Virginia L. M. Spiegler

Management Information Systems · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Virginia L. M. Spiegler trusts overall

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

  1. Stefan Seuring
  2. Kathleen M. Eisenhardt
  3. J. Liedtka

Papers from Virginia L. M. Spiegler's perspective

Ordered by how strongly the researchers Virginia L. M. Spiegler trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Building theories from case study research (STUDI ORGANIZZATIVI)
  2. Harvesting big data to enhance supply chain innovation capabilities: An analytic infrastructure based on deduction graph
  3. Data Science, Predictive Analytics, and Big Data: A Revolution that Will Transform Supply Chain Design and Management
  4. The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities (Decision Sciences)
  5. How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study
  6. Predicting the performance of online consumer reviews: A sentiment mining approach to big data analytics (Decision Support Systems)
  7. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (Information Sciences)
  8. The impact of big data on world-class sustainable manufacturing (The International Journal of Advanced Manufacturing Technology)
  9. On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks (Management Sciences)
  10. Beyond the hype: Big data concepts, methods, and analytics (International Journal of Information Management)

Their papers