Search results

With the ongoing catastrophe of the COVID-19 pandemic, the world seems to have come to a standstill. Daily living routines, work, and schools predominantly launched into a state of confusion, and people across the globe excessively find ways to cope with their experiences of this traumatic disaster. Concerning schools, the pandemic has dramatically challenged the education system with teaching and learning processes managed remotely, utilising online platforms. This paper explores university students’ perception of online learning, specifically during the outbreak of the COVID-19 pandemic, to uncover how they respond to this ‘new normal’ digital mode of teaching and learning and how they seek to regain control over the sudden shift in their lives. Through interviews with students from Universiti Darussalam (UBD) and Universiti Islam Sultan Sharif Ali UNISSA, this original article reveals students’ transformative behaviours during online learning, and institutional supports that contribute to the shaping of students' online learning experiences in Brunei.

Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.