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  • Search: subject:"Operational Data"
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Year of publication
Subject
All
Big Data 3 Entrepreneurship 3 Artificial intelligence 2 Big data 2 Creative Destruction 2 Creativity 2 Entrepreneurship approach 2 Kreativität 2 Künstliche Intelligenz 2 Machine Learning 2 Operational Data 2 Schumpeterian approach 2 Schumpeterismus 2 Bevölkerungsentwicklung 1 COVID-19 1 Coronavirus 1 Creative destruction 1 Data Analytics 1 Data Mining 1 Data analytics 1 Data mining 1 Demographic development 1 Demographie 1 Demography 1 Epidemic 1 Epidemie 1 Fertility 1 Fertilität 1 Gender equality 1 Generative AI 1 Gleichberechtigung 1 Impact assessment 1 Innovation 1 Machine learning 1 Nichtparametrisches Verfahren 1 Nonparametric statistics 1 OECD countries 1 OECD-Staaten 1 Open Source 1 Open source 1
more ... less ...
Online availability
All
Free 5
Type of publication
All
Article 3 Book / Working Paper 2
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Working Paper 2 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 5
Author
All
Norbäck, Pehr-Johan 3 Persson, Lars 3 Feng, Qi 1 Kalabichina, Irina E. 1 Shanthikumar, J. George 1
Published in...
All
IFN Working Paper 1 IFN working paper 1 Population and economics : PE 1 Production and operations management : the flagship research journal of the Production and Operations Management Society 1 Small business economics : an international journal 1
Source
All
ECONIS (ZBW) 4 EconStor 1
Showing 1 - 5 of 5
Cover Image
Why generative AI can make creative destruction more creative but less destructive
Norbäck, Pehr-Johan; Persson, Lars - In: Small business economics : an international journal 63 (2024) 1, pp. 349-377
Persistent link: https://www.econbiz.de/10014633076
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Why big data can make creative destruction more creative - But less destructive
Norbäck, Pehr-Johan; Persson, Lars - 2023
The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...
Persistent link: https://www.econbiz.de/10014542206
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Cover Image
Why big data can make creative destruction more creative - but less destructive
Norbäck, Pehr-Johan; Persson, Lars - 2023
The application of machine learning (ML) to big data has become increasingly important. We propose a model where firms have access to the same ML, but incumbents have access to historical data. We show that big data raises entrepreneurial barriers making the creative destruction process less...
Persistent link: https://www.econbiz.de/10014232974
Saved in:
Cover Image
The framework of parametric and nonparametric operational data analytics
Feng, Qi; Shanthikumar, J. George - In: Production and operations management : the flagship … 32 (2023) 9, pp. 2685-2703
Persistent link: https://www.econbiz.de/10014369442
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Cover Image
Demographic and social issues of the pandemic
Kalabichina, Irina E. - In: Population and economics : PE 4 (2020) 2, pp. 103-122
Persistent link: https://www.econbiz.de/10012419172
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