Qualification: 
MBA, BSc
maheshwarp@am.amrita.edu

Qualification: MBA (ASB), B.Sc. (Biotechnology)

BIOGRAPHY:

Maheshwar Pratap is an Operations Management enthusiast and is a Faculty Associate at the Amritapuri campus. Prior to his teaching assignment at the ASB, Maheshwar has worked with pharma major Biocon in development, industrialization and commercialization of biomedical devices into emerging and regulated markets. Maheshwar has also worked with retail operations of Pantaloon Retail India Limited and handled store operations for large format stores of the group.

His research interests include welfare economics and poverty alleviation, efficacy of government schemes and public policy interventions. Maheshwar is also involved in research works around technology aided learning and its implications on learners.  Maheshwar has authored 8 research papers with his co-authors and presented them at leading conferences in his area. 

In his free time, Maheshwar enjoys travelling, reading and watching movies. 

Publications

Publication Type: Journal Article

Year of Publication Title

2020

V. Manohar, Biplab Bhattacharjee, and Maheshwar Pratap, “Preventing misuse of discount promotions in e-commerce websites: An application of rule-based systems”, Int. J. of Services Operations and Informatics, 2020.

2019

Maheshwar Pratap and Naveen Kumar K., “Identifying Durability Failure Parts using 24 Months-In-Service Data: A Case-Based Empirical Study from an Automobile Manufacturer in India”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 4, 2019.[Abstract]


This paper analyses the warranty claims data to identify faulty parts contributing to increasing failure using Weibull Analysis, in the automobile industry. Unlike studies in the past, this study uses 24 month service data to investigate the cause of failure due to faulty parts.Usually, the forecasting of the part failure is done for the 3 months in service (MIS) data and the automobile manufacturers use this parameter to set Key Performance Indicators (KPI) for quality improvement among design engineers. The KPI set using 3MIS data is used to determine 12 MIS and 24MIS KPIs. The period used in the development of KPIs affects the number of failed parts to be selected for improvement. As the monitoring period of countermeasure takes long durations, the repetitive failures added in data during the monitoring period, make the analysis complicated. Also, the seasonal pattern of failures cannot be addressed using 3MIS data. By increasing the analysis period to 24MIS, this paper finds evidence that increase in MIS leads to the identification of faulty parts that are causing repeated failures. The scope of the study extends towardsthe detection of new issues and towards monitoringthe effectiveness of existing countermeasures.This reduces warranty costs for the manufacturer and provides time to develop appropriate countermeasures along with increased monitoring period of failure parts leading to durability quality improvement

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2019

Poonthamil R. and Maheshwar Pratap, “Optimization of Instrumental Workflow in CSSD at Hospital Sector”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol. 8, no. 4, 2019.[Abstract]


Theobjective of this paper is to analyze the existing instrument workflow of CSSD [Central Sterile Supply Department] and to suggest the optimized workflow solutions for the hospital. We need to study about CSSDand what are the various activities which takes placethere along with the timings they required for each activity. By knowing those, we need to find out the critical and non-critical activities to create a map.The basic outline of the map is that the instruments from OT [Operation Theatre] to TSSD [Theatrical Sterile Supply Department], TSSD to CSSD, then CSSD to TSSD and TSSD to OT store. In detail, we will study about each area how the instruments are moving, and how much time it consumes.For that we need to create an existing workflow with the lean tool called VSM [Value Stream Mapping] and in that pick out the critical and non–critical activities. We can remove the non– critical activities and create a new workflow.With the new workflow we will form the Program Evaluation & Review Technique model which helps to know the percentage of efficiency has been improved in accordance to the existing workflow. With this solution, we can propose a new workflow of Instruments with the minimized critical activity and time period for the activities which takes place in CSSD of the hospital sector. Keywords: Value Stream Mapping, Program Evaluation and Review Technique, Optimized Workflow

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2019

Maheshwar Pratap and S. N. Sabjan, “The Implementation of TPM on Manufacturing Performance at FMCG Company”, International Journal of Innovative Technology and Exploring Engineering, vol. 8, 2019.[Abstract]


The focus of this paper is to enlighten the commitments of Quality Maintenance Pillar of TPM in increasing the product quality in a FMCG industry involved in the manufacturing of HDPE bottles and coconut oil. QM pillar is a critical activity of the TPM approach which expects to delight the customer through zero defect manufacturing. TPM that is effectively implemented increases the production efficiency with an ultimate aim of achieving zero losses, zero breakdown and zero defects. The main aim of QM pillar is to eliminate the non-conformances in a methodical way and maintain the equipment for high quality products. Activities involved with QM pillar was able to decrease the customer complaints and regulatory complaints to zero. The targets put forward by the QM pillar was effectively achieved by the industry, the targets included maintaining the customer complaints at zero, reduce the in process defects by 50% and increase the production of Total value of goods worth 50 lakhs to one crore worth SKU.

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2011

Maheshwar Pratap and Prasad, V., “Variations in the Occupational Structure and Gender Segregation in India and the States : Analysis Based on Census of India 2001 and 2011”, International Journal of Economics & Management Sciences, vol. 6, no. 4, 2011.[Abstract]


The proportion of workers engaged in various occupations pictures the socio-economic development of a region. Occupational gender segregation is said to exist when women and men are distributed across occupations disproportionately without considering the nature of the distribution of occupations. According to the census of India, workers are distributed according to the occupation in which they are engaged into four broad categories namely, cultivators, agricultural labourer, household industrial workers and other workers. The main objective of the study is to measure the state occupational gender segregation, in this article; the occupational differentiation and segregation by sex are measured through different indices. The study showed that even though the regional distribution of occupations in the different states of India are more or less even, the occupational gender segregation exists in almost all the states in varying degrees. Throughout the states of India, male workers are more than female workers, however, the distribution of population by sex shows that almost equal proportion of both sexes are engaged in each state. Occupational gender wise integration is a sign of progress which ensures proportionate participation of women in economic activities. So, measures should be taken by the planners and policy makers to absorb more women in modern large enterprises and thereby expand economic development.

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Publication Type: Conference Paper

Year of Publication Title

2020

Maheshwar Pratap, Madhavan, S., and Dr. Deepak Gupta, “Adapting aspirations: Negative life events, Resource Scarcity and Extreme Poverty (Accepted)”, in Annual Meeting of Academy of Management, Vancouver, Canada, August, 2020.

2020

Maheshwar Pratap, Madhavan, S., and Dr. Deepak Gupta, “Adapting aspirations: Negative life events, Resource Scarcity and Extreme Poverty (Accepted)”, in Doctoral Colloquium in Management and Development, Institute of Rural Management Anand, Gujarat, November, 2020.

Publication Type: Conference Proceedings

Year of Publication Title

2017

Maheshwar Pratap, Dr. Sangeetha G, Dr. Deepak Gupta, and Anitha Kaveri, “Employment Guarantee Scheme through the Lens of Financial Inclusion”, 2017 International Conference on Data Management, Analytics and Innovation, ICDMAI 2017. Institute of Electrical and Electronics Engineers Inc., pp. 230-235, 2017.[Abstract]


Financial Inclusion is one of the stated objectives of National Rural Employment Guarantee Act (NREGA) - world's largest Employment Guarantee Scheme. Even though financial inclusion efforts began in India in 2005, large sections of rural India still remain financially excluded. At the time of this work, possessing a bank/ post office account has not been mandated by the Government of India for gaining NREGA employment - our work, therefore focuses on the role of access to formal banking on the breadth and depth of participation in Employment Guarantee Schemes. We find evidences of positive impact of access to formal banking on demand for NREGA jobs as well as extent of participation. We also find interesting contrasts between individual and joint bank account holders in demand for labor as well as participation.

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2017

Anitha Kaveri, Dr. Sangeetha G, Dr. Deepak Gupta, and Maheshwar Pratap, “Decoding Engagement in MOOCs: An Indian Learner Perspective”, Proceedings - IEEE 8th International Conference on Technology for Education, T4E 2016. Institute of Electrical and Electronics Engineers Inc., pp. 100-105, 2017.[Abstract]


Building on existing works that hold 'learner engagement' central to learning, this paper seeks to decode the constituents of student engagement in MOOC learning. Specifically we model the impact of preference for learning styles and the different motivations to learn on learner engagement in MOOCs. We propose that an inclination to learn new things, lifelong learning attributes and paying for a course will positively impact engagement. Treating learner engagement in MOOCs as a 'latent construct', we employ a Structural Equation Model (SEM) on a dataset of Indian MOOC learners to test our hypothesis. Our analysis shows that learners who indicate love for learning as a reason for learning are more engaged in MOOCs. The results also indicate that those learners who are comfortable with learning and understanding new things are more engaged in MOOCs. Learners who prefer learning by themselves show lesser engagement in MOOC learning. We have argued in this paper that the current discussion on learning outcomes in MOOCs is unidimensional in its focus on MOOC success as a 0-1 activity centered on completion. Learning is a multi-dimensional activity and in order to take our current understanding of MOOCs forward, it is important to consider broader aspects of learning and its outcomes. Measuring engagement and the factors that lead to engagement were a first step towards a developing a more holistic understanding of MOOC based learning. The results from this study - one of the first to focus on learner engagement in MOOCs - are encouraging as it proposes an alternate way to look at success in MOOCs. © 2016 IEEE.

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2016

Anitha Kaveri, Dr. Deepak Gupta, Dr. Sangeetha G, and Maheshwar Pratap, “Convergence or Divergence: MOOCs and Legacy of Higher Education Outcomes”, Proceedings - 2016 IEEE 4th International Conference on MOOCs, Innovation and Technology in Education, MITE 2016. Institute of Electrical and Electronics Engineers Inc., pp. 20-24, 2016.[Abstract]


Massive Open Online Courses have been deemedboth as a disruption as well as the biggest experiment of ourtimes in higher education. Higher Education Institutions (HEIs)are facing a lot of heat owing to competition and rising costs. This work looks at Massive Open Online courses through the lensof Higher Education and its expected outcomes. Using acomparative framework, we map the expected outcomes of highereducation against popular global MOOCs and the recentlylaunched Indian version - SWAYAM to evolve the strengths andweaknesses inherent to both modes. Global MOOC platformsscore highest on student centric parameters including learningdesign, opportunities for lifelong learning, better accessibility. The strength of SWAYAM lies in its qualitative evaluation systemsas well as recognition of credits, equity of access andaffordability. Traditional HEIs have a clear edge over globalMOOCs and SWAYAM in terms of long term impact on citizenand society building and shaping individual opinions.

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2015

Anitha Kaveri, Dr. Sangeetha G, Dr. Deepak Gupta, and Maheshwar Pratap, “Decoding the Indian MOOC learner”, Proceedings of the 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology in Education, MITE 2015. Institute of Electrical and Electronics Engineers Inc., pp. 182-187, 2015.[Abstract]


Massive Open Online Courses have been looked at both as disruptive innovation as well as the biggest experiment in education in recent times. 15 Million learners have turned to MOOCs as in 2014 and Indians constitute the second largest share of the MOOC user base. This paper attempts to understand some of the essential characteristics that distinguish a MOOC user from a non-user in India. A proprietary survey for understanding MOOC consumers has been used to draw insights on demographics of potential MOOC users including age, occupation, gender, educational backgrounds as well as some salient aspects of their personality, learning styles and life goals. Three logistic regression models have been tested. The first model investigates the impact of background demographic variables and internet skills of respondents on the choice to enroll in at least one MOOC course. The second model includes key personality traits that are hypothesized to influence the user adoption of MOOCs and the full modeladdsvariables pertaining to learning styles, learning environment and life goals. Those with better internet skills and an existing preference for learning through videos were seen to be significantly more likely to adopt MOOCs. Personality traits aligned with an openness to try new things were seen to influence the adoption decision but the learning styles and learning environment did not differentiate users from non-users. The results also indicate a significant influence of gender and age. © 2015 IEEE.

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