Kum Fai Yuen
Yuen, Kum Fai
VIAF ID: 22145193341670460536 (Personal)
Permalink: http://viaf.org/viaf/22145193341670460536
Preferred Forms
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100 0 _
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Kum Fai Yuen
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100 1 _
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Yuen, Kum Fai
4xx's: Alternate Name Forms (6)
5xx's: Related Names (2)
Works
| Title | Sources |
|---|---|
| Cascading Failures and Vulnerability Evolution in Bus⁻Metro Complex Bilayer Networks under Rainstorm Weather Conditions |
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| The effect of maritime knowledge clusters on maritime firms’ performance: An organizational learning perspective |
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| The Evolution of the Spatial Association Effect of Carbon Emissions in Transportation: A Social Network Perspective |
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| Factors Influencing the Adoption of Shared Autonomous Vehicles |
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| The Influence of Continuous Improvement of Public Car-Sharing Platforms on Passenger Loyalty: A Mediation and Moderation Analysis |
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| An innovation diffusion perspective of e-consumers’ initial adoption of self-collection service via automated parcel station |
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| The key challenges and critical success factors of blockchain implementation: Policy implications for Singapore's maritime industry |
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| Low-sulfur fuel consumption: Marine policy implications based on game theory |
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| Marine fuel refining technology improvement trade-offs: A game theoretic approach |
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| Maritime knowledge clusters: A conceptual model and empirical evidence |
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| The Psychological Causes of Panic Buying Following a Health Crisis |
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| The psychology of cruise service usage post COVID-19: Health management and policy implications |
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| Quantitative Risk Assessment of Seafarers' Nonfatal Injuries Due to Occupational Accidents Based on Bayesian Network Modeling |
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| Rise of 'Lonely' Consumers in the Post-COVID-19 Era: A Synthesised Review on Psychological, Commercial and Social Implications |
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| Special issue on ‘Artificial Intelligence & big data in shipping’ |
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| Sustainability disclosure for container shipping: A text-mining approach |
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| Transport research under Belt and Road Initiative: current trends and future research agenda |
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| Understanding Public Acceptance of Autonomous Vehicles Using the Theory of Planned Behaviour |
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