TY - JOUR
T1 - Knowledge network modelling to support decision-making for strategic intervention in IT project-oriented change management
AU - Alkhuraiji, Ali
AU - Liu, Shaofeng
AU - Oderanti, Festus Oluseyi
AU - Annansingh, Fenio
AU - Pan, Jiang
N1 - This is the Accepted Manuscript version of an article published by Taylor & Francis in Journal of Decision Systems on 20 March 2014, available online: http://www.tandfonline.com/doi/abs/10.1080/12460125.2014.886499.
PY - 2014/7/3
Y1 - 2014/7/3
N2 - This paper focuses on knowledge management to enhance decision support systems for strategic intervention in information technology (IT) project-oriented change management. It proposes a model of change management knowledge networks (CMKNM) to support decision by tackling three existing issues: insufficient knowledge traceability based on the relationships between knowledge elements and key factors, lack of procedural knowledge to provide adequate policies to guide changes, and lack of ‘lessons learned’ documentation in knowledge bases. A qualitative method was used to investigate issues surrounding knowledge mobilisation and knowledge networks. Empirical study was undertaken with industries to test the CMKNM. Results are presented from the empirical study on the key factors influencing knowledge mobilisation in IT project-oriented change management, knowledge networks and connections. The CMKNM model allows key knowledge mobilisation factors to be aligned with each other; it also defines the connections between knowledge networks allowing knowledge to be mobilised by tracing knowledge channels to support decision.
AB - This paper focuses on knowledge management to enhance decision support systems for strategic intervention in information technology (IT) project-oriented change management. It proposes a model of change management knowledge networks (CMKNM) to support decision by tackling three existing issues: insufficient knowledge traceability based on the relationships between knowledge elements and key factors, lack of procedural knowledge to provide adequate policies to guide changes, and lack of ‘lessons learned’ documentation in knowledge bases. A qualitative method was used to investigate issues surrounding knowledge mobilisation and knowledge networks. Empirical study was undertaken with industries to test the CMKNM. Results are presented from the empirical study on the key factors influencing knowledge mobilisation in IT project-oriented change management, knowledge networks and connections. The CMKNM model allows key knowledge mobilisation factors to be aligned with each other; it also defines the connections between knowledge networks allowing knowledge to be mobilised by tracing knowledge channels to support decision.
KW - knowledge mobilisation
KW - knowledge networks
KW - organisational change knowledge and IT projects
KW - project-oriented change management
KW - strategic decision-making
UR - http://www.scopus.com/inward/record.url?scp=84926086486&partnerID=8YFLogxK
U2 - 10.1080/12460125.2014.886499
DO - 10.1080/12460125.2014.886499
M3 - Article
AN - SCOPUS:84926086486
SN - 1246-0125
VL - 23
SP - 285
EP - 302
JO - Journal of Decision Systems
JF - Journal of Decision Systems
IS - 3
ER -