Measurement of Knowledge Value

Fundamental to service science is the development of approaches to measure knowledge value in business and society.   Service science is still in an early stage of development, where simply counting the number of service system entities and their direct and indirect interactions is challenging.

Nevertheless, the following readings can provide a primer for the interested scholar or practitioner:


(1) Social Physics by Pentland (MIT) – for big data measurement at city scale –
Pentland, A. (2014). Social Physics: How Good Ideas Spread-The Lessons from a New Science. Penguin.

(2) Ng HAT (Hub of All Things) – provides a model for social change and more sustainable business models, where everyone owns their own data.

(a) The video:

(b) The project/movement:

(c) The book:  Ng, I. (2013). Value and worth: Creating new markets in the digital economy. Innovorsa, Cambridge.

(3) Like social physics, service science researchers have explored a range of ways to approach the measurement of knowledge value in business and society.  Four worth mentioning that provide the philosophical and mathematical foundations for all entities consciousness and knowledge measurement, as well as reasoning about knowledge are:

(a) Measure of consciousness in all things: De Chardin, P. T. (1965). The phenomenon of man (Vol. 383). New York, NY, USA:: Harper & Row.

(b) Measure of knowledge as energy channel for purpose:  Simms, J. R. (1968). A measure of knowledge.

(c) Closely related to knowledge as energy channels – see Design in Nature by Bejan and Zane

(d) Mathematical Foundations of Reasoning about Knowledge – see Fagin et al

(4) And of course for the relationship of knowledge value to service science, I recommend these:

(a)  Spohrer, J.; Maglio, P. P., Bailey, J., & Gruhl, D.,  (2007). Steps toward a science of service systems. Computer, 40(1), 71-77.
(b) Spohrer, JC; & Maglio, PP (2010) Towards a science of service systems: Value and symbols  Handbook of service science.

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