What is he best known for?
The fields of study he is best known for:
- Computer network
- Marketing
- Supply chain management
Kannan Govindan mainly investigates Supply chain, Supply chain management, Environmental resource management, Process management and Industrial organization.
His Supply chain research incorporates themes from Quality, Process, Operations management, Environmental economics and Operations research.
Kannan Govindan interconnects Manufacturing, Management science, Reverse logistics and Cleaner production in the investigation of issues within Supply chain management.
Kannan Govindan has included themes like Context, Supply chain sustainability and Supply chain risk management in his Environmental resource management study.
His Process management research is multidisciplinary, relying on both Order, Analytic hierarchy process, Lean project management and GSM.
His studies deal with areas such as Reverse supply chain, Sustainable production, Marketing and Remanufacturing as well as Industrial organization.
His most cited work include:
- Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future (899 citations)
- Quantitative models for sustainable supply chain management: Developments and directions (672 citations)
- Multi criteria decision making approaches for green supplier evaluation and selection: a literature review (594 citations)
What are the main themes of his work throughout his whole career to date?
Supply chain, Supply chain management, Industrial organization, Environmental economics and Process management are his primary areas of study.
His Supply chain study combines topics in areas such as Operations management and Operations research.
His work carried out in the field of Supply chain management brings together such families of science as Manufacturing, Management science and Environmental resource management.
His research in Industrial organization intersects with topics in Commerce, Profit and Remanufacturing.
In Environmental economics, Kannan Govindan works on issues like Context, which are connected to Multiple-criteria decision analysis.
He works mostly in the field of Reverse logistics, limiting it down to topics relating to Process and, in certain cases, Analytic hierarchy process, as a part of the same area of interest.
He most often published in these fields:
- Supply chain (53.45%)
- Supply chain management (30.03%)
- Industrial organization (17.42%)
What were the highlights of his more recent work (between 2019-2021)?
- Supply chain (53.45%)
- Environmental economics (20.72%)
- Mathematical optimization (11.41%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Supply chain, Environmental economics, Mathematical optimization, Process and Reverse logistics.
He works on Supply chain which deals in particular with Supply chain management.
His biological study spans a wide range of topics, including Context and Municipal solid waste.
The Mathematical optimization study combines topics in areas such as Supply chain network and Fuzzy logic.
The various areas that Kannan Govindan examines in his Process study include Interval valued, Multiple-criteria decision analysis, Hazardous waste and Identification.
His research investigates the connection between Reverse logistics and topics such as Outsourcing that intersect with problems in Selection, Profitability index, Semantic analysis and Information quality.
Between 2019 and 2021, his most popular works were:
- A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). (79 citations)
- A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19). (79 citations)
- An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty (52 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Marketing
- Information technology
His primary areas of investigation include Supply chain, Reverse logistics, Social sustainability, Decision support system and Risk analysis.
His biological study focuses on Supply chain network.
His Reverse logistics research is multidisciplinary, incorporating elements of Outsourcing and Fuzzy logic.
The concepts of his Social sustainability study are interwoven with issues in Corporate social responsibility and Resource dependence theory.
His Decision support system study integrates concerns from other disciplines, such as Order and Emergency management.
His Stakeholder theory research is multidisciplinary, incorporating perspectives in Supply chain sustainability, Service, Tertiary sector of the economy, Supply chain management and Industrial organization.
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