Office location 6.13 Business School, Manchester Campus
Office hours Thursday 10:00 - 11:00 and 14:00 - 15:00
Who am I?
Who am I?
I joined Manchester Metropolitan Business School in 2019. Before coming here, I worked as an Associate Lecturer in Salford Business School and as an Adjunct Associate Professor in marketing at ISCID-CO Business School, France. I have worked as a consultant in the Ministry of Finance and Economics, Greece. I have also worked in Public Relations, Advertising, Communication and Promotion Consultancy in private sectors both in the UK and in Greece for the best part of the last two decades. I am the Programme Leader for BA in Retail Management and Marketing in Manchester Metropolitan Business School and a Visiting Researcher in forLab (www.forLAb.eu), The Forecasting Laboratory, in Bangor Business School. I am currently pursuing my PhD, and my research focuses on forecasting the success of megaprojects with the use of judgmental forecasting techniques. My research interests also include the theoretical developments of predictive analytics modelling in a retail and public service context. My work has appeared in leading international journals, including the International Journal of Forecasting, Supply Chain Forum, Chartered Banker Magazine and the International Journal of Production Research.
Academic and professional qualifications
• BA in Graphic Design, Athens University of Applied Sciences • MA in Applied Research and Consultancy, Lancaster University • PGCE, School of Pedagogical and Technological Education, ASPETE University, Athens, Greece • PhD candidate (Project Management), Salford University
Konstantia (Dina) has previously worked in Salford Business School as an Associate Lecturer and delivered lectures for Level 6 and 7 students. She has also supervised MA/MSc dissertations in topics of project management and supply chain management.
• Greek: Native speaker • English: Full Professional working proficiency • Italian: Intermediate proficiency
Research Expertise, Publications & Grants
My research mainly falls into Forecasting methods and systems and more specific into individual and group judgemental forecasting methods, most notably variations of Structured Analogies , Delphi and Interaction Groups. Application areas vary from megaprojects, healthcare, humanitarian and retail operations.
S. Punia, K. Nikolopoulos, SP. Singh, JK. Madaan, K. Litsiou Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail. International Journal of Production Research.