Identificación de los indicadores de medición del conocimiento de los miembros de la facultad de las universidades de Irán
Palabras clave:
Conocimiento, medición del conocimiento, universidad, método difuso de Delphi.Resumen
Identificar y controlar los activos de conocimiento es esencial para cualquier organización, y la utilización adecuada de este capital, en presencia de criterios e indicadores apropiados, afectará el rendimiento y no meramente una evaluación cualitativa. Por lo tanto, los investigadores buscan identificar los indicadores de medición del conocimiento de los miembros de la facultad en las universidades de Irán. La presente investigación, basada en el objetivo, es un componente de investigación fundamental, basado en la naturaleza es el componente de investigación descriptiva y en función del tipo de argumento, es un componente de la investigación cualitativa. El método de recolección de datos son los recursos de la biblioteca y los cuestionarios, y la técnica utilizada es el método Fuzzy Delphi. El panel de Delphi se estableció con 17 miembros de la facultad que fueron seleccionados por un poder judicial. Los resultados de la investigación mostraron que entre 61 indicadores extraídos de la literatura teórica, dos índices tales como: orientación de las tesis de pregrado y la proporción de estudiantes de postgrado a estudiantes totales, no afectan la medición del conocimiento de los recursos humanos en las universidades de Irán, y hay consenso sobre otros indicadores.
Descargas
Citas
Adhikari, D.R. )2010). Knowledge management in academic institution. International Journal of Educational Management, 24(2), 94-104.
Afrazeh, A. (2010) Knowledge Management, Concepts, Models, Measurement and Implementation (Third Edition). Tehran: Publisher of the author.
Bezhani, I. (2010). Intellectual capital reporting at UK universities. Journal of Intellectual Capital. 11(2), 179-207.
Chang, P.L., & Chen, Y.C. (1994). A fuzzy multicriteria decision making method for technology transfer strategy selection in biotechnology. Fuzzy Sets and Systems, 63(2), 131-139.
Cheng, C.H., & Lin, Y. (2002) Evaluating the best main battle tank using fuzzy decision theory with
linguistic criteria evaluation. Journal of European Journal of Operational Research, 142, 147-161.
Davenport, T.H., & Prusak, L. (1998). Working knowledge; how organization manage what they know. Boston: Harvard Business School Press.
Esmaielzade, M., & and Pourserajian, D. (2013) Providing a functional model for assessing employees' knowledge as an indicator of employee knowledge comparison among organizations. Sixth Knowledge Management Conference, Tehran, March 14, 2013, Shahid Beheshti International Conference Center.
Gambardella, A., & Torrisi, S. (2000). The economic value of knowledge and inter-firm technological linkages: An investigation of science-based firms. Dynamo TSER Project (contract no. SOE1-CT97-1078).
Gupta, P., Mehrotra, D., & Sharma, T.K. (2015). Identifying knowledge indicators in higher education organization. Proceedings of the International Conference on Information and Communication Technologies (ICICT), Bolgatty Palace & Island Resort, Kochi, India, 3-5 December 2014.
Harris K. (2006). A knowledge management maturity model explains where you’re going and how to get there. Gartner Inc., ID o.:G 00137335.
Hooshmand, H, Mir Afzal, S., & Rezaei Noor, J. (2014) A Model for Knowledge Management Knowledge Based Organizations (Case Study of Qom University) Quarterly Journal of Parks and Centers of Technology and Technology, 10( 38), 1-11.
Khadivar, A., Elahi, Sh., & Nezafati, N. (2007) Review, categorization and comparison of knowledge measurement models. Fifth International Industrial Engineering Conference, Tehran, July 2007, Iran University of Science and Technology.
Lee, K.C., Lee, S., & Kang, W. (2005). KMPI: measuring knowledge management performance. Journal of Information & Management, 42, 469–482.
Nilipour, A., EsmaielZade, M., & Pourserajian, D. (2014) Presentation of employee knowledge measurement model and organization knowledge. First International Conference on Economics, Management, Accounting and Social Sciences, Rasht, June 2014, Ensemble of Entrepreneurs of Anzali Free Zone.
Salarzehi, H., Golshahi, A, & Kazemnejad Eshtabanati, F. (2014) Models of Intellectual Capital Measurement in Assessing the Performance of Universities and Higher Education Institutions. First National Conference
on Accounting and Management, Shiraz, September 25-26, 2014, Kharazmi International Institute for Educational and Research.
Sanchez, M. P., Elena,S., & Castrillo,R. (2007). The intellectual capital university report: An intellectual capital proposal for university: Strategic behavior. IMHE “What works" Conference, Paris, 3-4 September 2007.
Secundo, G., Alessandro, M., Gianluca, E., & Giuseppina, P. (2010). Intangible assets in higher education and research: mission, Performance or both? Journal of Intellectual Capital, 11(2), 140-157.
The Secretariat of Performance Evaluation of the Educational Evaluation Unit of the Country Assessment Organization. (2011) Major Evaluation of the Performance of the Ministry of Science, Research and Technology in 2009. Tehran: Center of Publications of the Organization for Measuring Education of the Country.
Zohor Parvandeh, V. (2014) Identifying Effective Factors in Measuring Intellectual Capital in Universities, Case Study: Ferdowsi University. International Conference on Economics, Accounting, Management and Social Sciences, Poland, 20 and 21 December 2014.
Descargas
.gif)
