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2020 | OriginalPaper | Chapter

Service Evaluation of Elderly Care Station and Expectations with Big Data

Authors : Aihua Li, Diwen Wang, Meihong Zhu

Published in: Data Science

Publisher: Springer Singapore

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Abstract

The problem of population aging in China has attracted wide concern, and big data is an important technological method in aging services. Considering China’s current national conditions, in the form of various elderly care, home-based elderly care will be the choice of most people, and elderly care station is the terminal institution of the home-based elderly care service system. The service quality evaluation index system for elderly care stations is designed according to service and construction standards. An evaluation model is established by using entropy method and analytic hierarchy process (AHP). Some analysis is performed based on the data of the questionnaire survey. The model can quantify the service requirements, conduct objective evaluation, and play a positive role in monitoring the development of elderly care stations. Introducing big data technology into the evaluation of the elderly services, the model will be more accurate, and be beneficial to the improvement of operational supervision and service quality.

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Title: Service Evaluation of Elderly Care Station and Expectations with Big Data
Authors: Aihua Li
Diwen Wang
Meihong Zhu
Publisher: Springer Singapore
Book: Data Science
Print ISBN: 978-981-15-2809-5

Electronic ISBN: 978-981-15-2810-1

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-981-15-2810-1_30

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