معرفی
Mark Johnman is a Lecturer at the Bond Business School, Bond University. His role focuses on teaching and academic contributions in the field of marketing communications and data science applications across multiple disciplines.
He holds a Ph.D. from Bond Business School, completed in June 2021. His doctoral thesis, Quantifying Advertising Media Effectiveness: Insights from Data-Driven Modelling, was supervised by Bruce J Vanstone and Adrian Gepp.
Research Interests: Johnman’s research centers on quantifying marketing communication effectiveness using data science techniques. He explores applications of data analytics in sports performance optimization, financial market sentiment analysis, and health-related decision-making. His work integrates Bayesian methods, predictive analytics, and machine learning to enhance persistence modeling and decision support systems for organizations.
Articles Trends: His publications reflect a focus on leveraging sentiment analysis and big data in finance and sports. Recent works include improving athlete/team performance through data-driven strategies and analyzing investor sentiment impacts on markets. Earlier research applied sentiment analysis to predict stock market volatility and returns.
Advising & Grants: Johnman has participated in non-HDR student supervision (2016) alongside Bruce Vanstone but no specific student names are listed. No grants are detailed in the provided texts. His research outputs include 4 peer-reviewed contributions (2 articles, 2 abstracts) between 2018–2020.
