Big data analytics: Perspective shifting from transactions to ecosystems

Daniel Zeng; Robert Lusch

doi:10.1109/MIS.2013.40

Big data analytics: Perspective shifting from transactions to ecosystems

Daniel Zeng, Robert Lusch

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Research output: Contribution to journal › Review article › peer-review

21 Scopus citations

Abstract

Understanding the flow and interrelated nature of institutions and business entities' processes and exchanges helps researchers develop and apply big data analytics techniques more effectively from an ecosystem-based perspective (rather than individual transactions and components).

Original language	English (US)
Article number	6547966
Pages (from-to)	2-5
Number of pages	4
Journal	IEEE Intelligent Systems
Volume	28
Issue number	2
DOIs	https://doi.org/10.1109/MIS.2013.40
State	Published - 2013

Keywords

artificial intelligence
big data analytics
ecosystem
intelligent systems

ASJC Scopus subject areas

Computer Networks and Communications
Artificial Intelligence

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10.1109/MIS.2013.40

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title = "Big data analytics: Perspective shifting from transactions to ecosystems",

abstract = "Understanding the flow and interrelated nature of institutions and business entities' processes and exchanges helps researchers develop and apply big data analytics techniques more effectively from an ecosystem-based perspective (rather than individual transactions and components).",

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pages = "2--5",

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T2 - Perspective shifting from transactions to ecosystems

AU - Zeng, Daniel

AU - Lusch, Robert

PY - 2013

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AB - Understanding the flow and interrelated nature of institutions and business entities' processes and exchanges helps researchers develop and apply big data analytics techniques more effectively from an ecosystem-based perspective (rather than individual transactions and components).

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KW - big data analytics

KW - ecosystem

KW - intelligent systems

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Big data analytics: Perspective shifting from transactions to ecosystems

Abstract

Keywords

ASJC Scopus subject areas

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