How do organisational learning and knowledge application improve organisational performance in financial advisory services?

  1. José Miguel Rodríguez Antón 1
  2. Alejandro Buján Pérez 2
  3. Luis Rubio Andrada 3
  1. 1 Universidad Autónoma de Madrid
    info

    Universidad Autónoma de Madrid

    Madrid, España

    ROR https://ror.org/01cby8j38

  2. 2 Universidad Complutense de Madrid Departamento de Economía Financiera y Contabilidad III
  3. 3 Departamento de Economía Aplicada: UDI de Estadística Universidad Autónoma de Madrid
Revista:
Revista española de financiación y contabilidad

ISSN: 0210-2412

Año de publicación: 2016

Volumen: 45

Número: 4

Páginas: 415-439

Tipo: Artículo

DOI: 10.1080/02102412.2016.1226008 DIALNET GOOGLE SCHOLAR

Otras publicaciones en: Revista española de financiación y contabilidad

Resumen

El artículo tiene como objetivo determinar, mediante un modelo que integre los diferentes planteamientos observados en la literatura, la forma en que el aprendizaje organizativo – a través de la orientación del aprendizaje y el propio proceso de aprendizaje organizativo – y la aplicación del conocimiento mejoran el rendimiento organizativo en los servicios de asesoramiento financiero. Investigaciones previas han probado cómo todos los constructos, considerados por separado, influyen positivamente en el rendimiento organizativo. Sin embargo, un modelo integrado que incluya todos ellos revelará cuáles realmente tienen un efecto directo sobre el rendimiento de la organización. A partir de una muestra de 349 asesores financieros, y mediante modelos de ecuaciones estructurales, se analiza cómo los constructos del modelo interactúan entre ellos y se prueban las hipótesis formuladas. Los resultados muestran que el constructo directamente conectado al rendimiento de la organización es la aplicación del conocimiento, mientras que la orientación al aprendizaje y el proceso de aprendizaje organizativo sólo afectan el rendimiento indirectamente a través de su interacción con la aplicación del conocimiento. Por otra parte, esta investigación apoya la apuesta realizada por las organizaciones verdaderamente implicadas en el aprendizaje y, especialmente, en la aplicación del conocimiento.

Referencias bibliográficas

  • M.Alavi, & D.E.Leidner, (2001). Review:Knowledge management and knowledge management systems:Conceptual foundations and research issues. MIS Quarterly, 25(1), 107–136. doi:10.2307/3250961
  • J.Alegre, & R.Chiva, (2013). Linking entrepreneurial orientation and firm performance:The role of organizational learning capability and innovation performance. Journal of Small Business Management, 51(4), 491–507. doi:10.1111/jsbm.12005
  • L.Argote, (2011). Organizational learning research:Past, present and future. Management Learning, 42(4), 439–446. doi:10.1177/1350507611408217
  • L.Argote, S.L.Beckman, & D.Epple, (1990). The persistence and transfer of learning in industrial settings. Management Science, 36(2), 140–154. doi:10.1287/mnsc.36.2.140
  • L.Argote, B.McEvily, & R.Reagans, (2003). Managing knowledge in organizations:An integrative framework and review of emerging themes. Management Science, 49(4), 571–582. doi:10.1287/mnsc.49.4.571.14424
  • T.E.Backer, (1992). Getting management knowledge used. Journal of Management Inquiry, 1(1), 39–42. doi:10.1177/105649269211006
  • W.E.Baker, & J.M.Sinkula, (2002). Market orientation, learning orientation and product innovation. Journal of Market Focused Management, 5(1), 5–23. doi:10.1023/A:1012543911149
  • J.E.Bartlett, J.W.Kotrlik, & C.C.Higgins, (2001). Organizational research:Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal, 19(1), 43–50.
  • O.W.Bearden, S.Sharma, & J.E.Teel, (1982). Sample size effects on chi square and other statistics used in evaluating causal models. Journal of Marketing Research, 19(4), 425–430. doi:10.2307/3151716
  • P.M.Bentler, (1995). EQS. Structural equations program manual. Los Angeles:University of California.
  • K.A.Bollen, (1989). Structural equations with latent variables. New York, NY:John Wiley and Sons.
  • P.F.Bone, S.Sharma, & T.A.Shimp, (1989). A bootstrap procedure for evaluating goodness-of-fit indices of structural equation and confirmatory factor models. Journal of Marketing Research, 26(1), 105–111. doi:10.2307/3172673
  • S.Y.Choi, H.Lee, & Y.Yoo, (2010). The impact of information technology and transactive memory systems on knowledge sharing, application, and team performance:A field study. MIS Quarterly, 34(4), 855–870.
  • J.F.Cohen, & K.Olsen, (2015). Knowledge management capabilities and firm performance:A test of universalistic, contingency and complementarity perspectives. Expert Systems with Applications, 42(3), 1178–1188. doi:10.1016/j.eswa.2014.09.002
  • A.D.Ellinger, A.E.Ellinger, B.Yang, & S.W.Howton, (2002). The relationship between the learning organization concept and firms’ financial performance:An empirical assessment. Human Resource Development Quarterly, 13(1), 5–22. doi:10.1002/hrdq.1010
  • C.Fornell, & D.F.Larcker, (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi:10.2307/3151312
  • B.S.Fugate, T.P.Stank, & J.T.Mentzer, (2009). Linking improved knowledge management to operational and organizational performance. Journal of Operations Management, 27, 247–264. doi:10.1016/j.jom.2008.09.003
  • J.L.Gandía, & M.D.Montagud, (2011). Innovación docente y resultados del aprendizaje:un estudio empírico en la enseñanza de la contabilidad de costes. Spanish Journal of Finance and Accounting/Revista Española de Financiación y Contabilidad, 40(152), 677–698. doi:10.1080/02102412.2011.10779716
  • C.B.Gibson, M.E.Zellmer-Bruhn, & D.P.Schwab, (2003). Team effectiveness in multinational organizations:Evaluation across contexts. Group and Organization Management, 28(4), 444–474. doi:10.1177/1059601103251685
  • R.M.Grant, (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, 109–122. doi:10.1002/smj.4250171110
  • J.F.Hair, R.E.Anderson, & R.L.Tatham, (1999). Análisis multivariante. Madrid:Prentice-Hall.
  • D.C.Hine, R.Parker, & D.Ireland, (2010). The knowledge exchange intermediary as service provider:A discussion and an Australian case. The Service Industries Journal, 30(5), 713–729. doi:10.1080/02642060802253892
  • D.Hooper, J.Coughlan, & M.Mullen, (2008). Structural equation modelling:Guidelines for determining model fit. Electronic Journal of Business Research Methods, 6(1), 53–60. Retrieved from http://www.ejbrm.com/volume6/issue1/p53
  • L.Huang, M.Quaddus, A.Rowe, & C.Lai, (2011). An investigation into the factors affecting knowledge management adoption and practice in the life insurance business. Knowledge Management Research and Practice, 9, 58–72. doi:10.1057/kmrp.2011.2
  • G.P.Huber, (1991). Organizational learning:The contributing processes and the literatures. Organization Science, 2(1), 88–115. doi:10.1287/orsc.2.1.88
  • P.Jerez-Gómez, J.Céspedes-Lorente, & R.Valle-Cabrera, (2005). Organizational learning capability:A proposal of measurement. Journal of Business Research, 58(6), 715–725. doi:10.1016/j.jbusres.2003.11.002
  • D.Jiménez-Jiménez, & J.G.Cegarra-Navarro, (2007). The performance effect of organizational learning and market orientation. Industrial Marketing Management, 36(6), 694–708. doi:10.1016/j.indmarman.2006.02.008
  • D.Jiménez-Jiménez, & R.Sanz-Valle, (2011). Innovation, organizational learning, and performance. Journal of Business Research, 64(4), 408–417. doi:10.1016/j.jbusres.2010.09.010
  • S.Keeter, C.Kennedy, M.Dimock, J.Best, & P.Craighill, (2006). Gauging the impact of growing nonresponse on estimates from a national rdd telephone survey. Public Opinion Quarterly, 70(5), 759–779. doi:10.1093/poq/nfl035
  • S.Keeter, C.Miller, A.Kohut, R.M.Groves, & S.Presser, (2000). Consequences of reducing nonresponse in a national telephone survey. Public Opinion Quarterly, 64(2), 125–148. doi:10.1086/317759
  • U.R.Kulkarni, S.Ravindran, & R.Freeze, (2007). A knowledge management success model:Theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309–347. doi:10.2753/MIS0742-1222230311
  • B.Lawson, & A.Potter, (2012). Determinants of knowledge transfer in inter‐firm new product development projects. International Journal of Operations & Production Management, 32(10), 1228–1247. doi:10.1108/01443571211274530
  • J.P.Levy, & J.Varela, (2006). Modelización con Estructuras de Covarianzas en Ciencias Sociales. Madrid:Editorial Netbiblo.
  • S.Liao, W.Chang, & C.Wu, (2010). An integrated model for learning organization with strategic view:Benchmarking in the knowledge-intensive industry. Expert Systems with Applications, 37(5), 3792–3798. doi:10.1016/j.eswa.2009.11.041
  • R.Liu, (2015). Management learning in business networks:The process and the effects. Management Learning, 46(3), 337–360. doi:10.1177/1350507614537019
  • M.B.Lloria, & M.D.Moreno-Luzon, (2014). Organizational learning:Proposal of an integrative scale and research instrument. Journal of Business Research, 67(5), 692–697. doi:10.1016/j.jbusres.2013.11.029
  • G.Mangiarotti, (2012). Knowledge management practices and innovation propensity:A firm-level analysis for Luxembourg. International Journal of Technology Management, 58(3–4), 261–283. doi:10.1504/IJTM.2012.046618
  • R.M.Mariño-Mesías, J.M.Rodríguez-Antón, & L.Rubio-Andrada, (2015). ¿Cómo influye el capital humano en la calidad de servicio? Una aplicación al sector bancario andorrano. Spanish Journal of Finance and Accounting/Revista Española de Financiación y Contabilidad, 44(2), 146–179. doi:10.1080/02102412.2014.991126
  • A.Mills, & T.Smith, (2011). Knowledge management and organizational performance:A decomposed view. Journal of Knowledge Management, 15(1), 156–171. doi:10.1108/13673271111108756
  • I.Nonaka, (1991). The knowledge-creating company. Harvard Business Review, 69(6), 96–104.
  • I.Nonaka, & H.Takeuchi, (1995). The knowledge-creating company:How Japanese companies create the dynamics of innovation. New York, NY:Oxford University Press.
  • J.Nunnally, & I.Bernstein, (1994). Psychometric theory (3rd ed.). New York, NY:McGraw-Hill.
  • M.L.Ochoa Hernandez, M.B.Prieto Moreno, & A.Santidrián Arroyo, (2010). Análisis exploratorio de la implantación y uso de los Sistemas de Información sobre el Capital Intelectual en empresas castellano-leonesas:Evidencia empírica e ideas para la reflexión. Spanish Journal of Finance and Accounting /Revista Española de Financiación y Contabilidad, 39(145), 109–148. doi:10.1080/02102412.2010.10779680
  • P.I.Oluikpe, (2015). Knowledge creation and utilization in project teams. Journal of Knowledge Management, 19(2), 351–371. doi:10.1108/JKM-06-2014-0214
  • K.Pauwels, J.Silva-Risso, S.Srinivasan, & D.M.Hanssens, (2004). New products, sales promotions, and firm value:The case of the automobile industry. Journal of Marketing, 68(4), 142–156. doi:10.1509/jmkg.68.4.142.42724
  • E.T.Penrose, (1959). The theory of the growth of the firm. New York, NY:Wiley.
  • S.Pérez López, J.M.Montes Peón, & C.J.Vazquez Ordás, (2004). Managing knowledge:The link between culture and organizational learning. Journal of Knowledge Management, 8(6), 93–104. doi:10.1108/13673270410567657
  • S.Pérez López, J.M.Montes Peón, & C.J.Vazquez Ordás, (2005). Organizational learning as a determining factor in business performance. The Learning Organization, 12(3), 227–245. doi:10.1108/09696470510592494
  • PewResearchCenter. (2012). Assessing the representativeness of public opinion surveys. Retrieved from http://www.people-press.org/2012/05/15/assessing-the-representativeness-of-public-opinion-surveys/
  • Real Decreto 217/2008. Régimen jurídico de las empresas de servicios de inversión. Ministerio de Economía y Hacienda, Boletín oficial del Estado num 41, of 16/02/2008.
  • B.S.Sandhawalia, & D.Dalcher, (2011). Developing knowledge management capabilities:A structured approach. Journal of Knowledge Management, 15(2), 313–328. doi:10.1108/13673271111119718
  • P.Senge, (1990). The fifth discipline:The art and practice of the learning organization. New York, NY:Doubleday/Currency.
  • J.Sinkula, W.Baker, & T.Noordewier, (1997). A framework for market-based organizational learning:Linking values, knowledge, and behavior. Journal of the Academy of Marketing Science, 25(4), 305–318. doi:10.1177/0092070397254003
  • S.Strambach, (2008). Knowledge-Intensive Business Services (KIBS) as drivers of multilevel knowledge dynamics. International Journal of Services Technology and Management, 10(2/3/4), 152–174. doi:10.1504/IJSTM.2008.022117
  • D.J.Teece, G.Pisano, & A.Shuen, (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. doi:10.1002/(ISSN)1097-0266
  • D.R.E.Thomas, (1978). Strategy is different in service businesses. Harvard Business Review, July, 158–165.
  • M.J.Tippins, & R.S.Sohi, (2003). IT competency and firm performance:Is organizational learning a missing link? Strategic Management Journal, 24(8), 745–761. doi:10.1002/smj.337
  • P.Vegas, (2011). El futuro del Asesoramiento Financiero en España. Anuario sobre el Asesoramiento Financiero e Inversión en España”, Inversis Banco, IEB y Fidelity, 16–47. Retrieved from http://www.ieb.es/wp-content/uploads/2014/08/anuario.pdf
  • K.E.Watkins, & V.J.Marsick, (1993). Sculpting the learning organization:Lessons in the art and science of systemic change. San Francisco, CA:Jossey-Bass.
  • P.C.D.Weerd-Nederhof, P. C. d, K.Visscher, J.Altena, & O.A.M.Fisscher, (2008). Operational effectiveness and strategic flexibility:Scales for performance assessment of new product development systems. International Journal of Technology Management, 44(3–4), 354–372. doi:10.1504/IJTM.2008.021044
  • O.Wyman, (2012). Asset quality review and bottom-up stress test exercise. Bank of Spain stress testing exercise. Retrieved from:http://www.bde.es/f/webbde/SSICOM/20120928/informe_ow280912e.pdf
  • Y.Xue, & B.Wang, (2011). Research on the application of knowledge management process model in commercial banks. Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference, Changchun, 1, 343–346. doi:10.1109/ICIEEM.2011.6035172
  • D.L.Zahay, & R.B.Handfield, (2004). The role of learning and technical capabilities in predicting adoption of B2B technologies. Industrial Marketing Management, 33(7), 627–641. doi:10.1016/j.indmarman.2003.10.004
  • J.C.Zimmer, R.M.Henry, & B.S.Butler, (2007). Determinants of the use of relational and nonrelational information sources. Journal of Management Information Systems, 24(3), 297–331. doi:10.2753/MIS0742-1222240310