Please use this identifier to cite or link to this item:
https://doi.org/10.17645/pag.v6i4.1757
DC Field | Value | |
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dc.title | Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation | |
dc.contributor.author | REUBEN NG | |
dc.date.accessioned | 2018-11-22T04:51:15Z | |
dc.date.available | 2018-11-22T04:51:15Z | |
dc.date.issued | 2018-11-21 | |
dc.identifier.citation | REUBEN NG (2018-11-21). Cloud Computing in Singapore: Key Drivers and Recommendations for a Smart Nation. Politics and Governance 6 (4) : 39–47. ScholarBank@NUS Repository. https://doi.org/10.17645/pag.v6i4.1757 | |
dc.identifier.issn | 21832463 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/148905 | |
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. | |
dc.publisher | Cogitatio | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | big data | |
dc.subject | cloud computing | |
dc.subject | public management | |
dc.subject | psychomics | |
dc.subject | public policy | |
dc.subject | Singapore | |
dc.subject | Smart city | |
dc.type | Others | |
dc.contributor.department | LEE KUAN YEW SCHOOL OF PUBLIC POLICY | |
dc.description.doi | 10.17645/pag.v6i4.1757 | |
dc.description.sourcetitle | Politics and Governance | |
dc.description.volume | 6 | |
dc.description.issue | 4 | |
dc.description.page | 39–47 | |
dc.published.state | Published | |
Appears in Collections: | Elements Staff Publications |
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