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Dr Konstantinos (Kostas/Gus) Nikolopoulos, Dipl. Eng. & D.Eng. (ΕΜΠ), ITP(Northwestern)
Dr Konstantinos (Kostas/Gus) Nikolopoulos, Dipl. Eng. & D.Eng. (ΕΜΠ), ITP(Northwestern)
Professor in Business Information Systems & Analytics, Durham University
Verified email at durham.ac.uk - Homepage
Title
Cited by
Cited by
Year
The theta model: a decomposition approach to forecasting
V Assimakopoulos, K Nikolopoulos
International journal of forecasting 16 (4), 521-530, 2000
5902000
Effective forecasting and judgmental adjustments: an empirical evaluation and strategies for improvement in supply-chain planning
R Fildes, P Goodwin, M Lawrence, K Nikolopoulos
International journal of forecasting 25 (1), 3-23, 2009
5892009
Forecasting: theory and practice
F Petropoulos, D Apiletti, V Assimakopoulos, MZ Babai, DK Barrow, ...
International Journal of Forecasting 38 (3), 705-871, 2022
4802022
Forecasting and planning during a pandemic: COVID-19 growth rates, supply chain disruptions, and governmental decisions
K Nikolopoulos, S Punia, A Schäfers, C Tsinopoulos, C Vasilakis
European journal of operational research 290 (1), 99-115, 2021
4732021
Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction
SF Crone, M Hibon, K Nikolopoulos
International Journal of forecasting 27 (3), 635-660, 2011
3672011
Forecasting and operational research: a review
R Fildes, K Nikolopoulos, SF Crone, AA Syntetos
Journal of the Operational Research Society 59, 1150-1172, 2008
3652008
Supply chain forecasting: Theory, practice, their gap and the future
AA Syntetos, Z Babai, JE Boylan, S Kolassa, K Nikolopoulos
European Journal of Operational Research 252 (1), 1-26, 2016
3222016
Internationalization orientation in SMEs: The mediating role of technological innovation
M Bagheri, S Mitchelmore, V Bamiatzi, K Nikolopoulos
Journal of International Management 25 (1), 121-139, 2019
2422019
‘Horses for Courses’ in demand forecasting
F Petropoulos, S Makridakis, V Assimakopoulos, K Nikolopoulos
European Journal of Operational Research 237 (1), 152-163, 2014
2292014
Fathoming Porter's five forces model in the internet era
GD Karagiannopoulos, N Georgopoulos, K Nikolopoulos
info 7 (6), 66-76, 2005
1872005
An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis
K Nikolopoulos, AA Syntetos, JE Boylan, F Petropoulos, ...
Journal of the Operational Research Society 62, 544-554, 2011
1762011
The effects of integrating management judgement into intermittent demand forecasts
AA Syntetos, K Nikolopoulos, JE Boylan, R Fildes, P Goodwin
International journal of production economics 118 (1), 72-81, 2009
1732009
Judging the judges through accuracy-implication metrics: The case of inventory forecasting
AA Syntetos, K Nikolopoulos, JE Boylan
International Journal of Forecasting 26 (1), 134-143, 2010
1422010
Forecasting with cue information: A comparison of multiple regression with alternative forecasting approaches
K Nikolopoulos, P Goodwin, A Patelis, V Assimakopoulos
European journal of operational research 180 (1), 354-368, 2007
1352007
Judgmental selection of forecasting models
F Petropoulos, N Kourentzes, K Nikolopoulos, E Siemsen
Journal of Operations Management 60, 34-46, 2018
1332018
Integrating industrial maintenance strategy into ERP
K Nikolopoulos, K Metaxiotis, N Lekatis, V Assimakopoulos
Industrial Management & Data Systems 103 (3), 184-191, 2003
1222003
Transformation strategies for the supply chain: The impact of industry 4.0 and digital transformation
R Preindl, K Nikolopoulos, K Litsiou
Supply Chain Forum: An International Journal 21 (1), 26-34, 2020
1212020
The role of competencies in shaping the leadership style of female entrepreneurs: the case of North West of E ngland, Y Orkshire, and N orth W ales
V Bamiatzi, S Jones, S Mitchelmore, K Nikolopoulos
Journal of Small Business Management 53 (3), 627-644, 2015
1202015
Providing support for the use of analogies in demand forecasting tasks
WY Lee, P Goodwin, R Fildes, K Nikolopoulos, M Lawrence
International Journal of Forecasting 23 (3), 377-390, 2007
1182007
Deep learning with long short-term memory networks and random forests for demand forecasting in multi-channel retail
S Punia, K Nikolopoulos, SP Singh, JK Madaan, K Litsiou
International journal of production research 58 (16), 4964-4979, 2020
1092020
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