Publications by authors named "Kim Hua Tan"

Debriefing is a process in physical or online learning that encourages learners to reflect on their own learning experiences. Effective questioning techniques and evoking positive experiences are methods for regulating and guiding students toward an environment that promotes mental health. The purpose of this scoping review is to identify effective debriefing questioning techniques and experiences for addressing the three presences in the Community of Inquiry framework, namely social presence, cognitive presence, and instructor presence, among learners in an educational or occupational setting.

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This scoping review aimed to clarify and redefine the concepts of social and physical presence in the context of online livestreaming environments. Physical presence involves technical elements and nonhuman-to-human interaction, factors that inevitably influence social presence, which has human-to-human interactions at its core. Considering one type of presence to the exclusion of the other may not provide sufficiently informed decisions for user consumption.

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The newly emergent social live streaming services (SLSSs) provide the sport consumers with a synchronised and more interactive viewing experience. In order to help the sport SLSSs firms understanding and engaging with the viewers effectively, this research aims to classify the sports SLSS viewers based on their engagement behaviour, and identify the perceived value and value contribution of each group of viewers. Firstly, 52,545 sports SLSSs viewers' viewing duration time is predicted by a feedforward neural network.

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Data-driven innovation enables firms to design products that are more responsive to market needs, which greatly reduces the risk of innovation. Customer data in the same supply chain has certain commonality, but data separation makes it difficult to maximize data value. The selection of an appropriate mode for cooperation innovation should be based on the particular big data analytics capability of the firms.

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The outbreak of the COVID-19 pandemic has significantly augmented the complexity of information, adding to the challenges that firms face in effectively processing and grasping accurate information. As a result, the production uncertainty of firms has been seriously intensified during the pandemic, disrupting the normal operation of firms and their supply chains. Digital technologies serve as salient tools that help firms to process and analyse information, consequently enhancing firm resilience in the face of supply chain disruptions.

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This review aims to examine the discrimination and prejudices toward the accent of non-native English speakers and cyberbullying as the ripple effect of these negative consequences. Following Arksey and O'Malley's framework of conducting a scoping review, 60 studies from 2012 to 2021 were retrieved from the ERIC and Google Scholar databases. The studies were reviewed from two aspects: (1) psychological impact on speakers with a non-native English accent, (2) attitudes toward non-native English accents from the victim's and perpetrator's perspectives.

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Pandemic events, particularly the current Covid-19 disease, compel organisations to re-formulate their day-to-day operations for achieving various business goals such as cost reduction. Unfortunately, small and medium enterprises (SMEs) making up more than 95% of all businesses is the hardest hit sector. This has urged SMEs to rethink their operations to survive through pandemic events.

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Background: The ability of small- and medium-sized enterprises in the food industry (FSMEs) in cultivating resilience against the COVID-19 pandemic is vital food security. However, there is limited supply chain resilience literature to guide FSMEs in overcoming disruptions caused by pandemic.

Scope And Approach: This review aims to provide a broad view of SCRes reactive strategies for FSMEs in dealing with crises in the context of COVID-19.

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Payment cards offer a simple and convenient method for making purchases. Owing to the increase in the usage of payment cards, especially in online purchases, fraud cases are on the rise. The rise creates financial risk and uncertainty, as in the commercial sector, it incurs billions of losses each year.

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Basic Susceptible-Exposed-Infectious-Removed (SEIR) models of COVID-19 dynamics tend to be excessively pessimistic due to high basic reproduction values, which result in overestimations of cases of infection and death. We propose an extended SEIR model and daily data of COVID-19 cases in the U.S.

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