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Data Science
The introduction of new products is one of the important means to ensure the vitality of convenience stores. Convenience stores introduce hundreds of new products every month, so it is crucial for them to make decisions quickly and conveniently. In order to give advices to convenience stores, a comprehensive evaluation model of new product introduction in convenience stores based on multi-dimensional data is proposed. Firstly, based on theories of multidimensional data and snowflake schema, a snowflake model designed for new product introduction in convenient stores was established, which includes 4 dimensions: supplier, product, consumer and competitors. Secondly, according to the constructed snowflake model and the theories of comprehensive evaluation, subject weighting method was applied and 23 indicators were established for decision-makers to evaluate new products by having comparison with existing products. Furthermore, decision-makers can use the formula to calculate the score of new products and judging whether new products should be introduced or not according to the score. Finally, in order to test the operability of the comprehensive evaluation model, Chu Orange in Anda convenience stores was analyzed, which lead to conclusion that Chu Orange should be introduced. And the subsequent increased sales illustrates the validity of the proposed model.
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- Titel
- Comprehensive Evaluation Model on New Product Introduction of Convenience Stores Based on Multidimensional Data
- DOI
- https://doi.org/10.1007/978-981-15-2810-1_5
- Autoren:
-
Hongjuan Li
Ding Ding
Jingbo Zhang
- Verlag
- Springer Singapore
- Sequenznummer
- 5