Browsing by Author "Chen T"
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- ItemAnalyzing Hong Kong’s Inbound Tourism: The Impact of the COVID-19 Pandemic(Elsevier, 2021-11-05) Tsui WHK; Fu X; Chen T; Lei Z; Wu HThis study empirically investigates the determinants and drivers of Hong Kong’s inbound tourism using data from January 2019 to December 2020. Five of Hong Kong’s major regional tourism source markets are selected: Japan, Malaysia, the Philippines, Singapore, and South Korea. Our empirical results suggest that the COVID-19 pandemic has had significant negative impacts on the tourism and aviation sectors in Hong Kong that are asymmetric in the source and destination countries. In addition, international travel control imposed by the Hong Kong government is often defined according to the pandemic situation in the tourism source countries, Hong Kong’s inbound visitor volume is also significantly affected by the Hong Kong government’s response to COVID-19 infection cases in the tourism origin markets. Our empirical results also suggest that the flying distance to Hong Kong and high tourism costs in Hong Kong reduced visitor arrival demand, whereas increased aviation services and tourism market potential contributed to tourism growth. These results suggest that the tourism industry and government agencies should cooperate to recover when the pandemic is under good control, so that Hong Kong will be regarded as a preferred and safe destination for travelers and visitors. Our study emphasizes the complementarity between pandemic control and tourism recovery. Pandemic control involves extra tests and quarantine requirements on passengers, more vigorous border control. These operational and associated financial requirements call for government support to the tourism and aviation sectors in the early stage of recovery to create a positive feedback loop.
- ItemBlended human-technology service realities in healthcare(Emerald, 2022-01-05) Dodds S; Russell-Bennett R; Chen T; Oertzen A-S; Salvador-Carulla L; Hung Y-CPurpose – The healthcare sector is experiencing a major paradigm shift toward a people-centered approach. The key issue with transitioning to a people-centered approach is a lack of understanding of the ever-increasing role of technology in blended human-technology healthcare interactions and the impacts on healthcare actors’ well-being. The purpose of the paper is to identify the key mechanisms and influencing factors through which blended service realities affect engaged actors’ well-being in a healthcare context. Design/methodology/approach – This conceptual paper takes a human-centric perspective and a value co creation lens and uses theory synthesis and adaptation to investigate blended human-technology service realities in healthcare services. Findings – The authors conceptualize three blended human-technology service realities – human-dominant, balanced and technology-dominant – and identify two key mechanisms – shared control and emotional-social and cognitive complexity – and three influencing factors – meaningful human-technology experiences, agency and DART (dialogue, access, risk, transparency) – that affect the well-being outcome of engaged actors in these blended human-technology service realities. Practical implications – Managerially, the framework provides a useful tool for the design and management of blended human-technology realities. The paper explains how healthcare services should pay attention to management and interventions of different services realities and their impact on engaged actors. Blended human-technology reality examples – telehealth, virtual reality (VR) and service robots in healthcare – are used to support and contextualize the study’s conceptual work. A future research agenda is provided. Originality/value – This study contributes to service literature by developing a new conceptual framework that underpins the mechanisms and factors that influence the relationships between blended human technology service realities and engaged actors’ well-being
- ItemSex differences in dementia risk and risk factors: Individual-participant data analysis using 21 cohorts across six continents from the COSMIC consortium.(John Wiley and Sons, Inc., 2023-08-01) Gong J; Harris K; Lipnicki DM; Castro-Costa E; Lima-Costa MF; Diniz BS; Xiao S; Lipton RB; Katz MJ; Wang C; Preux P-M; Guerchet M; Gbessemehlan A; Ritchie K; Ancelin M-L; Skoog I; Najar J; Sterner TR; Scarmeas N; Yannakoulia M; Kosmidis MH; Guaita A; Rolandi E; Davin A; Gureje O; Trompet S; Gussekloo J; Riedel-Heller S; Pabst A; Röhr S; Shahar S; Singh DKA; Rivan NFM; Boxtel MV; Köhler S; Ganguli M; Chang C-C; Jacobsen E; Haan M; Ding D; Zhao Q; Narazaki K; Chen T; Chen S; Ng TP; Gwee X; Numbers K; Mather KA; Scazufca M; Lobo A; De-la-Cámara C; Lobo E; Sachdev PS; Brodaty H; Hackett ML; Peters SAE; Woodward MINTRODUCTION: Sex differences in dementia risk, and risk factor (RF) associations with dementia, remain uncertain across diverse ethno-regional groups. METHODS: A total of 29,850 participants (58% women) from 21 cohorts across six continents were included in an individual participant data meta-analysis. Sex-specific hazard ratios (HRs), and women-to-men ratio of hazard ratios (RHRs) for associations between RFs and all-cause dementia were derived from mixed-effect Cox models. RESULTS: Incident dementia occurred in 2089 (66% women) participants over 4.6 years (median). Women had higher dementia risk (HR, 1.12 [1.02, 1.23]) than men, particularly in low- and lower-middle-income economies. Associations between longer education and former alcohol use with dementia risk (RHR, 1.01 [1.00, 1.03] per year, and 0.55 [0.38, 0.79], respectively) were stronger for men than women; otherwise, there were no discernible sex differences in other RFs. DISCUSSION: Dementia risk was higher in women than men, with possible variations by country-level income settings, but most RFs appear to work similarly in women and men.