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2021 | OriginalPaper | Chapter

15. The Measurement of Systems

Author : Richard Thomas Watson

Published in: Capital, Systems, and Objects

Publisher: Springer Singapore

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Abstract

Systems are the engines of capital creation, and every organization should be very aware of the state of its critical systems. The emphasis in the prior chapter was on measuring outcomes, the capital created, and in this chapter attention is paid to assessing the processes that generate capital.

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previous chapter Capital and Systems Measurement
Footnotes
1
Minichilli, A. Zattoni, A. & Zona, F.. (2009). Making boards effective: An empirical examination of board task performance. British Journal of Management, 20(1), 55–74.
 
2
Gassmann, O. & Enkel, E. (2004). Towards a theory of open innovation: three core process archetypes. Paper presented at the R&D Management Conference (RADMA). https://​www.​alexandria.​unisg.​ch/​274/​.
 
3
A neural network is an algorithm based on the operation of neurons in the human brain. Like humans, it uses examples to infer rules for recognizing patterns.
 
5
For an example, see “The United Kingdom’s exit from and new partnership with the European Union White Paper” at https://​www.​gov.​uk/​government/​publications/​the-united-kingdoms-exit-from-and-new-partnership-with-the-european-union-white-paper.
 
9
vom Brocke, J. & Rosemann, M. (Eds.). (2010). Handbook on Business Process Management 1: Introduction, Methods, and Information Systems. Springer; and vom Brocke, J. & Rosemann, M. (Eds.). (2010). Handbook on Business Process Management 2: Strategic Alignment, Governance, People and Culture Springer.
 
Metadata
Title
The Measurement of Systems
Author
Richard Thomas Watson
Copyright Year
2021
Publisher
Springer Singapore
Book
Capital, Systems, and Objects

Print ISBN: 978-981-15-9417-5

Electronic ISBN: 978-981-15-9418-2

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9418-2_15