Demystifying big data: Anatomy of big data developmental process

This study seeks to understand big data ecology, how it is perceived by different stakeholders, the potential value and challenges, and the implications for the private sector and public organizations, as well as for policy makers. With Normalization Process Theory in place, this study conducts soci...

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Vydáno v:Telecommunications policy Ročník 40; číslo 9; s. 837 - 854
Hlavní autor: Shin, Dong-Hee
Médium: Journal Article
Jazyk:angličtina
Vydáno: Kidlington Elsevier Ltd 01.09.2016
Butterworth-Heinemann
Témata:
Anatomy
Big Data
Big data user
Big data user experience
Cognition
Data ecosystem
Data management
Developmental processes
Ecological monitoring
Ecology
Empirical analysis
Interest groups
Mathematical models
Motivation
Normalization
Normalization process theory
Organizations
Policies
Policy making
Private sector
Qualitative analysis
Qualitative research
Quantitative analysis
South Korea
Studies
Technology adoption
Telecommunications
Telecommunications policy
Theory
Values
South Korea
Normalization process theory
Big data user experience
Data ecosystem
Big data
Normalization
Big data user
ISSN:0308-5961, 1879-3258
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Popis
Shrnutí:This study seeks to understand big data ecology, how it is perceived by different stakeholders, the potential value and challenges, and the implications for the private sector and public organizations, as well as for policy makers. With Normalization Process Theory in place, this study conducts socio-technical evaluation on the big data phenomenon to understand the developmental processes through which new practices of thinking and enacting are implemented, embedded, and integrated in South Korea. It also undertakes empirical analyses of user modeling to explore the factors influencing users׳ adoption of big data by integrating cognitive motivations as well as user values as the primary determining factors. Based on the qualitative and quantitative findings, this study concludes that big data should be developed with user-centered ideas and that users should be the focus of big data design. •Big data acceptance and adoption.•Big data ecosystem from a normalization process theory.•Evaluating the big data developmental process.
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ISSN:0308-5961
1879-3258
DOI:10.1016/j.telpol.2015.03.007