dc.contributor.author | Ng, Reuben | de |
dc.date.accessioned | 2021-08-03T09:15:59Z | |
dc.date.available | 2021-08-03T09:15:59Z | |
dc.date.issued | 2018 | de |
dc.identifier.issn | 2183-2463 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/74198 | |
dc.description.abstract | Cloud computing adoption enables big data applications in governance and policy. Singapore’s adoption of cloud computing is propelled by five key drivers: (1) public demand for and satisfaction with e-government services; (2) focus on whole-of-government policies and practices; (3) restructuring of technology agencies to integrate strategy and implementation; (4) building the Smart Nation Platform; (5) purpose-driven cloud applications especially in healthcare. This commentary also provides recommendations to propel big data applications in public policy and management: (a) technologically, embrace cloud analytics, and explore "fog computing" - an emerging technology that enables on-site data sense-making before transmission to the cloud; (b) promote regulatory sandboxes to experiment with policies that proactively manage novel technologies and business models that may radically change society; (c) on the collaboration front, establish unconventional partnerships to co-innovate on challenges like the skills-gap - an example is the unprecedented partnership led by the Lee Kuan Yew School of Public Policy with the government, private sector and unions. | de |
dc.language | en | de |
dc.subject.ddc | Technik, Technologie | de |
dc.subject.ddc | Technology (Applied sciences) | en |
dc.subject.other | big data; cloud computing; psychomics; public management; public policy; smart city | de |
dc.title | Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation | de |
dc.description.review | begutachtet | de |
dc.description.review | reviewed | en |
dc.identifier.url | https://www.cogitatiopress.com/politicsandgovernance/article/view/1757 | de |
dc.source.journal | Politics and Governance | |
dc.source.volume | 6 | de |
dc.publisher.country | PRT | de |
dc.source.issue | 4 | de |
dc.subject.classoz | Technikfolgenabschätzung | de |
dc.subject.classoz | Technology Assessment | en |
dc.subject.thesoz | Singapur | de |
dc.subject.thesoz | Singapore | en |
dc.subject.thesoz | Electronic Government | de |
dc.subject.thesoz | electronic government | en |
dc.subject.thesoz | öffentliche Verwaltung | de |
dc.subject.thesoz | public administration | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10057936 | |
internal.identifier.thesoz | 10065813 | |
internal.identifier.thesoz | 10048477 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 39-47 | de |
internal.identifier.classoz | 20800 | |
internal.identifier.journal | 787 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 600 | |
dc.source.issuetopic | Big Data Applications in Governance and Policy | de |
dc.identifier.doi | https://doi.org/10.17645/pag.v6i4.1757 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 2 | |
internal.dda.reference | https://www.cogitatiopress.com/politicsandgovernance/oai/@@oai:ojs.cogitatiopress.com:article/1757 | |
ssoar.urn.registration | false | de |