Browsing by Author "Mahapatra, Niraj"

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Degree of Global Competitiveness: A Case on Jute, Kenaf & Allied Fibres Industry /
(Elsevier, 2016-01-01) Mahapatra, Niraj
Global competition is the services or products provided by competing companies that serve international customers. Competition on a local scale where people are competing against one another for one common goal - the best in their core competency. Global competition has allowed companies to buy and sell their services internationally, which opens the door to increased profits and flattens the playing field in business. Degree of competitiveness helps to examine the present status and future prospects of an industry. This paper is an attempt to measure the extent of global competitiveness in world Jute, Kenaf and Allied Fibres (JAF) industry. Roy (2006) (1-√∑ 𝑀𝑖 2 ) the formula for degree of competition is applied where Mi is the market share of each individual nation in global JAF production, i ranging from 1 to k. For each year we can calculate one such measure, generating there by a time series data. Based on time series analysis one can indicate the past trend and future direction. The position of India has also been indicted along with top ten nations.
Issues and Challenges in Model Risk Quantification - A Research Study /
(Elsevier, 2017-01-01) Mahapatra, Niraj
Model risk management stands at the forefront of risk management for many of today’s ﬁnancial services ﬁrms. It can be understood as the risk of model failure due to incorrect inputs, flawed assumptions, and incorrect model design or model misuse. After the Global Crisis in 2008, many financial institutions have concentrated on model risk concepts to understand and evaluate the impact of model failures and ways to avoid the same.
Using Big Data Analytics to Optimize Container Terminal Operations /
(Elsevier, 2016-01-01) Mahapatra, Niraj
Data volumes are growing and the pace of that growth is accelerating. Sensor data, log files, social media and other sources have emerged, bringing a volume, velocity, and variety of data that far outstrips traditional data warehousing approaches. Many organizations are still in the early stages of considering their potential use cases for big data. Port Operations is one where Big Data Analytics (BDA) framework can be proficiently used as this sector is having great potential to adopt BDA practices and this will allow establishing better performance metrics to measure Key Performance Indicators (KPIs) to explore the extent to which a business can be optimized. This might give the traditional ERP, CRM systems a run for their money.