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The purpose of this study is to gain a deeper understanding on if and how hotel senior managers (HSMs) in four-star chain hotels in London and Stockholm implemented crisis management techniques (CMTs) as a response to the economic impacts of the COVID-19 pandemic in 2020.

Qualitative questionnaires were sent to 30 HSMs in London and Stockholm. From the feedback, this paper assesses, using thematic analysis, differences in CMTs used, past and present, alluding to COVID-19’s economic impacts on hotels.

Results determined that crises broadly economically impacted destinations similarly through loss of travellers and thus revenue. However, with a more intricate and specific assessment, destinations are impacted differently; thus, CMTs must alter. Findings show many CMTs can be implemented to reduce crises’ economic impacts. The literature review and empirical results allude to many previous and current CMTs, although these must be relevant and specific to the crisis, hotel and/or destination.

This paper has theoretical implications for academics on, among other things, theory building. Practically, it supports hotels in developing and determining CMTs to reduce the economic impacts of crises, to be better prepared when another pandemic emerges and contributes to the tourism and hospitality industry’s knowledge of management strategy within crises.

To the best of the authors’ knowledge, this is the first Swedish study focusing on post-COVID-19 crisis management in hotels in London and Stockholm.

The purpose of this paper is the better understanding of the increasing relation between big data 2.0 and neuromarketing, particularly to influence election outcomes, along with a special aim to discuss some raised doubts about Trump’s presidential campaign 2016 and its ability to hijack American political consumers’ minds, and to direct their votes.

This paper combines deductive/inductive methodology to define the term of political neuromarketing 2.0 through a brief literature review of related concepts of big data 2.0, virtual identity and neuromarketing. It then applies a single qualitative case study by presenting the history and causes of online voter microtargeting in the USA, and analyzing the political neuromarketing 2.0 mechanisms adopted by Trump’s political campaign team in the 2016 presidential election.

Based on Trump’s political marketing mechanisms analysis, the paper believes that big data 2.0 and neuromarketing techniques played an unusual role in reading political consumers’ minds and helping the controversial candidate to meet one of the most unexpected victories in the presidential elections. Nevertheless, this paper argues that the ethics of using political neuromarketing 2.0 to sell candidates and its negative impacts on the quality of democracy are and will continue to be a subject of ongoing debates.

The marriage of big data 2.0 and political neuromarketing is a new interdisciplinary field of inquiry. This paper provides a useful introduction and further explanations for why and how Trump’s campaign defied initial loss predictions and attained victory during this election.