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Big Data Analytics

2022
As the magnitude of accessible data grows, a multitude of business intelligence (BI) tools have emerged, all of which may be together referred to as big data analytics (BDA). BDA in supply chain management-related activities is essential because it can manage global, complex, tempestuous, and dynamic value chains. The powerful influence of big data (BD)
Arsalan Zahid Piprani   +2 more
  +5 more sources

Response to COVID-19 in Taiwan: Big Data Analytics, New Technology, and Proactive Testing.

Journal of the American Medical Association (JAMA), 2020
COVID-19 occurred just before the Lunar New Year during which time millions of Chinese and Taiwanese were expected to travel for the holidays Taiwan quickly mobilized and instituted specific approaches for case identification, containment, and resource ...
C. J. Wang   +4 more
semanticscholar   +1 more source

Big Data and Big Data Analytics

2021
Big data is emerging, and the latest developments in technology have spawned enormous amounts of data. The traditional databases lack the capabilities to handle this diverse data and thus has led to the employment of new technologies, methods, and tools. This research discusses big data, the available big data analytical tools, the need to use big data
Sam Goundar   +4 more
openaire   +1 more source

Determinants of big data analytics adoption in small and medium-sized enterprises (SMEs)

Industrial management & data systems, 2022
PurposeThe study challenges the assumption of independence among Technological, Organizational and Environmental (TOE) factors and investigates the influence of TOE factors on Big Data Analytics (BDA) adoption among Small and Medium Enterprises (SMEs ...
Parisa Maroufkhani   +2 more
semanticscholar   +1 more source

Big Data Analytics in Intelligent Transportation Systems: A Survey

IEEE transactions on intelligent transportation systems (Print), 2019
Big data is becoming a research focus in intelligent transportation systems (ITS), which can be seen in many projects around the world. Intelligent transportation systems will produce a large amount of data.
Li Zhu   +4 more
semanticscholar   +1 more source

Big data analytics

Strategic Direction, 2023
Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.
openaire   +2 more sources

Big data and decision quality: the role of management accountants’ data analytics skills

International Journal of Accounting & Information Management, 2022
Purpose Existing research on the relationship between big data and organizational decision quality is still few and far between, and what does exist often assumes direct effects of big data on decision quality.
F. Franke, M. Hiebl
semanticscholar   +1 more source

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