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研究單位
研究成果
學術履歷
新聞/媒體
連絡專家
查看斯高帕斯 (Scopus) 概要
余 達緯
Associate Professor
Associate Professor
,
Faculty of Business
電話
85993312
電子郵件
billyyu
mpu.edu
mo
h-index
491
引文
12
h-指數
按照存儲在普爾（Pure）的出版物數量及斯高帕斯（Scopus）引文計算。
2006
2026
每年研究成果
概覽
指紋
網路
研究成果
(27)
新聞/媒體
(2)
類似的個人檔案
(2)
指紋
查看啟用 TAT WAI YU 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Social Sciences
Quality Management
100%
Macao
86%
Consumer Behavior
75%
Deep Learning Method
75%
Design Methodology
66%
China
62%
Public Organization
53%
Work Attitudes
50%
Interactive Marketing
43%
Agency Theory
41%
Economic and Social Development
39%
Chinese
38%
Artificial Intelligence
37%
Internal Marketing
37%
Organizational Performance
36%
Hong Kong
36%
Public Sector
33%
Knowledge Management
29%
Operations Management
27%
Co-Worker
25%
Perceived Stress
25%
Organizational Development
25%
Organizational Change
25%
Technology Acceptance Model
25%
Engineering
25%
Information Dissemination
25%
Safety Management
25%
Occupational Health
25%
Tourism
25%
Knowledge Management System
25%
Environmental Management
25%
Generative Artificial Intelligence
25%
Work Performance
25%
Performance Outcome
25%
Purchase Decision
25%
Heritage Tourism
25%
Virtual Reality
25%
Cultural Heritage
25%
Information Seeking
25%
Sales
25%
Turnover Intention
25%
Carbon Dioxide
25%
Air Transport
25%
Greenhouse Gas Emissions
25%
Public Management
25%
Decision Making Management
25%
Aviation
25%
Literature Reviews
24%
Empirical evidence
20%
Decision Making
18%
Computer Science
Information Product
50%
Team Performance
25%
Taxonomy Development
25%
Concurrent Engineering
25%
Knowledge Management System
25%
Perceived Benefit
25%
Case Study
25%
Cultural Heritage
25%
Virtual Reality
25%
Structural Equation Model
25%
Usage Experience
25%
Information Seeker
25%
Deep Learning Method
25%
Knowledge Management
16%
Quality Management
12%
Proof
12%
Decision Making
12%
Information Quality
12%
Product Quality
12%
Underlying Mechanism
12%
Interactivity
12%
Collected Data
8%
Organizational Support
8%
Collaboration
8%
Empirical evidence
8%
Special Feature
8%
Historical Context
6%
Customer Experience
6%
Artificial Intelligence Applications
6%
Linguistics
6%
Centered Approach
6%
Research Direction
6%
Artificial Intelligence
6%
Algorithmic Bias
6%
Privacy Violation
6%
Structural Equation
5%
Negative Impact
5%
Virtual Reality Experience
5%
