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Predictor Model in Consumer Shopping by Vending Machines- the Indian Context

Journal: International Journal of Application or Innovation in Engineering & Management (IJAIEM) (Vol.8, No. 8)

Publication Date:

Authors : ;

Page : 047-054

Keywords : ;

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According to Ministry of Food Processing Industries, the Food and Grocery market of India is the sixth largest market in the world with retail contributing 70% of the sales. It constitutes the largest proportion of India's retail sector and is expected to reach Rs 61 lakh crores by 2020. With an increase in the disposable incomes, increase in young population, aspiring for better standard of living, more number of women in the workforce, Indian consumers have become more sophisticated, informed and aware. This study aims to identify and study the factors influencing innovative retailing practices in Grocery Retailing. Researchers' have attempted to identify factors affecting Indian consumers' Recommendation of purchase behavior from various perspectives. Making use of Innovative channels to reach consumers have been studied. There is little research in the literature available, on the factors influencing the Recommendation of Purchase Grocery retailing through Vending Machines , in the Indian Context. The methodology used is descriptive and the Willingness to recommend the usage of Vending Machines in Grocery retailing is influenced by factors like Reliability, Access and Monetary Aspects. This study will shed more light on the factors influencing Recommendation of Purchase in Grocery Retailing through Vending Machines in the Indian Context. This research will have Implications both in academics and Industry. This Research has both Managerial and Theoretical Contributions. While studying the factors influencing Recommending of Purchase in Grocery retailing through Vending Machines, is seen as Theoretical, Applications in the Industry on areas of focus in Recommendations of Purchase by Vending Machine for Retailers are the Managerial Implications. Keywords: Vending Machines, Retailing, Factors, Predictor Model.

Last modified: 2019-09-09 19:44:31