European Regional Conference of the International Telecommunications Society 2015, pp.1-14
Language
English
Type
Conference Paper
Abstract
Big data is expected to be the innovation engine driving new digital transformations of businesses. The proportion of firms implementing and utilizing big data, however, is not high. There exist many challenges for promoting the business diffusion of big data. The purpose of this paper is to identify and prioritize the factors influencing the big data adoption and usage in firms from technology-organization-environment (TOE) perspectives. The results of analytic hierarchy process (AHP) method using the data collected from the expert survey in Korea are follows: The perception of benefits from big data and technological capability are identified as the critical determinants of the big data adoption. The compatibility with existing system, data quality and integration, and security and privacy are ranked highly in technology context. Management support and financial investment competence for the implementation and utilization of big data, and the government support and policy are identified as the adoption and usage factors from organization and environment aspects, respectively. We proposed the suggestions for activating big data in firm from the findings.
KSP Keywords
Analytic hierarchy process (ahp), Big Data Adoption, Data Quality, Data collected, Government support, Technological capability, Technology-Organization-Environment, expert survey, financial investment, management support, security and privacy
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