Ramkumar M.
Asst. Professor mramkumar@iimraipur.ac.in 7712474624Ramkumar M.
Dr. Ramkumar M. Arputham is currently working as an Assistant Professor in the Department of Operations Management at Indian Institute of Management Raipur. Prior to this assignment, starting December 2019, Ramkumar was a Postdoctoral Researcher at the Chair of Logistics Management at the Swiss Federal Institute of Technology Zurich, Switzerland. Previously, he was with the Institute for Financial Management & Research as an Assistant Professor. He received his B.E. in Production Engineering from Anna University, Chennai (2007), Postgraduate Diploma in Management from SCMS, Cochin (2009), and Ph.D from the Department of Industrial & Systems Engineering, Indian Institute of Technology Kharagpur (2015). His research is interdisciplinary and lies on the interface between operations management and information systems, and encompasses supply chain technologies, supply chain sustainability, and humanitarian operations.
His research has been published in international journals such as Service Science (INFORMS), International Journal of Production Economics, International Journal of Production Research, Production Planning & Control, Annals of Operations Research, Computers & Industrial Engineering, IEEE Systems Journal and other peer reviewed journals. Furthermore, he regularly presents his work at international conferences, such as the Production and Operations Management Society Conference, the Decision Sciences Institute Annual Meeting, the International Annual IPSERA Conference, or the IIE Asian Conference. For attending these conferences, he has received numerous travel grants from the conference societies or his academic home institution
Journal Publications
>> Manupati, V. K., Ramkumar, M., Baba, V., & Agarwal, A. (2020). Selection of the Best Healthcare Waste Disposal Techniques During and Post COVID-19 Pandemic Era. Journal of Cleaner Production. DOI: https://doi.org/10.1016/j.jclepro.2020.125175
>> Ramkumar, M., Schoenherr, T., Wagner, S. M., & Jenamani, M. (2019). Q-TAM: A Quality Technology Acceptance Model for Predicting Organizational Buyers' Continuance Intentions for E-Procurement Services. International Journal of Production Economics, 10.1016/j.ijpe.2019.06.003. (Ranking: ABDC: A*; ABS: 3) (Impact Factor: 4.407), 216 333 - 348
>> Manupati, V. K., Schoenherr, T., Ramkumar, M., Wagner, S. M., Pabba, S. K., & Inder Raj Singh, R. (2019). A blockchain-based approach for a multi-echelon sustainable supply chain. International Journal of Production Research, 10.1080/00207543.2019.1683248. (Ranking: ABDC: A; ABS: 3) (Impact Factor: 3.199), 58 (7), 2222 - 2241
>> Kim, S., Ramkumar, M., & Subramanian, N. (2019). Logistics service provider selection for disaster preparation: A socio-technical systems perspective. Annals of Operations Research (Ranking: ABDC – A; ABS Category 3) (Impact Factor: 1.864) , 283 (https://doi.org/10.1007/s10479-018-03129-3), 1259 - 1282
>> Sharma, B., Ramkumar, M., Subramanian, N., & Malhotra, B. (2019). Dynamic temporary blood facility location-allocation during and post-disaster periods. Annals of Operations Research (Ranking: ABDC – A; ABS Category 3) (Impact Factor: 1.864), 283 (https://doi.org/10.1007/s10479-017-2680-3), 705 - 736
>> Kumar, G., Subramanian, N., & Ramkumar, M. (2018). Missing link between sustainability collaborative strategy and supply chain performance: Role of dynamic capability. International Journal of Production Economics, (Ranking: ABDC – A*; ABS Category 3) (Impact Factor: 4.407), 203 (1), 96 - 109
>> Manupati, V. K., Ramkumar, M., & Samanta, D. (2018). A Multi-Criteria Decision Making Approach for the Urban Renewal in Southern India. Sustainable Cities and Society (Impact Factor: 3.073), 42 https://doi.org/10.1016/j.scs.2018.08.011 (October 2018), 471 - 481
>> Manupati, V. K., Jedidah, S. J., Gupta, S., Bhandari, A., & Ramkumar, M. (2018). Optimization of a multi-echelon sustainable production-distribution supply chain system with lead time consideration under carbon emission policies. Computers and Industrial Engineering (Ranking: ABS Category 2) (Impact Factor: 3.195), 135 https://doi.org/10.1016/j.cie.2018.10.010 (September 2019), 1312 - 1323
>> Ramkumar, M. (2016). A modified ANP and fuzzy inference system based approach for risk assessment of in-house and third party e-procurement systems. Strategic Outsourcing: An International Journal (Ranking: ABDC B Category), 9 (2), 159 - 188
>> Ramkumar, M., Schoenherr, T., & Jenamani, M. (2016). Risk assessment of outsourcing e-procurement services: integrating SWOT analysis with a modified ANP-based fuzzy inference system. Production Planning & Control (Ranking: ABDC – B; ABS Category 3) (Impact factor: 2.330), 27 (14), 1171 - 1190
>> Jaipuria, S., Jenamani, M., & Ramkumar, M. (2016). The strategic procurement of raw material: a case study. International Journal of Procurement Management (Ranking: ABDC C Category), 9 (5), 524 - 547
>> Ramkumar, M., & Jenamani, M. (2015). Sustainability in Supply Chain Through E-Procurement—An Assessment Framework Based on DANP and Liberatore Score. IEEE Systems Journal (Impact factor: 4.337), 9 (4), 1554 - 1564
>> Ramkumar, M., & Jenamani, M. (2015). Organizational Buyers’ Acceptance of Electronic Procurement Services—An Empirical Investigation in Indian Firms. Service Science(INFORMS) (Ranking: ABS Category 1) (Impact Factor: 1.152), 7 (4), 272 - 293
>> Ramkumar, M., & Jenamani, M. (2012). E-procurement service provider selection—An analytic network process-based group decision-making approach. Service Science(INFORMS) (Ranking: ABS Category 1) (Impact Factor: 1.152), 4 (3), 269 - 294
Conference Papers
>> Wagner, S. M., Ramkumar, M., and Kim, S. (2019). Assimilation of e-Procurement systems in firms: An empirical investigation. 28th International IPSERA Conference (IPSERA 2019), Milan, Italy
>> Ramkumar, M., & Jenamani M. (2014). Developing a practical framework for assessing eprocurement post implementation success using DANP and bayesian belief networks. 45th Annual Meeting of the Decision Sciences Institute (DSI 2014) Tampa, FL, USA
>> Ramkumar, M., & Jenamani M. (2014). Adoption of E-Procurement Systems in Indian Industries - A Bayesian Structural Equation Modelling Approach. 25th Annual Production and Operations Management Society (POMS) Conference, Atlanta, USA
>> Ramkumar, M., & Jenamani M. (2014). Predicting Intention to Adopt E-procurement - An Empirical Investigation in Indian context. 25th Annual Production and Operations Management Society (POMS) Conference, Atlanta, USA
>> Ramkumar, M., & Jenamani M. (2014). Using Bayesian Structural Equation Modeling in Operations Management Research: A Practical Guideline. 25th Annual Production and Operations Management Society (POMS) Conference, Atlanta, USA
>> Ramkumar, M., & Jenamani M. (2014). Key Challenges in Implementing Sustainable Procurement though E-Procurement - A Grey-DEMATEL Approach. 25th Annual Production and Operations Management Society (POMS) Conference, Atlanta, USA
>> Ramkumar, M., & Jenamani M. (2014). The Role of Perceived Complexity on Eprocurement Continued Usage – An Empirical Investigation. 25th Annual Production and Operations Management Society (POMS) Conference, Atlanta, USA
>> Ramkumar, M., & Jenamani M. (2013). Sustainable supplier selection through eprocurement – A hybrid MCDM model based on DANP. 22nd Annual International Purchasing and Supply Education and Research Association (IPSERA) Conference, Nantes, France (Received Lelio Raffa Bursary Award)
>> Ramkumar, M. (2013). Acceptance of e-procurement in Indian Industries with special reference to third party systems. IPSERA Doctoral Workshop, Nantes, France
>> Ramkumar, M., & Jenamani M. (2012). Risk assessment of e-procurement systems adoption - a fuzzy based approach. IIE Asian conference, Singapore
>> Ramkumar, M., & Jenamani M. (2011). E-Procurement service provider selection – an ANP based approach. International Conference on Advances in Supply Chain and Manufacturing Management, Kharagpur
>> Ramkumar, M. (2011). Barriers in adoption of e-procurement in Indian industries – an interpretive structural modelling (ISM) based approach. 15th International Conference of Society of Operations Management, Kolkata