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The purpose of this study is to understand the potential of serious gaming as an imaginative and creative method to collect data in disaster studies that address key concerns such as extractive research, power inequalities, and bridging the theory-practice gap in exploring post-disaster recovery.

Novel serious gaming approach deployed to connect theory-practice by identifying and co-analysing post-disaster recovery gaps in a workshop setting.

The serious game has value in bridging theory-practice divides, identifying and exploring gaps/solutions in post-flood recovery, and serving as a novel social science research approach for disaster studies.

Outlining a dialogic approach to knowledge construction between academics, practitioners, policymakers and community voices on post-disaster recovery.

Fostering collaboration and knowledge construction on post-disaster recovery gaps across stakeholders is valuable in improving disaster resilience strategies that benefit communities affected by disasters.

The paper proposes a creative and co-developed serious game method of data collection for disaster studies.

Using data from 1820 onwards in a group of seven countries, namely, Australia, Chile, Denmark, France, the UK, Italy and the USA, the authors investigate if there is a long-run equilibrium relationship between the two variables (GDP and population).

Using fractional integration and cointegration methods, this paper deals with the analysis of the relationship between GDP and population using historical data.

The authors’ results show first that the two series are highly persistent, presenting orders of integration close to or above 1 in practically all cases. Testing cointegration between the two variables, the results are quite variable depending on the methodology and the bandwidth numbers used, but if cointegration takes places, it only occurs in the cases of France, Italy and the UK.

The fact that the orders of integration of all series is close to 1 indicate high levels of persistence with shocks having permanent effects and requiring strong measures to recover the original trends.

Any shock affecting the series will have a permanent nature, persisting forever.

Updated time series techniques based on concepts such as fractional integration and cointegration are used.

Traditionally health care research is often valued on the evidence‐based basis, which is dominated by statistically motivated quantitative research. However, the increasingly popular use of qualitative methods in general and health research, in particular, has provided a different kind of research evidence, which reflects real‐life issues in social contexts. Though health care qualitative research has provided health care workers, policymakers and the public valuable insights into various aspects of population health, there are issues and problems regarding conducting qualitative research in an intercultural discourse. Sociolinguistic and cultural factors are the main causes of problems facing researchers and policymakers. Concepts such as confidentiality and security are culturally constructed. This paper examines some intercultural awareness issues that need to be considered in the conduct of health care qualitative research and some potential problems in the treatment of health qualitative data. Attention will be given to the Vietnamese health discourse.

The sudden outbreak of COVID-19 has led in a very short time to a worldwide pandemic that has had severe effects on both businesses and daily lives. In a scenario characterised by the social distancing imperative, the sharing economy found itself struggling to survive, deprived of its core asset, namely, peer (human) relationships. The purpose of this paper is to reveal the coping strategies that have been implemented by sharing economy platforms to navigate the pandemic.

An explorative empirical investigation of 20 sharing economy platforms was carried out during the first lockdown phase (March–June 2020). To drive the analysis, a theoretical framework was developed by merging the literature on the business model and crisis management strategies.

The answers provided by sharing economy platforms to the health crisis caused by the COVID-19 pandemic have been classified into nine typologies of intervention according to the developed framework, with illustrative examples.

This paper provides an empirical investigation into the impact of the COVID-19 pandemic on the sharing economy field and it offers evidence about the immediate reactions of sharing platforms to the health crisis effects. The paper also introduces a framework about business model and crisis management strategies as a conceptual tool that could be adopted by firms from other industries.