Matches in SemOpenAlex for { <https://semopenalex.org/work/W3136643822> ?p ?o ?g. }
- W3136643822 endingPage "266" @default.
- W3136643822 startingPage "250" @default.
- W3136643822 abstract "Big data is presently considered integral to the management and strategies for digital enterprise transformation. Beyond being ‘a lot of data', big data can be characterized in terms of seven Vs: volume, velocity, variety, variability, veracity, visualization, and value. Already being applied in private businesses, big data has immense potential for the digital transformation of public services in advancing the e-governance agenda. This chapter explores the nature of big data in public service and discusses its application in areas such as tax administration, transportation, energy, public health, and disaster management. Challenges and concerns are noted in terms of data quality, infrastructure cost, availability of suitable human resources, privacy, and security. Possible solutions such as shared services, cloud computing, open source software, open data framework, and regulatory compliance are noted. The chapter ends by noting future research directions to realize the full potential of Big data application in digital transformation of public services." @default.
- W3136643822 created "2021-03-29" @default.
- W3136643822 creator A5059465063 @default.
- W3136643822 date "2021-01-01" @default.
- W3136643822 modified "2023-10-18" @default.
- W3136643822 title "Big Data for Digital Transformation of Public Services" @default.
- W3136643822 cites W1874207199 @default.
- W3136643822 cites W1924115949 @default.
- W3136643822 cites W1946821631 @default.
- W3136643822 cites W1967963969 @default.
- W3136643822 cites W2033900397 @default.
- W3136643822 cites W2048308733 @default.
- W3136643822 cites W2059023063 @default.
- W3136643822 cites W2079105722 @default.
- W3136643822 cites W2098877474 @default.
- W3136643822 cites W2131307433 @default.
- W3136643822 cites W2155600465 @default.
- W3136643822 cites W2172250756 @default.
- W3136643822 cites W2191365824 @default.
- W3136643822 cites W2219836174 @default.
- W3136643822 cites W2266849824 @default.
- W3136643822 cites W2296200172 @default.
- W3136643822 cites W2337653132 @default.
- W3136643822 cites W2513202618 @default.
- W3136643822 cites W2515300481 @default.
- W3136643822 cites W2515357500 @default.
- W3136643822 cites W2534263193 @default.
- W3136643822 cites W2548753368 @default.
- W3136643822 cites W2585408774 @default.
- W3136643822 cites W2602669986 @default.
- W3136643822 cites W2625450490 @default.
- W3136643822 cites W2747765175 @default.
- W3136643822 cites W2766349247 @default.
- W3136643822 cites W2802508687 @default.
- W3136643822 cites W2806477319 @default.
- W3136643822 cites W2887119851 @default.
- W3136643822 cites W2889850233 @default.
- W3136643822 cites W2899262241 @default.
- W3136643822 cites W2903744564 @default.
- W3136643822 cites W2911848716 @default.
- W3136643822 cites W2924513333 @default.
- W3136643822 cites W2945326446 @default.
- W3136643822 cites W2963511536 @default.
- W3136643822 cites W2965023199 @default.
- W3136643822 cites W2982396839 @default.
- W3136643822 cites W2984632147 @default.
- W3136643822 cites W2996971132 @default.
- W3136643822 cites W3004750362 @default.
- W3136643822 cites W3013489245 @default.
- W3136643822 cites W3016606041 @default.
- W3136643822 cites W3025688961 @default.
- W3136643822 cites W4243830291 @default.
- W3136643822 doi "https://doi.org/10.4018/978-1-7998-8583-2.ch013" @default.
- W3136643822 hasPublicationYear "2021" @default.
- W3136643822 type Work @default.
- W3136643822 sameAs 3136643822 @default.
- W3136643822 citedByCount "3" @default.
- W3136643822 countsByYear W31366438222022 @default.
- W3136643822 crossrefType "book-chapter" @default.
- W3136643822 hasAuthorship W3136643822A5059465063 @default.
- W3136643822 hasConcept C10138342 @default.
- W3136643822 hasConcept C111919701 @default.
- W3136643822 hasConcept C124101348 @default.
- W3136643822 hasConcept C126082660 @default.
- W3136643822 hasConcept C136197465 @default.
- W3136643822 hasConcept C136764020 @default.
- W3136643822 hasConcept C144133560 @default.
- W3136643822 hasConcept C154945302 @default.
- W3136643822 hasConcept C162853370 @default.
- W3136643822 hasConcept C196879817 @default.
- W3136643822 hasConcept C24756922 @default.
- W3136643822 hasConcept C2522767166 @default.
- W3136643822 hasConcept C2780378061 @default.
- W3136643822 hasConcept C38652104 @default.
- W3136643822 hasConcept C39389867 @default.
- W3136643822 hasConcept C41008148 @default.
- W3136643822 hasConcept C56739046 @default.
- W3136643822 hasConcept C75684735 @default.
- W3136643822 hasConcept C79974875 @default.
- W3136643822 hasConceptScore W3136643822C10138342 @default.
- W3136643822 hasConceptScore W3136643822C111919701 @default.
- W3136643822 hasConceptScore W3136643822C124101348 @default.
- W3136643822 hasConceptScore W3136643822C126082660 @default.
- W3136643822 hasConceptScore W3136643822C136197465 @default.
- W3136643822 hasConceptScore W3136643822C136764020 @default.
- W3136643822 hasConceptScore W3136643822C144133560 @default.
- W3136643822 hasConceptScore W3136643822C154945302 @default.
- W3136643822 hasConceptScore W3136643822C162853370 @default.
- W3136643822 hasConceptScore W3136643822C196879817 @default.
- W3136643822 hasConceptScore W3136643822C24756922 @default.
- W3136643822 hasConceptScore W3136643822C2522767166 @default.
- W3136643822 hasConceptScore W3136643822C2780378061 @default.
- W3136643822 hasConceptScore W3136643822C38652104 @default.
- W3136643822 hasConceptScore W3136643822C39389867 @default.
- W3136643822 hasConceptScore W3136643822C41008148 @default.
- W3136643822 hasConceptScore W3136643822C56739046 @default.
- W3136643822 hasConceptScore W3136643822C75684735 @default.
- W3136643822 hasConceptScore W3136643822C79974875 @default.