An Analysis of Consumer Perception Towards Retail Brands in Big Bazaar, Chennai

Raja, Mardani; Ali, Dr.M.I.Saifil Ali Dr.M.I.Saifil

doi:10.15373/2249555x/feb2014/84

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Studies have also reported that complex models are more prone to overfitting and result in poor interpretation [13,25]. Complexity in prediction based on structured data obtained from clinical records [68][69][70]. As the size of dataset increases, the accuracy rate decreases [22].…”

Section: B Future Recommendationmentioning

confidence: 99%

Medical Big Data Analytics Using Machine Learning Algorithms

Moorthy,

Gandhi*

2019

IJITEE

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Artificial intelligence and expert systems plays a key role in modern medicine sciences for disease prediction, surveillance interventions, cost efficiency and better quality of life etc. With the arrival of new web-based data sources and systematic data collection through surveys and medical reporting, there is a need of the hour to develop effective recommendation systems which can support practitioners in better decision-making process. Machine Learning Algorithms (MLA) is a powerful tool which enables computers to learn from data. While many novel developed MLA constantly evolves, there is need to develop more systematic, robust algorithm which can interpret with highest possible accuracy, sensitivity and specificity. The study reviews previously published series on different algorithms their advantages and limitations which shall help make future recommendations for researchers and experts seeking to develop an effective algorithm for predicting the likelihood of various diseases.

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Section: B Future Recommendationmentioning

confidence: 99%

Medical Big Data Analytics Using Machine Learning Algorithms

Moorthy,

Gandhi*

2019

IJITEE

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The Purchase Intention’s Driver of Private Label Brands From the Hypermarket Standpoint

Ibrahim

Yatim

2020

AIJBES

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These days, the consumer is starting to make changes in their buying behavior since the income is overwhelmed due to the economic pressure. Subsequently, the Private Label Brands (PLBs) are offering lower prices compare to National Brands (NB), and cause the consumer started to purchase PLBs to manage their expenses. The determination of this research is to study the Purchase Intention of Private Label Brands (PLBs) and identifies the predictors of Purchase Intentions for the store brands since there are shortcomings of previous studies regarding PLBs' main factors. The aims are to observe the relationship between Purchase Intention of Private Label Brands (PLBs) and Perceived Price, Perceived Quality, Perceived Value, and Perceived Risk. Primary data was collected through self-administered questionnaires to the respondents in Northern areas using mall intercepts. From the finding, there are significant and influential relationships between the DV and IVs. The results will certainly provide extensive information where retailers should focus to obtain a strategic competitive advantage by adding value to its products and services or reducing its own costs more effectively than its rivals in the industry.

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An Analysis of Consumer Perception Towards Retail Brands in Big Bazaar, Chennai

Cited by 2 publications

References 2 publications

Medical Big Data Analytics Using Machine Learning Algorithms

Medical Big Data Analytics Using Machine Learning Algorithms

The Purchase Intention’s Driver of Private Label Brands From the Hypermarket Standpoint

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