ORCID Profile
0000-0001-9009-2049
Current Organisations
University of South Australia
,
Universiti Malaysia Sabah - Kampus Antarabangsa Labuan
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Publications
Untangling factors influencing social networking sites use among older adults: a literature review
Publisher: Springer Science and Business Media LLC
Date: 17-03-2023
Travel-Time Estimation by Cubic Hermite Curve
Publisher: MDPI AG
Date: 23-06-2022
DOI: 10.3390/INFO13070307
Abstract: Travel time is a measure of time taken to travel from one place to another. Global Positioning System (GPS) navigation applications such as Waze and Google Maps are easily accessible presently and allow users to plan a route based on travel time from one place to another. However, these applications can only estimate general travel time based on a vehicle’s total distance and average safe speed without considering route curvature. A parametric cubic curve has shown a potential result in travel-time estimation through geometric properties. In this paper, travel time has been estimated using the curvature value obtained from the Hermite Interpolation curve fitted to each section of the selected road. Design speed is determined from the curvature value, and thus an algorithm for travel-time estimation incorporating initial driving information is developed. The proposed method’s accuracy was compared to the existing method’s accuracy using a real-life driving test. This comparison demonstrated that the proposed method estimates travel time more accurately than Google Maps and Waze. Future study can further improve the estimation by embedding traffic data into the algorithm.
Disentangling Determinants of Ride-Hailing Services among Malaysian Drivers
Publisher: MDPI AG
Date: 16-12-2022
DOI: 10.3390/INFO13120584
Abstract: Ride-hailing has emerged as one of the progressive sharing economy platforms. As a digital platform, both riders and drivers are critical to achieving sustainable ride-hailing transactions. Previous studies have gained little insight into ride-hailing services from drivers’ perspectives. This study investigates the salient factors that determine the usage of ride-hailing services among drivers in Malaysia by extending the technology acceptance model (TAM), introducing governmental regulations, and integrating perceived risk and trust into the model. We collected data from a total of 495 ride-hailing drivers across Malaysia. Our results suggest that a driver’s intention to use ride-hailing services is determined by perceived ease of use, perceived usefulness, and governmental regulations, which lead to actual usage. However, unexpectedly enough, the results signify that perceived risk does not affect the intention to use ride-hailing unless there is trust among the drivers. Overall, this paper draws attention to the substantial contrast in its results from the majority of prior TAM literature and has thoroughly improved the exploratory power of TAM by introducing new variables into the model, particularly from the perspective of ride-hailing drivers. This study is expected to bring theoretical and practical contributions to improve the country’s ride-hailing industry.
The future of social entrepreneurship: modelling and predicting social impact
Publisher: Emerald
Date: 16-08-2022
DOI: 10.1108/INTR-09-2020-0497
Abstract: Predicting the impact of social entrepreneurship is crucial as it can help social entrepreneurs to determine the achievement of their social mission and performance. However, there is a lack of existing social entrepreneurship models to predict social enterprises' social impacts. This paper aims to propose the social impact prediction model for social entrepreneurs using a data analytic approach. This study implemented an experimental method using three different algorithms: naive Bayes, k -nearest neighbor and J48 decision tree algorithms to develop and test the social impact prediction model. The accurate result of the developed social impact prediction model is based on the list of identified social impact prediction variables that have been evaluated by social entrepreneurship experts. Based on the three algorithms' implementation of the model, the results showed that naive Bayes is the best performance classifier for social impact prediction accuracy. Although there are three categories of social entrepreneurship impact, this research only focuses on social impact. There will be a bright future of social entrepreneurship if the research can focus on all three social entrepreneurship categories. Future research in this area could look beyond these three categories of social entrepreneurship, so the prediction of social impact will be broader. The prospective researcher also can look beyond the difference and similarities of economic, social impacts and environmental impacts and study the overall perspective on those impacts. This paper fulfills the need for the Malaysian social entrepreneurship blueprint to design the social impact in social entrepreneurship. There are none of the prediction models that can be used in predicting social impact in Malaysia. This study also contributes to social entrepreneur researchers, as the new social impact prediction variables found can be used in predicting social impact in social entrepreneurship in the future, which may lead to the significance of the prediction performance.
Effect of Smartphone App’s Intervention on Consumers’ Knowledge, Attitude, Practice, and Perception of Food Poisoning Prevention When Dining Out at Selected Rural Areas in Terengganu
Publisher: MDPI AG
Date: 29-09-2021
Abstract: (1) Background: Lack of food safety awareness and preventive behaviour when dining out increases the risk of food poisoning. Furthermore, food poisoning cases among rural communities have been rising in recent years. However, the health-related mobile application is a promising tool in improving food poisoning prevention knowledge, attitude, practice, and perception (KAP2) among consumers. Therefore, the current study developed a novel smartphone app, MyWarung©, and determined its efficacy in increasing awareness, attitude, practice, and perception of food poisoning and its prevention when dining out, especially among rural consumers. (2) Methods: A quasi-experimental pre-and post-intervention study with a control and intervention group were performed on 100 consumers in Terengganu. (3) Results: The intervention’s inter-group outcomes were analysed using the Mann–Whitney test, while the within-group effects were ascertained using the Wilcoxon sign rank test via the SPSS software. It was found that the control group had higher median scores in knowledge (30.0, IQR 7.0), attitude (46.0, IQR 5.0), and practice (34.0, IQR 3.0) than the intervention group before intervention. After the intervention programme, the intervention group showed significant improvement in food poisoning knowledge (p = 0.000), attitude (p = 0.001), and practice (p = 0.000). However, the intervention group’s perceived barriers (p = 0.129) and susceptibility (p = 0.069) and the control group’s perceived barriers (p = 0.422) did not show any significant improvement. (4) Conclusion: The findings indicated that the MyWarung© mobile app usage enhanced the food poisoning knowledge, preventive attitude, and practice among consumers when dining out.
Increased distance or time from a major trauma centre in South Australia is not associated with worse outcomes after moderate to severe traumatic brain injury
Publisher: Wiley
Date: 18-07-2023
Abstract: Considerations in traumatic brain injury (TBI) management include time to critical interventions and neurosurgical care, which can be influenced by the geographical location of injury. In Australia, these distances can be vast with varying degrees of first‐responder experience. The present study aimed to evaluate the association that distance and/or time to a major trauma centre (MTC) had on patient outcomes with moderate to severe TBI. A retrospective cohort study was conducted using data from the Royal Adelaide Hospital's (RAH) Trauma Registry over a 3‐year period (1 January 2018 to 31 December 2020). All patients with a moderate to severe TBI (Glasgow Coma Scale [GCS] ≤13 and abbreviated injury score head of ≥2) were included. The association of distance and time to the RAH and patient outcomes were compared by calculating the odds ratio utilising a logistic regression model. A total of 378 patients were identified of these, 226 met inclusion criteria and comprised our study cohort. Most patients were male (79%), injured in a major city (55%), with median age of 38 years old and median injury severity score (ISS) of 25. After controlling for age, ISS, ED GCS on arrival and pre‐MTC intubation, increasing distance or time from injury site to the RAH was not shown to be associated with mortality or discharge destination in any of the models investigated. Our analysis revealed that increasing distance or time from injury site to a MTC for patients with moderate to severe TBI was not significantly associated with adverse patient outcomes.
How do Governments Leverage the Use of Social Media? A Systematic Review
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Related Organisations
University Of Glasgow
Location: United Kingdom of Great Britain and Northern Ireland
Universiti Malaysia Sabah - Kampus Antarabangsa Labuan
Location: Malaysia
Related Funding Activities
No related grants have been discovered for Christie Pei-Yee Chin.