2021
DOI: 10.1108/md-03-2020-0320
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Predicting total sales volume interval of an experiential product with short life cycle before production: similarity comparison in attribute relationship patterns

Abstract: PurposeBecause of short life cycle and fluctuating greatly in total sales volumes (TSV), it is difficult to accumulate enough sales data and mine an attribute set reflecting the common needs of all consumers for a kind of experiential product with short life cycle (EPSLC). Methods for predicting TSV of long-life-cycle products may not be suitable for EPSLC. Furthermore, point prediction cannot obtain satisfactory prediction results because information available before production is inadequate. Thus, this paper… Show more

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Cited by 2 publications
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References 47 publications
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