Living Systems, Complexity & Information Systems Science
The paper examines some of the significant new developments in the epistemological framing of systems theory, and their application within the information and management sciences. Specifically, the article argues that Information Systems (IS) – at its heart a systems-science – requires an ongoing di...
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| Format: | Conference Paper |
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Association for Information Systems
2010
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| Online Access: | http://hdl.handle.net/20.500.11937/5433 |
| _version_ | 1848744795481047040 |
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| author | Knight, Shirlee-ann Halkett, Georgia |
| author2 | Bandara, W |
| author_facet | Bandara, W Knight, Shirlee-ann Halkett, Georgia |
| author_sort | Knight, Shirlee-ann |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The paper examines some of the significant new developments in the epistemological framing of systems theory, and their application within the information and management sciences. Specifically, the article argues that Information Systems (IS) – at its heart a systems-science – requires an ongoing discourse into how the metaphors of ‘living systems’, ‘complex systems’, and ‘complexity’ apply to the theoretical foundations of the IS discipline at large.Pragmatically, the implications of developing a complex and living systems framework to investigate IS phenomena has the capacity to synthesise the very way information systems researchers consider their discipline, and the scientific inquiry of it. The “information system” becomes a decentralised, complex and evolving entity, where notions of chaos theory; system self-organisation; autopoietic and dissipative networks; emergence; entropy; and nonlinear dynamics; provide a rich and novel way to investigate system behaviours, human cognitive behaviours, and the management and business contexts in which those behaviours occur. |
| first_indexed | 2025-11-14T06:07:08Z |
| format | Conference Paper |
| id | curtin-20.500.11937-5433 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:07:08Z |
| publishDate | 2010 |
| publisher | Association for Information Systems |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-54332022-12-09T07:12:35Z Living Systems, Complexity & Information Systems Science Knight, Shirlee-ann Halkett, Georgia Bandara, W Fernandez, W Rowlands, B Complex Adaptive Systems Living Systems Theory Complexity Research Philosophy Epistemology Complex Systems Methodology The paper examines some of the significant new developments in the epistemological framing of systems theory, and their application within the information and management sciences. Specifically, the article argues that Information Systems (IS) – at its heart a systems-science – requires an ongoing discourse into how the metaphors of ‘living systems’, ‘complex systems’, and ‘complexity’ apply to the theoretical foundations of the IS discipline at large.Pragmatically, the implications of developing a complex and living systems framework to investigate IS phenomena has the capacity to synthesise the very way information systems researchers consider their discipline, and the scientific inquiry of it. The “information system” becomes a decentralised, complex and evolving entity, where notions of chaos theory; system self-organisation; autopoietic and dissipative networks; emergence; entropy; and nonlinear dynamics; provide a rich and novel way to investigate system behaviours, human cognitive behaviours, and the management and business contexts in which those behaviours occur. 2010 Conference Paper http://hdl.handle.net/20.500.11937/5433 Association for Information Systems fulltext |
| spellingShingle | Complex Adaptive Systems Living Systems Theory Complexity Research Philosophy Epistemology Complex Systems Methodology Knight, Shirlee-ann Halkett, Georgia Living Systems, Complexity & Information Systems Science |
| title | Living Systems, Complexity & Information Systems Science |
| title_full | Living Systems, Complexity & Information Systems Science |
| title_fullStr | Living Systems, Complexity & Information Systems Science |
| title_full_unstemmed | Living Systems, Complexity & Information Systems Science |
| title_short | Living Systems, Complexity & Information Systems Science |
| title_sort | living systems, complexity & information systems science |
| topic | Complex Adaptive Systems Living Systems Theory Complexity Research Philosophy Epistemology Complex Systems Methodology |
| url | http://hdl.handle.net/20.500.11937/5433 |