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Business intelligence in risk management: Some recent progresses · Study

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ArticleBusiness intelligence in risk management: Some recent progresses

Desheng Dash Wu2013

Article2013

Business intelligence in risk management: Some recent progresses

Desheng Dash Wu · Shu‐Heng Chen · David L. Olson

152 citations·0/0 files stored·Information Sciences

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Big Data and Business Intelligence Competitive and Knowledge Intelligence Impact of AI and Big Data on Business and Society

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References

1950Equilibrium points in n -person games 1978Decision support systems : an organizational perspective 1982Building effective decision support systems 2009Co-opetition and Technological Innovation in Small and Medium-Sized Enterprises: A Multilevel Conceptual Model 2012Supply chain risk management: present and future scope 2010A multi-agent based framework for supply chain risk management 1996Decision Aids for Selection Problems 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks

Cited by

2022Future of artificial intelligence and its influence on supply chain risk management – A systematic review 2023Influences of artificial intelligence and blockchain technology on financial resilience of supply chains 2018A Data Mining-Based Framework for Supply Chain Risk Management 2015A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh 2014Climate policy modeling: An online SCI-E and SSCI based literature review

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Year2013

Typearticle

Published2013-11-01

VenueInformation Sciences

ISSN-L0020-0255

Languageen

Citations152

Files0 public / 0

ShelfBig Data and Business Intelligence

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doi10.1016/j.ins.2013.10.008

openalex_workW2078897006

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2019Mediating role of enterprise risk management practices between business strategy and SME performance

2021Artificial Intelligence and Information System Resilience to Cope With Supply Chain Disruption

2020Using artificial intelligence to detect crisis related to events: Decision making in B2B by artificial intelligence