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Human resource management and performance: A neural network analysis

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  • Stavrou, Eleni T.
  • Charalambous, Christakis
  • Spiliotis, Stelios

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  • Stavrou, Eleni T. & Charalambous, Christakis & Spiliotis, Stelios, 2007. "Human resource management and performance: A neural network analysis," European Journal of Operational Research, Elsevier, vol. 181(1), pages 453-467, August.
    • Handle: RePEc:eee:ejores:v:181:y:2007:i:1:p:453-467
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    2. Mark R. Rank & Thomas A. Hirschl, 2001. "Rags or Riches? Estimating the Probabilities of Poverty and Affluence across the Adult American Life Span," Social Science Quarterly, Southwestern Social Science Association, vol. 82(4), pages 651-669, December.
    3. David E. Guest & Jonathan Michie & Neil Conway & Maura Sheehan, 2003. "Human Resource Management and Corporate Performance in the UK," British Journal of Industrial Relations, London School of Economics, vol. 41(2), pages 291-314, June.
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    9. Catherine Truss, 2001. "Complexities and Controversies in Linking HRM with Organizational Outcomes," Journal of Management Studies, Wiley Blackwell, vol. 38(8), pages 1121-1149, December.
    10. Ichniowski, Casey & Shaw, Kathryn & Prennushi, Giovanna, 1997. "The Effects of Human Resource Management Practices on Productivity: A Study of Steel Finishing Lines," American Economic Review, American Economic Association, vol. 87(3), pages 291-313, June.
    11. Kate A. Smith, 1999. "Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 15-34, February.
    12. John F. Veiga & Michael Lubatkin & Roland Calori & Philippe Véry & Alex Tung, 2000. "Using neutral network analysis to uncover the trace effects of national culture," Post-Print hal-02311647, HAL.
    13. Eleni T. Stavrou & Chris Brewster, 2005. "The Configurational Approach to Linking Strategic Human Resource Management Bundles with Business Performance: Myth or Reality?," management revue - Socio-Economic Studies, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 16(2), pages 186-201.
    14. Moreno, David & Marco, Paulina & Olmeda, Ignacio, 2006. "Self-organizing maps could improve the classification of Spanish mutual funds," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1039-1054, October.
    15. Rita Campos e Cunha & Miguel Pina e Cunha & Antonio Morgado & Chris Brewster, 2002. "Market forces, strategic management, HRM practices and organizational performance, a model based in European sample," Nova SBE Working Paper Series wp415, Universidade Nova de Lisboa, Nova School of Business and Economics.
    16. George A. Boyne, 2002. "Public and Private Management: What’s the Difference?," Journal of Management Studies, Wiley Blackwell, vol. 39(1), pages 97-122, January.
    17. John F Veiga & Michael Lubatkin & Roland Calori & Phillipe Very & Y Alex Tung, 2000. "Using Neural Network Analysis to Uncover the Trace Effects of National Culture," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(2), pages 223-238, June.
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    2. Messner, Wolfgang, 2024. "Distance is the spice, but not the whole enchilada: Country-pair psychic distance stimuli and country fixed effects in a deep learning implementation of the trade flow model," International Business Review, Elsevier, vol. 33(1).
    3. Soo-Seon Park & Murat Hancer, 2012. "A Comparative Study of Logit and Artificial Neural Networks in Predicting Bankruptcy in the Hospitality Industry," Tourism Economics, , vol. 18(2), pages 311-338, April.
    4. Javier Garcia-Lacalle, 2010. "Balancing physician workload and patient satisfaction: a dilemma for hospital managers," Public Money & Management, Taylor & Francis Journals, vol. 30(3), pages 183-188, May.
    5. Egidio Riva & Mario Lucchini, 2018. "Firm performance: taxonomy of European companies using self-organizing maps," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 457-477, January.
    6. Messner, Wolfgang, 2022. "Advancing our understanding of cultural heterogeneity with unsupervised machine learning," Journal of International Management, Elsevier, vol. 28(2).

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