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This study is an outcome for District Rural Development, Coimbatore to study the customer satisfaction towards the Khadi and Village Industrial products. The study, which certain to the field of marketing, was carried out in Coimbatore city. In Tamilnadu KVI play a predominant role in respect of production, processing and marketing KVI products. The study aims at providing an insight on customer’s satisfaction and also the various factors, which influence to buy the Khadi and Village Industrial products. It is also aimed at helping the District Supply and Marketing Society a marketing retail outlet in improving the sales and various other Promotional activities. The relevant information was obtained from various customers of Khadi outlets through a questionnaire. The primary data for the study are collected with the help of structured questionnaire. The questionnaire was distributed to 100 respondents. The tools used for analysis are Simple Percentage Method and Two stage Factor Analysis. The present study reveals evidence to the fact that KVI products are boon to the market. The Khadi and village industries had gained worldwide appreciation as it is handmade, durable, long lasting and organic products. The KVI in Tamilnadu shows an increasing trend in production, sales, employment opportunities and earnings. Therefore the khadi and village industrial products may encourage and develop the high value to hold the customers in the study area.
Keywords:
Keywords - Customer Satisfaction, Khadi Products , Khadi and village industries
Cite Article:
"Customer Satisfaction towards Khadi and Village Industrial Products with reference to Coimbatore city", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 7, page no.1537 - 1543, July-2022, Available :http://www.ijrti.org/papers/IJRTI2207240.pdf
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000204901
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator