ITM Web Conf.
Volume 60, 20242023 5th International Conference on Advanced Information Science and System (AISS 2023)
|Number of page(s)
|09 January 2024
Public Demand Oriented Quality Evaluation Model for Rainstorm Disaster Information Disclosure
1 Institute of Scientific and Technical Information of China, Engineering Center, China
2 Xi’an University of Finance and Economics, Institute of Statistics, China
3 JIANGNAN RURAL COMMERCIAL BANK, China
By investigating the current situation of information disclosure and public demand during rainstorm disaster in Henan Province, this paper builds a model of factors affecting the quality of information disclosure characterized by rainstorm disaster information based on TOE framework theory, metadata evaluation model, resource based theory and resource confirmation theory. With the help of the current situation and demand characteristics of the public’s actual information acquisition, it designs a model with information disclosure content quality, information disclosure accessibility, information disclosure process completeness 10 test dimensions of government information disclosure ability, government feedback ability, minimum information disclosure acceptance ability, information disclosure technology support ability, right to know protection ability, privacy protection ability, right to equality protection ability, and 35 test items of rainstorm disaster information disclosure quality impact factor evaluation scale. The research provides help for government information disclosure to more accurately identify public needs, provides targeted evaluation models and operable evaluation models for rainstorm disaster information quality evaluation in Henan, and provides ideas and strategies for improving rainstorm disaster information quality.
Key words: Quality of information disclosure / public demand / Rainstorm disaster / Model of influencing factors / TOE framework
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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