RMIT University
Browse

Driving innovation: Lessons from understanding sticky knowledge and innovation diffusion

Download (701.5 kB)
conference contribution
posted on 2024-11-23, 01:59 authored by Derek WalkerDerek Walker, Tayyab MaqsoodTayyab Maqsood
The aim of this paper is to explain how sticky-knowledge theory (Szulanski,1996;2003) is applicable to both knowledge transfer as well as innovation diffusion when applied to promoting innovation. Knowledge about how innovation drivers and inhibitors can assist project-based organisations to be more competitive is important in improving processes of applying innovation that can enhance project management (PM) practice and performance. Thus, a model of reducing stickiness of knowledge transfer will be offered using results from two recently completed PhDs on organisational learning and innovation diffusion. That highly practical research work focussed upon three large construction organisations that are representative of the top tier of less than 10 global contracting organisations based in Australia that each has an annual turnover of about £200 million. We combine those results with findings from another part of that research work relating to developing capability maturity models (CMMs). This paper presents lessons learned from research upon highly competitive and commercially successful organisations that routinely practice project management in their core business. The paper concludes that sticky knowledge provides a useful way of understanding the forces of inertia that often undermine effective knowledge transfer. A key finding is that closer attention to people, process and technology interaction could be used to reduce knowledge stickiness. Also measurement of the impact of stickiness on innovation can be measured using a CMM approach.

History

Start page

1

End page

22

Total pages

22

Outlet

Proceedings of the IRNOP VIII Conference

Name of conference

IRNOP VIII Conference 2007

Publisher

IRNOP

Place published

Brighton, UK

Start date

2007-09-19

End date

2007-09-21

Language

English

Copyright

© 2007 The Authors

Former Identifier

2006006912

Esploro creation date

2020-06-22

Fedora creation date

2010-07-19

Open access

  • Yes

Usage metrics

    Scholarly Works

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC