Big data modelling the knowledge economy Online publication date: Wed, 19-Sep-2018
by Robert B. Mellor
International Journal of Knowledge-Based Development (IJKBD), Vol. 9, No. 3, 2018
Abstract: A computer-generated 3D model illustrates the advantages of virtual in silico techniques. Derived from data for SMEs in service industries it enables a business owner (or consultant) to identify where any organisation is on a three-dimensional landscape and draw quantitative conclusions about fruitful future directions of travel plus how high the resulting benefits will be and what costs are due along the journey. This 'ready-to-go' landscape map is of immense value for academics and practitioners alike, and is easily-applicable. Anyone can create the three-dimensional fold and discuss the implications of growth and development with specific clients. Markov Chain Monte Carlo modelling is presented which, put simply, is throwing virtual balls down the basic fold to show how to predict outcomes of Knowledge Engineering projects. Results are shown for; adding multiskilled innovators, adding network input from external environments, costing management control effectively and explaining how IPR adds extraneous value.
Online publication date: Wed, 19-Sep-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge-Based Development (IJKBD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org