No abstract

Purpose This paper aims to extend the theory relating to knowledge sharing barriers and enablers in the public sector information and communication technology (ICT) project context. Design/methodology/approach A case study method was used whereby project managers from each of the seven departments of the Victorian Public Sector in Australia were interviewed about their knowledge sharing practice. A semi-structured interview instrument based on Riege’s (2005) barrier framework was used to explore the barriers to knowledge sharing that they experienced as part of their work. Findings The study found that many of Riege’s (2005) barriers did not apply in the public sector ICT project environment, demonstrating that context matters. In addition, five enablers were identified, resulting in a new model of enablers and barriers to knowledge sharing in public sector ICT projects. Research limitations/implications This study focuses on a single case, the Victorian Public Sector, and consequently the results are not generalisable. Future research should explore the applicability of the model in other public sector ICT project contexts. Practical implications The study highlights the relationship between knowledge sharing and the project manager and the role it plays in project delivery. The model presented provides a starting point for public sector practitioners to develop their knowledge sharing practice, potentially enhancing project outcomes in the process. Originality/value This study examines barriers to knowledge sharing in an under-researched context, that of the public sector ICT project environment. It builds on current theory and provides insights for practitioners in the public sector.

Organisations use Enterprise Architecture (EA) to reduce organisational complexity, improve communication, align business and information technology (IT), and drive organisational change. Due to the dynamic nature of environmental and organisational factors, EA descriptions need to change over time to keep providing value for its stakeholders. Emerging business and IT trends, such as Service-Oriented Architecture (SOA), may impact EA frameworks, methodologies, governance and tools. However, the phenomenon of EA evolution is still poorly understood. Using Archer's morphogenetic theory as a foundation, this research conceptualises three analytical phases of EA evolution in organisations, namely conditioning, interaction and elaboration. Based on a case study with a government agency, this paper provides new empirically and theoretically grounded insights into EA evolution, in particular in relation to the introduction of SOA, and describes relevant generative mechanisms affecting EA evolution. By doing so, it builds a foundation to further examine the impact of other IT trends such as mobile or cloud-based solutions on EA evolution. At a practical level, the research delivers a model that can be used to guide professionals to manage EA and continually evolve it. KeywordsEnterprise Architecture, EA, Service-oriented Architecture, SOA, critical realism, morphogenetic theory A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 2 Empirical Insights into the Development of a Serviceoriented Enterprise Architecture AbstractOrganisations use Enterprise Architecture (EA) to reduce organisational complexity, improve communication, align business and information technology (IT), and drive organisational change. Due to the dynamic nature of environmental and organisational factors, EA descriptions need to change over time to keep providing value for its stakeholders. Emerging business and IT trends, such as Service-Oriented Architecture (SOA), may impact EA frameworks, methodologies, governance and tools. However, the phenomenon of EA evolution is still poorly understood. Using Archer's morphogenetic theory as a foundation, this research conceptualises three analytical phases of EA evolution in organisations, namely conditioning, interaction and elaboration. Based on a case study with a government agency, this paper provides new empirically and theoretically grounded insights into EA evolution, in particular in relation to the introduction of SOA, and describes relevant generative mechanisms affecting EA evolution. By doing so, it builds a foundation to further examine the impact of other IT trends such as mobile or cloud-based solutions on EA evolution. At a practical level, the research delivers a model that can be used to guide professionals to manage EA and continually evolve it.

Projects are temporal organisation forms that are highly knowledge-intensive and play an important role in modern public (and private) sector organisations. The effective and efficient creation, dissemination, application and conservation of relevant knowledge are a critical success factor in the management of projects. Yet, project management (PM) and knowledge management (KM) are two distinct disciplines. This paper explores the relationship between PM and KM by analysing the literature at the intersection of those disciplines and presenting the empirical results of a case study of the Victorian Public Sector (VPS) in Australia. A series of 14 interviews were conducted to explore how ICT project managers manage project knowledge across the departments of the VPS. Findings show a strong preference among the participants for informal, face-to-face interactions and agile approaches to facilitate knowledge transfer and creation in ICT project environments.

No abstract