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 last year 

This module is significantly important in business and just understanding concepts like these exist and also helps to make informed decision is great

“Compared with other classes, the teacher explain what to do and how to do it in the lab/seminar for the practical”

“The lectures were well structured and had ample opportunities to provide feedback”

“I liked that there were optional materials for people who don't have the background and needed to brush up on prerequisite skills”

“The seminars were really good and helped to understand the topics well”

UG Level LUBS2931 Evidence-Based Consultancy (Module Leader)

Indicative evaluation comment from last year

The contents in the module are very clear to understand throughout the outstanding delivery from the lecturers. The seminars helped very well to enhance my understanding of the module content. Seminars and Lectures were delivered on the same day which help with connecting what we learned and the activities we did in the seminar

“Consultancy is one of the main industry which I am focusing on to work in and this module has helped me gain immense knowledge”

“I like the knowledge which covered over the module and tutors seem very interested in the subject”

“I liked having an experienced lecturer giving up to date information about consulting”

“I liked that seminar material each week included the application of the weeks lecture material. Lectures we're also enjoyable as they were not monotonous”

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