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Banerjee, Sougata
- An Empirical Study to Understand the Consumer Buying Behaviour in Ethnicwear Market in India through the Application of Factor and Cluster Analysis
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Authors
Affiliations
1 Dept. of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. Of India, Kolkata, West Bengal, IN
2 Dept. Of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Kolkata, West Bengal, IN
1 Dept. of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. Of India, Kolkata, West Bengal, IN
2 Dept. Of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Kolkata, West Bengal, IN
Source
Drishtikon: A Management Journal, Vol 7, No 1 (2016), Pagination: 57-82Abstract
In the study the researchers tried to cover up the present scenario of ethnicwear market in India and the consumer behaviourism. Thirty-one variables were selected from the study of (Gurunathan & Krishnakumar, 2013). 10 variables were taken on consumer characteristics, 3 variables on promotional techniques of the brand, 5 on influence of reference group, 5 on product attributes and 8 on store attributes were chosen from the study and Five point Likert Scale for opinion and responses. Exploratory factor analysis was run to understand the consumer buying styles in ethnicwear market and to identify the important indicators behind the purchase decision. Ten components or ten distinct types of customers were extracted through Varimax method and rotated component matrix namely Rational Purchasers, Influenced Shoppers, Quality Gift Purchasers, Promotion Driven Customers, Unplanned Purchasers, Passionate Consumers, Planned Purchasers, Customers looking for Card Facilities, Customers having Brand Knowledge and Brand Aware Customers. Four indicators on the basis of highest factor loading extracted from exploratory factor analysis were chosen for cluster analysis namely parking facilities, brand consciousness, preferences of parents and advertisement. Cluster analysis was done first by hierarchical method to deduce number of clusters which can be formed, and then the data was further processed through Ward Method in K-Means Cluster Method. Four distinct and differentiating segment namely emotional, rational, value driven and traditional modern were concluded with discrete characteristics.Keywords
Consumer Behaviour, Customer Types, Ethnicwear, Factor Analysis, and Cluster Analysis.
References
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- Factors affecting the Consumer Buying Behavior in Kidswear Market and Perceptual Mapping of the Kidswear Brands of Shopper’s Stop
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Authors
Affiliations
1 Dept. Of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. Of India, Block-LA, Plot No: 3B, Sector-III, Salt Lake City, Kolkata–700098, IN
1 Dept. Of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. Of India, Block-LA, Plot No: 3B, Sector-III, Salt Lake City, Kolkata–700098, IN
Source
Journal of Management Research, Vol 14, No 4 (2014), Pagination: 257–269Abstract
Out of the three categories in Indian Retail business one of the most growing and profitable category is kidswear. The changing family income patterns and brand consciousness of the children have affected the consumer brand choice and buying behavior. Without a doubt there have been many key factors determining the buying behavior of consumers in the kidswear market as well as their perception towards upcoming and leading brands. This paper aims at identifying the key factors affecting the buying decision of consumers followed by mapping the various brands available at Shopper's Stop according to consumer perception. Statistical inferences were drawn from the analysis, key buying behavior factors were extracted, and multi-dimensional scaling was implemented in the study to make logical conclusions of the study.Keywords
Kidswear Market, Factor Analysis, MDS, Consumer Buying Factors, Shopper’s Stop.- Positioning of Vishal Mega Mart, a Hypermarket and its Consumer Preferences through the Implementation of Multi Dimensional Scaling, Factor and Conjoint Analysis w.r.t. Delhi Market
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Authors
Affiliations
1 Assistant Professor, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. of India, Kolkata, West Bengal, IN
2 Batch 2012-2014, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. of India, Kolkata, West Bengal, IN
1 Assistant Professor, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. of India, Kolkata, West Bengal, IN
2 Batch 2012-2014, Department of Fashion Management Studies, National Institute of Fashion Technology, Ministry of Textiles, Govt. of India, Kolkata, West Bengal, IN
Source
International Journal of Marketing and Business Communication, Vol 8, No 1 (2019), Pagination: 25-37Abstract
This research study was done mainly aiming to evaluate the positioning of Vishal Mega Mart, one of the successful hypermarkets in India based on similarity and dissimilarity model of multi-dimensional scaling to plot a relevant perceptual map. It was inferred from the study that Vishal Mega Mart is perceived to be similar to Big Bazaar in terms of transparency and value for money. In terms of a shopping convenience, it is similar to Spencer’s. Two dimensions which were deduced were: Dimension 1: x represents high shopping convenience and x’ represents low shopping convenience and Dimension 2: y represents superior transparency and money value and y’ represents inferior transparency and value for money. After that exploratory factor analysis was implemented on certain chosen parameters, based on what Vishal do it’s positioning in the market, to extract the most important factors which influences the consumer preferences based on highest factor loading. After implementing factor analysis, from the total of 15 components/variables, 6 factors were extracted. The factors were churned to shopping convenience, Transparency and money value, customer centric, delivery and reliability, essentials and deals for fresh and trendy products. Three product attributes were selected on basis of factor loadings to create various combinations of product offerings. Conjoint analysis was executed to identify the combinations with highest utility value to the customers. From the simulation, it was found out in the study that the market offering with profile of high variety, low price and high quality was what customers of Vishal preferred most from the different combinations of variety, price and quality.Keywords
Positioning, Hypermarket, Factor Analysis, Multi-Dimensional Scaling, Conjoint Analysis.References
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- Artificial Lighting for Plants (ALP)
Abstract Views :76 |
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Authors
Affiliations
1 Department of Electrical Engineering, University of Engineering & Management, Jaipur., IN
2 Department of Electrical Engineering, Manipal University Jaipur, Jaipur., IN
1 Department of Electrical Engineering, University of Engineering & Management, Jaipur., IN
2 Department of Electrical Engineering, Manipal University Jaipur, Jaipur., IN
Source
Journal of Mines, Metals and Fuels, Vol 71, No 4 (2023), Pagination: 534-537Abstract
Agriculture is the backbone of Indian economy. India has marked itself self-sufficient in food. But the large population of India is always keeping a constant demand in the market for food. Also, with the growing industrialization and urbanization, agricultural tracts are becoming fewer in number. Hence, the supply of food has put over-utilization of the existing agricultural lands. There has been a constant effort in the research and development sector of agriculture in India. Most of the rural people in India practice agriculture.Artificial Lighting for Plants (ALP) is the concept of growing a plant in light (other than sunlight), with all the other factors like moisture, soil nutrition, etc. Using the ALP device, a farmer can monitor the plants regularly. Also, distinguished light can be executed for different kinds of plants. Hence, ALP device not only lets one to boost the production, but also maintain good health of the plant for ensuring quality as well as quantity.
Keywords
Agriculture, Artificial Lighting, Light, Plants, Spectrum.References
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