The mediating effect of strategic human resource practices on knowledge management and firm performance

  1. Antonio Aragón Sánchez 1
  2. Gregorio Sánchez Marín 1
  3. Arleen Mueses Morales 1
  1. 1 Department of Business Management and Finance, Faculty of Business Economics, University of Murcia
Revista:
Revista europea de dirección y economía de la empresa

ISSN: 1019-6838

Año de publicación: 2015

Volumen: 24

Número: 3

Páginas: 138-148

Tipo: Artículo

DOI: 10.1016/J.REDEE.2015.03.003 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Revista europea de dirección y economía de la empresa

Resumen

La evidencia empírica previa señala que tanto la gestión del conocimiento como las prácticas de recursos humanos pueden interactuar de diversas formas para mejorar los resultados de la empresa. Partiendo de esta idea, el objetivo de este trabajo es proponer y contrastar un modelo que examina la gestión de recursos humanos como mecanismo catalizador de la efectividad de la gestión del conocimiento. Nuestros hallazgos confirman que las estrategias de codificación y personalización del conocimiento influyen positivamente en los resultados de la empresa a través de determinadas prácticas estratégicas de recursos humanos de alto rendimiento, lo que confirma el papel mediador de la gestión de recursos humanos en dicha relación y la necesidad de ajustar las prácticas de recursos humanos a las característicasestratégicas de la organización.

Referencias bibliográficas

  • Afiouni, F. (2007). Human resource management and knowledge management: Aroad map toward improving organizational performance. Journal of AmericanAcademy of Business, 11(2), 124-130.
  • Ambrosini, V., & Bowman, C. (2001). Tacit knowledge: Some suggestions for operationalization. Journal of Management Studies, 38(6), 811-829.
  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice:A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
  • Aragón-Sánchez, A., Barba-Aragón, I., & Sanz-Valle, R. (2003). Effects of training onbusiness results. International Journal of Human Resource Management, 14(6), 956-980.
  • Arthur, J. B. (1994). Effects of human resource systems on manufacturing perfor-mance and turnover. Academy of Management Journal, 37(3), 670-687.
  • Bagozzi, R., & Yi, Y. (1988). On the evaluation of structural equation models. Academy of Marketing Science, 16(1), 74-94.
  • Bagozzi, R., & Yi, Y. (2012). Specification, evaluation, and interpretation of structuralequation models. Journal of the Academic of Marketing Science, 40, 8-34.
  • Barney, J. (1991). Firm resources and sustained competitive advantage. Journal ofManagement, 17(1), 99-120.
  • Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinctionin social psychological research: Conceptual, strategic and statistical consider-ations. Journal of Personality and Social Psychology, 51, 1173-1182.
  • Batt, R. (2002). Managing customer services: Human resource practices, quit rates, and sales growth. Academy of Management Journal, 45(3), 587-597.
  • Becker, B., & Gerhart, B. (1996). The impact of human resource management onorganizational performance: Progress and prospects. Academy of ManagementJournal, 39(4), 779-801.
  • Becker, B., & Huselid, M. A. (1998). High performance work systems and firm per-formance: A synthesis of research and managerial implications. In G. R. Ferris(Ed.), Research in Personnel and Human Resources Management (pp. 165-197).Greenwich, CT: JAI Press.
  • Beltrán-Martín, I., Roca-Puig, V., Escrig-Tena, A., & Bou-Llusar, J. C. (2008). Humanresource flexibility as a mediating variable between high performance worksystems and performance. Journal of Management, 34, 1009-1044.
  • Black, J. A., & Boal, K. B. (1994). Strategic resources: Traits, configurations and paths tosustainable competitive advantage. Strategic Management Journal, 15, 131-148.
  • Chen, C. J., & Huang, J. W. (2009). Strategic human resource practices and innovationperformance - The mediating role of knowledge management capacity. Journal of Business Research, 62, 104-114.
  • Chen, E. T., Monahan, J., & Feng, D. (2009). A longitudinal cross-section examination of the implementation of knowledge management systems and firm perfor-mance. Journal of International Technology and Information Management, 18(2), 223-238.
  • Choi, B., & Lee, H. (2003). An empirical investigation of KM styles and their effect oncorporate performance. Information & Management, 40(5), 403-417.
  • Chou, C. P., Bentler, P. M., & Satorra, A. (1991). Scaled test statistic and robust standarderrors for non-normal data in covariance structure analysis. British Journal ofMathematical and Statistical Psychology, 44, 347-357.
  • Chuang, C., Jackson, S. E., & Jiang, Y. (2013). Can knowledge-intensive teamwork bemanaged? Examining the roles of HRM systems, leadership, and tacit knowl-edge. Journal of Management, http://dx.doi.org/10.1177/0149206313478189
  • Collins, C. J., & Clark, K. D. (2003). Strategic human resource practices, top manage-ment team social networks, and firm performance: The role of human resourcein creating organizational competitive advantage. Academy of Management Jour-nal, 46(6), 740-751.
  • Darroch, J. (2005). Knowledge management, innovation and firm performance. Jour-nal of Knowledge Management, 9(3), 101-115.
  • Davenport, T. H., & Völpel, S. C. (2001). The rise of knowledge towards attentionmanagement. Journal of Knowledge Management, 5(3), 212-221.
  • Delaney, J. T., & Huselid, M. A. (1996). The impact of human resource managementpractices on perceptions of organizational performance. Academy of Manage-ment Journal, 39(4), 949-969.
  • Delery, J. E., & Doty, D. H. (1996). Modes of the orizing in strategic human resourcemanagement: Tests of universalistic, contingency, and configurational perfor-mance predictions. Academy of Management Journal, 39(4), 802-835.
  • Delery, J. E., & Shaw, J. D. (2001). The strategic management of people in workorganizations: Review, synthesis, and extension. In G. R. Ferris (Ed.), Researchin personnel and human resources management (20) (pp. 165-197). Bingley, UK:Emerald Group Publishing Limited.
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservablevariables and measurement error: Algebra and statistics. Journal of MarketingResearch, 18(3), 7-23.
  • Gerbing, D. W., & Anderson, J. C. (1988). An updated paradigm for scale develop-ment incorporating unidimensionality and its assessment. Journal of MarketingResearch, 25(2), 186-192.
  • Gilman, M., & Raby, S. (2013). National context as a predictor of high-performancework system effectiveness in small-to-medium-sized enterprises (SMEs): AUK-French comparative analysis. International Journal of Human Resource Man-agement, 24, 372-390.
  • Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Man-agement Journal, 17, 109-122.
  • Guest, D. E. (1997). Human resource management and performance: A review andresearch agenda. International Journal of Human Resource Management, 8(3), 263-276.
  • Guest, D. E., Michie, J., Conway, N., & Sheehan, M. (2003). Human resource manage-ment and corporate performance in the UK. British Journal of Industrial Relations, 41(2), 291-314.
  • Guthrie, J. P. (2001). High-involvement work practices, turnover, and productivity:Evidence from New Zealand. Academy of Management Journal, 44(1), 180-190.
  • Haesli, A., & Boxall, P. (2005). When knowledge management meets HR strat-egy: An exploration of personalization-retention and codification-recruitmentconfigurations. International Journal of Human Resource Management, 16(11), 1955-1975.
  • Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2006). Multivariate dataanalysis. Englewood Cliffs, NJ: Prentice Hall.
  • Hansen, M. T. (1999). The search-transfer problem: The role of weak ties in shar-ing knowledge across organizational subunits. Administrative Science Quarterly, 44(1), 82-111.
  • Hansen, M. T., Nohria, N., & Tierney, T. (1999). What's your strategy for managingknowledge? Harvard Business Review, 77(2), 106-116.
  • Hoyle, R. H., & Panter, A. T. (1995). Writing about structural equation models. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues and applications (pp.158-176). Thousand Oaks, CA: Sage Publications.
  • Hsiao, Y.-C., Chen, C.-J., & Chang, S.-C. (2011). Knowledge management capacity andorganizational performance: The social interaction view. International Journal ofManpower, 32(5/6), 645-660.
  • Huang, C. L. (2011). The influence of knowledge management implementationon organizational performance at Taiwan-listed integrated circuit companies:Using intellectual capital as the mediator. Journal of Global Business Management, 7(2), 1-17.
  • Huselid, M. A. (1995). The impact of human resource management practices onturnover, productivity, and corporate financial performance. Academy of Man-agement Journal, 38(3), 635-672.
  • Hussi, T. (2004). Reconfiguring knowledge management - Combining intellectualcapital, intangible assets, and knowledge creation. Journal of Knowledge Man-agement, 8(2), 36-52.
  • Ichniowski, C., Shaw, K., & Prennushi, G. (1997). The effects of human resource prac-tices on manufacturing performance: A study of steel finishing lines. AmericanEconomic Review, 87, 291-313.
  • ISIC Rev. 3 Technology Intensity Definition. (2011). OECD, Online Document. Directorate for Science, Technology and Industry. Economic Analysis andStatistics Division. Available from Internet: www.oecd.org/dataoecd/43/41/48350231.pdf (Accessed 15.12.13)
  • pdf (Accessed 15.12.13)Jackson, S. E., Schuler, R. S., & Jiang, K. (2014). An aspirational framework for strategichuman resource management. Academy of Management Annals, 8, 1-56.
  • Jiang, K., Takeuchi, R., & Lepak, D. P. (2013). Where do we go from here? New per-spectives on the black box in strategic human resource management research. Journal of Management Studies, 50(8), 1448-1480.
  • Koch, M. J., & McGrath, R. (1996). Improving labor productivity: Human resourcemanagement policies do matter. Strategic Management Journal, 17, 335-354.
  • Lepak, D. P., Takeuchi, R., & Snell, S. A. (2003). Employment flexibility and firm perfor-mance: Examining the interaction effects of employment mode, environmentaldynamism, and technological intensity. Journal of Management, 29, 681-703.
  • Liao, Y.-S. (2011). The effect of human resource management control systems on therelationship between knowledge management strategy and firm performance. International Journal of Manpower, 32(5/6), 494-511.
  • López-Nicolás, C., & Meroño-Cerdán, A. (2011). Strategic knowledge management, innovation and performance. International Journal of Information Management, 31, 502-509.
  • MacDuffie, J. P. (1995). Human resource bundles and manufacturing performance:Organizational logic and flexible production systems in the world auto industry. Industrial and Labor Relations Review, 48(2), 197-221.
  • Marsh, H. W., & Hocevar, D. (1985). Application of confirmatory factor analysis to thestudy of self-concept: First- and higher order factor models and their invarianceacross groups. Psychological Bulletin, 97, 362-582.
  • Martensson, M. (2000). A critical review of knowledge management as a manage-ment tool. Journal of Knowledge Management, 4(3), 204-216.
  • Meso, P., & Smith, R. (2000). A resource-based view of organizational knowledgemanagement systems. Journal of Knowledge Management, 4(3), 224-234.
  • Mills, A. M., & Smith, T. A. (2011). Knowledge management and organizationalperformance: A decomposed view. Journal of Knowledge Management, 15(1), 156-171.
  • Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanesecompanies create the dynamics of innovation. New York: Oxford University Press.
  • Oltra, V. (2005). Knowledge management effectiveness factors: The role of HRM. Journal of Knowledge Management, 9, 70-86.
  • Palacios Marqués, D., & Garrigós Simón, F. J. (2006). The effect of knowledge manage-ment practices on firm performance. Journal of Knowledge Management, 10(3), 143-156.
  • Pfeffer, J. (1994). Competitive advantage through people. Boston: Harvard BusinessPress.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Commonmethod biases in behavioural research: A critical review of the literature andrecommended remedies. Journal of Applied Psychology, 88, 879-903.
  • Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method biasin social science research and recommendations on how to control it. AnnualReview of Psychology, 63, 539-569.
  • Polanyi, M. (1966). The tacit dimension. Chicago: The University of Chicago Press.
  • Rašula, J., Bosilj Vukšić, V., & Indiharštemberger, M. (2012). The impact of knowledgemanagement on organisational performance. Economic and Business Review, 14(2), 147-168.
  • Sanchez-Marin, G., & Baixauli-Soler, J. S. (2015). TMT pay dispersion and firm perfor-mance: The moderating role of organizational governance effectiveness. Journal of Management & Organization, 21(4), 436-459.
  • Sanchez-Marin, G., Baixauli-Soler, J. S., & Lucas-Perez, M. E. (2011). Ownership struc-ture and board effectiveness as determinants of TMT compensation in Spanishlisted firms. Journal of Business Economics and Management, 12(1), 92-109.
  • Salojärvi, S., Furu, P., & Sveiby, K.-E. (2005). Knowledge management and growth inFinnish SMEs. Journal of Knowledge Management, 9(2), 103-122.
  • Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errorsin covariance structure analysis. In A. V. Eye, & C. C. Clogg (Eds.), Latent variablesanalysis: Applications for developmental research (pp. 399-419). Thousand Oaks, CA: Sage.
  • Scholl, W., Koenig, C., Meyer, B., & Heisig, P. (2004). The future of knowledge man-agement: An international Delphi study. Journal of Knowledge Management, 8(2), 19-35.
  • Seleim, A., & Khalil, O. (2007). Knowledge management and organizational per-formance in the Egyptian software firms. International Journal of KnowledgeManagement, 3(4), 37-66.
  • Shih, H. A., & Chiang, Y. H. (2005). Strategy alignment between HRM, KM, and cor-porate development. International Journal of Manpower, 26(6), 582-603.
  • Snell, S. A., & Youndt, M. A. (1995). Human resource management and firmperformance: Testing a contingency model of executive controls. Journal of Man-agement, 21(4), 711-737.
  • Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structuralequation models. In S. Leinhardt (Ed.), Sociological methodology (pp. 290-312).Washington, DC: American Sociological Association.
  • Soliman, F., & Spooner, K. (2000). Strategies for implementing knowledge manage-ment: Role of human resources management. Journal of Knowledge Management, 4(4), 337-345.
  • Spender, J. C. (1996). Making knowledge the basis of a dynamic theory of the firm. Strategic Management Journal, 17, 45-62.
  • Svetlik, I., & Stavrou-Costea, E. (2007). Connecting human resources manage-ment and knowledge management. International Journal of Manpower, 28(3/4), 197-206.
  • Theriou, G. N., & Chatzoglou, P. D. (2008). Enhancing performance through bestHRM practices, organizational learning and knowledge management. EuropeanBusiness Review, 20(3), 185-207.
  • Wang, K.-L., Chiang, C., & Tung, C.-M. (2012). Integrating human resource manage-ment and knowledge management: From the viewpoint of core employees andorganizational performance. International Journal of Organizational Innovation, 5(1), 109-137.
  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic ManagementJournal, 5(2), 171-180.
  • West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with non-normal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural equationmodeling: Concepts, issues and applications (pp. 56-75). Thousand Oaks, CA: SagePublications.
  • Yahya, S., & Goh, W.-K. (2002). Managing human resources toward achieving knowl-edge management. Journal of Knowledge Management, 6(5), 457-468.
  • Yang, J. (2010). The knowledge management strategy and its effect on firm per-formance: A contingency analysis. International Journal of Production Economics, 125, 215-223.
  • Youndt, M. A., Snell, S. A., Dean, J. W., & Lepak, D. P. (1996). Human resource manage-ment, manufacturing strategy, and firm performance. Academy of ManagementJournal, 39(4), 836-866.
  • Zattoni, A., Gnan, L., & Huse, M. (2012). Does family involvement influence firmperformance? Exploring the mediating effects of board processes and tasks. Journal of Management, http://dx.doi.org/10.1177/0149206312463936 (Publishedonline)
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