[1] MIT TECH REVIEW. A flood of coronavirus apps are tracking us[EB/OL].[2022-05-02]. https://www.technologyreview.com/2020/05/07/1000961/launching-mittr-covid-tracing-tracker/.
[2] 史晨,马亮.协同治理、技术创新与智慧防疫——基于"健康码"的案例研究[J].党政研究,2020(4):1-15.
[3] MIT TECHNOLOGY REVIEW. 10 breakthrough technologies 2021[EB/OL].[2022-05-26]. https://www.technologyreview.com/2021/02/24/1014369/10-breakthrough-technologies-2021/.
[4] TOM-ABA D,NGUKU P M,ARINZE C C, et al. Assessing the concepts and designs of 58 mobile apps for the management of the 2014-2015 West Africa Ebola outbreak:systematic review[J]. JMIR public health and surveillance,2018,4(4):e68.
[5] LITTMAN-QUINN R,CHANDRA A,SCHWARTZ A, et al. MHealth applications for telemedicine and public health intervention in Botswana[C]//2011 IST-Africa conference proceedings. IEEE:Piscataway, 2011.
[6] GAROUSI V,CUTTING D,FELDERER M. Mining user reviews of COVID contact-tracing apps:an exploratory analysis of nine European apps[J]. Journal of systems and software,2022, 184:111136.
[7] 石菲.数字技术应对疫情,我国全面信息化转型加速[J].中国信息化,2020(2):20-24.
[8] 方兴东,严峰."健康码"背后的数字社会治理挑战研究[J].人民论坛·学术前沿,2020(16):78-91.
[9] GARRETT P M,WHITE J P,LEWANDOWSKY S, et al. The acceptability and uptake of smartphone tracking for COVID-19 in Australia[J]. Plos one,2021,16(1):e0244827.
[10] WALRAVE M,WAETERLOOS C,PONNET K. Ready or not for contact tracing?investigating the adoption intention of COVID-19 contact-tracing technology using an extended unified theory of acceptance and use of technology model[J]. Cyberpsychology, behavior, and social networking,2021,24(6):377-383.
[11] ABUEG M,HINCH R,WU N, et al. Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington State[J]. NPJ digital medicine,2021,4(1):1-10.
[12] VENKATESH V,MORRIS M G,DAVIS G B, et al. User acceptance of information technology:toward a unified view[J]. MIS quarterly,2003,27(3):425-478.
[13] DWIVEDI Y K,RANA N P,JEYARAJ A, et al. Re-examining the unified theory of acceptance and use of technology (UTAUT):towards a revised theoretical model[J]. Information systems frontiers,2019,21(3):719-734.
[14] 窦凯丽.慢病患者移动技术接受度模型的设计与实践[D].杭州:浙江大学, 2018.
[15] FISHBEIN M, AJZEN I. Belief, attitude, intention, and behavior:an introduction to theory and research[J]. Philosophy and rhetoric, 1977, 10(2):130-132.
[16] AJZEN I. The theory of planned behavior, organizational behavior and human decision processes[J]. Journal of lsure research,1991,50(2):176-211.
[17] DAVIS F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS quarterly,1989,13(3):319-340.
[18] WILLIAMS M D,RANA N P,DWIVEDI Y K. The unified theory of acceptance and use of technology (UTAUT):a literature review[J]. Journal of enterprise information management,2015,28(3):443-488.
[19] CARTER L,WEERAKKODY V,PHILLIPS B, et al. Citizen adoption of e-government services:exploring citizen perceptions of online services in the United States and United Kingdom[J]. Information systems management,2016,33(2):124-140.
[20] DWIVEDI Y K,SHAREEF M A,SIMINTIRAS A C, et al. A generalised adoption model for services:a cross-country comparison of mobile health (m-health)[J]. Government information quarterly,2016,33(1):174-187.
[21] KURFALI M,ARIFOGLU A,TOKDEMIR G, et al. Adoption of e-government services in Turkey[J]. Computers in human behavior,2017,66:168-178.
[22] 卡斯特.网络社会的崛起[M].夏铸九,译.3版.北京:社会科学文献出版社,2006.
[23] 徐晓林,周立新.数字治理在城市政府善治中的体系构建[J].管理世界,2004(11):140-141.
[24] 中工网.构建民众参与的数字治理模式[EB/OL].[2022-06-12]. http://theory.workercn.cn/253/201811/24/181124085904617.shtml.
[25] TRANG S,TRENZ M,WEIGER W H, et al. One app to trace them all?examining app specifications for mass acceptance of contact-tracing apps[J]. European journal of information systems,2020,29(4):415-428.
[26] ABELER J,BÄCKER M,BUERMEYER U, et al. COVID-19 contact tracing and data protection can go together[J]. JMIR mHealth and uHealth,2020,8(4):e19359.
[27] MARTINEZ-MARTIN N,WIETEN S,MAGNUS D, et al. Digital contact tracing, privacy, and public health[J]. Hastings center report,2020,50(3):43-46.
[28] SHU Q,TU Q,WANG K. The impact of computer self-efficacy and technology dependence on computer-related technostress:a social cognitive theory perspective[J]. International journal of human-computer interaction,2011,27(10):923-939.
[29] JOO J,SHIN M M. Resolving the tension between full utilization of contact tracing app services and user stress as an effort to control the COVID-19 pandemic[J]. Service business,2020,14(4):461-478.
[30] WANG K,SHU Q,TU Q. Technostress under different organizational environments:an empirical investigation[J]. Computers in human behavior,2008,24(6):3002-3013.
[31] 陈玲.数字信任和技术秩序:重塑智能时代的信任[J].装饰,2022(1):22-25.
[32] 杨庆峰.健康码、人类深度数据化及遗忘伦理的建构[J].探索与争鸣,2020(9):123-129,160-161.
[33] KING UNIVERSITY ONLINE. Technostress:this is your brain on computer screens[EB/OL].[2022-05-02]. https://online.king.edu/news/technostress/.
[34] OLDEWEME A,MÄRTINS J,WESTMATTELMANN D, et al. The role of transparency, trust, and social influence on uncertainty reduction in times of pandemics:empirical study on the adoption of COVID-19 tracing apps[J]. Journal of medical Internet research,2021,23(2):e25893.
[35] 邢荧筱.态度在技术使用行为中的作用机制研究[D].杭州:浙江大学, 2011.
[36] RICHARDSON J G,TRAFIMOW D,MADSON L. Future health-related behavioral intention formation:the role of affect and cognition[J]. The journal of social psychology,2012,152(6):775-779.
[37] TURNER M,KITCHENHAM B,BRERETON P, et al. Does the technology acceptance model predict actual use?a systematic literature review[J]. Information and software technology,2010,52(5):463-479.
[38] AGUDO-PEREGRINA Á F,HERNÁNDEZ-GARCÍA Á,PASCUAL-MIGUEL F J. Behavioral intention, use behavior and the acceptance of electronic learning systems:differences between higher education and lifelong learning[J]. Computers in human behavior,2014,34:301-314.
[39] TSAI H-T,CHIEN J-L,TSAI M-T. The influences of system usability and user satisfaction on continued Internet banking services usage intention:empirical evidence from Taiwan[J]. Electronic commerce research,2014,14(2):137-169.
[40] O'CALLAGHAN M E,BUCKLEY J,FITZGERALD B, et al. A national survey of attitudes to COVID-19 digital contact tracing in the Republic of Ireland[J]. Irish journal of medical science,2021,190(3):863-887.
[41] GUILLON M,KERGALL P. Attitudes and opinions on quarantine and support for a contact-tracing application in France during the COVID-19 outbreak[J]. Public health,2020,188:21-31.
[42] 张晓,鲍静.数字政府即平台:英国政府数字化转型战略研究及其启示[J].中国行政管理,2018(3):27-32.
[43] REDMILES E M. User concerns&tradeoffs in technology-facilitated COVID-19 response[J]. Digital government:research and practice,2020,2(1):1-12.
[44] HOEHLE H,VENKATESH V. Mobile application usability:conceptualization and instrument development[J]. MIS quarterly,2015,39(2):435-472.
[45] CHAN F K,THONG J Y,VENKATESH V, et al. Modeling citizen satisfaction with mandatory adoption of an e-government technology[J]. Journal of the Association for Information Systems,2010,11(10):519-549.
[46] LIU Y, LI H, KOSTAKOS V, et al. An empirical investigation of mobile government adoption in rural China:a case study in Zhejiang Province[J]. Government information quarterly,2014,31(3):432-442.
[47] DUAN S X,DENG H. Hybrid analysis for understanding contact tracing apps adoption[J]. Industrial management&data systems,2021,1221(7):1599-1616.
[48] ALTHUNIBAT A,ZAIN N A M,ASHAARI N S. Modelling the factors that influence mobile government services acceptance[J]. African journal of business management,2011,5(34):13030-13043.
[49] SHARMA S,SINGH G,SHARMA R, et al. Digital health innovation:exploring adoption of COVID-19 digital contact tracing apps[J]. IEEE transactions on engineering management,2020:1-17.
[50] JASIMUDDIN S M,MISHRA N,ALMURAQAB N A S. Modelling the factors that influence the acceptance of digital technologies in e-government services in the UAE:a PLS-SEM approach[J]. Production planning&control,2017,28(16):1307-1317.
[51] OFFICE OF THE PREMIER. Millions across canada now using made-in-ontario covid alert app[EB/OL].[2022-05-08]. https://news.ontario.ca/en/release/58831/millions-across-canada-now-using-made-in-ontario-covid-alert-app.
[52] BERNACKI E. Covid19 as wicked problem-solving:did your country change behaviours and make people laugh?[EB/OL].[2022-05-08]. https://www.linkedin.com/pulse/covid19-wicked-problem-solving-did-your-country-change-ed-bernacki/.
[53] TAIWO A A, DOWNE A G, LOKE S P. Behavioral intention towards e-government in Malaysia:a structural equation modeling approach[J]. International journal of electronic government research, 2014, 10(2):8-21.
[54] 钟伟军.公民即用户:政府数字化转型的逻辑、路径与反思[J].中国行政管理,2019(10):51-55.
[55] CARTER L,WEERAKKODY V. E-government adoption:a cultural comparison[J]. Information systems frontiers,2008,10(4):473-482.
[56] RAGNEDDA M. The third digital divide:a weberian approach to digital inequalities[M].New York:Routledge, 2017.
[57] ARMBRECHT A. 4 reasons 4 billion people are still offline[EB/OL].[2022-04-30]. https://www.weforum.org/agenda/2016/02/4-reasons-4-billion-people-are-still-offline/.
[58] 张成福,谢侃侃.数字化时代的政府转型与数字政府[J].行政论坛,2020,27(6):34-41.
[59] LIPPERT S K,FORMAN H. A supply chain study of technology trust and antecedents to technology internalization consequences[J]. International journal of physical distribution&logistics management,2006,36(4):271-288.
[60] 赛博研究院.加快构建数字信任体系,赋能数字经济发展[EB/OL].[2022-05-07]. http://www.sicsi.org.cn/Home/index/look/id/540/type/%E4%BA%A7%E4%B8%9A%E7%A0%94%E7%A9%B6.
[61] BENGIO Y,JANDA R,YU Y W, et al. The need for privacy with public digital contact tracing during the COVID-19 pandemic[J]. The lancet digital health,2020,2(7):e342-e344.
[62] Effective configurations of a digital contact tracing app:a report to NHSX[EB/OL].[2022-05-07]. https://cdn.theconversation.com/static_files/files/1009/Report_-_Effective_App_Configurations.pdf?1587531217.
[63] LIU C,GRAHAM R. Making sense of algorithms:relational perception of contact tracing and risk assessment during COVID-19[J]. Big data&society,2021,8(1):1-13.
[64] MELLO M M,WANG C J. Ethics and governance for digital disease surveillance[J]. Science,2020,368(6494):951-954.
[65] KOZYREVA A,LORENZ-SPREEN P,LEWANDOWSKY S, et al. Psychological factors shaping public responses to COVID-19 digital contact tracing technologies in Germany[J]. Scientific reports,2021,11(1):1-19.
[66] RIEMER K,CIRIELLO R,PETER S, et al. Digital contact-tracing adoption in the COVID-19 pandemic:IT governance for collective action at the societal level[J]. European journal of information systems,2020,29(6):731-745.
[67] 徐彪.公共危机事件后的政府信任修复[J].中国行政管理,2013(2):31-35.
[68] 黄懿慧,王啸,方慧妍,等.政府信任对公共健康风险管理的影响——基于长生生物疫苗事件的创设情境研究[J].公共管理学报,2019, 16(4):83-95,172-173.
[69] BLAIR R A,MORSE B S,TSAI L L. Public health and public trust:survey evidence from the Ebola Virus Disease epidemic in Liberia[J]. Social science&medicine,2017,172:89-97.
[70] MUNZERT S,SELB P,GOHDES A, et al. Tracking and promoting the usage of a COVID-19 contact tracing app[J]. Nature human behaviour,2021,5(2):247-255.
[71] LEWANDOWSKY S,DENNIS S,PERFORS A, et al. Public acceptance of privacy-encroaching policies to address the COVID-19 pandemic in the United Kingdom[J]. Plos one,2021,16(1):e0245740.
[72] SHARMA R,YETTON P. The contingent effects of training, technical complexity, and task interdependence on successful information systems implementation[J]. MIS quarterly,2007,31(2):219-238.
[73] 罗晓兰,李明.组织视角下图书馆员新技术压力实证研究[J].图书情报工作,2016,60(13):33-39,46.
[74] FAN L,LIU X,WANG B, et al. Interactivity, engagement, and technology dependence:understanding users'technology utilisation behaviour[J]. Behaviour&information technology,2017,36(2):113-124.
[75] TUREL O. Quitting the use of a habituated hedonic information system:a theoretical model and empirical examination of Facebook users[J]. European journal of information systems,2015,24(4):431-446.
[76] WEIL M M,ROSEN L D. Technostress:coping with technology@work@home@play[M]. New York:J. Wiley, 1997.
[77] TARAFDAR M,TU Q,RAGU-NATHAN B S, et al. The impact of technostress on role stress and productivity[J]. Journal of management information systems,2007,24(1):301-328.
[78] ARNETZ B B,WIHOLM C. Technological stress:psychophysiological symptoms in modern offices[J]. Journal of psychosomatic research,1997,43(1):35-42.
[79] CALIFF C B,SARKER S,SARKER S. The bright and dark sides of technostress:a mixed-methods study involving healthcare IT[J]. MIS quarterly,2020,44(2):809-856.
[80] IBRAHIM R,BAKAR A A,NOR S B M. Techno stress:a study among academic and non academic staff[C]//EHAWC. Berlin:Springer, 2007.
[81] BÉLANGER F,CARTER L. Trust and risk in e-government adoption[J]. The journal of strategic information systems,2008,17(2):165-176.
[82] BHATTACHERJEE A,PEROLS J,SANFORD C. Information technology continuance:a theoretic extension and empirical test[J]. Journal of computer information systems,2008,49(1):17-26.
[83] 温忠麟,叶宝娟.中介效应分析:方法和模型发展[J].心理科学进展,2014,22(5):731-745.
[84] TOMCZYK S,BARTH S,SCHMIDT S, et al. Utilizing health behavior change and technology acceptance models to predict the adoption of COVID-19 contact tracing apps:cross-sectional survey study[J]. Journal of medical Internet research,2021,23(5):e25447.
[85] BISH A,MICHIE S. Demographic and attitudinal determinants of protective behaviours during a pandemic:a review[J]. British journal of health psychology,2010,15(4):797-824.
[86] WESTON D,HAUCK K,AMLÖT R. Infection prevention behaviour and infectious disease modelling:a review of the literature and recommendations for the future[J]. BMC public health,2018,18(1):1-16.
[87] 牛春华,江志欣.重大公共安全事件防控的风险沟通:整合框架与可能路径[J].兰州大学学报(社会科学版),2020,48(2):25-37.
[88] WHITE K,SIMPSON B. When do (and don't) normative appeals influence sustainable consumer behaviors?[J]. Journal of marketing,2013,77(2):78-95.
[89] WHITE K,PELOZA J. Self-benefit versus other-benefit marketing appeals:their effectiveness in generating charitable support[J]. Journal of marketing,2009,73(4):109-124.
[90] BRIZ-PONCE L,GARCÍA-PEALVO F J. An empirical assessment of a technology acceptance model for apps in medical education[J]. Journal of medical systems,2015,39(11):1-5.
[91] 吴金华,剧晓红.新冠肺炎疫情对我国信息素养培养的影响及思考[J].图书与情报,2021(2):84-90.
[92] 刘冰,肖高飞,霍亮.重大突发疫情风险研判与决策柔性协同机制研究:基于信息聚合与知识发现[J].图书与情报,2021(5):1-8.
[93] 朱建华,李荣强.信息贫困视角下数字技能对农村居民收入增长的影响研究——基于县级横截面数据的实证分析[J].图书与情报,2022(1):91-100.
[94] 国际货币基金组织.弥合数字鸿沟,推动新冠疫情后的经济复苏[EB/OL].[2022-03-03]. https://www.imf.org/zh/News/Articles/2020/11/06/blog-bridging-digital-divide-to-scale-up-covid19-recovery.
[95] MCKNIGHT D H,CARTER M,THATCHER J B, et al. Trust in a specific technology:an investigation of its components and measures[J]. ACM transactions on management information systems,2011,2(2):1-25.
[96] 王瑞,袁勤俭.数字时代背景下国家信息安全管理研究的关键问题[J].图书与情报,2022(1):32-38.