In the age of the smart machine: the future of work and power
In the age of the smart machine: the future of work and power
Intellectual capital: the new wealth of organizations
Intellectual capital: the new wealth of organizations
Building the Virtual State: Information Technology and Institutional Change
Building the Virtual State: Information Technology and Institutional Change
Data Smog: Surviving the Information Glut
Data Smog: Surviving the Information Glut
Cultivating Communities of Practice: A Guide to Managing Knowledge
Cultivating Communities of Practice: A Guide to Managing Knowledge
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Interoperability of E-Government Information Systems: Issues of Identification and Data Sharing
Journal of Management Information Systems
Government information sharing and integration: Combining the social and the technical
Information Polity - Government Information Sharing and Integration: Combining the Social and the Technical. Papers from the 9th International Conference on Digital Government Research (d.g.o.2008)
Towards trusted intelligence information sharing
Proceedings of the ACM SIGKDD Workshop on CyberSecurity and Intelligence Informatics
Information sharing and timing: findings from two finnish organizations
CoLIS'05 Proceedings of the 5th international conference on Context: conceptions of Library and Information Sciences
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This article is based on an exploratory, interdisciplinary study of issues related to information sharing within and across three public agencies. Based on Schein's work, three subcultures within the public sector (scientist, politician, and bureaucrat) were identified as a framework to examine these issues. Dawes's three categories of benefits and barriers, associated with interagency information sharing (technical, organizational, and political), were also used in developing the framework. Their work has been extended by identifying three types of differences (view, use, and purpose) among these subcultural relationships to data and information. Four types of systems (social, constituency, technical, and organizational) that influence information-sharing processes within and across agencies also were identified. Two cases are offered to illustrate key points about information sharing across subcultures and some implications for research and practice to enhance abilities within the public sector to appropriately and effectively share information.