Browsing by Author "Dong Z"

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    COVID-19 Lockdown in New Zealand: Perceived Stress and Wellbeing among International Health Students Who Were Essential Frontline Workers
    (MDPI (Basel, Switzerland), 2022-08-06) Jagroop-Dearing A; Leonard G; Shahid SM; van Dulm O; Dong Z; Gorriz JM; Zhang Y
    This study examined the stresses and wellbeing of international postgraduate health and nursing students at a tertiary education institute in New Zealand who were mainly essential frontline healthcare workers during the COVID-19 lockdown. Quantitative and qualitative data were collected by purposeful sampling (n = 43). The study utilised a cross-sectional survey, along with the Short Form of Cohen’s Perceived Stress Scale (PSS-10), adapted for the COVID-19 lockdown, and followed by semi-structured individual interviews. This study is the first in New Zealand to demonstrate that, with a mean PSS-10 score of 21.7 (±7.1), international health students experienced higher than optimal levels of stress, with supporting qualitative data identifying four themes for the sources of stress: (1) familial relationships, (2) essential work, (3) finances, and (4) study. However, these students coped because of the extensive support provided by their education institute and employers. These students played a critical role in the pandemic’s response and made a significant public health contribution by working in the frontline of the COVID-19 outbreak. Considering the global shortage of healthcare workers and understanding the key challenges, means of coping and support provisions, as we have here, offer insights for building and maintaining a resilient and resourceful health workforce through international health and nursing students in New Zealand and elsewhere.
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    Exploring approaches to overcome challenges in adopting human resource analytics through stakeholder engagement
    (Springer Nature Switzerland AG, 2025-02-24) Alam S; Dong Z; Kularatne I; Rashid MS
    As modern enterprises increasingly turn to data-driven decision-making, human resource management (HRM) has also embraced the potential of human resource analytics (HRA) to optimize talent management and gain a competitive edge. However, adopting HRA in practice presents challenges across data governance, technical, and organizational domains. This systematic review, synthesizing insights from 110 studies, identifies key obstacles and practical strategies to address them. Recommendations include fostering a data-driven culture, enhancing training and development, and promoting team collaboration. By tackling these challenges, HR professionals can unlock the full potential of HRA, transforming HRM into a strategic driver of organizational success.