Mangla, Sachin Kumar

Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies

Luthra, S., & Mangla, S. K. (2018) · Process Safety and Environmental Protection

Digital Transformation in IndustrySustainable Supply Chain Management

Cited by 909

Linking big data analytics and operational sustainability practices for sustainable business management

Raut, R. D., Mangla, S. K., Narwane, V. S., Gardas, B. B., Priyadarshinee, P., & Narkhede, B. E. (2019) · Journal of Cleaner Production

Big Data and Business IntelligenceImpact of AI and Big Data on Business and Society

Cited by 381

Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy

Luthra, S., Kumar, A., Zavadskas, E. K., Mangla, S. K., & Garza-Reyes, J. A. (2020) · International Journal of Production Research

Digital Transformation in IndustrySustainable Supply Chain Management

Cited by 376

Procurement 4.0 and its implications on business process performance in a circular economy

Bag, S., Wood, L. C., Mangla, S. K., & Luthra, S. (2020) · Resources, Conservation and Recycling

Sustainable Supply Chain ManagementDigital Transformation in Industry

Cited by 339

Evaluating the human resource related soft dimensions in green supply chain management implementation

Kumar, A., Mangla, S. K., Luthra, S., & Ishizaka, A. (2019) · Production Planning & Control

Sustainable Supply Chain ManagementEnvironmental Sustainability in Business

Cited by 135

Data-driven optimal dynamic pricing strategy for reducing perishable food waste at retailers

Kayikci, Y., Demir, S., Mangla, S. K., Subramanian, N., & Koc, B. (2022) · Journal of Cleaner Production

Supply Chain and Inventory ManagementFood Waste Reduction and Sustainability

Cited by 125

Data analytics for quality management in Industry 4.0 from a MSME perspective

Sariyer, G., Mangla, S. K., Kazancoglu, Y., Ocal Tasar, C., & Luthra, S. (2025) · Annals of Operations Research

Data Mining and Machine Learning ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 50