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Results of an empirical investigation on the anticipated improvement areas of the ISO 9001:2000 standard
Gotzamani, Katerina - In: Total quality management & business excellence : an … 21 (2010) 5/6, pp. 687-704
Persistent link: https://www.econbiz.de/10003995860
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Special issue: The human dimension and organizational performance
Dahlgaard-Park, Su Mi (contributor) - 2012
Persistent link: https://www.econbiz.de/10009509656
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Effective implementation for introducing ISO/TS 16949 in semiconductor manufacturing industries
Pai, Fan-yun; Yeh, Tsu-ming - In: Total quality management & business excellence : an … 24 (2013) 4, pp. 462-478
Persistent link: https://www.econbiz.de/10009752071
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From ISO quality standards to an integrated management system : an implementation process in SME
Garengo, Patrizia; Biazzo, Stefano - In: Total quality management & business excellence : an … 24 (2013) 3, pp. 310-335
Persistent link: https://www.econbiz.de/10009752093
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Developing a performance management model for the implementation of TQM practices in public education centres
Mateos-Ronco, Alicia; Hernández Mezquida, José Manuel - In: Total quality management & business excellence : an … 29 (2018) 5, pp. 546-579
Persistent link: https://www.econbiz.de/10011854098
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Matrix evolutions : synthetic correlations and explainable machine learning for constructing robust investment portfolios
Papenbrock, Jochen; Schwendner, Peter; Jaeger, Markus; … - In: The journal of financial data science 3 (2021) 2, pp. 51-69
Persistent link: https://www.econbiz.de/10012519242
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Building cross-sectional systematic strategies by learning to rank
Poh, Daniel; Lim, Bryan; Zohren, Stefan; Roberts, Stephen - In: The journal of financial data science 3 (2021) 2, pp. 70-86
Persistent link: https://www.econbiz.de/10012519246
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A machine learning approach in regime-switching risk parity portfolios
Uysal, A. Sinem; Mulvey, John M. - In: The journal of financial data science 3 (2021) 2, pp. 87-108
Persistent link: https://www.econbiz.de/10012519262
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Interpretable machine learning for diversified portfolio construction
Jaeger, Markus; Krügel, Stephan; Marinelli, Dimitri; … - In: The journal of financial data science 3 (2021) 3, pp. 31-51
Persistent link: https://www.econbiz.de/10012613536
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Does the CFTC report have predictive power : machine learning approach
Proskurin, Oleksandr - In: The journal of financial data science 3 (2021) 3, pp. 139-151
Persistent link: https://www.econbiz.de/10012613556