Kim Normann Andersen, Jungwoo Lee, Tobias Mettler, M. J. Moon
In this paper, we take the initial steps of re-formulating the research agenda on maturity models within the government context. Critiques on maturity models in government digitalization has been collected via a systematic review of academic literature. Synthesis of the articles (n=47) has resulted in a list of ten objections and critique of maturity models. The author team of this paper has been heavily involved in pioneering and leading research on maturity models. Standing on the shoulders of this track-record, we have coinedf a possible response on how maturity models might still have an important role to play in theorizing about why, how and where government progresses in their use of digital technologies. Also, we argue that maturity models have an important role to play for practice in their navigation in a yet more multifaceted technological dependent government.
{"title":"Ten Misunderstandings about Maturity Models","authors":"Kim Normann Andersen, Jungwoo Lee, Tobias Mettler, M. J. Moon","doi":"10.1145/3396956.3396980","DOIUrl":"https://doi.org/10.1145/3396956.3396980","url":null,"abstract":"In this paper, we take the initial steps of re-formulating the research agenda on maturity models within the government context. Critiques on maturity models in government digitalization has been collected via a systematic review of academic literature. Synthesis of the articles (n=47) has resulted in a list of ten objections and critique of maturity models. The author team of this paper has been heavily involved in pioneering and leading research on maturity models. Standing on the shoulders of this track-record, we have coinedf a possible response on how maturity models might still have an important role to play in theorizing about why, how and where government progresses in their use of digital technologies. Also, we argue that maturity models have an important role to play for practice in their navigation in a yet more multifaceted technological dependent government.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114320668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Innovation of Public Service Design and Delivery in an Era of Intelligent Government","authors":"Kwangho Jung, Hyunsub Kum","doi":"10.1145/3406824","DOIUrl":"https://doi.org/10.1145/3406824","url":null,"abstract":"","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115438097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This panel is designed to respond to recent calls for research on the deeper understanding about the antecedents of citizens’ adoption of e-government and e-participation services and consequences of e-participation, and citizens’ digital engagement behaviors. Specifically, Kim and Lee raise a question of what e-government promotion and marketing strategies and tools for increasing e-government awareness actually leads to citizen's use of e-government. To answer this question, they focus on widely-used e-government awareness promotion strategies and tools such as advertisements on Internet banner, outdoor banner, mass media, brochure/booklets, and social media and their associations with three representative e-government services – weather services, tax filing services, and online petition and discussion services. Using a National Survey of E-government Usage in 2017, they report preliminary findings, discuss the theoretical and policy implications of the findings, and offer future research. Song and Lee's research primarily address a question of how and why e-participation shapes the relationships among citizens’ community engagement behaviors and their perception of public values such as transparency and citizen trust in government. To address the question, they collected survey data of Seoul residents in 2019 and employ structural equation modeling to test the relationships among citizens’ use of e-participation, community engagement behaviors, and perceived trust and transparency in government. The preliminary findings will be reported and discussed to draw their implications for policy makers and public managers as well as for e-government literature. Shi and her colleagues’ research shifts its focus to ongoing issues around citizens’ willingness to share data. In their study, Shi and her colleagues ask a question of whether citizens are more willing to share their data with government agencies or corporations in China. Using Motorbike sharing APP as a case, they use a vignette survey and design a 2 by 2 factorial experiment to investigate the research question. The effects of sector difference on citizens’ willingness to share data is studied by manipulating two factors at once: sector difference (sharing data with government agency versus with corporation), and price for using the APP (high price versus low price). Shi and her colleagues report preliminary findings and discuss their implications.
{"title":"Citizens’ Use of E-government and E-participation Applications and Public Values in Korea and China","authors":"Jooho Lee, Jing Shi","doi":"10.1145/3396956.3396977","DOIUrl":"https://doi.org/10.1145/3396956.3396977","url":null,"abstract":"This panel is designed to respond to recent calls for research on the deeper understanding about the antecedents of citizens’ adoption of e-government and e-participation services and consequences of e-participation, and citizens’ digital engagement behaviors. Specifically, Kim and Lee raise a question of what e-government promotion and marketing strategies and tools for increasing e-government awareness actually leads to citizen's use of e-government. To answer this question, they focus on widely-used e-government awareness promotion strategies and tools such as advertisements on Internet banner, outdoor banner, mass media, brochure/booklets, and social media and their associations with three representative e-government services – weather services, tax filing services, and online petition and discussion services. Using a National Survey of E-government Usage in 2017, they report preliminary findings, discuss the theoretical and policy implications of the findings, and offer future research. Song and Lee's research primarily address a question of how and why e-participation shapes the relationships among citizens’ community engagement behaviors and their perception of public values such as transparency and citizen trust in government. To address the question, they collected survey data of Seoul residents in 2019 and employ structural equation modeling to test the relationships among citizens’ use of e-participation, community engagement behaviors, and perceived trust and transparency in government. The preliminary findings will be reported and discussed to draw their implications for policy makers and public managers as well as for e-government literature. Shi and her colleagues’ research shifts its focus to ongoing issues around citizens’ willingness to share data. In their study, Shi and her colleagues ask a question of whether citizens are more willing to share their data with government agencies or corporations in China. Using Motorbike sharing APP as a case, they use a vignette survey and design a 2 by 2 factorial experiment to investigate the research question. The effects of sector difference on citizens’ willingness to share data is studied by manipulating two factors at once: sector difference (sharing data with government agency versus with corporation), and price for using the APP (high price versus low price). Shi and her colleagues report preliminary findings and discuss their implications.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126105660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Comparable to the concept of a data(-driven) enterprise, the concept of a ‘government as data (-driven) enterprise’ is gaining popularity as a data strategy. However, what it implies is unclear. The objective of this paper is to clarify the concept of the government as data (-driven) enterprise, and identify the challenges and drivers that shape future data strategies. Drawing on literature review and expert interviews, this paper provides a rich understanding of the challenges for developing sound future government data strategies. Our analysis shows that two contrary data strategies dominate the debate. On the one hand is the data-driven enterprise strategy that focusses on collecting and using data to improve or enrich government processes and services (internal orientation). On the other hand, respondents point to the urgent need for governments to take on data stewardship, so other parties can use data to develop value for society (external orientation). Since these data strategies are not mutually exclusive, some government agencies will attempt to combine them, which is very difficult to pull off. Nonetheless, both strategies demand a more data minded culture. Moreover, the successful implementation of either strategy requires mature data governance – something most organisations still need to master. This research contributes by providing more depth to these strategies. The main challenge for policy makers is to decide on which strategy best fits their agency's roles and responsibilities and develop a shared roadmap with the external actors while at the same time mature on data governance.
{"title":"Future government data strategies: data-driven enterprise or data steward?: Exploring definitions and challenges for the government as data enterprise","authors":"W. Donge, Nitesh Bharosa, M. Janssen","doi":"10.1145/3396956.3396975","DOIUrl":"https://doi.org/10.1145/3396956.3396975","url":null,"abstract":"Comparable to the concept of a data(-driven) enterprise, the concept of a ‘government as data (-driven) enterprise’ is gaining popularity as a data strategy. However, what it implies is unclear. The objective of this paper is to clarify the concept of the government as data (-driven) enterprise, and identify the challenges and drivers that shape future data strategies. Drawing on literature review and expert interviews, this paper provides a rich understanding of the challenges for developing sound future government data strategies. Our analysis shows that two contrary data strategies dominate the debate. On the one hand is the data-driven enterprise strategy that focusses on collecting and using data to improve or enrich government processes and services (internal orientation). On the other hand, respondents point to the urgent need for governments to take on data stewardship, so other parties can use data to develop value for society (external orientation). Since these data strategies are not mutually exclusive, some government agencies will attempt to combine them, which is very difficult to pull off. Nonetheless, both strategies demand a more data minded culture. Moreover, the successful implementation of either strategy requires mature data governance – something most organisations still need to master. This research contributes by providing more depth to these strategies. The main challenge for policy makers is to decide on which strategy best fits their agency's roles and responsibilities and develop a shared roadmap with the external actors while at the same time mature on data governance.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128095416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Paulin, A. Adewale, Zach Bastick, Tobias Siebenlist, Christine Meschede
{"title":"Session details: Beyond Bureaucracy: Democracy, Transparency, and Trust in the Era of Disruptive Innovation","authors":"A. Paulin, A. Adewale, Zach Bastick, Tobias Siebenlist, Christine Meschede","doi":"10.1145/3406818","DOIUrl":"https://doi.org/10.1145/3406818","url":null,"abstract":"","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"291 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121895412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Artificial Intelligence for Innovating Smart and Open Governments","authors":"Sehl Mellouli, A. Ojo, M. Janssen","doi":"10.1145/3406821","DOIUrl":"https://doi.org/10.1145/3406821","url":null,"abstract":"","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125056830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Government transparency is considered as a good indicator of good governance by enhancing the trust and accountability and reducing corruptions, thus enabling citizen participation. However, one of the challenges is its difficulty to measure the level of transparency. Unlike the transparency measured for the country level governments, this study focuses on identifying multi-dimensional determinants that contribute to measure transparency of local governments. We developed the TOES framework to model the determinants for the local government transparency, and present the data collection and integration, and regression model to identify significant factors for transparency.
{"title":"Transparency in Local Governments in Korea","authors":"Seung-Hak Shin, Dongwook Kim, Soon Ae Chun","doi":"10.1145/3396956.3396998","DOIUrl":"https://doi.org/10.1145/3396956.3396998","url":null,"abstract":"Government transparency is considered as a good indicator of good governance by enhancing the trust and accountability and reducing corruptions, thus enabling citizen participation. However, one of the challenges is its difficulty to measure the level of transparency. Unlike the transparency measured for the country level governments, this study focuses on identifying multi-dimensional determinants that contribute to measure transparency of local governments. We developed the TOES framework to model the determinants for the local government transparency, and present the data collection and integration, and regression model to identify significant factors for transparency.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132834388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Blockchain is the technology used by developers of cryptocurrencies, like Bitcoin, to enable exchange of financial ”coins” between participants in the absence of a trusted third party to insure the transaction, such as is typically done by governments. We introduce blockchains, describe their concepts, layout the challenges in using them, and discuss use cases from a governmental viewpoint. We find that a certain type of blockchain, permissionless, has not been adopted in governmental settings, and conclude that permissioned blockchains may best be suited to them due to better scalability, lack of anonymity, and better data integrity guarantees.
{"title":"Keynote: Using Blockchain to Empower Digital Government","authors":"Y. Yesha","doi":"10.1145/3396956.3399991","DOIUrl":"https://doi.org/10.1145/3396956.3399991","url":null,"abstract":"Blockchain is the technology used by developers of cryptocurrencies, like Bitcoin, to enable exchange of financial ”coins” between participants in the absence of a trusted third party to insure the transaction, such as is typically done by governments. We introduce blockchains, describe their concepts, layout the challenges in using them, and discuss use cases from a governmental viewpoint. We find that a certain type of blockchain, permissionless, has not been adopted in governmental settings, and conclude that permissioned blockchains may best be suited to them due to better scalability, lack of anonymity, and better data integrity guarantees.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"22 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113970938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrea L. Kavanaugh, Ziqian Song, Liuqing Li, E. Fox, Bethany Hsiao
Proximal communities in democratic societies comprise citizens, organizations, and governmental agencies, working together to identify and evaluate problems and opportunities in the public interest, build consensus around alternative approaches and solutions, and implement agreed upon policies. Communication and information sharing is critical to performing this collective work that involves not only face-to-face communication, but diverse media and technology whether offline (i.e., broadcast and print media) or online. We used topic modeling, social graphing and sentiment analysis to analyze information sharing behavior among individuals and organizations related to a geographic community and environs during municipal and state assembly elections in 2015. We investigate tweets, and Facebook posts and comments related to these elections as evidence for information sharing at the local level and/or of content relevant to the local community. Our findings suggest that the abundance of elections-relevant topics indicates that Twitter and FB were actively used for information sharing. The greater trust in local as opposed to non-local content and sources established in prior studies is consistent with our community level data in which sentiment expressed in our data is predominantly neutral. We argue that the greater trust in local as opposed to national sources of news, and in social media based on local social networks makes community-level groups and information sharing self-correcting and resilient, and thus, too small to fail.
{"title":"Too Small to Fail: Information Sharing Behavior in a US Municipal Election","authors":"Andrea L. Kavanaugh, Ziqian Song, Liuqing Li, E. Fox, Bethany Hsiao","doi":"10.1145/3396956.3396992","DOIUrl":"https://doi.org/10.1145/3396956.3396992","url":null,"abstract":"Proximal communities in democratic societies comprise citizens, organizations, and governmental agencies, working together to identify and evaluate problems and opportunities in the public interest, build consensus around alternative approaches and solutions, and implement agreed upon policies. Communication and information sharing is critical to performing this collective work that involves not only face-to-face communication, but diverse media and technology whether offline (i.e., broadcast and print media) or online. We used topic modeling, social graphing and sentiment analysis to analyze information sharing behavior among individuals and organizations related to a geographic community and environs during municipal and state assembly elections in 2015. We investigate tweets, and Facebook posts and comments related to these elections as evidence for information sharing at the local level and/or of content relevant to the local community. Our findings suggest that the abundance of elections-relevant topics indicates that Twitter and FB were actively used for information sharing. The greater trust in local as opposed to non-local content and sources established in prior studies is consistent with our community level data in which sentiment expressed in our data is predominantly neutral. We argue that the greater trust in local as opposed to national sources of news, and in social media based on local social networks makes community-level groups and information sharing self-correcting and resilient, and thus, too small to fail.","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114471172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Open Government Data – Maturity and Sustainability","authors":"Tobias Siebenlist, Christine Meschede","doi":"10.1145/3406825","DOIUrl":"https://doi.org/10.1145/3406825","url":null,"abstract":"","PeriodicalId":118651,"journal":{"name":"The 21st Annual International Conference on Digital Government Research","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：