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​Dr Anil Kumar

Anil is Professor of Operations, Supply Chain, and Business Analytics at the Guildhall School of Business and Law.

Dr Anil Kumar headshot

Dr Anil Kumar

Prof. Anil Kumar is a Professor of Operations, Supply Chain, and Business Analytics at the Guildhall School of Business, London Metropolitan University, UK.

He has over fourteen years of experience in teaching and research. Before joining London Metropolitan Unviersity, he was a Post-Doctoral Research Fellow in Decision Sciences at the Centre for Supply Chain Improvement, University of Derby, UK. He holds a Ph.D. in Management Science from ABV-Indian Institute of Information Technology and Management, Gwalior, India, and a Bachelor's and Master's degree in Mathematics from Kurukshetra University, India.

He also completed an MBA and qualified for the National Eligibility Test (NET) in June 2011. Prof. Kumar's significant contributions to research earned him recognition in the ‘World Ranking Top 2%’ of researchers by Stanford University-Elsevier in 2022 and 2023. He is also a Section Editor for Heliyon-Information Science (Elsevier), a journal indexed in SCIE/SSCI and Scopus.

'Anil's teaching philosophy is based on a 'learning by doing' concept. His areas of teaching cover a range of topics, including:
  • Operations and Technology Management
  • Problem Solving and Business Insights
  • Management Science
  • Mathematics Modelling
  • Supply Chain Management and Supply Chain Analytics
  • Circular Economy and Sustainability Strategies
  • Sustainability and Industry 4.0/5.0
  • Business Analytics using R programming
  • Business Analytics – Decision Making using Data
  • Operations Management
  • Synthesising and Analysing Data
  • Operation Research
  • Business Statistics
  • Research Methodology
  • Business Research Methods
  • Quantitative Techniques
  • Machine Learning
  • Marketing and Consumer Analytics
 
Anil is an accomplished academic with a strong track record of high teaching evaluations and a commitment to excellence in education. He has developed and led courses that respond to industry demands and compliance requirements, with live student projects published in ABS and ABDC-ranked journals. His expertise spans artificial intelligence, machine learning, Python, and business applications, significantly enhancing his analytical abilities.
 
Anil has supervised more than 100 research projects, many of which have been published in prestigious ABS, ABDC, and SCI-indexed journals. Passionate about interdisciplinary research, he encourages students to engage in professional development, attend conferences, and build networks. His goal as a supervisor is to cultivate well-rounded academics, ensuring they thrive beyond their theses.
To be passionate about impactful research, Anil's research focuses on sustainability, sustainable operation and supply chains, sustainable development, circular/net zero economy, industry 4.0/5.0, and human capital in supply chain and operations. He also contributes to the teaching and supervision of students in their various research projects and scholarly activities.
 
Anil has contributed to more than 150 research articles in CABS, ABDC and SCI indexed journals. He's been awarded the best research papers at various international conferences including the International Conference on Industrial Engineering and Operations Management in 2020, the European International Conference on Industrial Engineering and Operations Management in 2019 and the National Conference at Indian Institute of Technology (IIT)-Roorkee in 2013.
 
He's also published eight books in the areas of sustainable procurement, circular economy and business analytics. On top of this, Anil's Research Gate score is significantly higher than other members' scores.
 
In his current position, he's responsible and accountable for contributing high quality and impactful research, building industry partnerships, as well as significantly contributing to help build the University's reputation of excellence in operations, supply chain management and business analytics. His main responsibilities include:
 
1. Providing excellent teaching
2. Performing world-leading impactful research in the areas of operations and supply chain management, which includes sustainability, sustainable supply chain management, sustainable manufacturing, industry 4.0, sustainable development, circular economy, sustainability and SMEs
3. Publishing research findings in top-ranked international journals eg 3* and 4* CABS and ABS listed journals, or in other formats such as reports and book chapters
4. To enhance national and international research network and collaborations

 

1. PI-awarded (£10,000) funded by IRCC-IIT Bombay under the scheme of ‘Seed Funding for Collaboration and Partnership Projects (SCPP)’ in 2023. [Project Code: RD/0523-IOE00I0-125].
2. Co-PI-awarded (£4,000) under Impact Support Scheme Fund-Research England in 2023. [Project code: H3879]
3. Co-PI-awarded (£2,000) under Research Rescaling Fund-Research England in 2023. [Cost centre: RES02H, Project code: H3879]
4. Co-PI-awarded (£1827.70) under Sustainability and Impact Support Schemes-Research England in 2023. [Cost centre: RES02H, Project code: H3879]
5. Co-PI-awarded (£3,000) by sponsored by AICTE Training And Learning (ATAL) Academy, India under PM Gati Shakti Yojana for conducting a faculty development programme (FDP) on “Reverse Logistics and Supply Chain Management in the Smart and Digital Circular Economy.
6. PI-awarded (£5,000) by QR Strategic Priorities Fund - Research England in 2021. [Project Code: FBLOIH 0102]
  1. Published article 'Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy' is the top-cited 2020 article in the International Journal of Production Research.
  2. Published article 'Measuring the impact of renewable energy, public health expenditure, logistics and environmental performance on sustainable economic growth' is the top-cited 2019-20 article in the Sustainable Development Journal.
  3. Awarded the International Excellent Researcher Award in education by Saksham Society Jaipur Rajasthan in India on 25 April 2021.
  4. Paper entitled 'Study of Key Enablers of Industry 4.0 Practices Implementation Using ISM-Fuzzy MICMAC Approach' selected best research paper in operation management track in the tenth Annual International Conference on Industrial Engineering and Operations Management in Dubai, United Arab Emirates on 10-12 March 2020.
  5. Paper entitled 'Lean Readiness Level of the Azerbaijan Construction Industry' selected best research paper in lean track in the tenth Annual International Conference on Industrial Engineering and Operations Management in Dubai, United Arab Emirates on 10-12 March 2020.
  6. Awarded the best research paper in the third European International Conference on Industrial Engineering and Operations Management in Pilsen, Czech Republic on 23-26 July 2019.
  7. Honored the Certificate of Outstanding Contribution in Reviewing, International Journal of Production Economics (January 2019), Journal of Cleaner Production (November 2018), Resources, Conservation & Recycling (June 2018) by Elsevier.
  8. Honored the outstanding reviewer, Resources, Conservation & Recycling in July 2018 by Elsevier.
  9. Awarded the best researcher in 2017 by BML Munjal University, India.
  10. The best research paper at the National Conference at Indian Institute of Technology (IIT)-Roorkee on 8-9 March 2013.
  11. National Eligibility Test (NET) in Management, June 2011.
  12. Positions (2002 - third, 2003 - first, 2004 - third) in the annual examination of University College, Kurukshetra University in India.
  13. Topper Inter University in Mathematics (Hons) in 2004.

Prof. Anil is serving many scientific journals as a section editor, advisory board member and handles special issues of various reputed international journals. He has significant experience in organising and delivering industry executive-based and faculty development programmes. Anil has also delivered many expert talks and taught in several development programmes.

  • Chaired and organised the two-day workshop 'Roadblocks of Circular Economy (CE) practices in the Indian manufacturing industry' for extending the reach of research with policy-maker engagements from industry and academia, 20-21 March 2021.
  • Chaired and organised an international conference on 'Innovations in Business Management' on 16-17 January 2020. In collaboration with ICFAI Business School and ICFAI University-Dehradun in India, with the University of Derby.
  • Organised the seminar 'How to get published papers in ABS/ABDC/High Ranking Journals' on 10 December 2019 at the Centre for Supply Chain Improvement (CSCI), University of Derby.
  • Analytics Society of India (ASI)
  • International Society on Multiple Criteria Decision Making (ISMCDM)
  • Society of Information Sciences (SIS)
  • INFORM Society of Multiple Criteria Decision Making
  • Couse leader for International Business Management MSc at London Met from 2021-22 academic year.
  • Module leader for Problem Solving and Business Insights at London Met from 2020-21 academic year.
  • Area chair: Decision Science and Information System at BML Munjal University in India from 2015 to 2018.
  • Course leader for Bachelor of Business Administration (BBA) and Bachelor of Commerce (BCom) at BML Munjal University in India from 2015 to 2018.
  • PhD research committee member at BML Munjal University from 2015 to 2018.
  • Developed a proposal of Behaviour Economics Analytics and Experiments Laboratory and Remarkable Contribution to Set the Lab and the Vision, Mission and Objectives of the Lab in 2014.
  • Developed Faculty Development Programme (FDPs) course contents.
  • Developed Electronic Faculty Development Programme (EFDPs) course contents.

1. Samadhiya, A., Agrawal, R., Kumar, A., & Luthra, S. (2024), Bridging realities into organizations through innovation and productivity: Exploring the intersection of artificial intelligence, internet of things, and big data analytics in the metaverse environment using a multi-method approach, Decision Support Systems, Vol.185, pp.114290 (3* in ABS, A* in ABDC List, Category Impact Factor: 6.7, SCI & Scopus Indexed).

2. Narula, S., Tamvada, J. P., Kumar, A., Puppala, H., & Gupta, N. (2024), Putting digital technologies at the forefront of Industry 5.0 for the implementation of a circular economy in manufacturing industries, IEEE Transactions on Engineering Management, Vol.71, pp.3363-3374 (3* in ABS, Category ‘A’ in ABDC List, Impact Factor: 5.8, SCI & Scopus Indexed).

3. Kazancoglu, Y., Lafci, C., Kumar, A., Luthra, S., & Garza-Reyes, J. A. (2024), The role of agrifood 4.0 in climate-smart farming for controlling climate change-related risks: A business perspective analysis, Business Strategy and the Environment, Vol.33 No.4 pp.2788-2802 (3* in ABS, Category ‘A’ in ABDC List, Impact Factor: 13.40, SCI & Scopus Indexed).

4. Taneja, S., Ali, L., Siraj, A., Ferasso, M., Luthra, S., & Kumar, A. (2024), Leveraging digital payment adoption experience to advance the development of digital-only (Neo) banks: Role of trust, risk, security, and green concern, IEEE Transactions on Engineering Management, Vol.71 pp. 10862-10873 (3* in ABS, Category ‘A’ in ABDC List, Impact Factor: 5.8, SCI & Scopus Indexed).

5. Mohapatra, S., Roy, S., Upadhyay, A., & Kumar, A. (2024), Circular value creation through environmental entrepreneurship initiatives: a case-based exploration, Business Strategy and the Environment, Vol.33 No.5 pp. 3811-3831 (3* in ABS, Category ‘A’ in ABDC List, Impact Factor: 13.40, SCI & Scopus Indexed).

6. Roshan, R., Balodi, K., Datta, S., Kumar, A., & Upadhyay A. (2024), Circular economy startups and digital entrepreneurial ecosystems, Business Strategy and the Environment, Vol.33 No.5 pp. 4843-4860 (3* in ABS, Category ‘A’ in ABDC List, Impact Factor: 13.40, SCI & Scopus Indexed). [Early View]

7. Naz, F., Samadhiya, A., Kumar, A., Garza-Reyes, J. A., Kazancoglu, Y., Kumar, V., & Upadhyay, A. (2024), The effect of green supply chain management practices on carbon neutral supply chain performance: the mediating role of logistics ecocentricity, Journal of Manufacturing Technology Management (2* in ABS, Category ‘B’ in ABDC List, Impact Factor: 8.144, SCI & Scopus Indexed) [Early View]

8. Yadav, S., Samadhiya, A., Kumar, A., Luthra, S., & Pandey, K.K. (2024), Nexus between Fintech, Green Finance and Natural Resources Management: Transition of BRICS Nation Industries from Resource Curse to Resource Blessed Sustainable Economies, Resources Policy, Vol.91, pp.104903 (2* in ABS, Category ‘B’ in ABDC List, Impact Factor: 10.2, SCI & Scopus Indexed).

9. Agrawal, R., Samadhiya, A., Banaitis, A., & Kumar, A. (2024), Entrepreneurial barriers in achieving sustainable business and cultivation of innovation: a resource-based view theory perspective, Management Decision (2* in ABS, Category ‘B’ in ABDC List, Impact Factor: 4.6, SSCI & Scopus Indexed).

10. Sharma, M., Kaushal, D., Joshi, S., Kumar, A., & Luthra, S. (2024). Electronic waste disposal behavioral intention of millennials: A moderating role of electronic word of mouth (eWOM) and perceived usage of online collection portal, Journal of Cleaner Production, Vol.447, pp.141121 (2* in ABS, Category ‘A’ in ABDC List, Impact Factor: 11.1, SCI & Scopus Indexed)

11. Samadhiya, A., Kumar, A., Garza-Reyes, J. A.,& Luthra, S. (2024), Unlock the Potential: Unveiling the Untapped Possibilities of Blockchain Technology in Revolutionizing Internet of Medical Things-based Environments through Systematic Review and Future Research Propositions, Information Sciences, Vol.661, pp.120140 (Impact Factor: 8.1, SCI & Scopus Indexed).

More details on Google Scholar

  1. Workshop on 'Artificial Intelligence & Machine Learning Using Python' organised by Finland Labs, a unit of Revert Technology Pvt. Ltd. In Association with the National Social Summit, IIT Roorkee, India on 28 May - 6 June 2020.
  2. Faculty development programme on 'Artificial Intelligence Machine Learning Using Covid-19 Virus Data Analysis' organised by Finland Labs, a unit of Revert Technology Pvt. Ltd. In Association with the National Social Summit, IIT Roorkee, India on 6 - 7 June 2020.
  3. Faculty development programme on 'Internet of Things' organised by Finland Labs, a unit of Revert Technology Pvt. Ltd. In Association with the National Social Summit, IIT Roorkee, India on 15 - 19 June 2020.
  4. Faculty development programme on 'Blockchain Technology' organised by Finland Labs, a unit of Revert Technology Pvt. Ltd. In Association with the National Social Summit, IIT Roorkee, India on 8 - 12 June 2020.
  5. Faculty development programme on 'Machine Learning with Business Applications' organised by the Indian Institute of Management, Bangalore on 20 - 25 May 2019.
  6. International workshop on 'Food Fraud Prevention using Blockchain Technology' in Brazil, 9 - 12 September 2019.
  7. National workshop on 'Computational Intelligence (NWCI-2016)' organised by the Jaypee Institute of Information Technology, 26 - 28 May 2016.
  8. Faculty development programme on 'IBM CE-Enablement Program-Learning Business Intelligence using IBM Cognos BI' organised by IBM Software Training under the Career Education programme in November 2015.
  9. One-week short term training program on 'Advanced Engineering Optimisation through Intelligent Techniques (AEOTIT)' organised by the S.V. National Institute of Technology (SVNIT), Surat, Gujarat, 22 - 26 September 2014. 
  10. International workshop on 'Machine Learning and Text Analysis' organised by South Asian University, New Delhi, 15 - 23 December 2013.
  11. Faculty development programme on 'Multivariate and Advance Data Analysis in Marketing' organised by the Indian Institute of Information Technology and Management, Gwalior, 27 September to 3 October 2013.
  12. Faculty development programme on 'Application of Econometrics for Management Research' organised by the Indian Institute of Information Technology and Management, Gwalior, 21 - 27 June 2013.
  13. Faculty development programme on 'Multivariate Data Analysis for Management Research' organised by the Indian Institute of Information Technology and Management, Gwalior, 14 - 20 June 2013.
  14. One week DST sponsored national training programme on 'Soft Computing Techniques for Optimisation' organised by the Indian Institute of Information Technology and Management, Gwalior, 4 - 9 March 2013.
  15. Faculty development programme on 'Statistics: An Enabling Tool for Understanding Research Methodology' organised by the Indian Institute of Information Technology and Management, Gwalior, 27 - 29 November 2012.
  16. Faculty development programme on 'Advanced Data Analysis for Management Research' organised by the Indian Institute of Information Technology and Management, Gwalior, 23 - 29 July 2012.
  17. Faculty development programme on 'Application of Econometrics for Management Research' organised by the Indian Institute of Information Technology and Management, Gwalior, 16 - 22 July 2012.
Professor Anil Kumar
M.Sc. (Math), MBA, PhD (Management Science), PDF (Decision Science), UGC-NET, SFHEA
Professor of Sustainable Operations, Supply Chain & Business Analytics
Email: A.Kumar@londonmet.ac.uk
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