168 results match your criteria: "University of Sydney Business School.[Affiliation]"

In Australia, the response to HIV, hepatitis C and hepatitis B has largely been through the constructed category of 'blood borne viruses' which treats these viruses as an interconnected set of conditions with respect to their mode of transmission. In this paper, we explore how people understand their viral infection, and compare the logics underpinning these different understandings. In-depth interviews were conducted with 61 participants who were either living with a blood borne virus or were the family members of people living with them.

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There exists a substantial amount of research on the impact that the COVID-19 pandemic has had on significant changes in the location at which work takes place, especially working from home (WFH). There has been, however, very little systematic consideration given to the relationship between the substantial increase in WFH and the responses taken by organisations in reviewing their office (workspace) capacity needs in the future, including a switch of the mix of utilising workspace in the main office(s) and satellite office locations. The main aim of this paper is to explore the extent to which levels of working from home and increased use of rented satellite office space will be linked to changes in the amount of workspace required at the main office that was used pre-COVID-19.

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As the online world plays an increasing role in young peoples' lives, research on compulsive internet use (CIU) is receiving growing attention. Given the social richness of the online world, there is a need to better understand how CIU influences adolescents' social support and vice versa. Drawing on ecological systems theory, we examined the longitudinal links between adolescents' CIU and perceived social support from three sources (parents, teachers, and friends) across 4 critical years of adolescence (Grades 8-11).

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Adaptive graph convolutional clustering network with optimal probabilistic graph.

Neural Netw

December 2022

Beijing Key Laboratory of Multimedia and Intelligent Software Technology, Beijing Artificial Intelligence Institute, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China. Electronic address:

The graph convolutional network (GCN)-based clustering approaches have achieved the impressive performance due to strong ability of exploiting the topological structure. The adjacency graph seriously affects the clustering performance, especially for non-graph data. Existing approaches usually conduct two independent steps, i.

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Existing research has linked emotional intelligence (EI) with intrinsic emotion regulation (processes people use to regulate their own emotions). However, there has not yet been an empirical examination of whether EI abilities relate to extrinsic emotion regulation (processes people use to regulate other people's emotions). This study (N = 178 undergraduates) examines whether ability EI (as measured by the Mayer-Salovey-Caruso Emotional Intelligence Test) correlates with eight extrinsic regulation processes (as measured by the Regulation of Others' Emotions Scale, including downward comparison, expressive suppression, humour, distraction, direct action, reappraisal, receptive listening and valuing).

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This study empirically identifies business travellers' preferences during the COVID-19 pandemic across different regions. A stated preference study was conducted during April to June 2021 on respondents in the U.S.

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Despite the significant fluctuations in global trend due to the rising trade friction and the COVID19 pandemic, the container terminals are continuously working in three technology areas including automation, electrification and digitalization. This study reviewed recent technology trends as well as relevant research topics related to the container terminals, and investigated how the trends and topics would facilitate the terminals to achieve their strategic objectives. We also studied the trends in the container terminal industry before and after the pandemic outbreak.

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Background: We developed a smartphone app-the SUCCESS (Supporting Culturally and Linguistically Diverse CKD Patients to Engage in Shared Decision-Making Successfully) app-to support Australian adults with kidney failure undertaking dialysis to actively participate in self-management and decision-making. The content of the SUCCESS app was informed by a theoretical model of health literacy that recognizes the importance of reducing the complexity of health information as well as providing skills necessary to access, understand, and act on this information.

Objective: The purpose of this study is to investigate the efficacy of the SUCCESS app intervention.

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During the year 2020, the COVID-19 pandemic affected mobility around the world, significantly reducing the number of trips by public transport. In this paper, we study its impact in five South American capitals (i.e.

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This study quantifies the effects of health control measures at the airport on passenger behaviour related to business travel. A stated preference survey was conducted over potential air travellers in Hong Kong in the context of COVID-19 pandemic. Panel latent class models were estimated to understand passenger preference toward new travel requirements given the applicability of online meeting.

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Published choice experiments linked to various aspects of the COVID-19 pandemic are analysed in a rapid review. The aim is to (i) document the diversity of topics as well as their temporal and geographical patterns of emergence, (ii) compare various elements of design quality across different sectors of applied economics, and (iii) identify potential signs of convergent validity across findings of comparable experiments. Of the N = 43 published choice experiments during the first two years of the pandemic, the majority identifies with health applications (n = 30), followed by transport-related applications (n = 10).

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The impact of flooding on firm performance and economic growth.

PLoS One

July 2022

Discipline of Finance, University of Sydney Business School, The University of Sydney, Sydney, NSW, Australia.

Using comprehensive flood data from China, we find a significant, negative impact of flooding on firm performance, which is mainly driven by unexpected flooding. We use multiple identification strategies to address endogeneity concerns and find that the documented impact of flooding on firm performance is likely causal. The impact is more pronounced for firms with more tangible asset investment, firms located in cities with low government quality, firms facing tight financial constraints, firms controlled by non-government entities and firms with low geographic diversification.

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Many psychological experiments have subjects repeat a task to gain the statistical precision required to test quantitative theories of psychological performance. In such experiments, time-on-task can have sizable effects on performance, changing the psychological processes under investigation. Most research has either ignored these changes, treating the underlying process as static, or sacrificed some psychological content of the models for statistical simplicity.

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While many countries have experienced more than one wave of the pandemic throughout 2020, Australia has been able to contain the virus in a way that makes it a stand out (with New Zealand) in the way that it has been contained, with an exception in Victoria linked to failed quarantine procedures for travellers returning from overseas. Through descriptive analysis, this paper builds on earlier papers by the authors on the Australian response, with a focus on the changing dynamics of travel activity, concern with public transport, and attitudes surrounding activity given the perception of risk of COVID-19 and the level of public support for regulatory intervention and restrictions on movement. We find that Australia continues to suppress travel, particularly that for commuting, that comfort in completing day-to-day activities continues to rise (with the exception of Victoria where confidence feel significantly), and while support for intervention measures remains high, there has been an erosion in sentiment.

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Australia 6 months after COVID-19 restrictions part 2: The impact of working from home.

Transp Policy (Oxf)

November 2022

Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW, Australia.

This paper (Part 2 in the paper series), building on earlier studies examining the Australian response, extends on findings related to travel activity, commuting, and attitudes towards COVID-19 measures (Part 1 in the paper series). In this paper we focus in detail on the impact of, and experiences with, working from home (WFH), perhaps the largest of the positive unintended consequence of the pandemic, with respect to transport, and a key lens through which the changing patterns in travel activity and attitudes discussed in Part 1 need to be understood. We conclude that through the widespread adoption of WFH as a result of nationwide public health orders, there is evidence emerging that WFH is now seen as an appealing instrument of change by employees and employers, there is growing support to continue to support WFH into the future.

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A virus has a social history. In the case of the hepatitis C virus (HCV) and HIV, this history is one involving stigma and discrimination, advocacy and activism, and recent dramatic improvements in treatment. These social histories influence the experience of people who live with the viruses, and those who work with them.

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The COVID-19 pandemic has changed the way we go about our daily lives in ways that are unlikely to return to the pre-COVID-19 levels. A key feature of the COVID-19 era is likely to be a rethink of the way we work and the implications this may have on commuting activity. Working from home (WFH) has been the 'new normal' during the period of lockdown, except for essential services that require commuting.

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Embedding graphs on Grassmann manifold.

Neural Netw

August 2022

Discipline of Business Analytics, The University of Sydney Business School, The University of Sydney, NSW 2006, Australia.

Learning efficient graph representation is the key to favorably addressing downstream tasks on graphs, such as node or graph property prediction. Given the non-Euclidean structural property of graphs, preserving the original graph data's similarity relationship in the embedded space needs specific tools and a similarity metric. This paper develops a new graph representation learning scheme, namely Egg, which embeds approximated second-order graph characteristics into a Grassmann manifold.

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Hiding errors can undermine safety by amplifying the risks of undetected errors. This article extends research on occupational safety by investigating error hiding in hospitals and applies self-determination theory to examine how mindfulness decreases error hiding through authentic functioning. We examined this research model in a randomized control trial (mindfulness training vs.

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Advanced modelling of commuter choice model and work from home during COVID-19 restrictions in Australia.

Transp Res E Logist Transp Rev

June 2022

Institute of Transport and Logistics Studies (ITLS), The University of Sydney Business School, Sydney, NSW 2006, Australia.

The decision to work from home (WFH) or to commute during COVID-19 is having a major structural impact on individuals' travel, work and lifestyle. There are many possible factors influencing this non-marginal change, some of which are captured by objective variables while others are best represented by a number of underlying latent traits captured by attitudes towards WFH and the use of specific modes of transport for the commute that have a bio-security risk such as public transport (PT). We develop and implement a hybrid choice model to investigate the sources of influence, accounting for the endogenous nature of latent soft variables for workers in metropolitan areas in New South Wales and Queensland.

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Background: Air pollution is a major health burden and the leading environmental risk factor for non-communicable diseases worldwide. People's perceptions and concerns about air pollution are important as they may predict protective behaviour or support for climate change mitigation policies.

Methods: This repeat cross-sectional study uses survey data collected from participants in Sydney, Australia in September-November 2019 ( = 1,647) and October-December 2020 ( = 1,458), before and after the devastating 2019/2020 bushfires and first COVID-19 lockdown restrictions in Sydney in 2020.

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We promote a view that more attention should be given to the freight sector in order to recognise that many initiatives designed to impact on passenger travel do also impact on the performance of the movement of freight vehicles and hence the ability to distribute commodities from the locations in which they are generated. This paper develops a practical freight demand model system and applies the models within an integrated passenger and freight model system for the Greater Sydney Metropolitan Area using a distance based charge for trucks and cars as a way of highlighting the importance of not ignoring truck traffic when assessing road pricing reform in the car passenger sector.

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Background: Adherence to medication for attention-deficit hyperactivity disorder (ADHD) is less than optimal. Previous studies have primarily focused on qualitative assessment of factors that influence medication adherence.

Objective: This study aimed to quantify the factors that influence patient and parent preferences for continuing ADHD medication.

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We examine the interactions between cryptocurrency price volatility and liquidity during the outbreak of the COVID-19 pandemic. Evidence suggests that these developing digital products have played a new role as a potential safe-haven during periods of substantial financial market panic. Results suggest that cryptocurrency market liquidity increased significantly after the WHO identification of a worldwide pandemic.

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