Research on Intelligent Service Quality Evaluation of Pharmaceutical Companies Based on Hierarchical Analysis
- DOI
- 10.2991/978-94-6463-198-2_50How to use a DOI?
- Keywords
- Hierarchical analysis; Service quality evaluation; Intelligent services
- Abstract
From the perspective of comprehensively improving the quality of intelligent services in the pharmaceutical industry, the service quality evaluation system of pharmaceutical enterprises is constructed in order to improve customer experience. The intelligent service quality evaluation model applicable to pharmaceutical enterprises is established using hierarchical analysis, the weights of each index are calculated, and then customer satisfaction is used to obtain the overall results of intelligent service quality evaluation. According to the evaluation results, the weights of the indexes and the scores of the indexes are the analysis is carried out to determine the weak points of the enterprise’s intelligent services, combined with the specific results in a targeted manner, and relevant constructive suggestions are put forward.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jing Guan AU - Nan Han PY - 2023 DA - 2023/08/10 TI - Research on Intelligent Service Quality Evaluation of Pharmaceutical Companies Based on Hierarchical Analysis BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 485 EP - 492 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_50 DO - 10.2991/978-94-6463-198-2_50 ID - Guan2023 ER -