Ming-Dung Fu

Management Information Systems · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ming-Dung Fu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. E. Manavalan
  2. Angappa Gunasekaran
  3. Daniel Q. Chen
  4. Roberto Chavez

Papers from Ming-Dung Fu's perspective

Ordered by how strongly the researchers Ming-Dung Fu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management
  2. Data science, predictive analytics, and big data in supply chain management: Current state and future potential
  3. How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study
  4. The impact of big data on world-class sustainable manufacturing (The International Journal of Advanced Manufacturing Technology)
  5. How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (Journal of Management Information Systems)
  6. Big Data in product lifecycle management (The International Journal of Advanced Manufacturing Technology)
  7. Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management
  8. Big data and predictive analytics for supply chain and organizational performance
  9. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications
  10. Artificial intelligence in supply chain management: theory and applications

Their papers