Hongyi Building, Room 526
Research Field
Vice President and Distinguished Professor National Taipei University of Business, Taiwan Professor of Creative Technologies and Product Design
Dr. Kun-Huang Huarng serves as the Vice President and a Distinguished Professor at the National Taipei University of Business, Taiwan. His teaching and research expertise spans Decision Science and E-commerce. A globally recognized scholar, he has held numerous prestigious editorial leadership positions and continues to drive innovation in social science research methodology.
Editorial Leadership (Current Appointments)
- Co-Editor-in-Chief, International Journal of Economic and Technological Studies (2025–Present)
- Associate Editor, Journal of Innovation & Knowledge (SSCI) (2017–Present)
- Associate Editor, European Journal of Management and Business Economics (ESCI) (2019–Present)
- Associate Editor, Measurement: Interdisciplinary Research and Perspectives (SCI) (2024–Present)
- Associate Editor, ESIC Market (ESCI) (2024–Present)
- Founder Governor, Academy of Innovation, Entrepreneurship, and Knowledge (ACIEK) (2012–Present)
- Note: Formerly the Global Innovation and Knowledge Academy (2012–2018) and the Innovation, Entrepreneurship, and Knowledge Academy (2018–2019).
Editorial Leadership (Previous Appointments)
- Associate Editor, Journal of Business Research (2016–2023)
- Editor-in-Chief, International Journal of Business and Economics (EconLit) (2015–2019)
- Regional Editor, Journal of Modelling in Management (2006–2012)
- Advisory Editor, Journal of Economics and Management (EconLit) (2010–2018)
- Artificial Intelligence: Application of AI methods in e-commerce and decision support systems.
- Data Sciences: Development of forecasting models and pattern recognition for e-commerce.
- Research Methodology: Innovative research methods for social sciences (Doctoral candidates and postgraduate students are warmly invited to collaborate).
- Artificial Intelligence: Application of AI methods in e-commerce and decision support systems.
- Data Sciences: Development of forecasting models and pattern recognition for e-commerce.
- Research Methodology: Innovative research methods for social sciences (Doctoral candidates and postgraduate students are warmly invited to collaborate).
- ACIEK Fellow, Academy of Innovation, Entrepreneurship, and Knowledge (2025)
- World’s Top 2% Scientists, Stanford University/Elsevier (2020–2024)
- Career-Long Citation Impact Recognition, (2020–2024)
- Top Scholar, ScholarGPS (2024)
- Inaugural Best Reviewer Award, European Journal of International Management (2023)
- Life Fellow, International Society of Management Engineers (2014)
Ph.D., Computer Science, Texas A&M University, USA
Job Description
The ideal candidate can translate complex customer behavior into actionable insights that optimize the conversion funnel.
Preferred Intern Educational Level
Master or Doctoral student.
Skill sets or Qualities
. E-commerce Domain Knowledge
Customer Lifecycle Marketing: Understanding of Acquisition, Retention, and Churn. They should know how to calculate and predict Customer Lifetime Value (CLV).
Funnel Optimization: Deep knowledge of the "Path to Purchase"—from landing pages and search results to cart checkout and payment.
Growth Metrics: Familiarity with industry-specific KPIs like CAC (Customer Acquisition Cost), AOV (Average Order Value), and ROAS (Return on Ad Spend).
2. Data Science Skills
Predictive Modeling: Ability to build propensity models (who is likely to buy?) and churn prediction (who is likely to leave?).
Personalization & Recommender Systems: Proficiency in collaborative filtering or content-based filtering to power "You might also like" features.
Experimental Design (A/B Testing): Beyond just running tests, they need to understand statistical significance, sample sizing, and Bayesian vs. Frequentist approaches in a fast-paced retail environment.
Market Basket Analysis: Using association rules (like the Apriori algorithm) to understand product affinities and cross-sell opportunities.