Potential Postgraduate Students, these are issues for Pursuing Master or PhD (Research Mode) under my supervision In 2022:
DIGITAL TRANSFORMATION
- The effect of digital technologies and digital transformation on particular strategy content approaches, e.g., theory of the firm and firm boundary theories
- Digital strategy, digital strategizing, and open strategy
- Digital technology-enabled business models, such as business models in digital platforms and ecosystems
- Unveiling the underlying practices and process of digital transformation
- Exploring multiple value options in digital transformation contexts
- Digital innovation, digital entrepreneurship
- Impacts of digital transformation on work – individuals, organizations, industry and societal perspectives (workforce, competence, culture).
- Digital transformation mindset, culture and roles
- Socio-technical factors for managing and sustaining digitalĀ ransformations
- The role of analytics and big data in managing and sustaining digital transformation
- Information systems development in digital transformation
- Governance for digital transformations
- Evolving and competing across platforms for digital transformation
- Enablers and barriers of managing and sustaining digital transformations
- IS ethical and corporate responsibility considerations for digital transformation
- Open innovation for digital transformations
- Building digital resilience in the face digital transformation
- Digital transformation of industry sectors (e.g., health, finance, retail).
- Digital transformation driven by ecosystems and platforms.
- Regulation and governance of digital transformation.
- Multi-disciplinary studies on digital transformation, esp. if leading to novel theoretical perspectives.
- Digital transformation of SMEs
- Sustainable digitalization (application)
- Impact of digital transformation on society
- Environmental consequences of digital technologies
- Smart technologies
- Internal and external drivers of digitalization
- Appropriate tools and effect of digital strategies
- Appropriate tools for digital transformation
- Technological level of digital implementation e.g., use of sensors, creation of databases, networking of components.
DATA SCIENCE / AI
- Machine Learning Foundations for Data Science
- Auto-ML
- Information fusion from disparate sources
- Feature engineering, embedding, mining and representation
- Learning from data with domain knowledge
- Reinforcement learning
- Heterogeneous, mixed, multimodal, multi-view and multi-distributional learning
- Online, streaming, dynamic and real-time learning
- Multi-instance, multi-label, multi-class and multi-target learning
- Semi-supervised and weakly supervised learning
- Deep learning theories and models
- Evaluation of data science systems
- Data preprocessing, manipulation and augmentation
- Autonomous learning and optimization systems
- Machine learning for recommender systems, marketing, online and e-commerce
- Risk, compliance, regulation, anomaly, debt, failure and crisis
- Cybersecurity and information disorder, misinformation/fake detection
- Human-centered and domain-driven data science and learning
- Privacy, ethics, transparency, accountability, responsibility, trust, reproducibility and retractability
- Fairness, explainability and algorithm bias
- Green and energy-efficient, scalable, cloud/distributed and parallel analytics and infrastructures
- IoT, smart city, smart home, telecommunications, 5G and mobile data science and learning
- Government and enterprise data science
- Transportation, manufacturing, procurement, and Industry 4.0
- Classification-based prediction models
- Regression-based prediction models
- Forecast using deep learning methods and algorithms
- Managing the uncertainty and missing data in forecast
- The life cycle of predictive models, and maintaining predictive models
- Development and validation of online predictive models
- Self-learning predictive models
- Predictive analytics in Industry 4.0 (application of sensors, historical experience)
- Predictive analysis in healthcare and economy (e.g. patient pathway prediction, predicting complications, customer relationship management,
- Risk reduction, churn prevention, market trend and analysis, credit scoring);
- Social media and text analysis-based predictive models and systems
- Autonomous negotiation & auction based framework
INFORMATION TECHNOLOGY
- information technology
- Information economy
- Internet of things
- Artificial intelligence
- Blockchain technology
- Digitalization
- Technology assessment
- AR/VR
- Databases
- Computer Networks and Security
- Software Engineering
- Data Mining
- Mobile Networking
- Cloud Computing
- Parallel Algorithms
- Electronic-Business
- Smart Computing
- Artificial Intelligence
- Security Systems
DIGITAL MARKETING/TECHNOPRENEURSHIP
- Digital Entrepreneurship and Online communication
- Digital marketing
- Social media communication
- Trends in social media marketing
- Brand authenticity social media marketing
- Sustainability issues in ecommerce and digital marketing
- Social dimension and social impact in ecommerce and digital marketing
- The power of nudge in ecommerce and digital marketing
- The role of disruptive technologies in ecommerce and digital marketing
- The role of sales associates in ecommerce and digital marketing
- Influencers and social media marketing
- Customer privacy and security protection on social media
- Customer Experience Data and Implications
- Leveraging Data and Technology to Enhance Customer Experiences
- Understanding the Customer Journey using data and analytics
- Consumer Insight Mining using novel methods and technologies
- Digital Marketing Metrics for Growth.
- The Role of Data in Communications
- Social Media and Influencer Marketing
- Search Marketing
- Search Engine Optimisation
MANAGEMENT INFORMATION SYSTEM / MANAGEMENT SYSTEM
- Education technology and management systems
- Healthcare technology and management systems
- Business technology and management systems
- IT and computer-based social management systems
- Big and thick data analytics for social management
- Data analysis and decision-making
- Big data and business analytics
- Decision support system
- Management support systems
- Information processing and management
- Knowledge management system
- Executive information systems
- Marketing information systems
- Accounting information systems
- Human resource management systems
- Enterprise resource planning
- Supply chain & information systems
- Business intelligence
- E-commerce and MIS
- Project management information system
- Information system and innovation
- Information security