M. Joy Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Student

Last publication 2024 Last refreshed 2026-05-16

faculty

5 h-index 13 pubs 344 cited

Biography and Research Information

OverviewAI-generated summary

M. Joy, a student at Southern Arkansas University, focuses on the application of big data and artificial intelligence to optimize decision-making across various domains. Recent publications explore the transformation of enterprise financial management through big data, the integration of machine learning for real-time disease detection in smart healthcare, and AI-powered predictive analytics for intellectual property risk management in supply chains. Other work investigates the convergence of cloud security and strategic accounting for business sustainability and the use of interpretable machine learning for septic shock detection. Joy's research demonstrates a commitment to leveraging advanced analytical techniques for practical problem-solving in finance, healthcare, and business operations.

Metrics

  • h-index: 5
  • Publications: 13
  • Citations: 344

Selected Publications

  • AI-Powered Predictive Analytics For Intellectual Property Risk Management In Supply Chain Operations: A Big Data Approach (2024)
    6 citations DOI OpenAlex
  • AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH (2024)
    10 citations DOI OpenAlex
  • DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA (2024)
    26 citations DOI OpenAlex
  • None (2024)
    3 citations DOI OpenAlex
  • INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS (2024)
    22 citations DOI OpenAlex
  • REVOLUTIONISING FINANCIAL DATA MANAGEMENT: THE CONVERGENCE OF CLOUD SECURITY AND STRATEGIC ACCOUNTING IN BUSINESS SUSTAINABILITY (2024)
    10 citations DOI OpenAlex

View all publications on OpenAlex →

Similar Researchers

Based on overlapping research topics