Dr. Sunil Luthra is working as the Director, All India Council for Technical Education, New Delhi, India. Prior to that, he worked as the Director-Principal at Ch. Ranbir Singh State Institute of Engineering & Technology, Jhajjar, Haryana, India. He is also Visiting Professor at the ‘Centre for Supply Chain Improvement, University of Derby, Derby, United Kingdom. He has contributed over 240 research papers in inter-national referred and national journals and conferences at international and national level. He has an excellent research track record (over 1000 cumulative research impact factor points; received more than 12300 citations on Google Scholar; H-index–57 on Google Scholar). He has received many Awards and Honours for the research and teaching. He published many research articles in highly reputed journals like Transportation Research Part E Logistics and Transportation Review, Renewable and Sustainable Energy Reviews, Journal of Cleaner Production, Journal of Business Research
RESEARCH INTERESTS
Sustainability, Production and Operations Management, Supply Chain Management, Industrial Engineering, Industry 4.0/Industry 5.0, Green/Sustainable/Circular Supply Chains, Circular Economy, Cleaner Technologies, Sustainable Societies
Research agenda and Guest editorial: Metaverse adoption and implementation in logistics and supply chain management: challenges, issues and opportunities Abhijit Majumdar, Surya Prakash Singh, Atanu Chaudhuri, Sunil Luthra International Journal of Logistics Management, 2026 Metaverse is an immersive 3D Internet platform where programmable avatars of humans can interact with each other and software agents, mimicking the physical world and its experiences on the screen. Metaverse is one step ahead of “digital twins” as the former can influence the behaviour and processes of the physical entity (Dolgui and Ivanov, 2023). According to a report, 25% of people will spend at least one hour a day in the Metaverse for various activities including shopping, education and entertainment by 2026.Metaverse appears as a new operational model amalgamating extended, virtual, mixed and augmented reality for achieving superior customer and supplier experience (Li, 2020). A broad spectrum of technology platforms, including digital twin, neural computing, machine vision (virtual, mixed and augmented reality), networking, blockchain and natural language processing, form the backbone of Metaverse (Huynh-The et al., 2023). A blended experience of social platforms, digital products and smart stores will not only transform the customer's experience (Hoang et al., 2023; Tueanrat et al., 2021a, b) but also the operational processes and supply chain. Metaverse can unlock the way goods are perceived, designed, manufactured and transacted and how the interactions take place between suppliers, OEMs, retailers and customers (Dwivedi et al., 2022). Metaverse is expected to combine both physical and digital aspects of demand forecasting, procurement, manufacturing, maintenance, warehousing, supply chain and logistics in an unprecedented manner (Ivanov and Dolgui, 2020). A product may first be launched on the Metaverse platform followed by in a physical market or vice versa. The consumers’ preference for a product in Metaverse platform can be used to gauge the demand pattern, leading to data-driven decision-making in the supply chain (Gai et al., 2023). Firms can combine the real-time data provided by different physical and digital locations to have a more accurate Metaverse–physical collaborative forecast. Besides, supply chain resilience can be augmented by shifting the demand from physical space to the Metaverse to cope with uncertainties in demand. Gamification can also be used for better consumer experience and engagement (Thomas et al., 2023). Thus, immersive interaction at various stages of the supply chain can revolutionize the manufacturing, maintenance and logistics processes and facilitate informed decision-making (Li, 2020). Digital twin-aided warehousing and augmented reality-supported remote maintenance are going to add flexibility and resilience in manufacturing operations (Akbari et al., 2023; Maheshwari et al., 2023; Samadhiya et al., 2023).Metaverse is likely to have critical implications within the operations and supply chain domain, and these can appear in physical, digital and Metaverse supply chain formats. The Metaverse and its variants, such as the virtual world, 3D virtual environment, Second Life, extended reality, virtual reality, mixed reality and augmented reality, are going to present challenges and opportunities to different stakeholders of supply chains (Marabelli and Newell, 2022; Richter and Richter, 2023). However, in the domain of supply chain and logistics management, the clarity is still lacking about the potential and pitfalls of the Metaverse.The Metaverse encompasses a broad category of emerging technologies that create a new and unconventional business model. Like many other socio-technical phenomena, the Metaverse comes with an array of challenges for enterprises that require careful attention from academia, industry and policy-making bodies to achieve the intended goals (Zabel et al., 2023). As the Metaverse applications in operations and supply chain are still in their nascent stage, practical, social, ethical and technological issues need to be discussed and resolved (Richter and Richter, 2023; Yang, 2023). Along with this, it is also important to understand the opportunities that the Metaverse is going to offer in the supply chain and logistics domain.This special issue, containing nine focused articles as mentioned in Table 1, initiates a deliberation and debate on the prevailing status, challenges, issues and benefits of the Metaverse adoption across supply chain and logistics processes.Mishra and Singh (2026) combine a systematic review and expert insights on Metaverse applications in supply chain management (SCM), analysing 81 articles and 11 practitioner interviews. Using the context, intervention, mechanism and outcome (CIMO) framework, they identify key themes: enabling technologies (augmented reality (AR)/virtual reality (VR), blockchain and artificial intelligence (AI)), applications in SCM, organizational use cases for immersive supply chain practices and implementation considerations and maturity gaps. The study contributes a novel Metaverse capability framework and proposes future research directions with respect to theory, context and methodology.Zhang et al. (2026) present a comprehensive discussion of how the Metaverse can transform logistics and SCM. Utilizing a systematic literature review, the authors propose an enhanced seven-element framework (scope, task, people, organization, management, technology and modelling) to analyse Metaverse applications in LSCM. The relationship between these seven elements is highlighted in the discussion. The authors also introduce a feedback cycle within the modelling process (visualization, analysis, planning and control), which enables continuous improvement in Metaverse-enabled LSCM.Samadhiya et al. (2026) systematically review 161 journal articles to examine how prescriptive analytics (PA) can empower Metaverse for sustainable operations and supply chains. The authors utilize text mining, bibliometric analysis and structural topic modelling. Using structural topic modelling, four primary themes focusing on data analytics for industry performance optimization, business optimization modelling; operations optimization through Metaverse, analytics, decision optimization and operations revolution with advanced analytics and smart technologies were identified. The study also discusses the underexplored role of PA and Metaverse in fostering efficient, sustainable practices. The analysis highlights both the transformative potential and challenges of integrating PA in virtual environments to advance sustainability in logistics and operations management.Ramtiyal et al. (2026) investigate the factors influencing Metaverse adoption within the supply chains of small-scale enterprises in Asia, using a mixed-methods approach and the technology-organization-environment (TOE) framework. Through systematic literature review and common factor analysis, the authors identify enablers such as VR/AR, high-speed networks and AI, along with barriers including platform compatibility issues, data security and privacy concerns for small business supply chains. Interpretive structural modelling is used to identify the contextual relations among enablers and barriers. Findings show that effective Metaverse integration depends on technological investment, supportive organizational culture and proactive regulatory solutions.Ramkumar and Goswami (2026) empirically investigate Metaverse adoption in SCM using a technology-task fit (TTF) and perceived value framework, combining survey-based structural equation modelling (PLS-SEM) on responses from 164 Indian supply chain professionals. The results demonstrate that TTF and perceived value significantly drive Metaverse adoption intent. Key enablers include security, collaboration support, sustainability and readiness, while major barriers are costs, privacy issues and skill gaps. The findings emphasize strategic alignment of Metaverse features with SCM tasks and highlight that context determines the impact of features like interactivity and visualization. The study offers actionable insights for both researchers and practitioners.Bhardwaj et al. (2026) investigate the managerial challenges of Metaverse adoption in logistics and supply chain through a dynamic capability lens. Using a systematic literature review of 24 key papers and multiple case studies with top logistics executives from India and Europe, the authors identify 3 core managerial challenge themes: idiosyncratic, intra-organizational and contextual. These are integrated into a conceptual framework outlining three managerial action stages, i.e. enable, accelerate and mobilize, to address adoption barriers. The study highlights the critical role of sensing, seizing and reinforcing capabilities in managing technology integration, strategic alignment and resource allocation for Metaverse adoption in SCM.Kumar et al. (2026) examine the economic, social and environmental impacts of extended reality (XR) technologies, i.e. AR and VR, on SCM using a grounded theory approach. Based on 15 interviews with industry experts from India and Europe, the authors argue that XR enhances supply chain sustainability through cost reduction, risk management, employee well-being, collaboration, customer focus, resource efficiency and carbon footprint reduction. The study introduces a novel theoretical framework for XR-based sustainable SCM, offering practical insights for developers and managers.Rathore et al. (2026) analyse how Metaverse environments impact supply chain managers' decision-making using a public self-awareness lens. Employing four lab experiments with Newsvendor tasks and categorization exercises, the authors demonstrate that virtual proximity heightens the feeling of being observed, increasing public self-awareness and prompting decisions at a higher construal level. This shift reduces behavioural biases such as risk aversion and the pull-to-centre effect. The authors provide a novel behavioural explanation for the Metaverse's potential in SCM contexts, showing that immersive virtual environments can promote more rational and consensus-oriented decision-making.Saldanha et al. (2026) explore VR as an innovative socio-technical tool to enhance SCM education. Through a systematic literature review and a US-based case study involving 24 faculty and 565 students across 19 universities, the research identifies the potential affordances and barriers of VR in SCM pedagogy. Grounding the findings in the experiential learning cycle model, the authors propose six research propositions as a roadmap for implementing VR pedagogy for SCM. The results show that VR enriches learning, motivates students and offers immersive, low-risk, experiential learning opportunities, while its challenges include technology limitations and cost.Most of the studies begin with extensive literature reviews, using clear protocol-based article selection, followed by content and/or thematic analysis aiming to generate new or ratify existing theories. Several studies combine systematic reviews with case studies, semi-structured interviews and grounded theory-based thematic coding. This hybrid approach bridges the knowledge-practice gap and validates conceptual frameworks. Some studies also employ structured surveys, factor analysis and structural equation modelling to develop and validate structural models. Some of the authors have invoked various organizational theories and perspectives like “dynamic capability”, “technology-organization-environment (TOE)”, “technology-task fit (TTF)”, etc. for the theoretical underpinning of their observations.In a nutshell, the articles of this special issue cover the prevailing status, adoption challenges and impacts in the metaverse in the supply chain and logistics domain. Several papers identify both technical enablers (e.g. digital twins, advanced analytics and secure cloud infrastructure) and barriers (e.g. cost, interoperability, lack of digital literacy, regulatory ambiguity, cyberbullying, virtual identity theft and societal bias) for Metaverse adoption. Challenges are contextualized at organizational, group and individual (idiosyncratic) levels.One of the core themes found across studies is the integration of Metaverse and extended reality technologies into supply chains. These integrations enable immersive, real-time, data-rich environments, foster greater supply chain resilience, enhance transparency and allow a more collaborative model for managing supply and demand. Some studies focus on the managerial aspect of Metaverse adoption, analysing how digital immersion changes risk perception, group dynamics, public self-awareness and decision quality. The reduction of behavioural biases and enhancement of collectivist decision-making in virtual settings are also highlighted. Sustainability is another theme reflected thoroughly in the articles of this special issue. Several articles emphasize the impact of Metaverse adoption within the supply chain on the triple bottom line, i.e. economic, social and environmental sustainability. The link between Metaverse adoption and CO2 reduction, resource optimization and wider environmental-social-governance standards has been elucidated by the authors. The impact of extended reality on economic, social and environmental business practices and operational efficiency is also highlighted.This special issue underscores the emerging role of the Metaverse in reimagining supply chain and logistics management, offering insights into how AI, digital twins, blockchain and virtual platforms are paving the way for new business models and value creation across global supply chain and logistics networks. The articles demonstrate that the Metaverse has a decisive influence on marketing, procurement, manufacturing, logistics, maintenance and workforce training in transformative ways. However, integration of Metaverse technologies into supply chains and logistics introduces new challenges related to privacy, ethics, bias, data interoperability, cybersecurity, digital infrastructure, workforce readiness and sustainability that must be addressed to realize its full potential. Thus, a key future research agenda should revolve around creating virtual replicas of manufacturing and logistics networks for predictive and PA, workforce training, consumer interaction in an immersive environment, use of gamification to increase logistics productivity, etc. Besides, immersive collaboration between the supply chain partners should be explored to augment supply chain agility and resilience. By critically engaging with the Metaverse, the supply chain community can shape a future that is not only more networked but also more robust and resilient.
Gen-AI Is Not an Option for Environment Sustainability-Enabling of Gen-AI for Responsible and Green Supply Chains Using a Grey Network Map (GNM) Anbesh Jamwal, Anil Kumar, Ashutosh Samadhiya, Sunil Luthra Business Strategy and the Environment, 2026 Environmental sustainability in supply chains is no longer considered a compliance concern. It has become a strategic capability challenge, as firms seek to use Generative artificial intelligence (Gen‐AI) to improve decision quality, resource efficiency and responsible operations. However, despite growing interest in Gen‐AI, its adoption for green and responsible supply chains remains limited in developing countries where policy support, digital readiness and organizational preparedness are major issues. Therefore, based on dynamic capabilities theory, the present study examines how firms can build the capabilities required to adopt Gen‐AI for environmentally sustainable and responsible supply chain practices. First, this study identifies key adoption enablers through a structured literature review. Then, these enablers are validated using a survey based on a 5‐point Likert scale. In the main analytical model, a Grey network map (GNM) based on Grey‐Decision‐making trial and evaluation laboratory (Grey‐DEMATEL) approach is used to examine the causal relationship among the validated enablers and to identify driving and dependent factors under the conditions of uncertainty. The findings of this study reveal that government and policy support, as well as top management support, are the main causal enablers and indicate that strategic leadership can help in the adoption of Gen‐AI for green and responsible supply chains. Also, knowledge management, collaborative culture, and a global collaboration network are the main outcome enablers, which are influenced by causal enablers. The findings suggest a few policy actions, such as the design of sector‐focused AI adoption guidelines, targeted incentives for green digital infrastructure and national capability‐building programmes to support managerial and workforce readiness. The study contributes by offering a validated and structured framework that explains how Gen‐AI adoption can be strategically enabled to support green and responsible supply chains.
From Stakeholder Pressure to Strategic Advantage: A Framework of Achieving Environment Sustainability Through Pathway of Carbon Neutrality Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Sunil Luthra, Krishan Kumar Pandey Business Strategy and the Environment, 2026 Businesses are increasingly striving to reduce their carbon footprint, with carbon offsetting emerging as a viable pathway towards achieving carbon neutrality. Such efforts signify a demonstrated commitment to fostering environmental sustainability and contributing to a more sustainable future. Many countries have pledged to become carbon neutral in order to prevent climate change, but very little is understood about the micro‐level influences. Nevertheless, a critical question remains: To what extent can carbon neutrality be achieved without the active involvement of stakeholders? Current scholarly literature offers limited discussion on this issue, indicating a gap that warrants further exploration. Therefore, the study aims to investigate the key influence of stakeholders on businesses tending to achieve carbon neutrality via the use of green innovative practices in their pursuit of environmental sustainability. The semistructured interviews were conducted with the manufacturing industries' experts. Rigorously, a qualitative analysis was employed, and the five major drivers were identified based on 11 subthemes for carbon neutrality and green innovation, that is, ‘ customer enforcement ,’ ‘sustainable business value,’ ‘ potential benefits ,’ ‘ environmental legitimacy ’ and ‘ competitive pressure .’ Customers and competitors were the most influential external stakeholders. Shareholders and top management with intrinsic environmental values, being internal stakeholders, played pivotal roles in a proactive move to carbon neutrality and green innovation when there was limited regulatory pressure. The finding shows that the potential benefits of transitioning to carbon neutrality not only minimize waste and pollution but also lead to financial gains and a better image if implemented effectively, and the early movers/investors also believe in the long‐term economic benefits. Based on the research findings, a proposition‐based support framework was proposed by stakeholder and institutional theory to guide firms' managers in transitioning towards carbon neutrality goals or climate neutrality policies aligned with Sustainable Development Goal 13 (SDG 13).
Natural Resources Management for Achieving SDGs: Do Digital Governance Policies Mitigate the Resource Curse for Sustainable Business? Sanjeev Yadav, Ashutosh Samadhiya, Anil Kumar, Krishan Kumar Pandey, Sunil Luthra, Amiya Kumar Mohapatra Sustainable Development, 2026 The digital governance (DG) policies can help to mitigate the resource curse and promote sustainable growth of business by improving transparency, accountability for SDGs, and efficiency in natural resource management (NRM). However, in this regard the scholarly literature is lacking on how to mitigate the resource curse to support the NRM and environmentally sustainable business through DG policies. This study uses rigorous qualitative research to locate and sort through studies pertinent to ‘natural resources management’ and ‘environmentally sustainable business growth’ and then critically evaluate and combine the results into a unified claim. This study argues that similar to how evolution causes changes in societies and cultures, it introduces a four‐stage ‘digital government evolution model’, which includes the stages of ‘digitization, transformation, engagement and contextualization’. The findings indicate that implementing mitigating DG policies substantially alleviates the deterioration linked with ‘ resource curse ’ by enhancing trade diversification and effective, environmentally sustainable economic growth. The outcomes offer theoretical support for the sustainable advancement of DG and the alleviation of the ‘ resource curse ’, while also establishing a practical foundation for enhancing the development of DG through recommended strategic mitigating policies for NRM for resource curse for sustainable business for achieving SDGs.
Impacts of Climate Change in Africa Samuel Chukwujindu Nwokolo, Rubee Singh, Shahbaz Khan, Anil Kumar, Sunil Luthra Csr Sustainability Ethics and Governance, 2023
Introduction: Africa’s Net Zero Transition Samuel Chukwujindu Nwokolo, Rubee Singh, Shahbaz Khan, Anil Kumar, Sunil Luthra Csr Sustainability Ethics and Governance, 2023
Study of key enablers of industry 4.0 practices implementation using ISM-Fuzzy MICMAC approach Proceedings of the International Conference on Industrial Engineering and Operations Management, 2020
Decision modeling of risks in pharmaceutical supply chains Md. Abdul Moktadir, Syed Mithun Ali, Sachin Kumar Mangla, Tasnim Ahmed Sharmy, Sunil Luthra, Nishikant Mishra, Jose Arturo Garza-Reyes Industrial Management and Data Systems, 2018
Developing a framework using interpretive structural modeling for the challenges of digital financial services in India Proceedings of the 22nd Pacific Asia Conference on Information Systems Opportunities and Challenges for the Digitized Society are We Ready Pacis 2018, 2018
Generative AI-driven sustainability in supply chains: A micro foundation of dynamic capability towards a socially responsible supply chain to achieve greater societal change S Yadav, A Samadhiya, A Kumar, KK Pandey, S Luthra Technological Forecasting and Social Change 229, 124726 , 2026 2026
From barriers to better work: Strategic insights on barriers to job quality for web-based gig workers A Gupta, S Singh, R Awasthy, S Luthra Journal of Cleaner Production 564, 148535 , 2026 2026
Generative AI as a catalyst for human-centric supply chains: a fuzzy-set qualitative comparative analysis (fsQCA) of key adoption factors A Samadhiya, A Kumar, A Qazi, S Luthra, A Daghfous Journal of Enterprise Information Management, 1-32 , 2026 2026
The impact of AI-powered robo-advisors on investor decision-making: the moderating role of financial knowledge A Bihari, M Dash, A Kumar, K Muduli, S Luthra, A Samadhiya VINE Journal of Information and Knowledge Management Systems, 1-30 , 2026 2026
Next-gen quality learning: How can AI technologies shape education 4.0 and 5.0 towards the SDGs from multiple stakeholders' perspective? A Samadhiya, A Kumar, E Mulat-Weldemeskel, S Luthra, JA Garza-Reyes, ... The TQM Journal 38 (4), 806-834 , 2026 2026 Citations: 8
Natural resources management for achieving SDGs: do digital governance policies mitigate the resource curse for sustainable business? S Yadav, A Samadhiya, A Kumar, KK Pandey, S Luthra, AK Mohapatra Sustainable Development , 2026 2026 Citations: 1
Enhancing digital resiliency of supply chain under the umbrella of industry 4.0 technologies: a hybrid analytical analysis of enablers A Jamwal, A Patidar, A Kumar, A Samadhiya, S Luthra International Journal of System Assurance Engineering and Management, 1-21 , 2026 2026
Research agenda and Guest editorial: Metaverse adoption and implementation in logistics and supply chain management: challenges, issues and opportunities A Majumdar, SP Singh, A Chaudhuri, S Luthra The International Journal of Logistics Management 37 (1), 1-7 , 2026 2026 Citations: 1
From stakeholder pressure to strategic advantage: a framework of achieving environment sustainability through pathway of carbon neutrality S Yadav, A Samadhiya, A Kumar, S Luthra, KK Pandey Business Strategy and the Environment , 2026 2026
Towards net zero: How human capital development-enabled industry 5.0 mitigates circular supply chain leakage under the environmental, social, and governance framework boundaries A Samadhiya, A Kumar, S Luthra, E Mulat-weldemeskel Journal of Environmental Management 397, 128311 , 2026 2026
Renewable energy technology adoption in building a sustainable circular supply chain and managing renewable energy-related risk R Mishra, RD Raut, M Kumar, BKR Naik, S Luthra Annals of Operations Research 355 (1), 667-692 , 2025 2025 Citations: 20
The greenwash era is over, now performance matters: a Z-Number analysis of critical success factors and performance outcomes to achieve resource efficient digital circular … N Virmani, V Agarwal, A Kumar, S Luthra Annals of Operations Research 355 (1), 867-899 , 2025 2025 Citations: 3
Sustainable Development Investment Decision: Do Environmental, Social and Governance (ESG) and Behavioral Biases Factors Matter? A Bihari, M Dash, K Muduli, A Kumar, S Luthra, A Upadhyay Sustainable Development 33, 1161-1181 , 2025 2025 Citations: 6
Role of emerging technologies for empowering resilience and transparency in supply chains Y Kazancoglu, SK Mangla, S Luthra, MR Agarwal Annals of Operations Research 353 (3), 977-1018 , 2025 2025 Citations: 3
Implementing AI in agri-food supply chain security from the multi-stakeholder perspective: an exploratory review and future directions R Kumar, A Samadhiya, A Kumar, S Luthra, A El Jaouhari International Journal of Industrial Engineering and Operations Management 7 … , 2025 2025 Citations: 4
Interval-valued intuitionistic fuzzy digraph-matrix approach with PERMAN algorithm for measuring COVID-19 impact on perishable food supply chain: H. Sharma et al. H Sharma, S Shanker, A Barve, K Muduli, A Kumar, S Luthra Environment, Development and Sustainability 27 (9), 22145-22184 , 2025 2025 Citations: 25
Integrating generative artificial intelligence into green logistics: A systematic review and policy-oriented research agenda A Samadhiya, A Kumar, S Luthra Journal of Cleaner Production 519, 146018 , 2025 2025 Citations: 9
Building a sustainable future: The role of green innovation and green premium in transforming Indian SMEs R Sharma, A Gunasekaran, M Sharma, S Luthra, S Joshi Environment, Development and Sustainability, 1-26 , 2025 2025 Citations: 15
Data analytics for quality management in Industry 4.0 from a MSME perspective G Sariyer, SK Mangla, Y Kazancoglu, C Ocal Tasar, S Luthra Annals of Operations Research 350 (2), 365-393 , 2025 2025 Citations: 80
Navigating the landscape through digital human resource management: An initiative to achieve sustainable practices N Virmani, S Sharma, P Kumar, S Luthra, V Jain, S Jagtap Sustainable Futures 9, 100621 , 2025 2025 Citations: 26
MOST CITED SCHOLAR PUBLICATIONS
Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies S Luthra, SK Mangla Process safety and environmental protection 117, 168-179 , 2018 2018 Citations: 1323
An integrated framework for sustainable supplier selection and evaluation in supply chains S Luthra, K Govindan, D Kannan, SK Mangla, CP Garg Journal of cleaner production 140, 1686-1698 , 2017 2017 Citations: 1152
Barriers to implement green supply chain management in automobile industry using interpretive structural modeling technique: An Indian perspective S Luthra, V Kumar, S Kumar, A Haleem Journal of Industrial Engineering and Management (JIEM) 4 (2), 231-257 , 2011 2011 Citations: 827
A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case G Yadav, S Luthra, SK Jakhar, SK Mangla, DP Rai Journal of cleaner production 254, 120112 , 2020 2020 Citations: 806
Barriers to renewable/sustainable energy technologies adoption: Indian perspective S Luthra, S Kumar, D Garg, A Haleem Renewable and sustainable energy reviews 41, 762-776 , 2015 2015 Citations: 789
Barriers to effective circular supply chain management in a developing country context SK Mangla, S Luthra, N Mishra, A Singh, NP Rana, M Dora, Y Dwivedi Production planning & control 29 (6), 551-569 , 2018 2018 Citations: 763
Social and environmental sustainability model on consumers’ altruism, green purchase intention, green brand loyalty and evangelism TK Panda, A Kumar, S Jakhar, S Luthra, JA Garza-Reyes, I Kazancoglu, ... Journal of Cleaner production 243, 118575 , 2020 2020 Citations: 652
The impacts of critical success factors for implementing green supply chain management towards sustainability: an empirical investigation of Indian automobile industry S Luthra, D Garg, A Haleem Journal of cleaner production 121, 142-158 , 2016 2016 Citations: 589
Adoption of green finance and green innovation for achieving circularity: An exploratory review and future directions R Agrawal, S Agrawal, A Samadhiya, A Kumar, S Luthra, V Jain Geoscience frontiers 15 (4), 101669 , 2024 2024 Citations: 514
Procurement 4.0 and its implications on business process performance in a circular economy S Bag, LC Wood, SK Mangla, S Luthra Resources, conservation and recycling 152, 104502 , 2020 2020 Citations: 501
Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy S Luthra, A Kumar, EK Zavadskas, SK Mangla, JA Garza-Reyes International Journal of Production Research 58 (5), 1505-1521 , 2020 2020 Citations: 485
COVID-19 impact on sustainable production and operations management A Kumar, S Luthra, SK Mangla, Y Kazançoğlu Sustainable Operations and Computers 1, 1-7 , 2020 2020 Citations: 464
A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers G Yadav, A Kumar, S Luthra, JA Garza-Reyes, V Kumar, L Batista Computers in industry 122, 103280 , 2020 2020 Citations: 460
Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India S Sindhu, V Nehra, S Luthra Renewable and Sustainable Energy Reviews 73, 496-511 , 2017 2017 Citations: 440
Barriers to industry 4.0 adoption and its performance implications: An empirical investigation of emerging economy C Chauhan, A Singh, S Luthra Journal of cleaner production 285, 124809 , 2021 2021 Citations: 435
Enablers to implement sustainable initiatives in agri-food supply chains SK Mangla, S Luthra, N Rich, D Kumar, NP Rana, YK Dwivedi International Journal of Production Economics 203, 379-393 , 2018 2018 Citations: 433
Developing a framework for enhancing survivability of sustainable supply chains during and post-COVID-19 pandemic M Sharma, S Luthra, S Joshi, A Kumar International Journal of Logistics Research and Applications 25 (4-5), 433-453 , 2022 2022 Citations: 414
An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective S Luthra, D Garg, A Haleem Resources Policy 46, 37-50 , 2015 2015 Citations: 396
Barriers to the development of smart cities in Indian context NP Rana, S Luthra, SK Mangla, R Islam, S Roderick, YK Dwivedi Information Systems Frontiers 21 (3), 503-525 , 2019 2019 Citations: 383
Can industry 5.0 revolutionize the wave of resilience and social value creation? A multi-criteria framework to analyze enablers R Sindhwani, S Afridi, A Kumar, A Banaitis, S Luthra, PL Singh Technology in Society 68, 101887 , 2022 2022 Citations: 376
