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Big data analytics in health sector: Theoretical framework, techniques and prospects · Study

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Big data analytics in health sector: Theoretical framework, techniques and prospects

Panagiota Galetsi⁠, Korina Katsaliaki, Sameer Kumar

2019-06-14articleInternational Journal of Information Management210 citationsclosed

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Big Data Technologies and Applications Artificial Intelligence in Healthcare Big Data and Business Intelligence

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References

1991Firm Resources and Sustained Competitive Advantage

2004Firm resources and sustained competitive advantage

2003Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review

2012Business Intelligence and Analytics: From Big Data to Big Impact

2014Beyond the hype: Big data concepts, methods, and analytics

2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

2016Big data analytics and firm performance: Effects of dynamic capabilities

2015How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study

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2023Data‐driven insights for circular and sustainable food supply chains: An empirical exploration of big data and predictive analytics in enhancing social sustainability performance

2023Harnessing Predictive Analytics for Strategic Foresight: A Comprehensive Review of Techniques and Applications in Transforming Raw Data to Actionable Insights

2021Decoding digital transformational outsourcing: The role of service providers’ capabilities

2020Influencing models and determinants in big data analytics research: A bibliometric analysis

Details

Year2019

Typearticle

VenueInternational Journal of Information Management

Languageen

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Identifiers

doi10.1016/j.ijinfomgt.2019.05.003

openalex_workW2965611341

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