Conference Proceedings


John Pierce
Michael O'Duffy
Niall Connolly
Marian Carcary
Clare Thornley



knowledge management km maturity models dynamic capabilities collaborative work best practice social media organisational learning knowledge creation

Developing a Maturity Model for Knowledge Management (KM) in the Digital Age (2016)

Abstract This paper arises from a work-in-progress academia/industry collaborative research project to develop a knowledge management (KM) maturity model as a component (critical capability) of the IT Capability Maturity Framework (IT-CMF). The aim of the project is to develop a knowledge management (KM) maturity model that is ‘fit for purpose’ for organisations in the digital age. In undertaking this work it became clear that, outside of the fundamental challenges of KM, new significant challenges and questions are becoming apparent arising from the digital transformation and subsequent changes in how data, information and knowledge are stored, disseminated, analysed, communicated and used. The research questions we address in this paper are as follows. 1) How does digital transformation impact on approaches to KM? 2) What are the implications of digital transformation for how we should develop KM maturity models/practice advice? Within the first research question some of the significant issues that have arisen during our work include the distinction and relationship between data, information, and knowledge in the light of data analytics and other related technologies. Social media has also changed the nature of knowledge creation and communication in, for example, facilitating commentary and opinions. The increasing volume of knowledge being created and the pace of change influences organisational learning. Is it always the case that stored knowledge will still be pertinent to understanding the next problem that arises as dynamic and improvisational capabilities, rather than core capabilities, become increasingly important? In terms of the second research question the changing nature of the KM context influences how guidelines can be developed and implemented. The rise of data analytics, for example, requires new relationship building and analytic capabilities in terms of liaising with the increasing number of organisational units that collect and analyse data. The increasingly ubiquitous nature of knowledge sharing also raises different issues in terms of assessing quality and currency as the central control of knowledge collection is losing ground. These, amongst other changes, may mean that previous ‘truths universally acknowledged’ within KM as ‘best practice’ now require re-examination. It may be increasingly difficult to prescribe certain practices that will be appropriate in most organisations or in most cases. This, therefore, has implications for how maturity models to support KM in the digital context are developed.
Collections Ireland -> Maynooth University -> Academic Unit = Faculty of Social Sciences
Ireland -> Maynooth University -> Academic Unit = Faculty of Social Sciences: Research Institutes: Innovation Value Institute, IVI
Ireland -> Maynooth University -> Status = Published
Ireland -> Maynooth University -> Academic Unit = Faculty of Social Sciences: Research Institutes
Ireland -> Maynooth University -> Type = Conference or Workshop Item
Ireland -> Maynooth University -> Open Access DRIVERset

Full list of authors on original publication

John Pierce, Michael O'Duffy, Niall Connolly, Marian Carcary, Clare Thornley

Experts in our system

Niall Connolly
Maynooth University
Total Publications: 9
Marian Carcary
Maynooth University
Total Publications: 25
Clare V. Thornley
Maynooth University
Total Publications: 33