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1.
Over the last few decades, businesses have developed sophisticated information systems that allow the capture of vast amounts of data. Such data can be potentially useful for enabling government authorities to improve their processes and services. For example, access to business documents and track and trace information associated with supply chain activities is of great interest to customs administrations. Such information holds the potential to make customs risk assessment processes more efficient and effective and to enable faster clearance of goods crossing borders. Businesses, however, are often not willing to voluntarily share information with the government beyond what is strictly mandated to be shared by law (e.g. submitting customs declarations). There is only limited academic research and a general lack of understanding amongst practitioners about how voluntary business-government information sharing can be achieved. In this study, we present a framework to analyse the barriers, drivers, and enablers of voluntary business-government information sharing and the governance processes that make such voluntary information sharing possible. Our analysis shows that voluntary business-government information sharing can succeed when there are strong drivers and a government agency willing to take the lead in initiating the process.  相似文献   

2.
The adoption of e-Customs platforms to simultaneously ensure regulatory compliance and to facilitate trade is a major strategic issue for governments and customs administrations worldwide. It ensures a more cost-efficient usage of resources while preserving a smooth flow of goods across international borders. Hence, customs administrations are challenged to favor the introduction of IT systems that may enhance the ability to improve information sharing with the business sector, as well as with other governmental agencies. This is often not a straightforward process. As many experts point out, e-Government development projects fail commonly due to the lack of thorough understanding of administration requirements as well as barriers for implementation. Hence, the purpose of this study is to understand what factors enable or hinder the exploitation of e-Customs platforms. By means of a Systematic Literature Review (SLR), a theoretical framework is developed to identify drivers and barriers for usage of e-Government/e-Customs platforms. Thereby, a survey instrument was developed and data was collected in occasion of a World Customs Organization (WCO) Annual Council meeting, which was joined by around 400 customs delegates and officers from 178 WCO member administrations. A total of 94 questionnaires have been collected and analyzed, which gives an approximate response rate of 23% (46% considering only the 178 member administrations). The analysis of data has been performed by a combination of multivariate techniques and ANOVA. Results show that factors like cost-savings and ease of use significantly influence the usage of e-Customs platforms. On the contrary, cost-efficiency and usefulness of e-Customs platforms have no significant impacts. From the perspective of barriers preventing adoption, this paper identifies two main factors: 1) technical constraints and costs and 2) quality and trust. Both these factors significantly influence adoption of information sharing, in the context of business-customs communication.  相似文献   

3.
Government agencies collect large amounts of structured and unstructured data. Although these data can be used to improve services as well as policy processes, it is not always clear how to analyze the data and how to glean insights for policy making, especially when the data includes large volumes of unstructured text data. This article reports opinions found in “We the People” petition data using topic modeling and visual analytics. It provides an assessment of the usability of the visual analytics results for policy making based on interviews with data professionals and policy makers. We found that visual analytics have potentially positive impacts on policy making practices. Experts also articulated potential barriers regarding the adoption of visual analytics tools, and made suggestions. Potential barriers included insufficient resources in government agencies and difficulty integrating analytics with current work practices. The main suggestions involved providing training and interpretation guidelines along with the visual analytics tools. Major contributions of this study include: (1) suggesting viable visualization tools for analyzing textual data for policy making, and (2) suggesting how to lower barriers to adoption by increasing usability.  相似文献   

4.
A theoretical framework for big data analytics-enabled customer agility and responsiveness was developed from extant IS research. In on-demand service environments, customer agility involves dynamic capabilities in sensing and responding to citizens. Using this framework, a case study examined a large city government's 311 on-demand services which had leveraged big data analytics. While we found the localized big data analytics use by some of the 22 departments for enhanced customer agility and on-demand 311 services, city-wide systemic change in on-demand service delivery through big data analytics use was not evident. From the case study we identified key institutional mechanisms for linking customer agility to public value creation through 311 services. We posit how systemic use of big data analytics embedded into critical processes enables the government to co-create public values with citizens through 311 on-demand services, indicating the importance of creating a culture of analytics driven by strong political leadership.  相似文献   

5.
Public value creation is traditionally considered as the citizens' collective expectations with respect to government and public services. Recent e-government literature indicates that what exactly constitutes public value in digital government is still debated. Whereas previous research acknowledges aspects such as co-production and the orchestration role of government in the context of public value creation, there is only a limited understanding of how public value is created by the interactions between government and business actors, and the role digital technologies play in that process. Furthermore, so far, research into public value creation processes is limited to specific services that aim to meet a specific goal; for a more complete view, an integrative perspective is required to address the multiplicity of goals. Societal challenges including climate change, sustainability, and the transition towards circularity will require governments to play a crucial role. Businesses are also transforming their vision by adding societal goals to their economic objectives and contributing to these societal challenges. This necessitates even more the need to explicitly consider the role of business in public value creation processes. In this paper we argue that there is a need to understand public value creation as an interactive process, involving both government and business actors. In this process, voluntary information sharing enabled by digital infrastructures has the potential to contribute to the value creation processes, but the increased complexity of digital technologies obscures the effects they can have on value creation. Therefore, we develop a framework that allows to reason about public value creation as an interactive process, involving government and businesses, facilitated by voluntary information sharing. The framework also allows to reason about how the technological design choices of the underlying digital infrastructure influence this value creation process. For the framework development, we use an in-depth case study from the domain of international trade. We analyze the interactions between customs authorities and supply chain actors for jointly creating public value related to revenue collection, as well as safety and security of goods entering the European Union, using business data made available via a global blockchain-enabled infrastructure. In future research, the framework that we developed can be used to analyze more complex cases with additional public value aspects, such as sustainability and circularity.  相似文献   

6.
ABSTRACT

We introduce what user analytics can do in the first half of the paper and then illustrate how to do user analytics in the second half. In the current context, user analytics refers to a set of diverse communication research methods on uses and effects of social media. User analytics has evolved from TV ratings research to online user research. The history illustrates what data sources, measures, and analyses can be used for what types of research questions under user analytics. We discuss the similarities of and differences between user analytics and other methods of computational communication research (e.g. content mining and online experiments), and compare the strengths and weaknesses of user analytics with traditional quantitative methods (e.g. survey). Finally, we present an application study of Chinese bloggers to demonstrate how to employ user analytics methods to study the production, consumption, and effects of user-generated content.  相似文献   

7.
This study explores the use of data analytics for improving the quality of government audits through the lens of processing fluency theory as the driver behind the need for data analytics. Little is known about the benefits of data analytics to government expenditure audits in a data-rich environment. Accordingly, this study proposes a risk-based prioritization framework and applies it to the real procurement dataset of a US county. The results indicate that the framework increases the efficiency and effectiveness of identifying true duplicate payments compared to either the scanning or sampling benchmarks. Specifically, it significantly reduces the number of potential duplicate candidates that require auditor review to approximately 12% of the duplicate records. As such, it enables the capture of true duplicates in a shorter period. These results suggest that the framework offers one way to mitigate the low processing fluency effect of information overload on auditor judgment.  相似文献   

8.
In situations of crisis, governments must acknowledge that communication is a major weapon in their armoury, and can be used to convince the public to accept sometimes stringent measures, while preventing a worsening of the situation by curbing any spread of panic. Theoretically, during a pandemic, fear can be contained at reasonable levels by governments counterbalancing uncertainty with information. However, there is no empirical evidence on how the flow of information during a crisis can influence emotional states among the population. In this process, social media appears to be a valuable tool for governments to observe emotional response in a population. In the light of this and within the context of the Italian government's social media campaign #iorestoacasa (‘I'm staying at home’) launched during the Covid-19 crisis, the current study utilises text analytics to explore the relationship between government and press communication, and the level of fear expressed by citizens through more than 200 thousand #iorestoacasa tweets. The results highlight how the content of the messages evolved in the early part of the outbreak and during the social media campaign. They suggest that in Italy the discussion regarding the efforts made by the European Council to find common solutions for dealing with the emergency has prompted a positive influence on public mood. Conversely, messages about people's individual vulnerability and the associated sense of an external locus of control correlated positively with levels of fear. This study opens new ways to support government communication during a crisis by monitoring public emotional response through social media.  相似文献   

9.
Electronic government is attested to have the potential to shape public administrations to be more customer oriented. In order to be customer oriented, municipalities need knowledge about customer needs. Which municipalities explore customer needs and what do they change is investigated using data of a nationwide survey about e-government in Switzerland.  相似文献   

10.
Being among the largest creators and gatherers of data in many countries, public administrations are looking for ways to harness big data technology. However, the de facto uses of big data in the public sector remain very limited. Despite numerous studies aiming to clarify the term big data, for many public managers, it remains unclear what this technology does and does not offer public administration. Using the concept of technological frames, we explore the assumptions, expectations, and understandings that public managers possess in order to interpret and make sense of big data. We identify nine big data frames, ranging from inward-oriented techno-enthusiasts to outward-oriented techno-skeptics, each of which characterizes public managers' specific viewpoints relating to the introduction of big data in public administrations. Our findings highlight inconsistencies between different perceptions and reveal widespread skepticism among public managers, helping better understand why the de facto uses of big data in the public sector remain very limited.  相似文献   

11.
Previous research has identified a variety of barriers to digital government, and regularly emphasizes the importance of individuals that navigate institutional contexts and strategically pursue digital government solutions. This exploratory analysis investigates how these individuals understand barriers to digital government and the strategies that they apply to overcome them. Using interviews with digital champions in the U.S government, we extract the tactics employed to overcome these barriers including storytelling, community building, external validation, orientation towards citizen perspectives and a reliance on external peer networks. Results highlight the interconnected nature of barriers and the non-linear quality of strategies, and allow the construction of a theoretical model for structural and cultural barriers and strategies as experienced by digital champions. This model highlights the perceived efficacy and impact of cultural strategies, and the association of these strategies with external peer networks and citizens, and a tension in how digital champions describe actors and approaches introduced from the private sector.  相似文献   

12.
E-participation enables citizens to have an impact on policy-making through electronic means. Two of the most popular channels are social media and dedicated e-participation platforms. However, the ideas, comments, discussions of citizens on these two channels generate a lot of data to be processed by political representatives or public agents afterwards. Despite the existence of various techniques for social media analytics, literature is scarce regarding the analysis techniques to mine e-participation platforms as well as the possible combination of insights between the two channels.In order to address these gaps, we design a policy analytics framework to leverage insights from e-participation platforms and social media through relevant data analytics to support policy-making. In order to do so, we rely on the Design Science Research methodology. Through the analysis of four different cities in Belgium (Liège, Mons, Marche-en-Famenne, Leuven), we identify policy-makers' requirements and needs of information from platforms and social media. Then, we explore data analysis techniques to address those requirements. Finally, we design an actionable framework, present it as an interactive dashboard and iteratively test it on the case of Liège. This policy analytics framework supports each step of the traditional policy-making process with appropriate data analytics applied to the two sources.  相似文献   

13.
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14.
王新才  丁家友 《图书情报工作》2013,57(21):119-125,132
基于Web of Science（WoS）数据库,利用科学知识图谱工具CiteSpace、HistCite构造国外政府信息资源研究的主题、研究趋势与热点等网络,并借鉴网络科学理论及Gephi工具,对国外政府信息资源研究网络的小世界、无标度等特点进行复杂网络分析,期望有助于相关领域研究者从复杂网络的视角,探索和把握政府信息资源领域的研究脉络,并探讨一种从主题、作者、引文关系等多角度和层面进行数据分析,从而快速定位某研究领域核心知识网络的方法。  相似文献   

15.
Academic libraries are participating in the collection and analysis of student data. Under the umbrella of learning analytics, these practices are directed toward developing an understanding of how libraries contribute to student learning, the educational experience, and efficient operations of academic institutions. Learning analytics, however, is loaded with ethical issues, which are made more complex by the high ethical bar library practitioners espouse as part of their professional values. This article discusses findings from a survey of academic library practitioners. The survey identifies what ethical issues practitioners associate with learning analytics and the degree to which they are prepared to address such issues. The discussion suggests pathways forward for filling knowledge and practice gaps.  相似文献   

16.
This study presents the basic lines of electronic administration in Spain. The complexity of the Spanish political-administrative system makes such a study challenging, in view of the considerable degree of autonomy and competences of the regional administrative bodies and local agencies with respect to the central government, the former being more visible in the 17 regions of Spain. Nonetheless, the central government maintains a series of legal instruments that allow a certain common framework of action to be imposed, aside from what is put into effect through diverse programs aimed precisely to develop common tools for the regions and municipalities of Spain. After an introduction that provides some necessary background, this study describes the legislative framework in which Spain's electronic administrative system has developed. The data included in the study refer to investment in information and communication technologies (ICT) and the services offered by the different Administrations on the internet; internet access by citizens, homes, businesses, and employees, as well as the interactivity existing with administrations by means of the internet; the origins and rise of various political initiatives of the Central Government involving electronic administration; and finally, the situation of civil service personnel, as catalysts of the success of Information Society in the Public Administration within Spain.  相似文献   

17.
Public organizations often face numerous barriers when it comes to adopting and using social media to communicate and engage with the broader public. This research aims to better understand how barriers to social media adoption can be tackled by zooming in on one specific type of organization: the police. Our research answers the following question: to what effect do police forces manage barriers to the adoption of social media with social media policies? Firstly, by systematically reviewing previous studies using a typology of barriers to ICT adoption, this study identifies the types of barriers that the police are often faced with. Secondly, by qualitatively analyzing two frontrunner cases, the United Kingdom and the Netherlands, this study analyzes how social media policies address and can help overcome these barriers. The empirical analysis indicates that in addressing barriers to social media adoption, a combination of exploration and exploitation is needed to address both structural and cultural barriers to social media adoption. We argue that this fits an approach of the ‘perpetual beta’: ongoing technological innovation requires organization capacity to continuously adapt to socio-technical change.  相似文献   

18.
Artificial Intelligence is increasingly being used by public sector organisations. Previous research highlighted that the use of AI technologies in government could improve policy making processes, public service delivery and the internal management of public administrations. In this article, we explore to which extent the use of AI in the public sector impacts these core governance functions. Findings from the review of a sample of 250 cases across the European Union, show that AI is used mainly to support improving public service delivery, followed by enhancing internal management and only in a limited number assist directly or indirectly policy decision-making. The analysis suggests that different types of AI technologies and applications are used in different governance functions, highlighting the need to further in-depth investigation to better understand the role and impact of use in what is being defined the governance “of, with and by AI”.  相似文献   

19.
Given the rising number of international environmental agreements, it is increasingly difficult for many developing countries to meet the basic commitments of compliance to Multilateral Environmental Agreements (MEAs). One major reason for non-compliance is an unforced restriction on enforcement information flow to the national environmental governance repository either due to policy regulations or, technological hindrance. The purpose of this paper is to highlight the importance of a global information technology framework for MEAs that will help in enhancing the flow of information from a grassroot level to a national repository and then serving to various international agencies involved in monitoring of enforcement and compliance to MEAs. The paper defines the current challenges in global and national-level environmental information gathering and analysis and then, explains the technological and policy framework model adopted in the Wildlife Enforcement Monitoring System (WEMS). The paper then argues that the WEMS model will be able to overcome the existing challenges hindering the information flow in a government framework.  相似文献   

20.
This paper contributes to e-government research by presenting a review and discussion on how digitalization of public services has affected the interaction between citizens and government. We argue for a conceptualization and critical reflection on the nature of the underlying interaction between citizens and public officials - the public encounter - that digital public services are developed to support. We apply a qualitative and hermeneutic approach and illustrate that digital public services change public encounters concerning when, where, and how interactions occur, what each actor does, and the skills required of them. By relating these changes to emerging digital technologies (e.g. data mining, machine learning, sensor technology, and service automation), we illustrate that while these new technologies carry the potential to further digitalize service provision and fulfill the democratic goals of digital government, authorities can apply the same technology to restrict, control, and surveil citizens. Based on a critical discussion on what digitalization might entail for society, we identify problem areas arising from this development and propose a research agenda for understanding this phenomenon further. We raise questions and ethical concerns regarding accountability and reskilling of citizens and public officials as public service provision becomes citizen self-service.  相似文献   

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