Mahya Seyedan

Management Science and Operations Research · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mahya Seyedan trusts overall

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

  1. Réal André Carbonneau
  2. Marko Bohanec
  3. Gang Wang
  4. Truong Van Nguyen
  5. Nir Kshetri
  6. Angappa Gunasekaran
  7. Kevin Laframboise
  8. Mirjana Kljajic Borstnar
  9. Li Zhou
  10. Jiawei Han

Papers from Mahya Seyedan's perspective

Ordered by how strongly the researchers Mahya Seyedan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A big data approach for logistics trajectory discovery from RFID-enabled production data
  2. Big data analytics in logistics and supply chain management: Certain investigations for research and applications
  3. Data Mining: Concepts and Techniques
  4. A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm
  5. Application of machine learning techniques for supply chain demand forecasting (European Journal of Operational Research)
  6. Tourism analytics with massive user-generated content: a case study of Barcelona.
  7. Explaining machine learning models in sales predictions
  8. 1 Blockchain's roles in meeting key supply chain management objectives (International Journal of Information Management)
  9. Big data analytics in supply chain management: A state-of-the-art literature review (Computers & Operations Research)
  10. Digital Supply Chain: Literature review and a proposed framework for future research (Computers in industry (Print))

Their papers