With the expanding popularity of information technology in China, there is an increasing interaction with government to business (G2B) information technology systems. Therefore it is more important to measure the success of G2B information technology systems. This paper discusses some important information systems (IS) success model research and provides an empirical test of the Delone and Mclean IS success model in G2B contexts. The IS success model consists of information quality, system quality, use, user satisfaction, and organizational perceived net benefit. The case study of the key pollution source monitoring system (KPSMS) in Hubei Province was applied and the data was collected from the 126 users using the KPSMS. The results reveal that the use of the KPSMS corresponds to both information quality and the system quality, and the system quality provided the greater contribution when it comes to the system's application.
{"title":"Assessing Information Technology Systems in the Environmental Arena of China: A Validation of the Delone and Mclean Information Systems Success Model","authors":"Xinli Hu, Kaisong Wu","doi":"10.1145/2912160.2912165","DOIUrl":"https://doi.org/10.1145/2912160.2912165","url":null,"abstract":"With the expanding popularity of information technology in China, there is an increasing interaction with government to business (G2B) information technology systems. Therefore it is more important to measure the success of G2B information technology systems. This paper discusses some important information systems (IS) success model research and provides an empirical test of the Delone and Mclean IS success model in G2B contexts. The IS success model consists of information quality, system quality, use, user satisfaction, and organizational perceived net benefit. The case study of the key pollution source monitoring system (KPSMS) in Hubei Province was applied and the data was collected from the 126 users using the KPSMS. The results reveal that the use of the KPSMS corresponds to both information quality and the system quality, and the system quality provided the greater contribution when it comes to the system's application.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133495062","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}
Due to the unavailability of an effective architecture in central government in informatization management, local governments have encountered a number of institutional dilemmas in the process of informatization, resulting in inefficient coordination among departments, strong randomness, repeated construction in informatization development, ineffective information sharing and difficulties in deepening the applications. Through the case study from Shanghai, this paper argues that the development of chief information officer (CIO) system might be a solution to solve above problems and current institutional dilemmas so as to promote effective coordination among departments.
{"title":"Institutional Dilemmas and the Development of Chief Information Officer System: a case from Shanghai","authors":"Xinping Liu","doi":"10.1145/2912160.2912208","DOIUrl":"https://doi.org/10.1145/2912160.2912208","url":null,"abstract":"Due to the unavailability of an effective architecture in central government in informatization management, local governments have encountered a number of institutional dilemmas in the process of informatization, resulting in inefficient coordination among departments, strong randomness, repeated construction in informatization development, ineffective information sharing and difficulties in deepening the applications. Through the case study from Shanghai, this paper argues that the development of chief information officer (CIO) system might be a solution to solve above problems and current institutional dilemmas so as to promote effective coordination among departments.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133506329","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, S. Sheetz, Hamida Skandrani, J. Tedesco, Yue Sun, E. Fox
Citizen participation is a key factor in open government and a fundamental form of collective problem solving in democratic societies. Citizens need reliable information to support collective sense making and decision-making. During crises, such as political uprisings, reliable information sources are essential for citizens to stay informed and make sense of rapidly changing developments. In countries that exert control over media, citizens try to access alternative information sources, such as unfiltered Internet and social media. Using two rounds of online surveys with young adults in Tunisia, we examined the use of diverse media during the 2011 revolution. Our survey results show that higher perceptions of information reliability, along with the sharing of online information, lead to greater political information efficacy (PIE). Prior studies show higher PIE associated with greater democratic participation, which bodes well for collaborative decision-making in the nascent democracy in this North African state.
{"title":"The Use and Impact of Social Media during the 2011 Tunisian Revolution","authors":"Andrea L. Kavanaugh, S. Sheetz, Hamida Skandrani, J. Tedesco, Yue Sun, E. Fox","doi":"10.1145/2912160.2912175","DOIUrl":"https://doi.org/10.1145/2912160.2912175","url":null,"abstract":"Citizen participation is a key factor in open government and a fundamental form of collective problem solving in democratic societies. Citizens need reliable information to support collective sense making and decision-making. During crises, such as political uprisings, reliable information sources are essential for citizens to stay informed and make sense of rapidly changing developments. In countries that exert control over media, citizens try to access alternative information sources, such as unfiltered Internet and social media. Using two rounds of online surveys with young adults in Tunisia, we examined the use of diverse media during the 2011 revolution. Our survey results show that higher perceptions of information reliability, along with the sharing of online information, lead to greater political information efficacy (PIE). Prior studies show higher PIE associated with greater democratic participation, which bodes well for collaborative decision-making in the nascent democracy in this North African state.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115340623","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: Reflections on Digital Government Research and Practice","authors":"T. Pardo, Soon Ae Chun","doi":"10.1145/3254105","DOIUrl":"https://doi.org/10.1145/3254105","url":null,"abstract":"","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114331462","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}
With the recently released mandate listing open data as one of ten key national projects for big data development, open data is rapidly growing in China. More than 15 open data portals have been launched in the past few years and couple of major cities including Beijing and Shanghai have run open data competitions to form local open data ecosystem. While there were successful stories, local governments in China face many challenges such as lack of clear guidance on what data could be open, how to secure departments' buy-in, and how to track the usage of open data. This panel thus aims to bring in front-line open data practitioners to share experience and exchange knowledge in tackling those challenges and explore possible new interventions.
{"title":"Open Government Data in China: Lesson Learnt and New Approaches","authors":"Feng Gao","doi":"10.1145/2912160.2912219","DOIUrl":"https://doi.org/10.1145/2912160.2912219","url":null,"abstract":"With the recently released mandate listing open data as one of ten key national projects for big data development, open data is rapidly growing in China. More than 15 open data portals have been launched in the past few years and couple of major cities including Beijing and Shanghai have run open data competitions to form local open data ecosystem. While there were successful stories, local governments in China face many challenges such as lack of clear guidance on what data could be open, how to secure departments' buy-in, and how to track the usage of open data. This panel thus aims to bring in front-line open data practitioners to share experience and exchange knowledge in tackling those challenges and explore possible new interventions.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114780365","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}
By using the lens of information science discipline, this study proposes to explore the information behaviors of government officials engaging in implementing open data initiatives. Specifically, this research plans to investigate how related information needs are raised, how information-seeking activities are activated, what information sources are utilized, what processes of information seeking exist, and how obtained information is processed and used to implement open data. This study is expected to provide both theoretical and practical insights.
{"title":"Exploring the Information Behaviors of Government Officials in Open Data Initiatives","authors":"Tung-Mou Yang, Yi-Jung Wu","doi":"10.1145/2912160.2912225","DOIUrl":"https://doi.org/10.1145/2912160.2912225","url":null,"abstract":"By using the lens of information science discipline, this study proposes to explore the information behaviors of government officials engaging in implementing open data initiatives. Specifically, this research plans to investigate how related information needs are raised, how information-seeking activities are activated, what information sources are utilized, what processes of information seeking exist, and how obtained information is processed and used to implement open data. This study is expected to provide both theoretical and practical insights.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117034636","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: Mixed Topics: Emerging Topics + Internet Plus Government + Organizational Factor","authors":"K. Mossberger","doi":"10.1145/3254107","DOIUrl":"https://doi.org/10.1145/3254107","url":null,"abstract":"","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116477072","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 poster will present our work in progress in the development of a Group Decision Support System framework to build more resilient cities pursuing more efficient and secure emergency management systems. Our current efforts focus on the resilience of coastal cities to storms, typhoons or hurricanes. We build on previous efforts of the US Army Corps of Engineers.
{"title":"Smart Cities and City Resilience: Building Capabilities for Emergency Management","authors":"Xiaoyi Zhao, Yumei Chen, L. Luna-Reyes","doi":"10.1145/2912160.2912228","DOIUrl":"https://doi.org/10.1145/2912160.2912228","url":null,"abstract":"This poster will present our work in progress in the development of a Group Decision Support System framework to build more resilient cities pursuing more efficient and secure emergency management systems. Our current efforts focus on the resilience of coastal cities to storms, typhoons or hurricanes. We build on previous efforts of the US Army Corps of Engineers.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124065851","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, R. Sandoval, Marie Anne Macadar Moron
{"title":"Session details: Social Media and Government (IV)","authors":"Andrea L. Kavanaugh, R. Sandoval, Marie Anne Macadar Moron","doi":"10.1145/3254113","DOIUrl":"https://doi.org/10.1145/3254113","url":null,"abstract":"","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128465111","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}
Social media provides platforms to communicate with large populations and creates a favorable environment exploit the benefit of having access to millions of users. Despite the broad interest, there is insufficient research on aspects of social media use, and very limited empirical research examining the social media within the public sector. In this study, we present a social media user behavior model as a function of different user types, i.e. light, heavy and automated users. In the model, different user types exhibit varying social media knowledge behaviors driven from different motivations, interests, and goals. The users' knowledge behaviors are analyzed in terms of knowledge creation, framing and targeting. Data of 160,000 tweets by nearly 40,000 twitter users during the year of 2014 for the city of Newark (NJ, USA) was collected and analyzed. The findings imply that 1) Light users reuse an existing content more often while heavy and automated users create an original content more often; 2) Per user, the automated users frame more than the heavy users who frame more than the light users; and 3) Light users tends to target a specific audience or specific locale while heavy and automated users broadcast to general audience rather than a specific targeted one.
{"title":"Social Media User Behavior Analysis in E-Government Context","authors":"Daphna Shwartz-Asher, Soon Ae Chun, N. Adam","doi":"10.1145/2912160.2912188","DOIUrl":"https://doi.org/10.1145/2912160.2912188","url":null,"abstract":"Social media provides platforms to communicate with large populations and creates a favorable environment exploit the benefit of having access to millions of users. Despite the broad interest, there is insufficient research on aspects of social media use, and very limited empirical research examining the social media within the public sector. In this study, we present a social media user behavior model as a function of different user types, i.e. light, heavy and automated users. In the model, different user types exhibit varying social media knowledge behaviors driven from different motivations, interests, and goals. The users' knowledge behaviors are analyzed in terms of knowledge creation, framing and targeting. Data of 160,000 tweets by nearly 40,000 twitter users during the year of 2014 for the city of Newark (NJ, USA) was collected and analyzed. The findings imply that 1) Light users reuse an existing content more often while heavy and automated users create an original content more often; 2) Per user, the automated users frame more than the heavy users who frame more than the light users; and 3) Light users tends to target a specific audience or specific locale while heavy and automated users broadcast to general audience rather than a specific targeted one.","PeriodicalId":270321,"journal":{"name":"Proceedings of the 17th International Digital Government Research Conference on Digital Government Research","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130765470","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}
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