Fuzzy comprehensive evaluation of product marketing management performance under the background of data driven
Ming Yang
International Journal of Product Development, 2025, vol. 29, issue 1, 35-52
Abstract:
In order to overcome the problems of low weight and score values, large fluctuations in indicator membership, and low credibility in traditional methods, this paper designs a new fuzzy comprehensive evaluation method for product marketing management performance under the background of data driven. First, determine financial performance indicators, innovation performance indicators, and market competition performance indicators. Utilise data driven technology to mine and clean performance indicators for product marketing management, combined with dimensionless evaluation indicators and consistency calculation to complete indicator data pre-processing. Build a fuzzy comprehensive evaluation model for product marketing management performance, input pre-processed indicator data into the model and obtain evaluation results. The test results show that the weight and score values of this method are high, the fluctuation of the membership degree of the evaluation index is low and the credibility of the comment results is high.
Keywords: data driven; product marketing; management performance; fuzzy comprehensive evaluation; dimensionless; data driven technology. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=144850 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:29:y:2025:i:1:p:35-52
Access Statistics for this article
More articles in International Journal of Product Development from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().