Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Yang WSubject: search.filters.subject.New Zealand

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    An explorative analysis of gameplay data based on a serious game of climate adaptation in Aotearoa New Zealand
    (Elsevier B.V., 2025-08-27) Yang W; Harrison S; Blackett P; Allison A
    Serious games play a crucial role in educating and engaging the public on environmental management issues, such as climate change. These games also generate valuable data that can be used in understanding players' climate change decisions. However, there is a notable gap in the literature on serious game analytics to address the significance of scrutinising the usefulness of utilising gameplay data to explore player behaviours. This paper explores this gap through descriptive and quantitative analysis of gameplay data from ‘The Township Flooding Challenge’ in Aotearoa New Zealand to obtain data insights and data gaps in understanding players' behaviours and decisions on climate change adaptation. The findings suggest that gameplay data can offer insights into players' decisions on climate change adaptations amid uncertainty, but also highlights data gaps such as unclear definitions and incomplete data. Leveraging gameplay data can aid in data collection, decision-making modelling, and improving serious game design.
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    Factors affecting online shopping frequency: lessons from New Zealand.
    (Springer Nature, 2022-05-04) Ma W; Gan C; Vatsa P; Yang W; Zheng H
    During the COVID-19 pandemic lockdown, the number of people shopping online has increased worldwide, and New Zealand is no exception. To date, little is known about the online shopping behaviours of New Zealanders in a pandemic environment. This paper provides the first attempt by exploring the factors affecting online shopping frequency in New Zealand, a country widely regarded as a paragon of excellence for containing the COVID-19 pandemic. A Poisson regression model is utilized to analyze data collected through an online survey between July and November 2020. The empirical results show that people's online shopping frequency is positively affected by payment convenience, competitive pricing, living in the city, and the number of children. The perceived effectiveness of the government's action in combating COVID-19, having poor past online shopping experiences, and being married reduce online shopping frequency.