Rajesh R
Operations Management & Decision Sciences
Ph.D IIST (ISRO), PDF IIT Madras
+91 431 2505084
rajesh@iimtrichy.ac.in
Rajesh is presently working as an Assistant Professor in the area of Operations Management & Decision Sciences at IIM Tiruchirappalli. Before joining this, he worked as an Assistant Professor at ABV-IIITM Gwalior. He completed a Post-Doctoral Fellowship (PDF) in Operations Management from the Indian Institute of Technology Madras (IIT-M) and has completed a Ph.D. from the Indian Institute of Space Science and Technology (IIST (ISRO)), Trivandrum. He is presently working in the areas of supply chain management, risk management, resilience, sustainability, decision-making, uncertainty modeling, and grey theory. As of now, he has an h-index of 27 (Google Scholar) and over 3600+ citations (Google Scholar).
Accomplishments
- Senior Associate Editor, Marketing Intelligence & Planning, Emerald (ABDC A; Impact Factor 3.6; CiteScore 8.0)
- Proposed the new causal/ influence modelling techniques, the Grey Influence Analysis (GINA) and the Grey Causal Modelling (GCM)
- Recognized as among the top 5 researchers in the world in the area of supply chain resilience (Sources: Web of Science; Scopus)
- Listed consecutively in the world's top 2% of scientists compiled by Stanford-Elsevier (single recent years) in 2021, 2022, 2023, and 2024, considering the subject fields; Operations Research and Artificial Intelligence.
- Listed in the world's top 2% of scientists by the Stanford-Elsevier list (career-long achievement) in 2024.
Profiles/ Publications
Journal Publications
1.
Rajesh, R. (2024). Grey models for data
analysis and decision-making in uncertainty during pandemics. International Journal of Disaster Risk
Reduction, 113, 104881. (ABDC A)
2.
Rajesh, R. (2024). A Grey Combined Prediction
Model for Medical Treatment Risk Analysis during Pandemics. Information System Frontiers, DOI: 10.1007/s10796-024-10551-5. (ABDC A)
3.
Singh,
G., Rajesh, R., Misra, S. C., &
Singh, S. (2024). Analyzing the role of digital twins in developing a resilient
sustainable manufacturing supply chain: A grey influence analysis (GINA)
approach. Technological Forecasting
and Social Change, 209, 123763. (ABDC A)
4.
Rajesh, R. (2024). Managerial risk data
analytics applications using grey influence analysis (GINA). Data & Knowledge Engineering, 151,
102312. (ABDC A)
5.
Rajesh, R. (2024). Analysing psycho-social
conditions of people during the COVID-19 pandemic: A case of Kerala. International Journal of Disaster Risk
Reduction, 103, 104327. (ABDC A)
6.
Rajesh, R. (2024). Modelling the traits of
consumer resilience: implications to emerging markets. Marketing Intelligence & Planning, 42(2),
234-261. (ABDC A)
7.
Aashi,
S., & Rajesh, R. (2023).
Integrating social sustainability into supplier evaluation using data
envelopment analysis. Annals of
Operations Research, https://doi.org/10.1007/s10479-023-05767-8. (ABDC A)
8.
Rajesh, R. (2023). Industry 5.0: analyzing
the challenges in implementation using grey influence analysis. Journal of Enterprise Information
Management, 36(5), 1349-1371. (ABDC A)
9.
Rajesh, R. (2023). Grey Markov models for
predicting the social sustainability performances of firms. Social Indicators Research, 168(1),
297-351. (ABDC A)
10.
Singh,
G., Rajesh, R., Daultani, Y., &
Misra, S. C. (2023). Resilience and sustainability enhancements in food supply
chains using Digital Twin technology: A grey causal modelling (GCM)
approach. Computers &
Industrial Engineering, 179, 109172. (ABDC A)
11.
Shishodia,
A., Sharma, R., Rajesh, R. and
Munim, Z.H. (2023), Supply chain resilience: A review, conceptual framework and
future research, The
International Journal of Logistics Management, 34(4),
879-908. (ABDC A)
12.
Rajesh, R. (2021). Optimal trade-offs in
decision-making for sustainability and resilience in manufacturing supply
chains. Journal of Cleaner
Production, 313, 127596. (ABDC A)
13.
Rajesh, R., Agariya, A. K., & Rajendran,
C. (2021). Predicting resilience in retailing using grey theory and moving
probability based Markov models. Journal
of Retailing and Consumer Services, 62, 102599. (ABDC A)
14.
Rajesh, R. (2022). Sustainability performance
predictions in supply chains: Grey and rough set theoretical approaches. Annals of Operations Research, 310(1),
171-200. (ABDC A)
15.
Rajesh, R. (2022). A novel advanced grey
incidence analysis for investigating the level of resilience in supply
chains. Annals of Operations
Research, 308, 441–490. (ABDC
A)
16.
Rajesh, R. (2020). Exploring the
sustainability performances of firms using environmental, social, and
governance scores. Journal of
Cleaner Production, 247, 119600. (ABDC A)
17.
Rajesh, R., & Rajendran, C. (2020).
Relating environmental, social, and governance scores and sustainability
performances of firms: An empirical analysis. Business Strategy and the Environment, 29(3),
1247-1267. (ABDC A)
18.
Rajesh, R. (2019). Social and environmental
risk management in resilient supply chains: A periodical study by the Grey-Verhulst
model. International Journal of
Production Research, 57(11), 3748-3765. (ABDC A)
19.
Moktadir,
M. A., Ali, S. M., Rajesh, R., &
Paul, S. K. (2018). Modeling the interrelationships among barriers to
sustainable supply chain management in leather industry. Journal of Cleaner Production, 181,
631-651. (ABDC A)
20.
Rajesh, R. (2017). Technological capabilities
and supply chain resilience of firms: A relational analysis using Total
Interpretive Structural Modeling (TISM). Technological Forecasting and Social Change, 118,
161-169. (ABDC A)
21.
Rajesh, R., & Ravi, V. (2015). Modeling
enablers of supply chain risk mitigation in electronic supply chains: A
Grey–DEMATEL approach. Computers
& Industrial Engineering, 87, 126-139. (ABDC A)
22.
Rajesh, R., Ravi, V., & Venkata Rao, R.
(2015). Selection of risk mitigation strategy in electronic supply chains using
grey theory and digraph-matrix approaches. International Journal of Production Research, 53(1),
238-257. (ABDC A)
23.
Rajesh, R., & Ravi, V. (2015). Supplier
selection in resilient supply chains: a grey relational analysis
approach. Journal of Cleaner
Production, 86, 343-359. (ABDC A)
24.
Aman,
M., Rajesh, R., & Vyas, V.
(2024). Supply chain disruptions in COVID-19 and market performances of firms:
a study in the Indian automobile sector. Measuring Business Excellence, https://doi.org/10.1108/MBE-07-2023-0093. (ABDC B)
25.
Yash,
D., & Rajesh, R. (2024). Risk
analysis of electrical power grids in India using best-worst method and grey
causal modelling. Benchmarking:
An International Journal, https://doi.org/10.1108/BIJ-03-2023-0149. (ABDC B)
26.
Rajesh, R. (2023). Performance predictions
for sustainability governance of firms: implications to select Indian
firms. Benchmarking: An
International Journal, 31(5), 1492-1514. (ABDC B)
27.
Jessin,
T. A., Rajeev, A., & Rajesh, R.
(2023). Supplier selection framework to evade pseudo-resilience and to achieve
sustainability in supply chains. International
Journal of Emerging Markets, 18(6), 1425-1452. (ABDC B)
28.
Singh,
G., Daultani, Y., Rajesh, R., &
Sahu, R. (2022). Modeling the growth barriers of fresh produce supply chain in
the Indian context. Benchmarking:
An International Journal, 30(2), 653-677. (ABDC B)
29.
Rajesh, R., Rajeev, A., & Rajendran, C.
(2022). Corporate social performances of firms in select developed economies: A
comparative study. Socio-Economic
Planning Sciences, 81, 101194. (ABS 2)
30.
Rajesh, R. (2021). Flexible business
strategies to enhance resilience in manufacturing supply chains: An empirical
study. Journal of Manufacturing
Systems, 60, 903-919. (ABDC B)
31.
Rajesh, R. (2018). Pseudo resilient supply
chains: concept, traits, and practices. Journal of Risk Research, 21(10), 1264-1286.
(ABS 2)
32.
Sabu,
M., Shaijumon, C. S., & Rajesh, R.
(2018). Factors influencing the adoption of ICT tools in Kerala marine
fisheries sector: An analytic hierarchy process approach. Technology Analysis & Strategic
Management, 30(7), 866-880. (ABDC B)
33.
Rajesh, R. (2016). Forecasting supply chain
resilience performance using grey prediction. Electronic Commerce Research and Applications, 20,
42-58. (ABS 2)
34.
Rajesh, R. (2023). Predicting environmental
sustainability performances of firms using trigonometric grey prediction
model. Environmental Development, 45,
100830. (SCI, IF: 4.7)
35.
Rajesh, R. (2023). An introduction to grey
causal modelling (GCM): applications to manufacturing, supply chains,
resilience, and sustainability. Artificial
Intelligence Review, 56(7), 6267-6293. (SCI, IF: 10.7)
36.
Jeevaraj,
S., Rajesh, R., & Lakshmana
Gomathi Nayagam, V. (2023). A complete ranking of trapezoidal-valued
intuitionistic fuzzy number: an application in evaluating social
sustainability. Neural Computing
and Applications, 35(8), 5939-5962. (SCI, IF: 4.5)
37.
Rajesh, R., & Aljabhan, B. (2022). A
novel grey stratified decision-making (GSDM) model for social
sustainability-based supplier selection. IEEE Transactions on Computational Social Systems, 11(1),
531-545. (SCI, IF: 4.6)
38.
Chandrakant,
R., & Rajesh, R. (2023). Social
sustainability, corporate governance, and sustainability performances: an
empirical study of the effects. Journal
of Ambient Intelligence and Humanized Computing, 14(7),
9131-9143. (SCI, IF: 7.1)
39.
Rajesh, R. (2023). An introduction to grey
influence analysis (GINA): Applications to causal modelling in marketing and
supply chain research. Expert
Systems with Applications, 212, 118816. (SCI, IF: 7.5)
40.
Hemant,
J., Rajesh, R., & Daultani, Y.
(2022). Causal modelling of the enablers of CPFR for building resilience in
manufacturing supply chains. RAIRO-Operations
Research, 56(4), 2139-2158. (SCI, IF: 1.8)
41.
Sachin,
N., & Rajesh, R. (2022). An
empirical study of supply chain sustainability with financial performances of
Indian firms. Environment,
Development and Sustainability, 24(5), 6577-6601. (SCI, IF:
4.7)
42.
Rajesh, R. (2020). Sustainable supply chains
in the Indian context: An integrative decision-making model. Technology in Society, 61,
101230. (SCI, IF: 10.1)
43.
Rajesh, R. (2020). A grey-layered ANP based
decision support model for analyzing strategies of resilience in electronic
supply chains. Engineering
Applications of Artificial Intelligence, 87, 103338. (SCI,
IF: 7.5)
44.
Rajesh, R. (2020). Network design for
resilience in supply chains using novel crazy elitist TLBO. Neural Computing and Applications, 32(11),
7421-7437. (SCI, IF: 4.5)
45.
Rajesh, R., & Rajendran, C. (2019).
Grey-and rough-set-based seasonal disaster predictions: an analysis of flood
data in India. Natural Hazards, 97,
395-435. (SCI, IF: 3.3)
46.
Rajesh, R. (2019). A fuzzy approach to
analyzing the level of resilience in manufacturing supply chains. Sustainable Production and Consumption, 18,
224-236. (SCI, IF: 10.9)
47.
Rajesh, R. (2020). Group decision-making and
grey programming approaches to optimal product mix in manufacturing supply
chains. Neural Computing and
Applications, 32(7), 2635-2649. (SCI, IF: 4.5)
48.
Rajesh, R. (2018). On sustainability, resilience,
and the sustainable–resilient supply networks. Sustainable Production and Consumption, 15,
74-88. (SCI, IF: 10.9)
49.
Rajesh, R. (2018). Measuring the barriers to
resilience in manufacturing supply chains using Grey Clustering and VIKOR
approaches. Measurement, 126,
259-273. (SCI, IF: 5.2)
50.
Rajesh, R., & Ravi, V. (2017). Analyzing
drivers of risks in electronic supply chains: a grey–DEMATEL approach. The International Journal of Advanced
Manufacturing Technology, 92, 1127-1145. (SCI, IF: 2.9)
51.
Suresh
Kumar, P., Shriram, R. G., Rajesh, R.,
& Rammohan, A. Causal Analysis of the challenges to electric Vehicles’
Adoption: Implications to emerging economies. Case Studies on Transport Policy, 15. (ABDC C)
Sponsored/ Consultancy Projects
1. Title: Predicting the social sustainability indicators of performances of Small and Medium Enterprises SMEs in India using grey Markov-models, Funding Agency: MATRICS-SERB, GoI, Role: Principal Investigator, Period: 2024 to 2027, Funding: ₹6.6 Lakhs
2. Title: Linking Psycho Social Conditions of People and the Effects of Pandemics: Reference to COVID-19 Situations in India, Funding Agency: CRG-SERB, GoI, Role: Principal Investigator, Period: 2024 to 2027, Funding: ₹25.476 Lakhs
3. Title: Evaluating the role of systemic sustainability: An empirical study in the Indian healthcare sector, Funding Agency: FRG-IIM Tiruchirappalli, Role: Principal Investigator, Period: 2023 to 2026, Funding: ₹5 Lakhs
4. Title: Integrating social sustainability into supplier evaluation: Case evaluation and development of methodologies, Funding Agency: Logistics & AI Consulting, Jeddah, Role: Principal Investigator, Period: 2022 to 2023, Funding: ₹3 Lakhs (Completed)
Book chapters/ Proceedings
1. Baheti, P., Sikka, M., Arya, K. V., & Rajesh, R. (2020, February). Federated Learning on Distributed Medical Records for Detection of Lung Nodules. In VISIGRAPP (4: VISAPP) (pp. 445-451).
2. Purswani, J., Rajesh, R., Khandelwal, R., & Singh, A. (2020). Chaos theory on generative adversarial networks for encryption and decryption of data. In Advances in Bioinformatics, Multimedia, and Electronics Circuits and Signals: Proceedings of GUCON 2019 (pp. 251-260). Springer Singapore.
3. Gupta, N., Rajesh, R., & Daultani, Y. (2021). Investigation on supply chain vulnerabilities and risk management practices in Indian manufacturing industries. In Computational Management: Applications of Computational Intelligence in Business Management (pp. 535-552). Cham: Springer International Publishing.
4. Siddharth, T., Daultani, Y., & Rajesh, R. (2021). Millennial Customers and Hangout Joints: An Empirical Study Using the Kano Quantitative Model. In Computational Management: Applications of Computational Intelligence in Business Management (pp. 137-157). Cham: Springer International Publishing.
Conference Chair/ Keynote
Publication committee chair: IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2022, ABV-IIITM Gwalior, India.
Keynote speaker: IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2024, ABV-IIITM Gwalior, India.