Dr Panagiotis Stamolampros

Profile

PhD, Management, Norwich Business School, University of East Anglia, UK  

MBA International, Athens University of Economics and Business, Greece

BSc International Economics and Finance, Athens University of Economics and Business, Greece

Fellow of the Higher Education Academy

Panagiotis specializes in Business Analytics, bridging data science and behavioral research to drive impactful studies in finance, marketing, and operations. With over a decade of experience, he leads projects on online reviews, financial services, and workplace behaviors.

Responsibilities

• Subject Group Leader for the Decision Research (DR) group
• Head of Year for Bsc Business Analytics Programme
• ATOD Workload Coordinator

Research interests

Panagiotis research sits at the intersection of marketing, operations, and finance, with a focus on the interplay between product quality and economic factors. His work leverages user-generated content to reduce information asymmetries, while exploring the behavioral and cultural biases affecting consumer perceptions. By integrating innovation diffusion, quality management, and social psychology, his research assesses the predictive value of such content for stakeholders, including investors and employees.

He has published extensively in top-tier journals, including, Safety Science, Public Opinions Quarterly, European Journal of Operational Research, International Journal of Production and Operations Management, Economics Letters, Tourism Management, Annals of Tourism Research, Journal of Travel Research, International Journal of Hospitality Management, International Journal of Contemporary Hospitality Management, Expert Systems with Applications, Current Issues in Hospitality and Journal of Air Transport Management. Panagiotis research has also appeared in top academic conferences in the areas of Operations or Marketing such as in EurOMA, EMAC, INFORMS, ISMS

Panagiotis research has garnered media attention from outlets like New York Times, Moneyish, Yahoo!news, World Economic Forum, businessadvice, The conversation, HR Zone, Independent, MoneyWeek, Onrec, HR Grapevine, Quartz at Work, Esquire (Spanish). His published work on Public Opinion Quarterly and Expert Systems with Applications has been adapted from Glassdoor to release an employee confidence index for predicting the US economy.

Panagiotis has been nominated for the REA-EC (Research Excellence Award- Early Career) and REA-HIP (Research Excellence Award- Best Journal Article with High Impact Potential)  categories for the Dean’s Awards for Research Excellence Scheme for 2021-22 and for the REA-EC (Research Excellence Award- Early Career) for 2022-23.

Grants

• 06/2024-02/2025 £9,487 from BA/Leverhulme Small Research Grants for the project “Big Data Analytics and Firm Performance”
• Azduna data from Urban Big Data Centre worth of £35k
• Safegraph  $4,000 allowance for research data 
• Full scholarship from the UEA postgraduate studentship scheme

Profesional Activities  

Ad-Hoc Associate Editor: Journal of Business Analytics

Guest Editor: Electronic Markets (Springer)
Editorial Board: Frontiers in Research Metrics and Analytics, Journal of Business Analytics

Topic Editor: Sustainability (MDBI)
Ad-Hoc Referee: Tourism Management (Elsevier), Annals of Tourism Research (Elsevier), Electronic Markets, International Journal of Hospitality Management (Elsevier), Omega (Elsevier), Journal of Consumer Behaviour (Wiley), Simulation Modelling Practice and Theory (Elsevier), Program (Emerald)

PhD Supervision

• Current postgraduate researchers: Jiaji Li

Panagiotisis actively seeking PhD candidates interested in empirical research across finance, marketing, HR analytics, and operations. To discuss opportunities, please email your CV and research proposal.

Qualifications

• Fellow of the Higher Education Academy

Professional memberships

• Centre for Decision Research

Student education

Panagiotis is currently involved in the following modules at Leeds University Business School:

PG Level LUBS5309 Forecasting and Advanced Business Analytics (Module Leader)

Indicative evaluation comments from academic year 2024-2025

Fantastic module, teaching was excellent

“Is one of the most important along Machine Learning. Should put more emphasis on both of them . The professor was outstanding”

“Really good extra material, classes are good”

“Comprehensive inclusion of multiple forecasting models and affluent demonstration and explanation of theories. Also provides guidance and access to Datacamp which reinforces my learning outside of lessons”

“The module has been a really good introduction to advanced techniques in Business Analytics.”

UG Level LUBS2931 Evidence-Based Consultancy (Module Leader)

Indicative evaluation comment from academic year 2024-25

I liked the resources the professor used like videos, charts and examples, given it made the class more dynamic and interesting. The seminars were also very helpful to consolidate the concepts I learned and to apply them to real–life examples, the feedback given also helped me understand what I was doing right or wrong and guided my though process.

“Enjoyed the pace and breadth of the lectures. Also enjoyed the case studies and want to see more of those!”

“Seminars had good application and pratice Lectures were engaging”

In the past I have been also involved in the teaching of the following modules.

LUBS2920 Advanced Analytical methods (Module Leader), LUBS3200 Business Analytics 3: Analytics Project

Research groups and institutes

• Centre for Decision Research