2018, Vol. 3, Issue 1, Part F
Logistic regression model applications in retail industryAuthor(s):
G Satyanarayana Reddy and N ViswamAbstract:
The Indian retail industry has emerged as one of the most dynamic and fast-paced industries due to the entry of several new players. It accounts for over 10 per cent of the country’s Gross Domestic Product (GDP) and around 8 per cent of the employment. India is the world’s fifth-largest global destination in the retail space. The Boston Consulting Group and Retailers Association of India published a report titled, ‘Retail 2020: Retrospect, Reinvent, Rewrite’, highlighting that India’s retail market is expected to nearly double to US$ 1 trillion by 2020 from US$ 600 billion in 2015, driven by income growth, urbanization and attitudinal shifts. Retail spending in the top seven Indian cities amounted to Rs.3.58 trillion (US$ 53.7 billion), with organized retail penetration at 19 per cent as of 2014.Pages: 476-480 | Views: 1006 | Downloads: 20Download Full Article: Click Here
How to cite this article:
G Satyanarayana Reddy, N Viswam. Logistic regression model applications in retail industry. Int J Stat Appl Math 2018;3(1):476-480.