of 467 mature adults aged over 40 years who resided in China's Yangtze River Delta region and had experience in purchasing DS online were recruited. Relevant data were collected through an online survey and analysed through structural equation modelling.

Cognitive PI was positively correlated with both SI and PI and SI was positively correlated with PI. AI negatively moderated the correlation between affective PI and SI. Both cognitive PI and AI were positively correlated with PI and the correlation was mediated through SI.

DS consumption is a rational decision-making process driven by utilitarian motives. Consumers who are aware of the misleading claims adopt a cautious evaluation approach and place themselves in specific purchase situations before making a purchase decision. This study advances the literature by incorporating the consideration of misleading advertisements into the consumer involvement model within the context of online DS consumption. The study's findings provide insights to intensify monitoring of false advertisements in the DS industry and design effective consumer education programmes.