Matches in SemOpenAlex for { <https://semopenalex.org/work/W1924582544> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W1924582544 endingPage "174" @default.
- W1924582544 startingPage "167" @default.
- W1924582544 abstract "As technology advances and voluminous new data are generated on a daily basis, the ability to harness and utilise big data not only enhances firms' competitiveness but also equips governments for the twenty-first century. This study examines how governments can utilise big data to combat health challenges. The study focuses specifically on the Ebola outbreak in West Africa to illustrate how various technologies and techniques were utilised jointly to combat and contain the outbreak. An integrated technology roadmappping approach was developed which encompasses digital surveillance systems and traditional monitoring techniques to articulate how governments can capture value from big data to combat such contagious diseases. Policy and practical implications are identified and discussed." @default.
- W1924582544 created "2016-06-24" @default.
- W1924582544 creator A5026548376 @default.
- W1924582544 date "2016-09-01" @default.
- W1924582544 modified "2023-10-06" @default.
- W1924582544 title "Emerging economies, emerging challenges: Mobilising and capturing value from big data" @default.
- W1924582544 cites W1860068223 @default.
- W1924582544 cites W1997797506 @default.
- W1924582544 cites W2000247108 @default.
- W1924582544 cites W2007025273 @default.
- W1924582544 cites W2013596439 @default.
- W1924582544 cites W2023621772 @default.
- W1924582544 cites W2030582288 @default.
- W1924582544 cites W2036155128 @default.
- W1924582544 cites W2040816263 @default.
- W1924582544 cites W2045853031 @default.
- W1924582544 cites W2052681097 @default.
- W1924582544 cites W2056141603 @default.
- W1924582544 cites W2070747364 @default.
- W1924582544 cites W2079105722 @default.
- W1924582544 cites W2085090610 @default.
- W1924582544 cites W2087936817 @default.
- W1924582544 cites W2141975087 @default.
- W1924582544 cites W2153300021 @default.
- W1924582544 cites W2167395658 @default.
- W1924582544 cites W4237832962 @default.
- W1924582544 doi "https://doi.org/10.1016/j.techfore.2015.10.022" @default.
- W1924582544 hasPublicationYear "2016" @default.
- W1924582544 type Work @default.
- W1924582544 sameAs 1924582544 @default.
- W1924582544 citedByCount "59" @default.
- W1924582544 countsByYear W19245825442016 @default.
- W1924582544 countsByYear W19245825442017 @default.
- W1924582544 countsByYear W19245825442018 @default.
- W1924582544 countsByYear W19245825442019 @default.
- W1924582544 countsByYear W19245825442020 @default.
- W1924582544 countsByYear W19245825442021 @default.
- W1924582544 countsByYear W19245825442022 @default.
- W1924582544 countsByYear W19245825442023 @default.
- W1924582544 crossrefType "journal-article" @default.
- W1924582544 hasAuthorship W1924582544A5026548376 @default.
- W1924582544 hasBestOaLocation W19245825442 @default.
- W1924582544 hasConcept C10138342 @default.
- W1924582544 hasConcept C119857082 @default.
- W1924582544 hasConcept C121087249 @default.
- W1924582544 hasConcept C124101348 @default.
- W1924582544 hasConcept C144133560 @default.
- W1924582544 hasConcept C154945302 @default.
- W1924582544 hasConcept C207267971 @default.
- W1924582544 hasConcept C2522767166 @default.
- W1924582544 hasConcept C2776291640 @default.
- W1924582544 hasConcept C41008148 @default.
- W1924582544 hasConcept C75684735 @default.
- W1924582544 hasConceptScore W1924582544C10138342 @default.
- W1924582544 hasConceptScore W1924582544C119857082 @default.
- W1924582544 hasConceptScore W1924582544C121087249 @default.
- W1924582544 hasConceptScore W1924582544C124101348 @default.
- W1924582544 hasConceptScore W1924582544C144133560 @default.
- W1924582544 hasConceptScore W1924582544C154945302 @default.
- W1924582544 hasConceptScore W1924582544C207267971 @default.
- W1924582544 hasConceptScore W1924582544C2522767166 @default.
- W1924582544 hasConceptScore W1924582544C2776291640 @default.
- W1924582544 hasConceptScore W1924582544C41008148 @default.
- W1924582544 hasConceptScore W1924582544C75684735 @default.
- W1924582544 hasLocation W19245825441 @default.
- W1924582544 hasLocation W19245825442 @default.
- W1924582544 hasOpenAccess W1924582544 @default.
- W1924582544 hasPrimaryLocation W19245825441 @default.
- W1924582544 hasRelatedWork W2021936066 @default.
- W1924582544 hasRelatedWork W2489798763 @default.
- W1924582544 hasRelatedWork W2741202735 @default.
- W1924582544 hasRelatedWork W2791574837 @default.
- W1924582544 hasRelatedWork W2792501220 @default.
- W1924582544 hasRelatedWork W3119937747 @default.
- W1924582544 hasRelatedWork W3162861920 @default.
- W1924582544 hasRelatedWork W3213261151 @default.
- W1924582544 hasRelatedWork W4302394714 @default.
- W1924582544 hasRelatedWork W971625919 @default.
- W1924582544 hasVolume "110" @default.
- W1924582544 isParatext "false" @default.
- W1924582544 isRetracted "false" @default.
- W1924582544 magId "1924582544" @default.
- W1924582544 workType "article" @default.