A5100728251- Customer churn and segmentation
- Education and Work Dynamics
- Consumer Retail Behavior Studies
- Customer Service Quality and Loyalty
- Gaze Tracking and Assistive Technology
- Educational Technology and Assessment
- Higher Education and Teaching Methods
- Data Visualization and Analytics
- IoT Networks and Protocols
- Digital and Cyber Forensics
- Safety and Risk Management
- Human Resource and Talent Management
- Knowledge Management and Sharing
- Web visibility and informetrics
- E-commerce and Technology Innovations
- Critical Theory and Philosophy
- Sentiment Analysis and Opinion Mining
- Age of Information Optimization
- Research studies in Vietnam
- Entrepreneurship Studies and Influences
- User Authentication and Security Systems
- EFL/ESL Teaching and Learning
- Ethics in Business and Education
- Forecasting Techniques and Applications
- Employer Branding and e-HRM
University of Electronic Science and Technology of China
2021-2025
University of Ulster
2019-2023
Shanxi University of Finance and Economics
2023
National University of Singapore
2022
China University of Geosciences
2019
University of Science and Technology of China
2014
Inner Mongolia University
2006
World Wide Web Consortium
2005
Dongfeng Motor Group (China)
2004
This study advances prior theoretical research by examining the relationship between entrepreneurial leadership and new venture performance with introduction of exploratory exploitative innovations as mediating variables. To fully understand influence process leadership, we argue that environmental dynamism should be considered. Data on 168 ventures in C hina indicate is positively related to both innovations, which turn are performance. Our results also confirm moderates types innovation...
In this digital era, service trade has brought significant benefits to the global economy. However, also poses considerable challenges international regulations. This study aims analyze impact of cross-border on economic growth importing countries while determining how barriers moderate effect. We established a theoretical model that meticulously delineates various restrictive regulatory measures can hinder inputs. further developed comprehensive and detailed barrier index based these...
Eye tracking technologies are widely used in studies on Human-Computer Interaction (HCI). To get a better understanding of TV customer experience, study was conducted at the BT Ireland Innovation Centre which an eye tracker to record user interactions with video-on-demand application, Player. This paper presents analysis movement data integrated layout information from A Discrete Time-Markov Chain is applied dataset as records each gaze particular frequency, can be regarded time-discrete....
The advancement of Internet Protocol television (IPTV) has brought significant advantages to TV users in terms the content viewing and control over Electronic Program Guide (EPG) system, which provided richer behaviour data gain insights from. Set-Top-Box (STB) an IPTV system typically collects user as well monitors performance form event logs. Sequence mining technologies have been widely used study logs, such most frequent items. This paper presents analysis logs on box (BT YouView Box),...
Human-Computer Interaction (HCI) research has extensively employed eye-tracking technologies in a variety of fields. Meanwhile, the ongoing development Internet Protocol TV (IPTV) significantly enriched customer experience, which is great interest to researchers across academia and industry. A previous study was carried out at BT Ireland Innovation Centre (BTIIC), where an eye tracker record user interactions with Video-on-Demand (VoD) application, Player. This paper complementary subsequent...
Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of data, and how difficult to identify underlying frustration signatures, which may represent an important driver regarding future behaviour. Here, we propose novel Bayesian hierarchical joint model that able characterise customer profiles based on events take place within different television watching journeys, long takes between events. The...
Customer engagement has long been a major field of study in the market for digital products because better understanding customer behaviour enables service providers to optimise their offerings and retain customers who are at risk leaving. Process mining widely used this context, as it is important mine changes throughout lifespan observe how navigate product or service. The application Hidden Markov Models (HMM) BT TV set-top-box (STB) viewing data main topic paper. We use continuous state...
Results & Discussion
Customer churn prediction is a valuable task in many industries. In telecommunications it presents great challenges, given the high dimensionality of data, and how difficult to identify underlying frustration signatures, which may represent an important driver regarding future behaviour. Here, we propose novel Bayesian hierarchical joint model that able characterise customer profiles based on events take place within different television watching journeys, long takes between events. The...
Many firms rely on their suppliers as a major source of innovation, and they harness the innovation potential supplier base by organizing procurement (or innovation) contests. Extant research contests has mostly assumed that compete even grounds in contest. However, practice, are frequently biased because can differ widely one important aspect: whereas some independent from buying firm, others may be affiliated with or controlled buyer. This paper seeks to understand how (varying degrees of)...