The MAKCi index: Using logistic regression modelling for predicting most admired knowledge cities

International Journal of Knowledge-Based Development

Volumn 3, Issue 1, 2012, Pages 83-99

  Meza, Carlos J García ^a   Garza, M Alicia Leal ^a  

^a SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

Generic capitals system; KBD; Knowledge cities; Logistic regression analysis; MAKCi; Measurement; Most admired knowledge city

Indexed keywords

EID: 84870278854     PISSN: 20404468     EISSN: 20404476     Source Type: Journal    
DOI: 10.1504/IJKBD.2012.045571     Document Type: Article

References (31)

1. Batra, S. (2008) Developing Regional Knowledge Development Indices to Support Assessment of the Global Competitiveness of Regions, Institute of Management Technology, Ghaziabad, India.
2. Bernard, H. (1994) Research Methods in Anthropology: Qualitative and Quantitative Approaches, Sage, Thousand Oaks, CA.
3. Carrillo, F.J. (2004) 'Capital cities: a taxonomy of capital accounts for knowledge cities', The Journal of Knowledge Management, Vol. 8, No. 5, pp.28-60.
4. Christensen, R. (1997) Log-Linear Models and Logistic Regression, 2nd ed., Springer, USA.
5. Cortina, J. (1993) 'What is coefficient alpha? An examination of theory and applications', Journal of Applied Psychology, Vol. 78, No. 1, pp.98-104.
6. Cronbach, L.J. (1951) 'Coefficient alpha and the internal structure of tests', Psychometrika, Vol. 16, No. 3, pp.297-334.
7. Edvinsson, L. (2006) 'Aspects on the city as a knowledge tool', Journal of Knowledge Management, Vol. 10, No. 5, pp.6-13. (Pubitemid 44463852)
8. Efron, B. (2000) 'The bootstrap and modern statistics', Journal of the American Statistical Association, Vol. 95, No. 452, pp.1293-1296.
9. Ergazakis, K. (2009) 'Rethinking the development of successful knowledge cities: an advanced framework', Journal of Knowledge Management, Vol. 13, No. 5, pp.214-227.
10. Ergazakis, K. and Metaxiotis, K. (2011) 'The knowledge-based development agenda: a perspective for 2010-2020', VINE: The Journal of Information and Knowledge Management Systems, Vol. 41, No. 3, pp.358-377.
11. Ergazakis, K., Metaxiotis, K., Psarras, J. and Askounis, D. (2006) 'A unified methodological approach for the development of knowledge cities', Journal of Knowledge Management, Vol. 10, No. 5, pp.65-78. (Pubitemid 44463856)
12. García, B. and Leal, A. (2010) 'Making MAKCi: identifying key elements in knowledge-cities benchmarking', Paper presented at the 3rd Melbourne Knowledge World Summit, Melbourne, Australia.
13. García, B.C. (2010) 'Making MAKCi: an emerging knowledge-generative network of practice in the Web 2.0', VINE: The Journal of Information and Knowledge Management Systems, Vol. 40, No. 1, pp.39-61.
14. Grant, K.A., Chuang, S., Rashid, N. and Chan, A. (2009) 'CITYCARD-A new approach to ranking cities', Paper presented at the 2nd Knowledge Cities Summit, Shenzhen.
15. Haberman, S.J. (1979) Analysis of Qualitative Data, Vol. 2, New Developments, Academic Press, New York.
16. Hinton, P.R. (2004) Statistics Explained, 2nd ed., Routledge, London.
17. Hosmer, D.W. and Lemeshow, S. (1989) Applied Logistic Regression, John Wiley & Sons, New York.
18. Jaeger, R. (1984) Sampling in Education and the Social Sciences, Longman, New York.
19. Johnson, R. and Wichern, D. (1988) Applied Multivariate Statistical Analysis, Prentice Hall, USA.
20. Kutner, M., Nachtsheim, C., Neter, J. and Li, W. (2005) Applied Linear Statistical Models, McGraw-Hill, New York, NY.
21. Musil, C.M., Jones, S.L. and Warner, C.D. (1998) 'Structural equation modeling and its relationship to multiple regression and factor analysis', Research in Nursing & Health, Vol. 21, pp.271-281. (Pubitemid 128454597)
22. OED (2007) Sampling, International Program for Development Evaluation Training, available at http://www.worldbank.org/oed/ipdet/modules/M-09-na.pdf (accessed on 9 November 2011).
23. Patton, M. (1990) Qualitative Evaluation and Research Methods, Sage Publication, Newbury Park, CA, pp.187-189.
24. Peng, C.J., Lee, K.L. and Ingersoll, G.M. (2002) 'An introduction to logistic regression analysis and reporting', The Journal of Educational Research, Vol. 96, No. 1, pp.3-14.
25. Raghav, V.S., Ritter, W., Vighnesh, N.V., Ashish, R.H.C., Kavita, R., Shilpa, N., Sathyendhranath, R. and Kumar, S.B.A. (2010) 'Mysore-A framework and an audit of a knowledge city', Paper presented at the 3rd Melbourne Knowledge World Summit, Melbourne, Australia.
26. Saisana, M., Saltelli, A. and Tarantola, S. (2005) 'Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators', Journal of the Royal Statistical Society A, Part 2, Vol. 168, No. 2, pp.307-323. (Pubitemid 40427712)
27. Steyerberg, E., Eijkemans, M., Harrell, F. and Habbema, J. (2000) 'Prognostic modelling with logistic regression analysis: a comparison of selection and estimation methods in small data sets', Statistics in Medicine, Vol. 18, No. 9, pp.1059-1079. (Pubitemid 30238915)
28. Thompson, S.K. (1992) Sampling, Wiley, USA.
29. Whittingham, M., Stephens, P., Bradbury, R. and Freckleton, R. (2006) 'Why do we still use stepwise modelling in ecology and behavior?', Journal of Animal Ecology, Vol. 75, No. 5, pp.1182-1189. (Pubitemid 44175184)
30. World Capital Institute (WCI) (2007, 2008, 2009, 2010) 'The most admired knowledge city (MAKCi) report', World Capital Institute & Teleos, available at http://www.worldcapitalinstitute.org/makci (accessed on 18 November 2011).
31. Yigitcanlar, T., Velibeyoglu, K. and Martinez-Fernandez, C. (2008) 'Rising knowledge cities: the role of urban knowledge precincts', Journal of Knowledge Management, Vol. 12, No. 5, pp.8-20.