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IBM Systems Journal
IT-Enabled Business Transformation   Volume 46, Number 4, 2007
Table of contents: HTMLPDF This article: HTMLPDF   Copyright info

On optimizing the selection of business transformation projects - References

 by N. Abe,
R. Akkiraju,
S. Buckley,
M. Ettl,
P. Huang,
D. Subramanian,
and F. Tipu
Cited references

  1. R. Kaplan and D. Norton, “The Balanced Scorecard: Measures that Drive Performance,” Harvard Business Review 70, No. 1, 71–79 (1992).
  2. R. Kaplan and D. Norton, “Putting the Balanced Scorecard to Work,” Harvard Business Review 71, No. 5, 134–147 (1993).
  3. R. Kaplan and D. Norton, The Balanced Scorecard: Translating Strategy into Action, Harvard Business School Press, Boston (1996).
  4. Intangible Assets Monitor, Value Based Management.net, http://www.valuebasedmanagement.net/methods_iam.html.
  5. Capability Maturity Model, Software Engineering Institute, Carnegie Mellon University, http://www.sei.cmu.edu/cmm.
  6. Total Quality Management, iSixSigma LLC, http://www.isixsigma.com/me/tqm/.
  7. Intellectual Capital Rating, Value Based Management.net, http://www.valuebasedmanagement.net/methods_icrating.html.
  8. APQC (American Productivity and Quality Center), http://www.apqc.org.
  9. T. Koller, M. Goedhart, and D. Wessels, Valuation: Measuring and Managing the Value of Companies, John Wiley & Sons, New York (2005).
  10. F. T. S. Chan, “Performance Measurement in a Supply Chain,” International Journal of Advanced Manufacturing Technology 21, No. 7, 534–548 (2003).
  11. S. Buckley, S. Kapoor, K. Katircioglu, and O. Oladeji, Using an Expert System on the Web to Recommend Solutions and Services, IBM Research Report RC22053, Yorktown Heights, NY (2001), http://domino.research.ibm.com/library/cyberdig.nsf/papers/
    2B5446E12F3CF35785256B6C0070DD1E/$File/RC22053.pdf    .
  12. PerformanceSoft, Inc., http://www.performancesoft.com.
  13. Synergex International Corporation, http://www.synergex.com.
  14. Hyperion Solutions Corporation, http://www.hyperion.com.
  15. D. L. Bolles and D. G. Hubbard, The Power of Enterprise-Wide Project Management, AMACOM, American Management Association (2006).
  16. T. L. Saaty, Multicriteria Decision Making: The Analytic Hierarchy Process, Vol. 1, RWS Publications, Pittsburgh, PA (1990).
  17. T. L. Saaty, Decision Making with Dependence and Feedback: The Analytic Network Process, RWS Publications, Pittsburgh, PA (1996).
  18. M. W. Dickinson, A. C. Thornton, and S. Graves, “Technology Portfolio Management: Optimizing Interdependent Projects over Multiple Time Periods,” IEEE Transactions on Engineering Management 48, No. 4, 518–527 (2001).
  19. C. Artigues, S. Demassey, and E. Neron, Resource-Constrained Project Scheduling: Models, Algorithms, Extensions and Applications, ISTE Publishing Company (2007).
  20. C. Apte, E. Bibelnieks, R. Natarajan, E. Pednault, F. Tipu, D. Campbell, and B. Nelson, “Segmentation-Based Modeling for Advanced Targeted Marketing,” Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 408–413 (2001).
  21. C. K. Chow and C. N. Liu, “Approximating Discrete Probability Distributions with Dependence Trees,” IEEE Transactions on Information Theory 14, 462–467 (1986).
  22. J. Friedman, T. Hastie, and R. Tibshirani, “Additive Logistic Regression: A Statistical View of Boosting,” Annals of Statistics 28, No. 2, 337–407 (2000).
  23. E. P. D. Pednault, “Transform Regression and the Kolmogorov Superposition Theorem,” Proceedings of the Sixth SIAM International Conference on Data Mining, Bethesda, Maryland (April 20–22, 2006), Society for Industrial and Applied Mathematics pp. 35–46 (2006).
  24. Y. Freund and R. Schapire, “Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting,” Journal of Computer and System Sciences 55, No. 1, 119–139 (1997).
  25. A. Nicolussi and S. Grontzki, DB2 Intelligent Miner: Comprehensive Guide to IBM DB2 Intelligent Miner, Version 8.2, developerWorks, IBM Corporation, http://www-128.ibm.com/developerworks/db2/library/techarticle/dm-0506nicolussi.
  26. J. Rissanen, “Modeling by Shortest Data Description,” Automatica 14, No. 5, 465–471 (1978).
  27. D. Heckerman, D. Geiger, and D. M. Chickering, “Learning Bayesian Networks: The Combination of Knowledge and Statistical Data,” Machine Learning 20, No. 3, 197–243 (1995).
  28. M. F. Cox and M. A. A. Cox, Multidimensional Scaling, Chapman and Hall, Boca Raton, FL (2001).
  29. C. Alexander, Risk Management and Analysis. Volume 1: Measuring and Modelling Financial Risk, John Wiley & Sons, New York (1998).
  30. P. Coy, “The Search for Tomorrow, BusinessWeek's New Index Examines Corporate R&D and Capital Spending,” Business Week, 216–220 (October 11, 2004).


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