D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Business and Management D-index 43 Citations 6,985 94 World Ranking 587 National Ranking 267

Overview

What is he best known for?

The fields of study he is best known for:

  • Management
  • Marketing
  • Information technology

Benjamin T. Hazen spends much of his time researching Supply chain, Marketing, Knowledge management, Supply chain management and Big data. The various areas that Benjamin T. Hazen examines in his Supply chain study include Development theory and Public relations. His work on Quality and Competitive advantage as part of general Marketing research is frequently linked to Remanufacturing, bridging the gap between disciplines.

His research in Competitive advantage intersects with topics in Green logistics and Reverse logistics. His work in Knowledge management covers topics such as Resource which are related to areas like Operations management. His Big data research is multidisciplinary, incorporating elements of Predictive analytics, Data science and Organizational performance.

His most cited work include:

  • Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (404 citations)
  • Big data and predictive analytics for supply chain and organizational performance (316 citations)
  • Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach (149 citations)

What are the main themes of his work throughout his whole career to date?

Benjamin T. Hazen mainly focuses on Supply chain, Knowledge management, Marketing, Supply chain management and Process management. His studies in Supply chain integrate themes in fields like Management science, Product and Operations management. The various areas that he examines in his Knowledge management study include Integrated logistics support, Resource, Process and Flexibility.

In the field of Marketing, his study on Quality and Reverse logistics overlaps with subjects such as Remanufacturing and Beijing. His Supply chain management study integrates concerns from other disciplines, such as Information management, Data management and Big data. As part of the same scientific family, he usually focuses on Big data, concentrating on Predictive analytics and intersecting with Statistical process control.

He most often published in these fields:

  • Supply chain (46.49%)
  • Knowledge management (32.46%)
  • Marketing (31.58%)

What were the highlights of his more recent work (between 2018-2021)?

  • Supply chain (46.49%)
  • Circular economy (5.26%)
  • Big data (12.28%)

In recent papers he was focusing on the following fields of study:

Benjamin T. Hazen focuses on Supply chain, Circular economy, Big data, Social sustainability and Emerging markets. The Supplier relationship management research he does as part of his general Supply chain study is frequently linked to other disciplines of science, such as Bioplastic, therefore creating a link between diverse domains of science. His studies deal with areas such as Risk analysis, Customer relationship management and Operations management as well as Supplier relationship management.

His Big data study combines topics from a wide range of disciplines, such as Supply chain management, Humanitarian Logistics, Decision support system and Knowledge management. His research ties Process management and Supply chain management together. His study in Knowledge management is interdisciplinary in nature, drawing from both Predictive analytics, Stakeholder theory, Stakeholder and Supply chain network.

Between 2018 and 2021, his most popular works were:

  • Understanding Risk Management for Intentional Supply Chain Disruptions: Risk Detection, Risk Mitigation, and Risk Recovery (56 citations)
  • Circular economy and big data analytics: A stakeholder perspective (50 citations)
  • Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations (37 citations)

In his most recent research, the most cited papers focused on:

  • Management
  • Marketing
  • Information technology

His main research concerns Supply chain, Environmental economics, Big data, Supply chain management and Product. The study incorporates disciplines such as Stakeholder theory, Stakeholder, Knowledge management and Operations management in addition to Supply chain. Benjamin T. Hazen has researched Environmental economics in several fields, including Resource-based view and Environmental resource management.

His Big data research incorporates themes from Dynamic capabilities and Artificial intelligence. His research in the fields of Supply chain network overlaps with other disciplines such as Empirical evidence, Triple bottom line and Conceptual model. Among his Product studies, you can observe a synthesis of other disciplines of science such as Food waste, Bioplastic, Circular economy, Mediation and Reuse.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications

Benjamin T. Hazen;Christopher A. Boone;Jeremy D. Ezell;L. Allison Jones-Farmer.
International Journal of Production Economics (2014)

705 Citations

Big data and predictive analytics for supply chain and organizational performance

Angappa Gunasekaran;Thanos Papadopoulos;Rameshwar Dubey;Samuel Fosso Wamba.
Journal of Business Research (2017)

350 Citations

Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to go to the Cloud

Yun Wu;Casey G. Cegielski;Benjamin T. Hazen;Dianne J. Hall.
Journal of Supply Chain Management (2013)

257 Citations

Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach

Casey G. Cegielski;L. Allison Jones‐Farmer;Yun Wu;Benjamin T. Hazen.
The International Journal of Logistics Management (2012)

243 Citations

Consumer product knowledge and intention to purchase remanufactured products

Yacan Wang;Benjamin T. Hazen.
International Journal of Production Economics (2016)

210 Citations

Diffusion of green supply chain management: Examining perceived quality of green reverse logistics

Benjamin T. Hazen;Casey Cegielski;Joe B. Hanna.
The International Journal of Logistics Management (2011)

189 Citations

Toward creating competitive advantage with logistics information technology

Benjamin T. Hazen;Terry Anthony Byrd.
International Journal of Physical Distribution & Logistics Management (2012)

178 Citations

Remanufacturing for the Circular Economy: An Examination of Consumer Switching Behavior

Benjamin T. Hazen;Diane A. Mollenkopf;Yacan Wang.
Business Strategy and The Environment (2017)

175 Citations

Big data and predictive analytics for supply chain sustainability

Benjamin T. Hazen;Joseph B. Skipper;Jeremy D. Ezell;Christopher A. Boone.
Computers & Industrial Engineering (2016)

173 Citations

The role of ambiguity tolerance in consumer perception of remanufactured products

Benjamin T. Hazen;Robert E. Overstreet;L. Allison Jones-Farmer;Hubert S. Field.
International Journal of Production Economics (2012)

172 Citations

Best Scientists Citing Benjamin T. Hazen

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Rameshwar Dubey

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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