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Prof. Dr. Kannan Govindan
Centre for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, Odense M-5230, Denmark

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0 Decision Analysis
0 Reverse Logistics
0 Green Supply Chain Management
0 sustainable supply chain management
0 Supply Chain Risk Management

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Reverse Logistics
Green Supply Chain Management
multi-criteria decision-making
sustainable supply chain management
Decision Analysis
Supply Chain Risk Management
Closed-loop supply chains

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Journal article
Published: 05 August 2021 in Annals of Operations Research
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In today’s dynamic and competitive business environment, it is critical for firms to share information selectively and develop organizational resilience. However, only a few existing studies examine the relationships between information management and supply chain resilience. Aiming to bridge the gaps between both domains, we propose a model encompassing information security culture, information leakage, information sharing effectiveness and supply chain resilience and to derive insights from their inter-relationships in this research. A cross-sectional survey of the multi-national corporations and small and medium enterprises among their senior managers in the United Kingdom was carried out for data collection. The data set was analysed using a structural equation modelling approach. The results obtained validate the proposed model. The findings ascertain that information security culture and information leakage are negatively correlated, which influence the supply chain resilience. Specifically, information security and information leakage affect the effectiveness of information sharing, which in turn positively and negatively influence the supply chain resilience, respectively. This study posits that information security culture is instrumental to mitigate information leakage and foster effective information sharing to strengthen supply chain resilience.

ACS Style

Wai-Peng Wong; Kim Hua Tan; Kannan Govindan; Di Li; Ajay Kumar. A conceptual framework for information-leakage-resilience. Annals of Operations Research 2021, 1 -21.

AMA Style

Wai-Peng Wong, Kim Hua Tan, Kannan Govindan, Di Li, Ajay Kumar. A conceptual framework for information-leakage-resilience. Annals of Operations Research. 2021; ():1-21.

Chicago/Turabian Style

Wai-Peng Wong; Kim Hua Tan; Kannan Govindan; Di Li; Ajay Kumar. 2021. "A conceptual framework for information-leakage-resilience." Annals of Operations Research , no. : 1-21.

Journal article
Published: 28 July 2021 in IEEE Transactions on Engineering Management
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In recent years, increasing resource consumption worldwide has alarmed experts. This problem contributes to the need for more ecological solutions and processes including the use of renewable energies, which reduces organizations’ environmental impact. To find ways to improve new green solutions and process integration, researchers need to study and measure these innovation effects, especially on small- and medium-sized enterprises (SMEs). However, evaluating renewable energy impacts on SMEs is not as easy as would first appear. This challenge can be addressed by developing an analysis model to mitigate the limitations of recent studies and, concurrently, deal with this complex subjective issue. In this article, the combined use of cognitive mapping and the decision-making trial and evaluation laboratory (DEMATEL) technique facilitated the generation of a complete, transparent, and informed model that can help managers make better decisions in this context. Specifically, grounded in intensive group work sessions with renewable energy specialists, the results address some of the limitations of more generic models and include a multicriteria analysis system that provides guidelines for renewable energy management practices, with the potential to improve SME performance. To enable a fuller interpretation of the decision problem in question, the most important indicators were identified and the cause-and-effect relationships between these criteria were analyzed. The findings were validated by the panel members and a member of the Portuguese Renewable Energy Association. The advantages and limitations of the proposed model are also discussed.

ACS Style

Goncalo F. Estupendo; Fernando A. F. Ferreira; Kannan Govindan; Ricardo J. C. Correia; Leandro F. Pereira; Ieva Meidute-Kavaliauskiene. “Life After Coal”: Renewable Energy Impacts on SME Conduct. IEEE Transactions on Engineering Management 2021, PP, 1 -16.

AMA Style

Goncalo F. Estupendo, Fernando A. F. Ferreira, Kannan Govindan, Ricardo J. C. Correia, Leandro F. Pereira, Ieva Meidute-Kavaliauskiene. “Life After Coal”: Renewable Energy Impacts on SME Conduct. IEEE Transactions on Engineering Management. 2021; PP (99):1-16.

Chicago/Turabian Style

Goncalo F. Estupendo; Fernando A. F. Ferreira; Kannan Govindan; Ricardo J. C. Correia; Leandro F. Pereira; Ieva Meidute-Kavaliauskiene. 2021. "“Life After Coal”: Renewable Energy Impacts on SME Conduct." IEEE Transactions on Engineering Management PP, no. 99: 1-16.

Journal article
Published: 13 July 2021 in International Journal of Production Research
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During COVID-19, supply chain (SC) mapping has appeared as one of the critical supply chain capabilities that could make a striking difference in organisations’ supply chain performance. Despite its crucial role in responding to SC disruptions, there is a void in the literature on this topic. In this context, the prime objective of the current study is to introduce a comprehensive measure of SC mapping accounting for its various dimensions. A review of the literature is conducted to identify the relevant dimensions and sub-dimensions of SC mapping. Next, two rounds of focused group discussions are conducted in order to refine the identified dimensions and to add any relevant dimensions of SC mapping. Third, we employ exploratory factor analysis to develop the construct of SC mapping. The findings reveal that SC mapping has three major dimensions, namely upstream mapping, downstream mapping, and midstream mapping, with a total 25 items. The developed construct can be used to operationalise the SC mapping and to examine its antecedents and precedents.

ACS Style

Muhammad Shujaat Mubarik; Simonov Kusi-Sarpong; Kannan Govindan; Sharfuddin Ahmed Khan; Adegboyega Oyedijo. Supply chain mapping: a proposed construct. International Journal of Production Research 2021, 1 -17.

AMA Style

Muhammad Shujaat Mubarik, Simonov Kusi-Sarpong, Kannan Govindan, Sharfuddin Ahmed Khan, Adegboyega Oyedijo. Supply chain mapping: a proposed construct. International Journal of Production Research. 2021; ():1-17.

Chicago/Turabian Style

Muhammad Shujaat Mubarik; Simonov Kusi-Sarpong; Kannan Govindan; Sharfuddin Ahmed Khan; Adegboyega Oyedijo. 2021. "Supply chain mapping: a proposed construct." International Journal of Production Research , no. : 1-17.

Journal article
Published: 26 June 2021 in Computers & Industrial Engineering
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Over the past decades, the significant adverse effects of economic and industrial human activities on the environment have led to the introduction of sustainability and sustainable development concepts. Based on the principles of sustainable development, in a decision/production process, managers and policymakers should not only have economic concerns but also consider social and environmental issues. In this regard, local and national governments have been convinced to intervene in supply chains mostly by imposing subsidies and/or taxes to make their activities more sustainable. Accordingly, designing sustainable supply chains has turned into a critical issue for both managers and researchers in different industries. Transportation and distribution represent two of the most unsustainable steps in any supply chain; cooperation with Third-Party Logistics (3PL) companies could help to make these steps sustainable. The main purpose of this study is to investigate the issue of sustainable supply chain management under the presence of the government and through the application of an outsourcing strategy to a 3PL company in the transportation sector. The problem is studied according to different formats of competition, decision-making, number of players, and public awareness. Considering different decision structures, the game theory is applied to model the problem and obtain the equilibrium values. Finally, a sensitivity analysis is conducted on each model, and some numerical examples are solved to show how applicable the models are. The results show that cooperation with 3PLs in a supply chain enhances the public awareness about environmental issues and promotes the sustainability of the supply chain. Governmental tariffs can also serve as practical tools to push supply chains towards sustainable strategies.

ACS Style

Ali Mahmoudi; Kannan Govindan; Davood Shishebori; Reza Mahmoudi. Product-pricing problem in green and non-green multi-channel supply chains under government intervention and in the presence of third-party logistics companies. Computers & Industrial Engineering 2021, 159, 107490 .

AMA Style

Ali Mahmoudi, Kannan Govindan, Davood Shishebori, Reza Mahmoudi. Product-pricing problem in green and non-green multi-channel supply chains under government intervention and in the presence of third-party logistics companies. Computers & Industrial Engineering. 2021; 159 ():107490.

Chicago/Turabian Style

Ali Mahmoudi; Kannan Govindan; Davood Shishebori; Reza Mahmoudi. 2021. "Product-pricing problem in green and non-green multi-channel supply chains under government intervention and in the presence of third-party logistics companies." Computers & Industrial Engineering 159, no. : 107490.

Journal article
Published: 08 June 2021 in Annals of Operations Research
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Incorporating sustainable decisions with the retailer’s operational management has attracted enormous significance due to government regulations and customer demand for environmental consciousness. However, incorporating sustainable operations may interfere with the operational performance of the firm and, hence, retail companies need to examine the influence of these operations on overall supply chain efficiency. The present study develops a performance measurement model based on a two-stage network data envelopment analysis (DEA) technique for measuring the joint impact of sustainable operations and operational activities on the business performance of a retail company. A case study of an Indian electronic retail chain is presented to reveal the potentiality and suitability of the proposed models. The novelty of the paper lies in establishing DEA models for an Indian retail chain company and for providing an analytical understanding of the conditions under which the strategic decisions at the operational level successfully support the integration of sustainable operations into the SC management. The results show that the additional sustainable constraints lead to improved operational efficiency of some firms of the retail chain and result in improved business efficiency, while for other firms the integration of sustainable objectives decrease business efficiency. The significance of the study lies in providing efficient target conditions for inefficient retail stores to improve their performance. The findings of the study provide meaningful insights to Indian retailers venturing into sustainable retailing operations for enhancing the operational and business efficiency of the supply chain.

ACS Style

Nomita Pachar; Jyoti Dhingra Darbari; Kannan Govindan; P. C. Jha. Sustainable performance measurement of Indian retail chain using two-stage network DEA. Annals of Operations Research 2021, 1 -39.

AMA Style

Nomita Pachar, Jyoti Dhingra Darbari, Kannan Govindan, P. C. Jha. Sustainable performance measurement of Indian retail chain using two-stage network DEA. Annals of Operations Research. 2021; ():1-39.

Chicago/Turabian Style

Nomita Pachar; Jyoti Dhingra Darbari; Kannan Govindan; P. C. Jha. 2021. "Sustainable performance measurement of Indian retail chain using two-stage network DEA." Annals of Operations Research , no. : 1-39.

Original research
Published: 03 June 2021 in Annals of Operations Research
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Developing countries scramble to contain and mitigate the spread of coronavirus disease 2019 (COVID-19), and world leaders demand equitable distribution of vaccines to trigger economic recovery. Although numerous strategies, including education, quarantine, and immunization, have been used to control COVID-19, the best method to curb this disease is vaccination. Due to the high demand for COVID 19 vaccine, developing countries must carefully identify and prioritize vulnerable populations and rationalize the vaccine allocation process. This study presents a mixed-integer linear programming model for equitable COVID-19 vaccine distribution in developing countries. Vaccines are grouped into cold, very cold, and ultra-cold categories where specific refrigeration is required for their storage and distribution. The possibility of storage for future periods, facing a shortage, budgetary considerations, manufacturer selection, order allocation, time-dependent capacities, and grouping of the heterogeneous population are among the practical assumptions in the proposed approach. Real-world data is used to demonstrate the efficiency and effectiveness of the mathematical programming approach proposed in this study.

ACS Style

Madjid Tavana; Kannan Govindan; Arash Khalili Nasr; Mohammad Saeed Heidary; Hassan Mina. A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. Annals of Operations Research 2021, 1 -34.

AMA Style

Madjid Tavana, Kannan Govindan, Arash Khalili Nasr, Mohammad Saeed Heidary, Hassan Mina. A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries. Annals of Operations Research. 2021; ():1-34.

Chicago/Turabian Style

Madjid Tavana; Kannan Govindan; Arash Khalili Nasr; Mohammad Saeed Heidary; Hassan Mina. 2021. "A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries." Annals of Operations Research , no. : 1-34.

Journal article
Published: 27 May 2021 in Journal of Cleaner Production
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The world's population has grown rapidly. Thus, new challenges have arisen in terms of people's quality of life, natural resources renewal, and urban environment sustainability. The smart city concept was developed to deal with these challenges by incorporating new technologies in order to find solutions that preserve cities' environment while promoting their residents' wellbeing. However, for cities to be truly “smart”, they should be evaluated, and, to that end, determinants that facilitate their creation need to be identified. This study thus sought to combine cognitive mapping and the system dynamics approach to find which factors foster smart city success, as well as the cause-and-effect relationships among these determinants. In two groupwork sessions, a panel of experts identified a wide range of smart city determinants and analyzed the dynamics of their relationships. The results were validated by the panel members and senior representatives of Cascais and Évora City Councils, Portugal, who confirmed that the analysis system developed provides a deeper understanding of this research context. The advantages and limitations of the proposed framework are also discussed.

ACS Style

Simão A.S. Nunes; Fernando A.F. Ferreira; Kannan Govindan; Leandro F. Pereira. “Cities go smart!”: A system dynamics-based approach to smart city conceptualization. Journal of Cleaner Production 2021, 313, 127683 .

AMA Style

Simão A.S. Nunes, Fernando A.F. Ferreira, Kannan Govindan, Leandro F. Pereira. “Cities go smart!”: A system dynamics-based approach to smart city conceptualization. Journal of Cleaner Production. 2021; 313 ():127683.

Chicago/Turabian Style

Simão A.S. Nunes; Fernando A.F. Ferreira; Kannan Govindan; Leandro F. Pereira. 2021. "“Cities go smart!”: A system dynamics-based approach to smart city conceptualization." Journal of Cleaner Production 313, no. : 127683.

Journal article
Published: 28 April 2021 in Journal of Environmental Management
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The rapid consumption of advanced e-products has intensified problems for the linear economy; constantly diminishing natural resources employed in production processes have created a need of recycle and reuse. Although the transition to a circular economy proposes to end the loop of e-products, it needs the application of processes such as urban mining to recover resources as secondary raw material. The present study intends to examine the issues and challenges of electronic waste urban mining (EWUM) in India that need to be assessed for the development of a sustainable economy. To accomplish this, the current study employs integrated Multi-Criteria-Decision making methods (MCDM). Step-Wise Weight Assessment Ratio Analysis (SWARA) is used to prioritize issues and their possible solutions with Weighted Assessment Sum Product Assessment (WASPAS) methods introduced to explore these challenges and provide solutions for managing EWUM. There is an immediate need to acknowledge the issues confronted by stakeholders in urban mining processes for successful transition to a circular economy. A better understanding of the issues will help policy makers and decision makers to implement best practices to enhance the urban mining process in India. This study has shown that socio-economic (SE) issues are the most critical issues in EWUM in India. The possible solutions that would have most impact are to enhance awareness campaigns for people to educate themselves regarding e-waste, train staff to handle safe disposal of e-waste and produce eco-friendly electronic products.

ACS Style

Manu Sharma; Sudhanshu Joshi; Kannan Govindan. Issues and solutions of electronic waste urban mining for circular economy transition: An Indian context. Journal of Environmental Management 2021, 290, 112373 .

AMA Style

Manu Sharma, Sudhanshu Joshi, Kannan Govindan. Issues and solutions of electronic waste urban mining for circular economy transition: An Indian context. Journal of Environmental Management. 2021; 290 ():112373.

Chicago/Turabian Style

Manu Sharma; Sudhanshu Joshi; Kannan Govindan. 2021. "Issues and solutions of electronic waste urban mining for circular economy transition: An Indian context." Journal of Environmental Management 290, no. : 112373.

Journal article
Published: 31 March 2021 in Transportation Research Part E: Logistics and Transportation Review
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With new global regulations on supply chains (SCs), sustainable regulation mechanisms have become subject to controversy. The intention is to create and expand green and sustainable supply chains (SSC) to meet environmental and economic standards and to boost one’s position in competitive markets. This study examines the resilient sustainable reverse logistics network (RLN) process for end-of-life vehicles (ELVs) in Iran. We pursue both actual and uncertain situations that possess big data characteristics (3 V’s) in information between facilities of the proposed reverse logistics (RL), and we consider recycling technology due to its societal impacts. Due to unpredictable environmental and social factors, the various proposed network facilities may not utilize their full capacity, so we also consider situations in which the network facility capacity is disrupted. Our primary objective is to minimize the total cost of the resilient sustainable RLN. For most parameters, finding the best solution through traditional methods is time-consuming and costly. Hence, to enhance decision-making power, the value of model parameters in each scenario is considered. A Cross-Entropy (CE) algorithm with basic scenario concepts is used in robust model optimization. The results demonstrate that changing the scenario situation significantly impacts optimal environmental and social costs. In particular, when the situation is “pessimistic,” environmental impact costs are at their highest levels. Hence, scenario-based modeling of the network is a good approach to implement under uncertainty conditions. On the other hand, results show that cost savings for organizations are achieved through optimal planning of the centers' capacity to save cost, increase services, and ensure effective government response to cost-effective and instrumental market competition.

ACS Style

Kannan Govindan; Hadi Gholizadeh. Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles. Transportation Research Part E: Logistics and Transportation Review 2021, 149, 102279 .

AMA Style

Kannan Govindan, Hadi Gholizadeh. Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles. Transportation Research Part E: Logistics and Transportation Review. 2021; 149 ():102279.

Chicago/Turabian Style

Kannan Govindan; Hadi Gholizadeh. 2021. "Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles." Transportation Research Part E: Logistics and Transportation Review 149, no. : 102279.

Journal article
Published: 30 March 2021 in European Journal of Operational Research
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Urban blight is often defined as abandoned or poorly maintained real estate properties, often with overgrowth, trash-filled yards and alleys, graffiti, and broken windows. It has a detrimental impact on neighborhood safety and reputation. Blight also creates low-value areas in urban centers, reduces property values and business investment, and increases unemployment. These effects make urban blight an issue of growing interest as the need to eradicate blighted properties has significantly increased worldwide. This study adopted a constructivist, socio-technical stance that combined cognitive mapping, moving averages, and the decision-making trial and evaluation laboratory method. This methodological approach facilitated the identification of prevention strategies that control urban blight occurrences and subsequent eradication subject to seasonal constraints. Based on real-world cases, data was collected directly from a panel of urban blight experts. The members analyzed different prevention initiatives in terms of five major dimensions—governance, community involvement, economic context, territorial planning, and operations—which were previously identified during the development of a collective causal map. Practical applications of the proposed decision-support system were analyzed and validated by two independent experts from the Direção Geral do Território (General Directorate of the Territory of Portugal). No prior research was found that has adopted the proposed methodology to address urban blight. Recommendations facilitating the development of prevention strategies to eradicate urban blight are also provided.

ACS Style

Fernando A.F. Ferreira; Ronald W. Spahr; Mark A. Sunderman; Kannan Govindan; Ieva Meidutė-Kavaliauskienė. Urban blight remediation strategies subject to seasonal constraints. European Journal of Operational Research 2021, 296, 277 -288.

AMA Style

Fernando A.F. Ferreira, Ronald W. Spahr, Mark A. Sunderman, Kannan Govindan, Ieva Meidutė-Kavaliauskienė. Urban blight remediation strategies subject to seasonal constraints. European Journal of Operational Research. 2021; 296 (1):277-288.

Chicago/Turabian Style

Fernando A.F. Ferreira; Ronald W. Spahr; Mark A. Sunderman; Kannan Govindan; Ieva Meidutė-Kavaliauskienė. 2021. "Urban blight remediation strategies subject to seasonal constraints." European Journal of Operational Research 296, no. 1: 277-288.

Articles
Published: 13 March 2021 in International Journal of Production Research
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Real-life challenges require proactive measures. Good transportation services and greener alternatives demand steadfast research in the area. Here, an attempt has been made to address such a problem. A particular case of VRP, with deliveries split into bags and triangular fuzzy travel times, has been modelled to minimise fuel emissions. The concepts of fuzzy rule-based implication for ranking and for comparing fuzzy numbers with numeric values, an expected value model, have been drawn upon. A discrete fuzzy-hybridised GA has been developed. Multiple experiments on data in existing works, parameter tuning, and comparative analysis have been performed, thereby corroborating the model's efficacy.

ACS Style

Pankaj Gupta; Kannan Govindan; Mukesh Kumar Mehlawat; Anisha Khaitan. Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags. International Journal of Production Research 2021, 1 -17.

AMA Style

Pankaj Gupta, Kannan Govindan, Mukesh Kumar Mehlawat, Anisha Khaitan. Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags. International Journal of Production Research. 2021; ():1-17.

Chicago/Turabian Style

Pankaj Gupta; Kannan Govindan; Mukesh Kumar Mehlawat; Anisha Khaitan. 2021. "Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags." International Journal of Production Research , no. : 1-17.

Full paper
Published: 02 March 2021 in Circular Economy and Sustainability
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A growing interest in the circular economy concept has pushed the discourse in various management-related disciplines beyond established boundaries, with calls to better address how such a model may be developed in a world of global value chains. Still, the conventional linear economy model continues to dominate business, society, and research. While the concept of better connecting physical output and input flows at multiple production or consumption levels is becoming more accepted, it remains unclear how to make this happen while ensuring that sustainability targets are met or exceeded. Multiple scientific communities contribute different perspectives to this discourse, with promising opportunities for research. Circular economy and sustainability from business and economics perspectives are multifaceted. The existing body of knowledge needs to be advanced to assist private individuals, business managers, investors, or policymakers in making informed decisions. In this article for the inaugural issue, we provide a snapshot of the discourses among those who have studied the circular economy and its related topics. We outline conceptual inroads and potential research questions to encourage further circular economy and sustainability research and discourse from business or economics perspectives as well as from the broader transdisciplinary angle. We propose three research pathways: (1) connecting output with input needs in a global circular economy; (2) beyond today’s business logic for a global circular economy; and (3) inclusion of the Global South in North-dominated circular economies. For each, we propose concepts, theories, or methodological approaches and offer various perspectives from the micro, macro, and meso levels.

ACS Style

Joerg S. Hofstetter; Valentina De Marchi; Joseph Sarkis; Kannan Govindan; Robert Klassen; Aldo R. Ometto; Katharina S. Spraul; Nancy Bocken; Weslynne S. Ashton; Sanjay Sharma; Melanie Jaeger-Erben; Charlotte Jensen; Paul Dewick; Patrick Schröder; Noemi Sinkovics; Sherwat E. Ibrahim; Luke Fiske; Anthony Goerzen; Diego Vazquez-Brust. From Sustainable Global Value Chains to Circular Economy—Different Silos, Different Perspectives, but Many Opportunities to Build Bridges. Circular Economy and Sustainability 2021, 1 -27.

AMA Style

Joerg S. Hofstetter, Valentina De Marchi, Joseph Sarkis, Kannan Govindan, Robert Klassen, Aldo R. Ometto, Katharina S. Spraul, Nancy Bocken, Weslynne S. Ashton, Sanjay Sharma, Melanie Jaeger-Erben, Charlotte Jensen, Paul Dewick, Patrick Schröder, Noemi Sinkovics, Sherwat E. Ibrahim, Luke Fiske, Anthony Goerzen, Diego Vazquez-Brust. From Sustainable Global Value Chains to Circular Economy—Different Silos, Different Perspectives, but Many Opportunities to Build Bridges. Circular Economy and Sustainability. 2021; ():1-27.

Chicago/Turabian Style

Joerg S. Hofstetter; Valentina De Marchi; Joseph Sarkis; Kannan Govindan; Robert Klassen; Aldo R. Ometto; Katharina S. Spraul; Nancy Bocken; Weslynne S. Ashton; Sanjay Sharma; Melanie Jaeger-Erben; Charlotte Jensen; Paul Dewick; Patrick Schröder; Noemi Sinkovics; Sherwat E. Ibrahim; Luke Fiske; Anthony Goerzen; Diego Vazquez-Brust. 2021. "From Sustainable Global Value Chains to Circular Economy—Different Silos, Different Perspectives, but Many Opportunities to Build Bridges." Circular Economy and Sustainability , no. : 1-27.

Journal article
Published: 27 February 2021 in Resources Policy
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Environmental legitimacy and green absorptive capacity immensely contribute to ensuring green innovation; however, their integration in driving green innovation in mining enterprises (MEs) remains unexplored. This study surveys 133 MEs in China's mining sector and uses multi-regression analysis to investigate the relationships between environmental legitimacy, organisational factors of senior management cognition and green strategic orientation, green absorptive capacity, and green innovation in MEs. We find that: (1) Environmental legitimacy, which includes formal and informal institutional pressure, positively impacts senior management cognition and green strategic orientation in mining enterprises. (2) Senior management cognition and green strategic orientation have a positive association with MEs' green innovation. They also have a positive mediating effect on the relationship between environmental legitimacy and green innovation. (3) Green absorptive capacity can positively moderate the relationship between senior management cognition and green innovation, and between green strategic orientation and green innovation. (4) The size of the enterprise, as a control variable, has a significant correlation with green innovation. Finally, our study proposes four leading policy suggestions for MEs and policymakers, including building a comprehensive green innovation evaluation framework involving multiple participants, reinforcing the executive's green commitments and proactive green strategic orientation, and establishing a company-wide green knowledge learning system and external green knowledge cooperation.

ACS Style

Min Zhou; Kannan Govindan; Xiongbiao Xie; Liang Yan. How to drive green innovation in China's mining enterprises? Under the perspective of environmental legitimacy and green absorptive capacity. Resources Policy 2021, 72, 102038 .

AMA Style

Min Zhou, Kannan Govindan, Xiongbiao Xie, Liang Yan. How to drive green innovation in China's mining enterprises? Under the perspective of environmental legitimacy and green absorptive capacity. Resources Policy. 2021; 72 ():102038.

Chicago/Turabian Style

Min Zhou; Kannan Govindan; Xiongbiao Xie; Liang Yan. 2021. "How to drive green innovation in China's mining enterprises? Under the perspective of environmental legitimacy and green absorptive capacity." Resources Policy 72, no. : 102038.

Research article
Published: 20 January 2021 in Business Strategy and the Environment
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With growing competition in the market and dire need for sustainability, it has become imperative for companies to build long‐term relationship with their supply chain partners through sustainable collaboration. Among these, the supplier–manufacturer relationship is crucial for improved organizational, business and sustainable performance. Sustainable collaboration with suppliers involves crucial decision‐making processes such as continuous supplier monitoring and supplier development. Hence, a critical challenge that a company faces is to identify the key performance indicators (KPIs) for assessing the performance of a supplier for sustainable collaboration. In this regard, this study focuses on identification of KPIs for an Indian home appliance company through exhaustive discussions involving multiple decision‐makers. Further, a grey‐based decision‐making trial and evaluation laboratory (DEMATEL) model is proposed in the study for analysing the importance levels among the fifteen KPIs based on multiple stakeholder perspectives. The results of the grey structural model indicate seven KPIs as influencing KPIs and eight KPIs as influenced KPIs. The KPI ‘Information disclosure’ has been identified as the most influential KPI for the evaluation of suppliers for sustainable collaboration. The implications drawn from the result analysis model can provide meaningful insights to managers for identifying strategies towards strengthening the supplier–manufacturer relationship and achieving organizational and market competence.

ACS Style

Kannan Govindan; Aditi; Jyoti Dhingra Darbari; Arshia Kaul; Pc Jha. Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey‐decision‐making trial and evaluation laboratory‐based approach. Business Strategy and the Environment 2021, 30, 1702 -1722.

AMA Style

Kannan Govindan, Aditi, Jyoti Dhingra Darbari, Arshia Kaul, Pc Jha. Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey‐decision‐making trial and evaluation laboratory‐based approach. Business Strategy and the Environment. 2021; 30 (4):1702-1722.

Chicago/Turabian Style

Kannan Govindan; Aditi; Jyoti Dhingra Darbari; Arshia Kaul; Pc Jha. 2021. "Structural model for analysis of key performance indicators for sustainable manufacturer–supplier collaboration: A grey‐decision‐making trial and evaluation laboratory‐based approach." Business Strategy and the Environment 30, no. 4: 1702-1722.

Journal article
Published: 19 January 2021 in Journal of Cleaner Production
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The process of identifying and analyzing proactive measures for the prevention of urban blight is complicated by its complexity and death of data. Blight affects people’s lives in many ways, including economically, socially, psychologically, and physically. The phenomenon comprises many factors, including making appropriate identification and eradication decisions that are challenging to analyze and structure. This study took a constructivist stance and sought to develop a new approach to urban blight to complement the existing literature. The methodology combined cognitive mapping techniques applied in decision conferences, and the decision making trial and evaluation laboratory technique based on the multiple-criteria decision analysis approach. This integrated approach facilitated the development of a multi-criteria model that identifies proactive anti-blight measures in a more complete, transparent way. This dual methodology enables incorporating objective and subjective elements, and field specialists’ knowledge and experiences, thereby reducing important decision criteria omissions. Additionally, this approach generates a transparent visualization of relationships among criteria. Identified blight determinants can be used to prevent blight, and improve the quality of life in the affected areas. These strategies were carefully analyzed by two independent experts from the Direção Geral do Território (General Directorate of the Territory of Portugal). The advantages and limitations of the proposed methodology are also deliberated.

ACS Style

Madalena.V..H.C. Barão; Fernando A.F. Ferreira; Ronald W. Spahr; Mark A. Sunderman; Kannan Govindan; Ieva Meidutė-Kavaliauskienė. Strengthening urban sustainability: Identification and analysis of proactive measures to combat blight. Journal of Cleaner Production 2021, 292, 126026 .

AMA Style

Madalena.V..H.C. Barão, Fernando A.F. Ferreira, Ronald W. Spahr, Mark A. Sunderman, Kannan Govindan, Ieva Meidutė-Kavaliauskienė. Strengthening urban sustainability: Identification and analysis of proactive measures to combat blight. Journal of Cleaner Production. 2021; 292 ():126026.

Chicago/Turabian Style

Madalena.V..H.C. Barão; Fernando A.F. Ferreira; Ronald W. Spahr; Mark A. Sunderman; Kannan Govindan; Ieva Meidutė-Kavaliauskienė. 2021. "Strengthening urban sustainability: Identification and analysis of proactive measures to combat blight." Journal of Cleaner Production 292, no. : 126026.

Journal article
Published: 13 January 2021 in Computers & Industrial Engineering
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This paper develops a robust stochastic optimization model for reverse logistics in closed-loop supply chains. By determining the optimal flow of products using a Chance Constrained Robust Stochastic Programming (CCRSP), it is highlighted how the number of plant openings is influenced by the changes in carbon credit price. To assess the model performance, a set of numerical experiments in different sizes are developed and conducted. The effectiveness of the results are then compared to a proposed Heuristic Hybrid Taguchi PSO (HTPSO) solution algorithm, which underlines the effectiveness of the model. A sensitivity analysis on the carbon emission rate is carried out which underlines the role of Carbon Tax Policy. Finally, a real-life case study within the automotive manufacturing industry is carried out by applying the developed robust stochastic model. From a practical standpoint, the model can potentially be employed to meet the carbon credits that are used for handling the different carbon prices and trade scenarios. Also, it provides insights on how to better manage uncertainties, as well as to reduce the overall emissions in supply chains.

ACS Style

Shahrooz Shahparvari; Hamed Soleimani; Kannan Govindan; Behrooz Bodaghi; Mahshid Taherian Fard; Hamid Jafari. Closing the loop: Redesigning sustainable reverse logistics network in uncertain supply chains. Computers & Industrial Engineering 2021, 157, 107093 .

AMA Style

Shahrooz Shahparvari, Hamed Soleimani, Kannan Govindan, Behrooz Bodaghi, Mahshid Taherian Fard, Hamid Jafari. Closing the loop: Redesigning sustainable reverse logistics network in uncertain supply chains. Computers & Industrial Engineering. 2021; 157 ():107093.

Chicago/Turabian Style

Shahrooz Shahparvari; Hamed Soleimani; Kannan Govindan; Behrooz Bodaghi; Mahshid Taherian Fard; Hamid Jafari. 2021. "Closing the loop: Redesigning sustainable reverse logistics network in uncertain supply chains." Computers & Industrial Engineering 157, no. : 107093.

Research article
Published: 28 December 2020 in Business Strategy and the Environment
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The circular economy (CE) is a more holistic approach that advocates towards extracting the value from the waste and reaching sustainability goals. The objective of the present study is to highlight the prospects, impediments, and prerequisites while transiting from the linear economy (LE) to CE of SMEs. The study gathers information on prospects, impediments, and prerequisites for the transition of LE to a CE from recent studies. A semi‐structured interview questionnaire was prepared, and a survey was conducted on representatives of six SMEs. Further, six caselets were developed to understand the prospects, impediments, and prerequisites based on the findings of the interview and previous information gained from existing literature. The major prospects favoring transition from LE to CE found in the study are significance of 3R (reduce and reuse and recycling) approach, CE leads to competitive advantage, recycling attracts consumers in few cases, CE helps in achieving sustainability goals and reuse of materials are significant in resource conservation. There are certain impediments found such as issues associated with awareness, recyclability issues, financial challenges, and weak management vision of SMEs towards CE implementation. Other resource‐based impediments were found related to trained employees, lack of experience. Whereas, consumer acceptability is also a major concern towards implementing CE. The findings of the study suggest major prerequisites towards CE implementations such as strong “management will,” innovation, technology up‐gradation, training to employees, motivation, and appropriate guidelines. Government pressure to implement CE cannot be an effective step towards the transition of LE to CE.

ACS Style

Nagendra Kumar Sharma; Kannan Govindan; Kuei Kuei Lai; Wen Kuo Chen; Vimal Kumar. The transition from linear economy to circular economy for sustainability among SMEs: A study on prospects, impediments, and prerequisites. Business Strategy and the Environment 2020, 30, 1803 -1822.

AMA Style

Nagendra Kumar Sharma, Kannan Govindan, Kuei Kuei Lai, Wen Kuo Chen, Vimal Kumar. The transition from linear economy to circular economy for sustainability among SMEs: A study on prospects, impediments, and prerequisites. Business Strategy and the Environment. 2020; 30 (4):1803-1822.

Chicago/Turabian Style

Nagendra Kumar Sharma; Kannan Govindan; Kuei Kuei Lai; Wen Kuo Chen; Vimal Kumar. 2020. "The transition from linear economy to circular economy for sustainability among SMEs: A study on prospects, impediments, and prerequisites." Business Strategy and the Environment 30, no. 4: 1803-1822.

Journal article
Published: 06 October 2020 in Expert Systems with Applications
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In the era of circular economies, governments and consumers are increasingly aware of environmental protection, which encourages enterprises to devote more attention to reverse logistics (RL). However, the limited resources and technical limitations of most manufacturing companies have motivated them to outsource their RL activities to professional third-party RL providers (3PRLPs). Optimal 3PRLP selection is instrumentally valuable in RL outsourcing practices because it has the potential to increase enterprises’ economic profitability and to improve their long-term development. Generally, 3PRLP selection is treated as a multiple-attribute decision-making (MADM) problem. To this end, this paper aims to build a multi-perspective MADM (MPMADM) framework to offer systematic decision support for enterprises to select the optimal 3PRLPs. Attribute assessments in the proposed framework take the form of generalized comparative linguistic expressions (GCLEs), which can be transformed into hesitant fuzzy linguistic term set (HFLTS) possibility distributions with semantic analysis in order to enhance information quality and reliability. Expert weights are then assigned in the use of an optimization model based on the correlation consensus measurement. Afterwards, the two-stage aggregation paradigm for computing with HFLTS possibility distributions is used to gather assessments at expert and attribute levels to compile overall assessments of each alternative 3PRLP. Compared with existing studies, our proposal considers environmental and social sustainability for attribute system establishment and introduces GCLEs for 3PRLP selection, which offer greater flexibility for experts to articulate their evaluations. In addition, the two-stage aggregation paradigm eliminates distortion and loss of information and provides decision makers with the capability to control the outcome’s precision. Moreover, the proposed expert weight determination approach is conducive to generating reliable weight vectors. Several illustrative examples, sensitivity analysis, and comparative analysis further demonstrate the flexibility and practicability of our proposal.

ACS Style

Zhen-Song Chen; Xuan Zhang; Kannan Govindan; Xian-Jia Wang; Kwai-Sang Chin. Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach. Expert Systems with Applications 2020, 166, 114051 .

AMA Style

Zhen-Song Chen, Xuan Zhang, Kannan Govindan, Xian-Jia Wang, Kwai-Sang Chin. Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach. Expert Systems with Applications. 2020; 166 ():114051.

Chicago/Turabian Style

Zhen-Song Chen; Xuan Zhang; Kannan Govindan; Xian-Jia Wang; Kwai-Sang Chin. 2020. "Third-party reverse logistics provider selection: A computational semantic analysis-based multi-perspective multi-attribute decision-making approach." Expert Systems with Applications 166, no. : 114051.

Erratum
Published: 06 September 2020 in Journal of Cleaner Production
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Kannan Govindan; Roohollah Khodaverdi; Ahmad Jafarian. Corrigendum to “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach” [J. Clean. Prod. 47 (2013) 345–354]. Journal of Cleaner Production 2020, 278, 123672 .

AMA Style

Kannan Govindan, Roohollah Khodaverdi, Ahmad Jafarian. Corrigendum to “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach” [J. Clean. Prod. 47 (2013) 345–354]. Journal of Cleaner Production. 2020; 278 ():123672.

Chicago/Turabian Style

Kannan Govindan; Roohollah Khodaverdi; Ahmad Jafarian. 2020. "Corrigendum to “A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach” [J. Clean. Prod. 47 (2013) 345–354]." Journal of Cleaner Production 278, no. : 123672.

Original article
Published: 07 August 2020 in Decision Sciences
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We address the dynamic design of supply chain networks in which the moments of demand distribution function are uncertain and facilities’ availability is stochastic because of possible disruptions. To incorporate the existing stochasticity in our dynamic problem, we develop a multi‐stage stochastic program to specify the optimal location, capacity, inventory, and allocation decisions. Further, a data‐driven rolling horizon approach is developed to use observations of the random parameters in the stochastic optimization problem. In contrast to traditional stochastic programming approaches that are valid only for a limited number of scenarios, the rolling horizon approach makes the determined decisions by the stochastic program implementable in practice and evaluates them. The stochastic program is presented as a quadratic conic optimization, and to generate an efficient scenario tree, a forward scenario tree construction technique is employed. An extensive numerical study is carried out to investigate the applicability of the presented model and rolling horizon procedure, the efficiency of risk‐measurement policies, and the performance of the scenario tree construction technique. Several key practical and managerial insights related to the dynamic supply chain network design under uncertainty are gained based on the computational results.

ACS Style

Mohammad Fattahi; Kannan Govindan. Data-Driven Rolling Horizon Approach for Dynamic Design of Supply Chain Distribution Networks under Disruption and Demand Uncertainty. Decision Sciences 2020, 1 .

AMA Style

Mohammad Fattahi, Kannan Govindan. Data-Driven Rolling Horizon Approach for Dynamic Design of Supply Chain Distribution Networks under Disruption and Demand Uncertainty. Decision Sciences. 2020; ():1.

Chicago/Turabian Style

Mohammad Fattahi; Kannan Govindan. 2020. "Data-Driven Rolling Horizon Approach for Dynamic Design of Supply Chain Distribution Networks under Disruption and Demand Uncertainty." Decision Sciences , no. : 1.