Background and aims: Information and communication technology (ICT) is one of the largest sectors of multinational corporates (MNCs). The information and communication technology sector employs highly skilled expatriates. For instance, 50% of the workforce in the USA and 53% in the Organisation for Economic Co-operation and Development (OECD) countries is represented by these skilled expatriates. Information and communication technology represents a Gross Domestic Product (GDP) of 6.6% per year in Australia (DIGI, 2019), and about USD 11.5 trillion globally (Henry-Nickle et al., 2019), becoming an essential driver of productivity and innovation in the knowledge economies. In this knowledge-based economy, skilled expatriate employees are becoming an expensive commodity in a highly competitive environment, where financial gain has become particularly important and employee wellbeing is not necessarily a prerogative. The fast-paced, aggressive nature of the ICT industry often does not provide employees with the necessary resources and support which is highly costly and detrimental to their success upon arrival in the host country. Recent evidence indicates that significant challenges faced by highly skilled expatriates are related to occupational stress and strain, and this leads to adjustment difficulties in the host nation, which is the primary reason for expatriate failure. Besides sociocultural adjustment issues, i.e., the capacity to ‘fit in,’ recent research indicates that expatriates are increasingly experiencing low psychological adjustment, resulting in mental health issues. Examining psychological adjustment among expatriates is particularly important due to the unique challenges that they experience in the host country. Therefore, advancing our understanding of the role that psychological adjustment plays in expatriate success is crucial. Thus, in this thesis I examine the role of job characteristics on psychological strain and how these in turn affect work and behavioural outcomes via the job demand-resources model.