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Geopolitics is shaping the international education landscape. International education has trationally been used as a tool to boost transnational cooperation, foster multilateral and global ties, and reduce tensions between nations. Such a role has been eroded and international education has been weaponised in the context of escalating political turbulences and disputes over the COVID-19 pandemic. In particular, the relationship between Australia and China, with international student flows interrupted due to COVID-19, is overshadowed by escalating geopolitical tensions in the Indo-Pacific region. Based on a qualitative study, this article examines stakeholders' views on the responses of the Australian international education sector and universities to emerging geopolitical tensions. The conjuncture of geopolitics, COVID-19 and Australia's former government responses magnified a sense of crisis for universities and the international education sector as it was at risk because of their financial reliance on international students. Based on the findings, recommendations are made for the framing of a reciprocal, coordinated, responsive and empathetic international education sector to mitigate geopolitical risks and ensure more sustainable and ethical development for the sector.

Abstract: Modeling MCDM requires the simultaneous consideration of multiple criteria but traditional statistical techniques can only evaluate these factors independently. As such, it is vital for managers to have a clear picture of customers'' preferences in order to design more focused marketing strategies; whereas the existing body of work is unable to meet such a requirement. To tackle these challenges, we introduce a new technique based on deploying an aggregation function, the Choquet Integral (CI), in the tourism context. Focusing on a case study of the Hong Kong hotel industry, we demonstrate how this technique can be used to discover the preferences among travelers that affect their hotel selections. A set of criteria based on these preference profiles is then constructed. The findings are expected to benefit tourism managers worldwide. [Copyright &y& Elsevier]

Abstract: With the widespread use of Internet technology, electronic word-of-mouth [eWOM] communication through online reviews of products and services has a strong influence on consumer behavior and preferences. Although prior research efforts have attempted to investigate the behavior of users regarding the sharing of personal experiences and browsing the experiences of others online, it remains a challenge for business managers to incorporate eWOM effects into their business planning and decision-making processes effectively. Applying a newly proposed association rule mining technique, this study investigates eWOM in the context of the tourism industry using an outbound domestic tourism data set that was recently collected in Hong Kong. The complete profiles and the relations of online experience sharers and travel website browsers are explored. The empirical results are useful in helping tourism managers to define new target customers and to plan more effective marketing strategies. [Copyright &y& Elsevier]

Abstract: Despite the numerous research endeavors aimed at investigating tourists’ preferences and motivations, it remains very difficult for practitioners to utilize the results of traditional association rule mining methods in tourism management. This research presents a new approach that extends the capability of the association rules technique to contrast targeted association rules with the aim of capturing the changes and trends in outbound tourism. Using datasets collected from five large-scale domestic tourism surveys of Hong Kong residents on outbound pleasure travel, both positive and negative contrasts are identified, thus enabling practitioners and policymakers to make appropriate decisions and develop more appropriate tourism products. [Copyright &y& Elsevier]