Key Highlights:

• The study identifies 10 key strategies required for successful blockchain adoption in supply chains using a PRISMA-based literature review.
• Three major driving strategies—process identification (S1), technology integration (S3), and training (S5)—are the most influential for implementation.
• A structured framework is developed using m-TISM and MICMAC analysis to show relationships, hierarchy, and influence among strategies.
• The study proposed three implementation pathways (paths I, II, III) that provide a step-by-step roadmap for industries to adopt blockchain effectively.

Relevant Publication:

Hasteer, N., Singh, M., Sindhwani, R., Zhang, J. Z., & Liu, D. Y. (2026). Strategic Framework for Blockchain-Enabled Supply Chains in the Web 3.0 Era. Journal of Database Management (JDM), 37(1), 1-32. https://doi.org/10.4018/JDM.408104

Key Highlights:

• This work focuses on enabling digitization of mining techniques for improving sustainability and operation-centric efficiency
• It identifies key decision criteria and enabling technologies affecting digitization of mining
• Utilises a multi-criteria decision framework for ranking identified enablers and criteria
• Encourages derivation of environmentally sustainable and efficient mining-oriented operations at an industrial scale.

Relevant Publication

Chatterjee, C., Sindhwani, R., Mangla, S. K., & Hasteer, N. (2025). Digitization of the mining industry: Pathways to sustainability through enabling technologies. Resources Policy, 100, Elsevier

https://doi.org/10.1016/j.resourpol.2024.105450

Key Highlights:

• Proposed a comprehensive Internet of Things (IoT) implementation model for sustainable development.
• Identified the challenges organizations face during IoT adoption for sustainable development.
• Used the Preferred Reporting Items for Systematic Reviewsand Meta-Analysis (PRISMA) method to identify these challenges.
• Used Fuzzy Interpretive Structural Modeling (F-ISM) to understand the correlation between the identified challenges.
• Used Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MicMac) to highlight the most critical challenges.

Relevant Publication

Hasteer, Nitasha, et al. "A fuzzy interpretive structural modeling approach for implementing IoT and achieving the United Nations sustainable development goals." Decision Analytics Journal 8 (2023), Elsevier, https://doi.org/10.1016/j.dajour.2023.100313

Key Highlights:

This study focuses on supply chain decarbonization using Industry 4.0 based technologies.It identifies key criteria and factors enabling supply chain decarbonization It aims to encourage carbon mitigation, resource efficiency and smooth transition to net-zero supply chain.

Relevant Publication

Sindhwani, R., Hasteer, N., Behl, A., Chatterjee, C., & Hamzi, L. (2023). Analysis of sustainable supply chain and industry 4.0 enablers: a step towards decarbonization of supply chains. Annals of Operations Research, Springer 1-39.

Link for the Paper https://link.springer.com/article/10.1007/s10479-023-05598-7

Key Highlights:

This work examined key enablers that improve the resilience and sustainability of the MSME sector, which plays a significant role in economic growth and employment. Using m-TISM and MICMAC analysis the research identified and analyzed the interrelationships and hierarchy of these enablers. The findings highlight factors with strong driving power that policymakers and MSME authorities should prioritize to strengthen the sector, improve resource utilization, and support long-term development, especially in the post-COVID context.

Relevant Publication

Sindhwani, Rahul, et al. "Exploring “what,”“why” and “how” of resilience in MSME sector: a m-TISM approach." Benchmarking: An International Journal 30.6 (2023): 1884-1911.

Key Highlights:

This study focused on identifying and prioritizing key parameters that influence the software testing process. A hybrid decision-making framework combining Fuzzy AHP and Fuzzy TOPSIS is proposed to evaluate and rank these parameters using expert opinions represented through triangular fuzzy numbers. The findings indicate that Automated Testing, Verification/Validation, and Good Design Principles are the most critical factors for effective software testing, helping industry experts improve the reliability and efficiency of the testing process.

Relevant Publication

Singh, Veenu, Vijay Kumar, and V. B. Singh. "A hybrid novel fuzzy AHP-TOPSIS technique for selecting parameter-influencing testing in software development." Decision Analytics Journal 6 (2023): 100159.