Open AccessThe Research on Ecological Chain Structure of High Intelligence Work in the Big Data Era
Author(s) -
Yin Feng-chun,
Yuan Wen-li
Publication year - 2017
Publication title -
management and organizational studies
Language(s) - English
Resource type - Journals
eISSN - 2330-5509
pISSN - 2330-5495
DOI - 10.5430/mos.v4n4p29
Subject(s) - embeddedness , big data , chain (unit) , work (physics) , value chain , ecology , value (mathematics) , representation (politics) , competition (biology) , business , environmental resource management , computer science , sociology , supply chain , economics , engineering , marketing , political science , biology , social science , mechanical engineering , physics , astronomy , machine learning , politics , law , operating system
In the big data era, highly intelligent job embeddedness promotes organizational ecology, chain value, and development potential. This paper analyzes the nature and representation of intellectual work embedded, and explores the operation mode of big data era intellectual work embedded in the ecological chain, based on cooperative competition ecological chain, value chain, proliferation of ecological symbiotic ecosystem, ecological equilibrium chain, information aggregation structure driven ecological chain, optimizing the environment of the ecological chain.