Studies across the social sciences are making increasing use of an evolutionary perspective. Yet, despite its potential, the application of evolutionary psychology in tourism research is scant. Evolutionary psychology is arguably one of the most useful approaches to understanding the effects of the Coronavirus pandemic on the tourist's psyche. This research highlights, explains, and empirically demonstrates the vast untapped potential of this perspective for post-COVID-19 tourism research. The authors develop an
Evolutionary Tourism Paradigm
, which is based on biological epistemology and theory to address questions in post-COVID-19 tourism research. This paradigm is brought to life through a developed ocean and islands model, and its utility for future research endeavors on the Coronavirus pandemic is empirically demonstrated in two studies.
After a prolonged period of growth, driven, in part, by an increasing number of affluent consumers, the international tourism industry is now suffering the effects of a weaker world economy. These tougher market conditions have, in turn, led to increasing competition. As a result, countries, their tourism industries, and tourism businesses seek to improve the performance of the tourism industry and its constituents by vigorously promoting themselves to international tourists, cutting costs, and identifying synergies in their tourism endeavors. In seeking to improve the tourism industry, the determinants that affect tourism performance are of key interest to the stakeholders. A key obstacle toward improving performance is the multitude of determinants that can affect tourism performance. The literature has yet to provide concrete insights into the determinants of tourism performance and their relative importance. The present study addresses this important gap. We identify and rank the determinants of tourism performance. We also provide performance measures of international tourism destinations. The results are derived using the Data Envelopment Analysis (DEA) and bootstrap truncated regression models. The study also discusses the implications of the findings and highlights their importance to both the academic literature and the international tourism industry.
The authors propose a customer-based brand equity model for use in global branding efforts and research, based on a series of qualitative and quantitative studies. They find new dimensions of brand equity that need to be considered by lodging researchers and operators. Components of brand equity generated from literature review and focus groups are ordered in theoretical relationships and the model structure is assessed against rival structures. The model is tested with data collected from travelers in 12 major cities in China and validated across several subgroups of travelers. Results support the validity and reliability of the proposed model.
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