Chan Yung Chun (YOUNG, Yung)
- Email: bnycc@leeds.ac.uk
- Thesis title: Team Effectiveness in the Digital Era: Exploring Dynamics of Hybrid Teamwork for Creative and Complex Tasks.
- Supervisors: Dr Mark Robinson, Dr Helen Hughes
Profile
My LinkedIn and Google Scholar.
I have a background in the profession for facilitating human growth, specializing in guidance and counselling. In my five-year undergraduate period, I fortunately grasped the opportunities to be a school guidance teacher, counselling psychologist, and psychological assessment professional, and also exchanged abroad for a year. These experiences promoted me to be more open-minded, appreciative, and contributing. Afterwards and holding a proactive perspective in mind, I attempted to focus on the influential issue: work-life human well-being and effectiveness. I studied human resource and industrial relations in University of Manchester. Through the learning, I found my background can benefit my study especially in the domain of human behavior. Thus, I decided to contribute more in the area of human behavior in todays business settings with technology. I engaged in various technology activites and have worked in engineering design and pratice for more than 5 years.
My aims are to apply scientific research outcomes to facilitate human development and human-technology augmentation from diverse perspectives (Interdisciplinarity). My expertise is generally on interdisciplinary human behavior regarding technolgy and AI, creativity and innovation, business and consumption, collaboration and teamwork, and social issues.
Regarding some experiences of research, I have studied emotions in online communication situations using emoji. I have designed measurement tool for team collaboration. I am developing new perspectives on technology use and team innovation, such as AI for team cognition, technology use for hybrid CPD, and AI configuration for responsible decision. My PhD concentrates on team effectiveness in the digital era: exploring dynamics of hybrid teamwork for creative and complex tasks.
Inspired by my interdisciplinary background, I am open to various social issues, such as EDI, gender, neurodiversity, sustainability, well-being, preference, individuality, empathy, etc
Research interests
Broadly, I am interested in interdisciplinary human behavior regarding technology and AI, creativity and innovation, business and consumption, collaboration and teamwork, and social issues.
Regarding concepts
1. Technology and AI: Sociotechnical thinking, human-technology interaction, objectivity-subjectivity, human-AI augementation, extending AI funtionality and human characterstics, technology and AI in business.
2. Creativity and innovation: Cognitive and social processes with technology, complex and difficult tasks, bright and dark sides, and transforming creativitiy into business innovation.
3. Dynamics and teamwork: multilevel concepts and effects, time and temporality, complexity and integration, and interaction and collaboration. Such as Hybrid Teamwork in business and organizations.
Regarding methods
1. Advanced latent variable analysis: Bayesian structural equation modelling (SEM), Multilevel SEM, dynamic SEM, mixture model analysis, meta-analytic SEM, causal inference SEM with experiments and measurements.
2. Qualitative research: Narrative, thematic, phenomenological, observational, video, and critical.
3. Network analysis: Social network: actor, group, and whole network. Variable network: relationships and factors. Dynamic and multiple network. Development and prediction.
4. Qualitative-quantitative methods: Qualitative comparative analysis, necessary condition analysis, configurational comparative methods.
5. Experimental and behavioral methods: Various experiemental control and settings, behavior analysis with video data, team dynamics, and sequential analysis and causal inferences.
6. Machine learning and AI: Machine learning for data mining, AI knowledge synthesis, model comparisons and predictive analysis.
Qualifications
- BEd: Guidance and Counselling, Community guidance and counselling
- MSc: International human resource management and comparative industrial relations
- MBPsS: graduate membership in British Psychological Society
- International Affiliate: American Psychological Association
- Student member: Institution of Engineering and Technology
Research groups and institutes
- Workplace Behaviour Research Centre