Alan Hoi Shou Chan

Dr. Alan Hoi Shou Chan

City University of Hong Kong
orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 March 2014 in Ergonomics
Verified
Journal Article
Closed access
KCKe Chen
Ke Chen
Alan Hoi Shou ChanAlan Hoi Shou Chan
Alan Hoi Shou Chan
The purpose of this study was to develop and test a senior technology acceptance model (STAM) aimed at understanding the acceptance of gerontechnology by older Hong Kong Chinese people. The proposed STAM extended previous technology acceptance models and theories by adding age-related health and ability characteristics of older people. The proposed STAM was empirically tested using a cross-sectional questionnaire survey with a sample of 1012 seniors aged 55 and over in Hong Kong. The result showed that STAM was strongly supported and could explain 68% of the variance in the use of gerontechnology. For older Hong Kong Chinese, individual attributes, which include age, gender, education, gerontechnology self-efficacy and anxiety, and health and ability characteristics, as well as facilitating conditions explicitly and directly affected technology acceptance. These were better predictors of gerontechnology usage behaviour (UB) than the conventionally used attitudinal factors (usefulness and ease of use). Practitioner Summary: Previous studies have not given much consideration to age-related health and associated abilities when examining acceptance of technology by the ageing population. By encompassing conventional technology acceptance constructs together with age-related health and ability characteristics, the present study was able to identify more factors affecting gerontechnology acceptance by older Hong Kong Chinese.

1 February 2019 in Applied Ergonomics
Verified
Journal Article
Closed access
JLJunde Li
Junde Li
QMQi Ma
Qi Ma
Alan Hoi Shou ChanAlan Hoi Shou Chan
Alan Hoi Shou Chan
SMS.S. Man
S.S. Man

Wong Ka PoWong Ka Po
Wong Ka Po
Alan Hoi Shou ChanAlan Hoi Shou Chan
Alan Hoi Shou Chan
SNS. C. Ngan
S. C. Ngan
There has been no subsequent meta-analysis examining the effects of long working hours on health or occupational health since 1997. Therefore, this paper aims to conduct a meta-analysis covering studies after 1997 for a comparison. A total of 243 published records were extracted from electronic databases. The effects were measured by five conditions, namely, physiological health (PH), mental health (MH), health behaviours (HB), related health (RH), and nonspecified health (NH). The overall odds ratio between long working hours and occupational health was 1.245 (95% confidence interval (CI): 1.195–1.298). The condition of related health constituted the highest odds ratio value (1.465, 95% CI: 1.332–1.611). The potential moderators were study method, cut-point for long weekly working hours, and country of origin. Long working hours were shown to adversely affect the occupational health of workers. The management on safeguarding the occupational health of workers working long hours should be reinforced.



KCKe Chen
Ke Chen
Alan Hoi Shou ChanAlan Hoi Shou Chan
Alan Hoi Shou Chan
This study employed a qualitative approach to explore the attitudes and experiences of older people towards using gerontechnology, and to determine the underlying reasons that might account for their use and non-use of gerontechnology. Four focus group discussions and 26 individual interviews were undertaken. Qualitative data were analyzed using NVivo software and were categorized using coding and grounded theory techniques. The result indicated that old people in Hong Kong had an overall positive attitude toward technology. Positive attitudes were most frequently related to enhanced convenience and advanced features. Negative attitudes were most frequently associated with health risks and social problems arising from using technology (e.g., social isolation and addiction). Usage of technology is driven by outcome expectations and social influences, and supported by facilitators, whereas non-use of gerontechnology relates to the personal (e.g., health and functional capacities), technological (e.g., cost and complexity), and environmental barriers experienced. Use of gerontechnology is a synthesis of person, technology, and environment. To encourage non-users to adopt technology, there is a need to remove barriers at personal, technological, and environmental levels.