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This study uses Want Want as an example to show how co-branding helps companies increase their reputations. Influenced by social media and online popularity, the internet provides an enormous and low-cost avenue for firms to communicate with their fans, stabilizing consumer groups and improving network popularity.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Food industry trade -- Marketing Strategic alliances (Business) Internet marketing Social media
- Resource Type:
- Others
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Others
Using a technology-based business model, Macau Venetian cooperated with Ctrip's chairman, dressed, and previewed The Londoner Macau launch at Sands Macau Resort. This study of the method indicates that live streams could stimulate potential customers' interest and encourage them to attend.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- Live streaming Tourism -- Marketing Hospitality industry -- Marketing
- Resource Type:
- Others
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Video
This study takes Klook, a Hong Kong-based technological online travel company, as a successful example of how to use a Mobile-first strategy and Celebrity Charm Strategy to provide customers with a unique and comprehensive travel products and services platform.
- Subjects:
- Marketing and Hotel, Travel and Tourism
- Keywords:
- Travel -- Computer network resources Tourism -- Marketing Marketing
- Resource Type:
- Video
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Others
From the perspective of the 7 Ps as the marketing strategy, this study indicates how 'LinaBell,' the new Disney Ip, benefited from the branding effect, which leads to significant attention from loyal customers before the sale.
- Subjects:
- Hotel, Travel and Tourism
- Keywords:
- China -- Shanghai Bring (Marketing) Amusement parks -- Marketing Internet marketing Social media
- Resource Type:
- Others
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Video
The notion of expertise is integral to all forms of institutional and professional practice in many domains – in education, healthcare, social welfare, law, journalism, banking, information technology, marketing, translating and interpreting services etc. It is a concept addressed by scholars across many disciplines – cognitive science, sociology, anthropology, psychology, language/communication studies, among others. There are, however, enduring problems of definition, description and measurement of expertise. Some scholars draw attention to the ongoing ‘crisis in expertise’ and others pronounce the ‘death of expertise’ in contemporary society.
More humbly, I begin with a characterisation of professional expertise very broadly to include scientific, experiential, technological, organisational, legal, ethical and communicative knowledge. This then leads me to the notion of ‘distributed expertise’, which extends beyond the individual remit and the conventional lay-expert divide. For instance, in the healthcare domain, a significant development afforded by internet-based technology is the increased level of patients’ e-health literacy and, consequently, democratisation of expertise. This amounts not only to accessing health information digitally, but also the phenomenon of patients ‘doctoring’ themselves in ‘the now of its presence’, i.e., ‘expert patients’ becoming instrumental in self-diagnosis and even self-treatment.
Additionally, ‘distributed expertise’ is also constitutive of ‘expert systems’, e.g., diagnostic and interventionist technologies as well as decision aids mediated by algorithms and templates. This is what I refer to as the technologization of expertise. I suggest that there is overreliance on ‘expert systems’ by both experts and lay persons in everyday decision making. Access to and use of ‘expert systems’ in optimal ways inevitably necessitates a reconfiguration of the very conditions and consequences of professional expertise.
Event Date: 25/11/2022
Speaker: Prof. Srikant Sarangi (Hong Kong Polytechnic University)
Hosted by: Faculty of Humanities
- Keywords:
- Information technology -- Social aspects Democratization Expertise
- Resource Type:
- Video
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Others
DM Master is a gamification-based education Application. This is an interactive education tool to support you to learn more about Type 2 diabetes from a health professional perspective. The game has three levels: diagnosis of diabetes, its signs and symptoms, and common complications. You will also explore the goals and strategies of diabetes management, including healthy lifestyles and medications.
In this e-GAME environment, you will earn your virtual coins to enjoy digital shopping and exercises. The scoreboard shows your number of coins (your scores) and your ranking. Set a new score record and get your name on top of the ranking! You can also see the best rated food menu of the day in the ranking list. The DM Master Content is for informational and educational purposes only and is not a substitute for the professional judgment of a health care professional in diagnosing and treating patients.
- Course related:
- SN3490 Nursing Therapeutics 1 and 53455 Bachelor of Science in Nursing (BSN)
- Subjects:
- Nursing and Health Care, Education and Promotion
- Keywords:
- Diabetics
- Resource Type:
- Others
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Video
Professor Yigong Shi will reflect on the challenges in global higher education, based on his 37 years of learning, scientific research, and teaching experience in academia. He will present Westlake University's educational reforms in university operations, governance, talent recruitment, student development, research and academic evaluation, and interdisciplinary studies, which altogether provide new opportunities for future-oriented higher education.
Even date: 6/12/2022
Speaker: Prof. Yigong Shi
Moderator: Prof. Qingyan Chen (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Keywords:
- Educational change China Education Higher
- Resource Type:
- Video
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Video
Before the advent of computers around 1950, optimization centered either on small-dimensional problems solved by looking at zeroes of first derivatives and signs of second derivatives, or on infinite-dimensional problems about curves and surfaces. In both cases, "variations" were employed to understand how a local solution might be characterized. Computers changed the picture by opening the possibility of solving large-scale problems involving inequalities, instead of only equations. Inequalities had to be recognized as important because the decisions to be optimized were constrained by the need to respect many upper or lower bounds on their feasibility. A new kind of mathematical analysis, beyond traditional calculus, had to be developed to address these needs. It built first on appealing to the convexity of sets and functions, but went on to amazingly broad and successful concepts of variational geometry, subgradients, subderivatives, and variational convergence beyond just that. This talk will explain these revolutionary developments and why there were essential.
Event date: 1/11/2022
Speaker: Prof. Terry Rockafellar (University of Washington)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Convex functions Convex sets Mathematical optimization Computer science -- Mathematics
- Resource Type:
- Video
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Video
Geospatial information science is a discipline that focuses on using geospatial information technology to understand people, places, nature and processes of the earth. IoT refers to Internet of things, the combination of sensors, software and other technologies to connect and exchange data with other devices and systems over the Internet. The era of IoT brings us opportunities and challenges for geospatial information science. In the keynote, five characteristics and three scientific issues of geo-spatial information science in the era of IoT are summarised.
Even date: 6/9/2022
Speaker: Prof. Daren Li
Moderator: Prof. Christopher Chao (Hong Kong Polytechnic University)
Panel members: Prof. Qingyan Chen, Prof. Qinhao Chen (Hong Kong Polytechnic University)
Hosted by: PolyU Academy for Interdisciplinary Research
- Subjects:
- Land Surveying and Geo-Informatics
- Keywords:
- Internet of things Geospatial data Spatial data mining
- Resource Type:
- Video
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Video
Adaptive computation is of great importance in numerical simulations. The ideas for adaptive computations can be dated back to adaptive finite element methods in 1970s. In this talk, we shall first review some recent development for adaptive methods with some application. Then, we will propose a deep adaptive sampling method for solving PDEs where deep neural networks are utilized to approximate the solutions. In particular, we propose the failure informed PINNs (FI-PINNs), which can adaptively refine the training set with the goal of reducing the failure probability. Compared with the neural network approximation obtained with uniformly distributed collocation points, the proposed algorithms can significantly improve the accuracy, especially for low regularity and high-dimensional problems.
Event date: 18/10/2022
Speaker: Prof. Tao Tang (Beijing Normal University-Hong Kong Baptist University United International College)
Hosted by: Department of Applied Mathematics
- Subjects:
- Mathematics and Statistics
- Keywords:
- Sampling (Statistics) Differential equations Partial -- Numerical solutions Mathematical models Adaptive computing systems
- Resource Type:
- Video