Advertisement

Information Productivity: An Introduction to Enterprise Information Management

  • Paul Baan
  • Robbert Homburg
Chapter
Part of the Management for Professionals book series (MANAGPROF, volume 2)

Abstract

At first, it may seem like a rather straightforward question. How productive is the information within your organization? But over the years we learned that the answer to this question is far from obvious. The problems that arise when trying to answer this question are illustrative of the state of the current IT industry. IT is supposed to stand for Information Technology, but in fact is much more about technology then it is about information.

Keywords

Information Productivity Maturity Level Business Intelligence Information Domain Chief Information Officer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Ariely D (2009) Predictably irrational, revised and expanded edition: the hidden forces that shape our decisions. HarperCollins, New YorkGoogle Scholar
  2. Atkinson R (1999) Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. Int J Proj Manage 17(6):337–342CrossRefGoogle Scholar
  3. Baan P, van Til P, van der Lans A (2010) Enterprise information management: de fusie tussen business intelligence, content management en enterprise search. VLC, Lulu. ISBN 978-1-4457-2910-7Google Scholar
  4. Brynjolfsson E, Hitt L, Kim H (2011) Strength in numbers: how does data-driven decisionmaking affect firm performance? Available at SSRN: http://ssrn.com/abstract=1819486 or http://dx.doi.org/10.2139/ssrn.1819486
  5. Camerer C, Loewenstein G, Prelec D (2005) Neuroeconomics: how neuroscience can inform economics. J Econ Lit. http://www.hss.caltech.edu/∼camerer/JELfinal.pdf
  6. Choo CW (2006) The knowing organization: how organizations use information to construct meaning, create knowledge, and make decisions. Oxford University Press, New YorkGoogle Scholar
  7. Davenport T (2005) Thinking for a living: how to get better performances and results from knowledge workers. Harvard Business School Press, BostonGoogle Scholar
  8. Dijksterhuis A (2007) Het slimme onbewuste. Bert Bakker, AmsterdamGoogle Scholar
  9. Freeman M, Beale P (1992) Measuring project success. Proj Manage J 23(1):8–17Google Scholar
  10. Hamel G (2007) The future of management. Harvard Business School Press, BostonGoogle Scholar
  11. Hinssen P (2010) The new normal. Lannoo, TieltGoogle Scholar
  12. Kahneman D (2012) Thinking, fast and slow. Farrar, Straus and Giroux, New YorkGoogle Scholar
  13. Kirby J (2005) Towards a theory of high-performance. Harvard Bus Rev 83(7, July–August):30–39Google Scholar
  14. Kurweil R (2006) The singularity is near: when humans transcend biology. The Viking Press, New YorkGoogle Scholar
  15. Larsen KB et al (2011) Factors differentiation concerning information productivity. RSM, RotterdamGoogle Scholar
  16. Leong L, Jarmoszko AT (2010) Analysing capabilities and enterprise strategy: a value proposition framework. Int J Manage Inf Syst 14(1)Google Scholar
  17. Lim CS, Mohamed MZ (1999) Criteria of project success: an exploratory re examination. Int J Proj Manage 17(4):243–8CrossRefGoogle Scholar
  18. Lohr S (2011) When there’s no such thing as too much information. The New York Times. http://www.nytimes.com/2011/04/24/business/24unboxed.html?_r=1
  19. Manyika J, Roberts R, Sprague K (2007) Eight business technology trends to watch, McKinsey QGoogle Scholar
  20. Mehrjerdi YZ (2010) Enterprise resource planning: risk and benefit analysis. Bus Strateg Ser 11(5):308–324CrossRefGoogle Scholar
  21. Moore G (1965) Cramming more components onto integrated circuits. Electronics Magazine, p 4Google Scholar
  22. Peslak AR (2003) A firm level study of information technology productivity using financial and market based measures. J Comput Inf Syst 43:72, Summer 2003Google Scholar
  23. Ranjan J (2008) Business justification with business intelligence. J Inf Knowl Manage Syst 38(4):461–475Google Scholar
  24. Roberts D (2010) Behavior change causes changes in beliefs, not vice versa. http://grist.org/politics/2010-11-23-behavior-change-causes-changes-in-beliefs-not-vice-versa/
  25. Strassman P (1999) Information productivity: assessing information management costs of U. S. Corporations. Information Economics Press, New CanaanGoogle Scholar
  26. Strassman P (2006) 5 steps to improve your information productivity. Baseline Magazine. http://www.baselinemag.com/c/a/Projects-Management/5-Steps-to-Improve-Your-Information-Productivity/
  27. Strassmann PA (2004) Defining and measuring information productivity. The Information Economic Press, version 2.0, January 2004Google Scholar
  28. Wateridge J (1998) How can IS/IT projects be measured for success. Int J Proj Manage 16(1):59–63CrossRefGoogle Scholar
  29. Weggeman M (2000) Kennismanagement: de praktijk. Scriptum, SchiedamGoogle Scholar
  30. Zimmermann M (1989) The nervous system in the context of information theory. In: Schmidt RF, Thews G (eds) Human physiology. Springer, Berlin, pp 166–173Google Scholar

Copyright information

© Incentro 2013

Authors and Affiliations

  1. 1.IncentroDe MeernThe Netherlands
  2. 2.Advisory Services, IncentroDe MeernThe Netherlands

Personalised recommendations