Research on Digital Village Micro-observation Model Based on Entropy Weight Method
[Purpose / Significance] Through the research on the personal informatization indicators of rural residents,this article constructs a measurement model of digital rural personal information,which can reveal the internal information behavior of individuals more comprehensively and profoundly, and und...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal of Library and Information Science in Agriculture
2020-04-01
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| Series: | Nongye tushu qingbao xuebao |
| Subjects: | |
| Online Access: | http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2020-4-68.pdf |
| _version_ | 1798023115814469632 |
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| author | SHEN Yuanyuan, WU Jinwen, LI Dan |
| author_facet | SHEN Yuanyuan, WU Jinwen, LI Dan |
| author_sort | SHEN Yuanyuan, WU Jinwen, LI Dan |
| collection | DOAJ |
| description | [Purpose / Significance] Through the research on the personal informatization indicators of rural residents,this article constructs a measurement model of digital rural personal information,which can reveal the internal information behavior of individuals more comprehensively and profoundly, and understand the demands and opinions of rural residents on informatized public services. [Method / Process] According to the current situation of digital rural informatization construction in China, this paper firstly uses the entropy weight method to calculate and select the informatization micro-observation index, and determines the measurement index model. Then by combining with the questionnaire data, we study and evaluate the personal informatization level of rural residents in China. [Results / Conclusions] The entropy weight method determines the weight of indicators, which can fully reflect the status of rural residents' information development level. The results show that we should raise the awareness of information and expand the channels for villagers to obtain information. |
| first_indexed | 2024-04-11T17:41:14Z |
| format | Article |
| id | doaj.art-6cdee25796a641f8b4ac49ee3d6e0101 |
| institution | Directory Open Access Journal |
| issn | 1002-1248 |
| language | zho |
| last_indexed | 2024-04-11T17:41:14Z |
| publishDate | 2020-04-01 |
| publisher | Editorial Department of Journal of Library and Information Science in Agriculture |
| record_format | Article |
| series | Nongye tushu qingbao xuebao |
| spelling | doaj.art-6cdee25796a641f8b4ac49ee3d6e01012022-12-22T04:11:29ZzhoEditorial Department of Journal of Library and Information Science in AgricultureNongye tushu qingbao xuebao1002-12482020-04-01324687610.13998/j.cnki.issn1002-1248.2019.10.22-0933Research on Digital Village Micro-observation Model Based on Entropy Weight MethodSHEN Yuanyuan, WU Jinwen, LI Dan01.The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou 510630; ;2. School of Economics and Management, South China Normal University, Guangzhou 510006[Purpose / Significance] Through the research on the personal informatization indicators of rural residents,this article constructs a measurement model of digital rural personal information,which can reveal the internal information behavior of individuals more comprehensively and profoundly, and understand the demands and opinions of rural residents on informatized public services. [Method / Process] According to the current situation of digital rural informatization construction in China, this paper firstly uses the entropy weight method to calculate and select the informatization micro-observation index, and determines the measurement index model. Then by combining with the questionnaire data, we study and evaluate the personal informatization level of rural residents in China. [Results / Conclusions] The entropy weight method determines the weight of indicators, which can fully reflect the status of rural residents' information development level. The results show that we should raise the awareness of information and expand the channels for villagers to obtain information.http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2020-4-68.pdfrural revitalization|entropy weight method|digital village|information level measurement |
| spellingShingle | SHEN Yuanyuan, WU Jinwen, LI Dan Research on Digital Village Micro-observation Model Based on Entropy Weight Method Nongye tushu qingbao xuebao rural revitalization|entropy weight method|digital village|information level measurement |
| title | Research on Digital Village Micro-observation Model Based on Entropy Weight Method |
| title_full | Research on Digital Village Micro-observation Model Based on Entropy Weight Method |
| title_fullStr | Research on Digital Village Micro-observation Model Based on Entropy Weight Method |
| title_full_unstemmed | Research on Digital Village Micro-observation Model Based on Entropy Weight Method |
| title_short | Research on Digital Village Micro-observation Model Based on Entropy Weight Method |
| title_sort | research on digital village micro observation model based on entropy weight method |
| topic | rural revitalization|entropy weight method|digital village|information level measurement |
| url | http://nytsqb.aiijournal.com/fileup/1002-1248/PDF/1002-1248-2020-4-68.pdf |
| work_keys_str_mv | AT shenyuanyuanwujinwenlidan researchondigitalvillagemicroobservationmodelbasedonentropyweightmethod |