Evidence-Based Investigation for Determining the Characteristics of Knowledge Management on Organizational Innovation within Taiwanese Teaching Hospitals

Chien-Chang Yang, Chen-chung Ma, Yung-Yu Su, Patricia Moulton

.

DOI: 10.4236/ib.2011.31005                

Abstract

Knowledge management models assist executives in generating and adopting sufficient information for managerial decision-making. These models may have utility in health care systems. This study examined knowledge management and innovation through the development of a culturally-appropriate instrument and collection of information from health care providers at several Taiwan teaching hospitals. Results indicated that several dimensions of the knowledge management model are associated with innovation and sharing of information in the study hospitals.

Keywords

Component, Evidence-Based Investigation, Knowledge Management, Organizational Innovation

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	S. H. Liao and C. C. Wu, “System Perspective of Knowledge Management, Organizational Learning, and Organizational Innovation,” Expert Systems with Applications, Vol. 37, 2010, pp. 1096-1103. doi:10.1016/j.eswa.2009.06.109
[2]	C. W. Choo, “Bulletin of the World Health Organization,” Hershey, Idea Group Publishing, Pennsylvania, 2005.
[3]	T. T. H. Wan, “Evidence-Based Health Care Management: Multivariate Modeling Approaches,” Kluwer Academic Publishers, Boston, 2002.
[4]	T. T. H. Wan, “Healthcare Informatics Research: From Data to Evidence-Based Management,” Journal of Medical Systems, Vol. 30, 2006, pp. 3-7. doi:10.1007/s10916-006-7397-9
[5]	K. J. Anne Marie, “Evidence Based Management. A Practical Guide for Health Professionals,” European Journal of Orthodontics, Vol. 24, 2002, p. 526. doi:10.1093/ejo/24.5.526
[6]	J. Darroch, “Knowledge Management, Innovation, and Firm Performance,” Journal of Knowledge Management, Vol. 9, No. 3, 2005, pp.101-115. doi:10.1108/13673270510602809
[7]	M. Gloet, and M. Terziovski, “Exploring the Relationship between Knowledge Management Practices and Innovation Performance,” Journal of Manufacturing Technology Management, Vol. 15, No. 5, 2004, pp.402-409. doi:10.1108/17410380410540390
[8]	A. S. Cui, D. A. Griffith and S. T. Cavusgil, “The Influence of Competitive Intensity and Market Dynamism on Knowledge Management Capabilities of MNC Subsidiaries,” Journal of International Marketing, Vol. 13, No. 3, 2005, pp. 32-53. doi:10.1509/jimk.13.3.32
[9]	J. Sandars and R. Heller, “Improving the Implementation of Evidence-Based Practice: A Knowledge Management Perspective,” Journal of Evaluation in Clinical Practice, Vol. 12, No. 3, 2006, pp. 341-346. doi:10.1111/j.1365-2753.2006.00534.x
[10]	F. Damanpour, “Organizational Innovation: A Meta- Analysis of Effects of Determinants and Moderators,” Academy of Management Journal, Vol. 34, No. 3, pp. 555-590. doi:10.2307/256406
[11]	R. E. McDonald and N. Srinivasan, “Technological Innovations in Hospitals: What Kind of Competitive Advantage Does Adoption Lead to?” International Journal of Technology Management, Vol. 28, No. 1, 2004, pp. 103-117. doi:10.1504/IJTM.2004.005055
[12]	B. M. Byrne, “A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models,” Springer, New York, 1989.
[13]	N. Davis, “SPSS explained,” P. R. Hinton, Ed., Routledge, Saunders, London, 2004.
[14]	S. Marathe, T. Wan, J. Zhang and K. Sherin, “Factors Influencing Community Health Centers’ Efficiency: A Latent Growth Curve Modeling Approach,” Journal of Medical Systems, Vol. 31, 2007, pp. 365-374. doi:10.1007/s10916-007-9078-8
[15]	B. Sahin, F. Yilmaz and K. H. Lee, “Factors Affecting Inpatient Satisfaction: Structural Equation Modeling.” Journal of Medical Systems, Vol. 31, 2007, pp. 9-16. doi:10.1007/s10916-006-9038-8
[16]	P. M. Bentler, “Comparative Fit Indexes in Structural Models,” Psychological Bulletin, Vol. 107, 1990, pp. 238-246. doi:10.1037/0033-2909.107.2.238
[17]	L. R. Tucker and C. Lewis, “A Reliability Coefficient for Maximum Likelihood Factor Analysis,” Psychometrika, Vol. 38, 1973, pp. 1-10. doi:10.1007/BF02291170
[18]	M. W. Browne and R. Cudeck, “Alternative Ways of Assessing Model Fit,” In: K. A. Bollen and J. S. Long, Eds., Testing Structural Equation Models, Newbury Park, Sage, 1993, pp. 136-162.
[19]	B. M. Byrne, “A Primer of Lisrel: Basic Applications and Programming for Confirmatory Factor Analytic Models,” Springer, New York, 1989.
[20]	L. T. Hu and P. M. Bentler, “Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives,” Structural Equation Modeling, Vol. 6, 1999, pp. 1-55. doi:10.1080/10705519909540118
[21]	J. F. J. Hair, R. E. Anderson and W. C. Black, “Multivariate Data Analysis,” 5th Ed., Upper Saddle River, Prentice-Hall International, New Jersey, 1998.
[22]	Y. Y. Su, K. T. Win and H. C. Chiu, “Measuring ‘End-Users’ Opinions for Establishing a User-Centred Electronic Health Record (EHR) System from the Perspective Of Nurses,” Journal of Theoretical and Applied Electronic Commerce Research, Vol. 4, 2009, pp. 55-63.