Adoption of Collaborative Technology to Enhance Master Data Quality Across Municipal Administrations - Identifying Drivers and Barriers
dc.contributor.author | Meske, Christian | |
dc.contributor.author | Heidekrüger, Robert | |
dc.contributor.author | Brockmann, Tobias | |
dc.contributor.author | Czerwonka, Matthias | |
dc.contributor.author | Stieglitz, Stefan | |
dc.date.accessioned | 2017-12-28T00:32:53Z | |
dc.date.available | 2017-12-28T00:32:53Z | |
dc.date.issued | 2018-01-03 | |
dc.description.abstract | In recent years, software for collaborative improvement of master data quality has been increasingly introduced into public administration. With the support of this collaborative software, master data is not only managed by one stakeholder such as an individual or department but rather cross-institutionally and across departments by groups of several stakeholders, e.g. several municipal authorities. In this paper, based on the Technology-Organization-Environment Framework, both driving forces as well as obstacles were identified, which influenced the adoption of such collaborative software. The results show, that positive factors concerning the adoption are perceived barriers, presence and importance of data standards as well as the successful implementation into the existing environment, whereas a complex IT-infrastructure impedes an introduction. | |
dc.format.extent | 10 pages | |
dc.identifier.doi | 10.24251/HICSS.2018.022 | |
dc.identifier.isbn | 978-0-9981331-1-9 | |
dc.identifier.uri | http://hdl.handle.net/10125/49909 | |
dc.language.iso | eng | |
dc.relation.ispartof | Proceedings of the 51st Hawaii International Conference on System Sciences | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Cross-Organizational and Cross-Border IS/IT Collaboration | |
dc.subject | Adoption, Administration, Collaboration, Master Data, Usage | |
dc.title | Adoption of Collaborative Technology to Enhance Master Data Quality Across Municipal Administrations - Identifying Drivers and Barriers | |
dc.type | Conference Paper | |
dc.type.dcmi | Text |
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