Ian Seymour Yeoman, Heike A. Schänzel and Elisa Zentveld
Because of COVID-19, tourist behaviour has changed with a range of trends becoming more prominent. This paper sets out to explain the dominance of family tourism in New Zealand's…
Abstract
Purpose
Because of COVID-19, tourist behaviour has changed with a range of trends becoming more prominent. This paper sets out to explain the dominance of family tourism in New Zealand's domestic markets and the trends associated with it.
Design/methodology/approach
This paper is based upon secondary data from academic literature, industry reports, news media and webinars associated with New Zealand during COVID-19, starting in March 2020.
Findings
The paper explains the rise of family tourism in New Zealand during COVID-19 based upon the consumer behaviour trends of: (1) Simplicity: In search of slow; (2) Mercurial consumption; (3) Localism; (4) Staycation; (5) Healthy habits; and (6) Is it safe to come out?
Originality/value
The usefulness of this paper is derived from explaining why the rise of family tourism occurred based upon the identified trends.
Details
Keywords
Daria Soldatenko, Elisa Zentveld and Damian Morgan
To succeed in a competitive tourist market and attract more foreign tourists, it is essential to have a clear understanding of what travellers are seeking and endeavour to meet…
Abstract
Purpose
To succeed in a competitive tourist market and attract more foreign tourists, it is essential to have a clear understanding of what travellers are seeking and endeavour to meet those needs, as well as key influential factors in their travel decision-making process. The purpose of the study is to develop and examine tourists’ pre-trip motivational model using the push–pull theory.
Design/methodology/approach
A tourists’ pre-trip motivational model was developed and then tested based on a sample of 320 Chinese and non-Chinese visitors to Melbourne, Australia, to assess the suitability of the new model. Data were analysed by descriptive and inferential statistical techniques, such as principal component analysis and independent T-tests.
Findings
The analysis revealed statistically significant differences between studied samples in terms of the push and pull factors. In comparison with non-Chinese tourists, Chinese visitors to Melbourne assigned higher importance to resting and relaxing opportunities, family-oriented activities, as well as safety and a high level of service. The identified differences should be reflected in marketing and promotional activities provided to Chinese and non-Chinese travellers.
Practical implications
The study provides useful information for Destination Marketing Organisations in tourism cities wanting to develop specifically customised tourist products, services and promotion programs tailored to each market.
Originality/value
The proposed extended push–pull model represents a holistic and complex model of the travel decision-making process with the multiple linkages between motivations for travelling, preferences of destination attributes, information source usage, trip expectations, possible constraints for travelling and evaluation of destination choice criteria. Understanding all these factors, their relationship and their influence on the final destination choice is a prerequisite for effective and successful actions on attraction and retention of visitors for all tourist destinations. The developed tourists’ pre-trip motivational model may be used as a conceptual framework to guide subsequent motivational studies in tourism.
Details
Keywords
Ian Seymour Yeoman, Heike A. Schänzel and Elisa Zentveld
The COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand…
Abstract
Purpose
The COVID-19 pandemic is considered a “once in a century” public health shock that, at the time of writing, continues to have a profound impact on global tourism and New Zealand. The paper aims to assess how consumer behaviour trends changed using a trends analysis framework.
Design/methodology/approach
Positioning the paper in the prognosis–prediction paradigm from futures studies and using a trend analysis approach, the authors forecasted a series of tourist trends at the beginning of COVID-19 based upon a multitude of sources trends. Then, 12 months later, they reported on the accuracy of these forecasts.
Findings
The matrix identifies 15 trends based upon consumer behaviour changes, which are either dominant, slowed, advanced or arrested. The prognosis was largely correct, which was supported by evidence gathered 12 months later.
Research limitations/implications
The paper uses a series of different data sources to reflect on the initial forecasts. To some, this may be an issue of rigor, but the authors argue that through triangulation, credibility and validity are increased.
Originality/value
First, the evaluation matrix allows users to make sense of COVID-19 based upon the concepts of dominant, slowed, advanced or arrested trends. Second, the matrix allows users to evaluate changes and movement of trends. Third, the trends featured in this paper could be generalisable to several different circumstances associated with simple identity. Fourth, this paper has tested the ability to predict trends in an uncertain environment within the context of the ontological paradigm of prognosis and prediction of futures states.