{"title":"Synthesizing Design and Informing Science Rationales for Driving a Decentralized Generative Knowledge Management Agenda","authors":"U. Schmitt, T. Gill","doi":"10.28945/4264","DOIUrl":null,"url":null,"abstract":"[This Proceedings paper was revised and published in the 2019 issue of Informing Science: The International Journal of an Emerging Transdiscipline, Volume 22.]\n\nAim/Purpose: In a world of rapidly expanding complexity and exponentially increasing data availability, IT-based knowledge management tools will be needed to manage and curate available information. This paper looks at a particular tool architecture that has been previously proposed: The Personal Knowledge Management System (PKMS). The specific focus is on how the proposed architecture conforms to design science principles that relate to how it is likely to evolve.\n\nBackground: We first introduce some recent informing science and design science research frameworks, then examine how the PKMS architecture would conform to these.\n\nMethodology: The approach taken is conceptual analysis.\n\nContribution: The analysis provides a clearer understanding of how the proposed PKMS would serve the diverse-client ambiguous-target (DCAT) informing scenario and how it could be expected to evolve.\n\nFindings: We demonstrate how the PKMS informing architecture can be characterized as a “social machine” that appears to conform to a number of principles that would facilitate its long-term evolution.\n\nFuture Research: The example provided by the paper could serve as a model future research seeking to integrate design science and informing science in the study of IT artefacts.","PeriodicalId":39754,"journal":{"name":"Informing Science","volume":"69 1","pages":"1-18"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informing Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.28945/4264","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
[This Proceedings paper was revised and published in the 2019 issue of Informing Science: The International Journal of an Emerging Transdiscipline, Volume 22.]
Aim/Purpose: In a world of rapidly expanding complexity and exponentially increasing data availability, IT-based knowledge management tools will be needed to manage and curate available information. This paper looks at a particular tool architecture that has been previously proposed: The Personal Knowledge Management System (PKMS). The specific focus is on how the proposed architecture conforms to design science principles that relate to how it is likely to evolve.
Background: We first introduce some recent informing science and design science research frameworks, then examine how the PKMS architecture would conform to these.
Methodology: The approach taken is conceptual analysis.
Contribution: The analysis provides a clearer understanding of how the proposed PKMS would serve the diverse-client ambiguous-target (DCAT) informing scenario and how it could be expected to evolve.
Findings: We demonstrate how the PKMS informing architecture can be characterized as a “social machine” that appears to conform to a number of principles that would facilitate its long-term evolution.
Future Research: The example provided by the paper could serve as a model future research seeking to integrate design science and informing science in the study of IT artefacts.
期刊介绍:
The academically peer refereed journal Informing Science endeavors to provide an understanding of the complexities in informing clientele. Fields from information systems, library science, journalism in all its forms to education all contribute to this science. These fields, which developed independently and have been researched in separate disciplines, are evolving to form a new transdiscipline, Informing Science.