Konstantinos Nikolopoulos
Orcid: 0000-0003-4268-2866Affiliations:
- Bangor University, Bangor Business School, UK (since 2010)
- University of Manchester, Manchester Business School, UK (former)
- University of Lancaster, Lancaster University Management School, Centre for Forecasting, UK (former)
- National Technical University of Athens, Greece (EngD 2002)
According to our database1,
Konstantinos Nikolopoulos
authored at least 36 papers
between 2003 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Int. J. Prod. Res., March, 2024
2023
Statistical, machine learning and deep learning forecasting methods: Comparisons and ways forward.
J. Oper. Res. Soc., March, 2023
Operational research in the time of COVID-19: The 'science for better' or worse in the absence of hard data<sup>1</sup>.
J. Oper. Res. Soc., February, 2023
2022
Proceedings of the GoodIT 2022: ACM International Conference on Information Technology for Social Good, Limassol, Cyprus, September 7, 2022
2021
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions.
Eur. J. Oper. Res., 2021
Superforecasting reality check: Evidence from a small pool of experts and expedited identification.
Eur. J. Oper. Res., 2021
Aggregate Selection, Individual Selection, and Cluster Selection: An Empirical Evaluation and Implications for Systems Research.
Cybern. Syst., 2021
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
2020
Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail.
Int. J. Prod. Res., 2020
2018
2016
Eur. J. Oper. Res., 2016
2014
2013
Ind. Manag. Data Syst., 2013
Optimizing Theta Model for Monthly Data.
Proceedings of the ICAART 2013, 2013
2012
A web forecasting system supporting policy implementation: the case of 'digital planning' in Greece.
Int. J. Bus. Inf. Syst., 2012
2011
An aggregate-disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis.
J. Oper. Res. Soc., 2011
Eur. J. Oper. Res., 2011
Turning Artificial Neural Networks into a Marketing Science Tool - Modelling and Forecasting the Impact of Sales Promotions.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
2010
The impact of electronic government on democracy: e-democracy through e-participation.
Electron. Gov. an Int. J., 2010
2008
Int. J. Serv. Stand., 2008
2007
Int. J. Intell. Syst. Technol. Appl., 2007
Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches.
Eur. J. Oper. Res., 2007
Proceedings of the Artificial Neural Networks, 2007
2006
Identifying the characteristics of successful expert systems: an empirical evaluation.
Int. J. Inf. Technol. Manag., 2006
2005
Electron. Gov. an Int. J., 2005
2004
Inf. Manag. Comput. Secur., 2004
2003
Supporting Business Decisions through Standard Forecasting Practices: a Case Study in a Greek tobacco Distribution Company.
J. Inf. Knowl. Manag., 2003
J. Comput. Inf. Syst., 2003
J. Comput. Inf. Syst., 2003
Inf. Manag. Comput. Secur., 2003
Int. J. Softw. Eng. Knowl. Eng., 2003