- Business Strategy and Innovation
- Efficiency Analysis Using DEA
- Sustainable Supply Chain Management
- Innovation and Knowledge Management
- Recommender Systems and Techniques
- Human Mobility and Location-Based Analysis
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Supply Chain Resilience and Risk Management
- Corporate Identity and Reputation
- Customer Service Quality and Loyalty
- Media, Gender, and Advertising
- Fuzzy Systems and Optimization
- Advanced Neural Network Applications
- Transport and Economic Policies
- Indoor and Outdoor Localization Technologies
- Consumer Behavior in Brand Consumption and Identification
- Workplace Spirituality and Leadership
- Job Satisfaction and Organizational Behavior
- Advanced Graph Neural Networks
- Fuzzy Logic and Control Systems
- Corporate Finance and Governance
- Maritime Ports and Logistics
- Cognitive and psychological constructs research
- Global and Cross-Cultural Management
Hong Kong University of Science and Technology
2023-2025
University of Hong Kong
2023-2025
West Chester University
2018-2023
University of Ottawa
2018
Guilin University of Electronic Technology
2017
Ohio University
2014-2017
National University of Defense Technology
2012
University of Science and Technology of China
2012
Chinese Academy of Surveying and Mapping
2011
Federated unlearning (FUL) is an emerging distributed machine learning paradigm which enables the removal or of specific training data effects from trained Learning (FL) models. While current studies mostly focus on client-side FUL to address "right be forgotten", and ignore server's right remove local models global model, particularly when clients are with low-quality data. In this paper, we introduce Server-Initiated Unlearning (SIFU) algorithm, devised eliminate model. SIFU consists two...
The underlining task for fine-grained image recognition captures both the inter-class and intra-class discriminate features. Existing methods generally use auxiliary data to guide network or a complex comprising multiple sub-networks. They have two significant drawbacks: (1) Using like bounding boxes requires expert knowledge expensive annotation. (2) sub-networks make architecture complicated training steps. We propose an end-to-end Spatial Self-Attention Network (SSANet) spatial...
Purpose: The mechanism by which market orientation contributes to positional strength of a new product, appropriate timing entry the market, and product performance is examined in business-to-business (B-to-B) context.Methodology/Approach: We examine role orientation—new relationship using 178 firms operating B-to-B market.Findings: results show that establishing product's key step success product. Market does not directly influence performance. Instead, it shapes strength, which, turn,...
The rising popularity of online social network services has attracted a lot research focusing on mining various user patterns. Among them, accurate IP geolocation is essential for plethora location-aware applications. However, despite extensive efforts and significant advances, the "accurate reliable'' desideratum yet to be achieved at higher quality level. This work presents graph neural (GNN)-based model, called TrustGeo, trustworthy street-level geolocation. A distinct important aspect...
Abstract In today's multicultural environment, the influence of cultural orientations on humorous advertising outcomes is increasingly significant for researchers and practitioners. Drawing a theoretical framework from culture dimensions theories humour in advertising, this research examines moderating role orientation relationship between styles consumers' attitudes towards ads. Empirical results studies conducted Brazil, China United States show that uncertainty avoidance moderates effect...
One of the most important functions an export credit agency (ECA) is to act as intermediary between national governments and exporters. These organizations provide financing reduce political commercial risks in international trade. The agents assess buyers based on financial non-financial indicators determine whether it advisable grant them credit. Because many these are qualitative inherently linguistically ambiguous, must make decisions uncertain environments. Therefore, accurate decision...
To better understand the various dimensions of organizational citizenship behavior (OCB) in Mexico, a study 200 professionals shopping center management industry considers collectivistic cultural background Mexican employees. Using framework based on both etic (universal) and emic (culturally specific) OCB, researchers found that OCB Mexico embraces eight dimensions. Three them—altruism, civic virtue, sportsmanship—were to be etic, or universal, dimensions, while three others—interpersonal...
Export credit agencies (ECAs) play an important role in a country's export oriented economy. Due to the importance, this research aims evaluate performance of ECAs that are members Prague Club and Berne Union, based on four inputs five outputs. For purpose benchmarking, data envelopment analysis (DEA) is applied investigate variables. The results show that, among selected ECAs, 12 them efficient nine inefficient. Moreover, we demonstrate how inefficient can benchmark against for better by...
Although the pattern of interfunctional coordination for large firms has been described and studied, little attention is paid to its fit industrial small medium-sized enterprises (I-SMEs). This research updates conventional understanding by investigating in market-oriented I-SMEs, taking into account customer environment organizational environment. Using a multiple case studies method, this study describes practices I-SMEs. Drawing upon findings, proposes useful guideline, namely,...
This study attempts to find and prioritise critical success factors (CSFs) for green supply chain management (GSCM) in an emerging economy. First, extant literature is reviewed initial 67 CSFs from previous studies are extracted. Then, responses collected logistics industry leaders Iran based on Delphi method. The remaining 41 prioritised by grey-permutation method genetic algorithm. ranking of the GSCM created then discussed. provides important implications implementing economies draws...
Helping managers effectively allocate limited strategic resources in the organisation, enterprise resource planning (ERP) is one of most important organisational systems that assist accurate and on-time decisions. The aim this study to rank critical successful factors (CSFs) for implementation ERP insurance industry. Although many organisations have adopted ERP, only a few them are able achieve goals. In study, CSFs identified then ranked by employing grey relational analysis (GRA). results...
Many companies use data envelopment analysis (DEA) as a method for measuring performance and benchmarking with other organisations. The aim of this study is to describe new approach classification based on fuzzy clustering. used clustering decision-making units (DMUs) ranks them from the least priority cluster highest cluster. Thus, inefficient clusters can be identified compared efficient clusters. This evaluates 25 insurance output oriented CCR methods, result shows that ten belong...
Selecting an appropriate brand transposition strategy across different language systems is crucial to a brand's success in the multi-cultural global marketplace. Drawing upon appraisal theory and using large data set of 3,100 real cosmetic brands their consumer ratings China, we analyze effectiveness three common strategies types firms. The results show that differ effects on brand, depend firm type (foreign, joint venture, domestic firms). Specifically, semantic exerts positive foreign...
This study proposes a three-practice approach for organizing, analyzing, and studying organizational citizenship behaviors (OCBs) taking into account the different views reflected across global, regional, and/or national studies. First, OCBs were reviewed categorized Western, Asian, Latin American contexts. Second, grouped based on three practices: etic (global), emic (regional), unique (national) perspectives. Finally, cultural dimensions of individualism versus collectivism (IC) power...
Survivability is the ability of a system to continue offering services in presence an accident or malicious attacks. The goal survivability analysis identify components that are susceptible attacks and quantify their capabilities survive In systems based on Service Oriented Architectures, fundamentally different from traditional security centric approaches have been developed for systems. This paper presents initial study adopting attack tree with formalization study. From analysis, we...
This paper investigates the universal fuzzy models problem and controllers for discrete-time general nonlinear systems based on a class of generalized T-S models. The models, which are shown to be function approximators, also proved non-affine under some sufficient conditions. results static dynamic two classes then given, respectively, constructive procedures obtain provided.