[Purpose/Significance] The sustainable development of government data openness can provide adequate guarantee for the construction of sustainable digital government, and it is of great significance to explore its key influencing factors and mechanism of action. [Method/Process] This paper constructed the sustainable development index system of government data opening, identified the key influencing factors by DEMATEL method, and constructed the multi-step progressive structure model through the ISM method, and analyzed in depth the action mechanism of the key influencing factors for the sustainable development of government data openness. [Result/Conclusion] Through DEMATEL-ISM analysis, 6 surface factors, such as data search and understanding ability, data product use, and so on, 6 middle-level factors, data governance ability, data innovation and utilization ability, and so on, privacy protection, legal policy and other 4 deep factors are determined. The sustainable development of government data openness is the result of the combination of surface factors, middle-level factors and deep factors, and effective control of surface and deep factors is an effective way to promote the sustainable development of open data, and finally this paper puts forward concrete countermeasures from the aspects of data opening subjects, data environment and data resources.
[1] 王益民. 全球电子政务发展前沿与启示——《2020联合国电子政务调查报告》解读[J]. 行政管理改革, 2020(12):43-49.
[2] DAWES S S. Stewardship and usefulness:policy principles for information-based transparency[J]. Government information quarterly, 2010, 27(4):377-383.
[3] LUIS F, LUNA R, SOON A C. Open government and public participation:issues and challenges in creating public value[J]. Information polity, 2012, 17(2):77-81.
[4] XIAO F, JENG W, HE D. Investigating metadata adoptions for open government data portals in US cities[J]. Proceedings of the association for information science & technology, 2018, 55(1):573-582.
[5] TALUKDER M S, SHEN L, TALUKDER M, et al. Determinants of user acceptance and use of open government data (OGD):an empirical investigation in Bangladesh[J]. Technology in society, 2019, 56:147-156.
[6] 蔡婧璇, 黄如花. 美国政府数据开放的政策法规保障及对我国的启示[J]. 图书与情报, 2017(1):10-17.
[7] 岳丽欣, 刘文云. 我国政府数据开放保障机制的建设研究[J]. 图书情报工作, 2016, 60(19):40-48,39.
[8] 郑磊, 熊久阳. 中国地方政府开放数据研究:技术与法律特性[J]. 公共行政评论, 2017, 10(1):53-73,206.
[9] 丁红发, 孟秋晴, 王祥, 等. 面向数据生命周期的政府数据开放的数据安全与隐私保护对策分析[J]. 情报杂志, 2019, 38(7):151-159.
[10] 陈玲, 段尧清. 政府开放数据公众持续使用行为影响因素的异质性分析[J]. 情报科学, 2021, 39(6):134-142.
[11] 储节旺, 张林轩, 宫雨晨, 等. 合肥市政府数据开放平台建设及发展路径研究[J]. 数字图书馆论坛, 2021(2):11-18.
[12] 朱玲玲, 茆意宏, 朱永凤, 等. 政府数据开放准备度关键影响因素识别——以省级地方政府为例[J]. 图书情报工作, 2021, 65(3):75-83.
[13] 高天鹏, 陈晓威, 赵秀林, 等. 基于解释结构模型的我国政府数据开放影响因素分析[J]. 电子科技大学学报(社科版), 2016, 18(3):47-53.
[14] ALBANOI C S, REINHARD N. Open government data:facilitating and motivating factors for coping with potential barriers in the brazilian context[C]//Proceedings of 13th IFIP WG 8.5 international conference. Dublin:Electronic Government, 2014:181-193.
[15] ZHAO Y, FAN B. Exploring open government data capacity of government agency:based on the resource-based theory[J]. Government information quarterly, 2018, 35(1):1-12.
[16] 马海群, 张涛, 李钟隽. 新冠疫情下政府数据开放与安全的系统动力学研究[J]. 现代情报, 2020, 40(7):3-13.
[17] YANG T M, WU Y J. Examining the social-technical determinants influencing government agencies' open data publication:a study in Taiwan[J]. Government information quarterly, 2016, 33(3):378-392.
[18] 郑磊. 开放政府数据的价值创造机理:生态系统的视角[J]. 电子政务, 2015(7):2-7.
[19] 王卫, 王晶, 张梦君. 生态系统视角下开放政府数据价值实现影响因素分析[J]. 图书馆理论与实践, 2020(1):1-7.
[20] DAVENPORT T H, PRUSAK L. Information ecology:mastering the information and knowledge environment[M]. New York:Oxford University Press, 1997.
[21] 娄策群, 周承聪. 信息生态链:概念、本质和类型[J]. 图书情报工作, 2007,51(9):29-32.
[22] 赵宁, 黄铁娜, 曹洋. 信息生态链下开放政府数据价值演化的研究[J]. 图书馆, 2021(3):65-71.
[23] LUIS F. LUNA R. US open data policy:advances and recommendations[C]//Proceedings of the 19th international conference on digital government research. Delft:University At Albany, 2018:1-10.
[24] 杨正, 田进. 政府数据开放利用的政策文献计量研究——一个三维分析视角[J]. 情报杂志, 2018, 37(12):175-181.
[25] YI M. Exploring the quality of government open data:comparison study of the UK, the USA and Korea[J]. The electronic library, 2019, 1(37):35-48.
[26] 段尧清, 周密, 尚婷. 政府数据开放公众初始接受行为影响因素结构关系研究[J]. 图书情报工作, 2020, 64(2):4-12.
[27] 周霞, 王萍, 陈为东,等. 政府开放数据用户认知图式联结模型——数据故事视角[J]. 情报资料工作, 2021, 42(4):64-71.
[28] 汪应洛. 系统工程[M]. 北京:机械工业出版社, 2010.
[29] 李琦, 焦建华. 基于DEMATEL方法的微信用户满意度影响因素分析[J]. 现代情报, 2018, 38(12):114-119.
[30] 陈为公, 张娜, 张友森, 等. 基于DEMATEL-ISM的城市灾害韧性影响因素研究[J]. 灾害学, 2021, 36(1):1-6,17.
[31] 郑磊. 开放政府数据研究:概念辨析、关键因素及其互动关系[J]. 中国行政管理, 2015(11):13-18.
[32] 黄璜. 对"数据流动"的治理:论政府数据治理的理论嬗变与框架[J]. 南京社会科学,2018(2):53-62.
[33] 吴金鹏, 韩啸. 开放政府数据何以成功?——生态关系理论视角的跨国实证研究[J]. 图书馆论坛, 2020, 40(8):87-95.
[34] 门理想, 王丛虎. 中国地方政府数据开放建设成效的影响因素探究——基于生态系统理论框架[J]. 现代情报, 2021, 41(2):152-161.
[35] 曹雨佳, 黄伟群. 政府数据开放生态系统构建:以数据安全为视角[J]. 图书馆理论与实践, 2016(10):20-24,32.
[36] 袁红, 王焘. 政府开放数据生态系统可持续发展实现路径的系统动力学分析[J]. 图书情报工作, 2021, 65(17):13-25.
[37] 复旦大学数字与移动治理实验室. 中国地方政府数据开放报告(2020下半年)[EB/OL].[2022-01-12]. http://ifopendata.fudan.edu.cn/static/report/中国地方政府数据开放报告(2020下半年).pdf.
[38] 刘新萍, 袁佳蕾, 郑磊. 地方政府数据开放准备度研究:框架与发现[J]. 电子政务, 2019(9):2-11.
[39] 郑磊. 数字治理的效度、温度和尺度[J]. 治理研究, 2021, 37(2):5-16,2.
[40] 杨建梁, 刘越男. 基于DEMATEL模型的我国政府信息资源跨部门共享的关键影响因素研究[J]. 图书情报工作, 2018, 62(19):64-76.