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1.
《Government Information Quarterly》2023,40(3):101809
A growing body of research suggests that officials in China are highly responsive to citizens' requests on e-government platforms. However, our understanding of the effects of such responsiveness in China remains limited due to the lack of research from a citizen perspective. By conducting two online survey experiments involving 205 residents of Hubei Province, China, we examined the features of government responses in the e-government context that affect citizens' perceptions of government performance. The findings show that even a delayed and unhelpful response can have a positive impact on citizens' satisfaction with the government. This effect is mediated by the level of perceived government responsiveness. Moreover, citizens are affected more by the usefulness than by the timeliness of the government's responses. These results suggest that by combining the broad implementation of e-government with a higher response quality, the Chinese government can establish a new means of gaining public support. 相似文献
2.
《Government Information Quarterly》2020,37(1):101414
In the current push for smart city programs around the world, there is a significant focus on enabling transactions between citizen and government. Though traditionally there have always been transactional elements between government and citizen, for example payment of taxes in exchange for services, or voting in exchange for representation, the rise of modern smartphone and smart city technologies have further enabled micro-transactions between citizen, government, and information broker. We conceptualize how the modern smart city, as both envisaged and enacted, incorporates the citizen not necessarily as a whole actor, but as a series of micro-transactions encoded on the real-time landscape of the city. This transactional citizen becomes counted by smart city sensors and integrated into smart city decision-making through the use of certain preferred platforms. To approach this shift from traditional forms of citizen/city interaction towards micro-transactions, we conceptualize four broad modes of transaction; type (intentional contribution), tweet (intermediated by third party), tap (convened or requested transaction), and pass (ambient transaction based on movement). These four modes are used to frame critical questions of how citizens interact with government in the emerging age of the smart city, and how these interactions impact the relationship between citizen and government, introducing new avenues for private sector influence. 相似文献
3.
Standpoint: Disappearing authors: A postmodern perspective on the practice of writing for the screen
The current study examined content-specific relationships of citizens' use of city Web sites with civic engagement. A Web-based, volunteer survey of 1,966 citizen users of city Web sites found that surveillance, practical services, and direct democracy features functioned as important conditions for citizens' real-world civic engagement. Results indicated that citizens' use of practical services and direct democracy features of city Web sites were associated with citizens' civic involvement and political behaviors. The findings suggest that the relationships between citizens' use of city Web sites and civic engagement differ according to the purpose for which citizens use the sites. The results of the current study exhibit an indication that city Web sites can promote civic engagement among citizens. 相似文献
4.
《Government Information Quarterly》2018,35(3):418-427
The gap between the approval of RTI laws and their implementation leaves room for discretionary bias and discrimination from government officials. This paper explores possible discretionary bias and ultimately discriminatory behavior exhibited by Uruguayan government agencies while answering RTI requests. We explore whether public officials are more likely to respond to requests from citizens that are informed about their right under the RTI law vs regular citizens, as well as from influential citizens (journalists and firm owners). We also assess whether public servants' responses to RTI requests are gender-biased. We conducted a randomized field experiment to test for unequal treatment given to citizens' requests by Uruguayan government officials, considering different citizen categories. We find that only those citizens who know the RTI law and invoke its existence have a greater likelihood of obtaining an answer from bureaucrats. This result is driven mostly by men's requests declaring they know the law when making their request, while invoking the law doesn't make a difference in responses to women. These findings show that public campaigns to promote citizens' awareness of RTI laws and their use, not only would increase requests, but also governments' responsiveness regarding RTI requests. 相似文献
5.
6.
《Government Information Quarterly》2022,39(4):101679
In today's global culture where the Internet has established itself as the main tool for communication and commerce, the capability to massively analyze and predict citizens' behavior has become a priority for governments in terms of collective intelligence and security. At the same time, in the context of novel possibilities that artificial intelligence (AI) brings to governments in terms of understanding and developing collective behavior analysis, important concerns related to citizens' privacy have emerged. In order to identify the main uses that governments make of AI and to define citizens' concerns about their privacy, in the present study, we undertook a systematic review of the literature, conducted in-depth interviews, and applied data-mining techniques. Based on our results, we classified and discussed the risks to citizens' privacy according to the types of AI strategies used by governments that may affect collective behavior and cause massive behavior modification. Our results revealed 11 uses of AI strategies used by the government to improve their interaction with citizens, organizations in cities, services provided by public institutions or the economy, among other areas. In relation to citizens' privacy when AI is used by governments, we identified 8 topics related to human behavior predictions, intelligence decision making, decision automation, digital surveillance, data privacy law and regulation, and the risk of behavior modification. The paper concludes with a discussion of the development of regulations focused on the ethical design of citizen data collection, where implications for governments are presented aimed at regulating security, ethics, and data privacy. Additionally, we propose a research agenda composed by 16 research questions to be investigated in further research. 相似文献
7.
《Government Information Quarterly》2023,40(1):101783
Smart government is viewed as the highest modernization stage of public agencies. Governments seek to employ disruptive technologies to substantially transform government-citizen relationships, enhance citizens’ experiences, transform public decision making, emphasize citizen engagement in the democratic decision-making process, provide more agile and resilient government structures, create substantial public value and generally improve quality of life. Despite its numerous potential advantages, smart government is still in its early phases of development. Examining issues related to the usage behavior of smart government services has received little attention. Outcomes of the usage of online technologies in general, and electronic public services in particular, have been largely overlooked. Accordingly, this study aims at developing and empirically validating an integrated model of smart government usage by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) through the incorporation of a set of determinants and outcomes of smart government usage following an extensive review of extant literature. The data were obtained from 414 smart government clients in the United Arab Emirates through an online questionnaire and analyzed using structural equation modeling (SEM). The results of this study indicated that, among all significant antecedents of smart government usage, performance expectancy has the strongest impact, whilst facilitating conditions has the weakest influence. It has been also reported that personalization has no significant effect on smart government usage. The results further revealed that the strongest impact of smart government usage is on information transparency. Implications for theory and practice are also offered. 相似文献
8.
《Government Information Quarterly》2018,35(4):682-692
With the recent increase in urban population worldwide, and the emergence of big data analytics, there is a growing interest in research on how cities are actively reconstructing themselves into a smart and sustainable city. Research studies have shown that the smart city system primarily focuses on integrating three components: economic, environmental, and social. The social component includes participatory democracy with citizen engagement. In many cases, smart cities focus on discovering answers for various urban problems through the adoption of Information Communication Technologies (ICTs) designed to collect citizen feedback, or provide knowledge resources that can improve the quality of urban life. However, there are very few studies that attempt to close the information loop and link problems to solutions in one, unified framework. The purpose of this study is to demonstrate such a unified approach. Using the theoretical lens of dynamic capabilities, we expand the definition of a smart city to include the notion of an urban organization with dynamic capabilities, which operates within cycles of ‘sense’, ‘seize’, ‘align’, and ‘transform’ functions. Our case study focuses on the ‘sense’ and ‘seize’ steps, describing a medium-size city in Texas, where an open-ended survey is used as a collection instrument for citizen input and concept-based analytics are employed to convert such input into actionable insights. Our approach has the potential to assist policy makers in designing a comprehensive strategy toward the goal of the smart city. 相似文献
9.
The research work on understanding whether citizens will readily accept to engage with governments in e-participation initiatives through social media remains limited. Therefore, this study investigates the factors that are influencing citizens' intention to engage in government-led e-Participation initiatives through Facebook. To that end, the study proposes and validates a citizen-centric acceptance model. The proposed model extends the model primarily established on the theory of planned behavior, by incorporating additional factors that emerged from relevant literature. The research data were collected from a survey of 400 Facebook users in Jordan using a probability sample technique. The results revealed that the factors with the most significant influence on citizens' intention to engage in government-led e-participation initiatives through Facebook are: the citizens' attitude, participation efficacy, and perceived behavior control. Subjective norms and perceived value, however, have no direct effect on citizens' intention to engage in government-led e-participation initiatives through Facebook. Furthermore, the results showed that the citizens' attitude is primarily determined by participation efficacy, perceived usefulness and compatibility of Facebook, and perceived value. In contrast, the factors perceived ease of use of Facebook, citizens' trust in government, and citizens' trust in Facebook, have no significant impact on citizens' attitude. These factors have rarely been empirically tested in the context of e-participation. Consequently, this study paves the way towards a better understanding of the important factors that influence citizens' intention to participate, which, in turn, will inform the design and implementation of e-participation initiatives. 相似文献
10.
《Government Information Quarterly》2019,36(2):358-367
Driven by ‘success stories’ reported by private sector firms, government agencies have also started adopting various Artificial Intelligence (AI) technologies in diverse domains (e.g. health, taxation, and education); however, extensive research is required in order to exploit the full potential of AI in the public sector, and leverage various AI technologies to address important problems/needs. This paper makes a contribution in this direction: it presents a novel approach, as well as the architecture of an ICT platform supporting it, for the advanced exploitation of a specific AI technology, namely chatbots, in the public sector in order to address a crucial issue: the improvement of communication between government and citizens (which has for long time been problematic). The proposed approach builds on natural language processing, machine learning and data mining technologies, and leverages existing data of various forms (such as documents containing legislation and directives, structured data from government agencies' operational systems, social media data, etc.), in order to develop a new digital channel of communication between citizens and government. Making use of appropriately structured and semantically annotated data, this channel enables ‘richer’ and more expressive interaction of citizens with government in everyday language, facilitating and advancing both information seeking and conducting of transactions. Compared to existing digital channels, the proposed approach is appropriate for a wider range of citizens' interactions, with higher levels of complexity, ambiguity and uncertainty. In close co-operation with three Greek government agencies (the Ministry of Finance, a social security organization, and a big local government organization), this approach has been validated through a series of application scenarios. 相似文献
11.
This article studies the internet's impact on expert–citizen interactions in the process of public policymaking. It examines a possible solution to a classical democratic dilemma of citizens' right to participate versus citizens' ability to participate. Through a meta-analysis of the past studies on internet's impact on citizen participation in public policy making, the authors find that the internet has successfully reduced resource difference between policy experts and the citizens as promised. However, the technology itself does not provide all the answers. Exogenous factors such as personal characteristics, decision environment, and institutional factors all play a role in enhancing the impact of the internet. Continued education and institutional innovations are necessary to encourage citizen–expert collaboration and reduce resource difference between the citizens and policy experts. Also, more clearly defined and systematic theoretical and empirical studies are needed to help facilitate our understanding of efficient citizen–expert interactions in public policy making by way of the internet technology. 1 相似文献
12.
《Government Information Quarterly》2019,36(2):226-236
The sustainability of public health practices requires collaboration between the government and its citizens. On the government's side, social media can provide a conduit for communicating health risk information in an effective and timely fashion, while also engaging citizens in informed decision-making. On the citizen's side, information communication technology (ICT)-based practices cannot function unless citizens recognize and act on their responsibility to actively engage with government social media platforms. Despite an increasing interest in understanding the adoption of ICT practices and e-government services for health risk communication, there remains a crucial need for a comprehensive framework to explain which factors determine citizen use of digital government resources. The purpose of this study is to investigate how to increase government accountability for motivating citizens to engage in ICT-based health risk communication, thereby attaining sustainable public health practices through collaborative governance.By integrating trust and health risk information into the e-government adoption model (GAM), this research examines factors that influence citizens' likelihood of using government social media resources. Survey data from 700 Korean citizens were analyzed using structural equation modeling. The results indicated that individuals with higher social media competency are more likely to (a) seek risk information through social media and (b) perceive the government's social media sites as easy to use. Consistent with the GAM, intentions to use the government's social media sites for information and interactions appear to increase as citizens perceive more value in using them regarding information quality, ease of use, functional benefit, and security. Furthermore, perceived trust in the government's social media resources appears to function as a mediator of this process. Initial trust in the government is an important determinant of perceptions of its digital resources. Citizens who trust the government tend to evaluate new initiatives positively and are more likely to accept and make use of them.The results of this study can inform policy design and implementation by elucidating the mechanisms that determine citizens' adoption and usage of digital government services. Theoretically, this work expands the GAM to include health risk communication and adds empirical evidence to the small yet growing body of knowledge of e-government initiatives. These findings also highlight the importance of public trust in the government, as this encourages citizens to seek health risk information and assistance from the government. Overall, the data and model generated in this investigation represent an important step toward the successful and sustainable modernization of public services. 相似文献
13.
Governments have a variety of channels at their disposal to help them interact with their citizens. Having realized that citizens still prefer the traditional channels, governments are now focusing on ways to lead them to the web. Previously, we have shown that citizens prefer the use of soft instruments, such as communication. Communication instruments are characterized by the transfer of information from government to citizens, for example, by means of mass media or a letter. This study focuses on how a communication instrument—in this case a personal letter—can be used to lead citizens to the digital channel. We also show the effects of the instrument both in terms of channel usage and citizen perceptions. Based on a field experiment, carried out in cooperation with a Dutch national government agency, we show that unobtrusive channel marketing can be effectively used to increase usage of government e-services, without negatively affecting citizens' current level of satisfaction with service delivery. 相似文献
14.
AI-based self-service technology in public service delivery: User experience and influencing factors
《Government Information Quarterly》2021,38(4):101520
Public sectors are utilizing AI-based self-service technology (SST) at an accelerating rate, given its potential for improving work efficiency and user experience, reducing service costs, and relieving human workloads. However, there is a limited understanding of the factors influencing citizens' user experience when services supported by AI-based SST are provided. Thus, with insights from the Consumer Value Theory, this paper aims to explore the factors that are important to AI-based SST user experience and the conditional role of trust in government. The on-site survey of 379 citizens in a public service center in China indicates that user experience positively relates to personalization and aesthetics and negatively associates with perceived time spent on the AI-based self-service machines. In addition, the results suggest that citizens with more trust in government are more likely to have a pleasant experience coming from AI-based SST's personalization and aesthetics. Public managers should ensure that the AI-based SST is aesthetically appealing and should be able to personalize the delivery of the right contents to the right person at the right time. Furthermore, they should always prioritize cultivating more trust from citizens to achieve a more positive user experience. 相似文献
15.
《Government Information Quarterly》2022,39(1):101646
Based on the information-as-coping perspective, we provided a theoretical framework to understand how the quality of government information and citizens' partisanship impact citizens' wellbeing in terms of satisfaction with life and anxiety during COVID-19. With survey data from 705 respondents in Indonesia, we found that government information quality is of vital importance in helping citizens get ready to fight the pandemic, as well as lowering their anxiety. Our results show that higher information quality leads to a higher ability to respond quickly to the crisis, as well as a reduced level of information overload. While partisanship is a significant predictor of information overload, it had no significant impact on perceived quick response ability. Quick response ability and information overload, in turn, predict anxiety and citizen's satisfaction with life. 相似文献
16.
This study proposes a new typological framework for classifying smart city services. Intentionally focused on citizen-centricity, away from bureaucratic perspectives that most typologies have taken, this typology is derived from marketing and service science literature. The proposed typology consists of four dimensions: mode of technology (automate–informative–transformative), purpose of service (hedonic–utilitarian), service authority (voluntary–mandatory), and delivery mode (passive–interactive). This typological framework is validated with a qualitative exercise of classifying inventories of actual smart city services in practice into the framework. Exercise results revealed that the categories provided are mutually exclusive and comprehensively exhaustive in general, and useful in further conceptualization of new services by identifying gaps in reality. In practice, this typology would be useful in positioning specific smart city service under development in terms of citizen-centricity. Urban planners and administrators may use this framework in understanding the pattern of their service development. Also, this framework may provide a useful guideline for service designer pinpointing the design characteristics of old and new smart city services from the perspective of users and customers of city services: citizens. 相似文献
17.
《Government Information Quarterly》2020,37(4):101498
Nudging is seen to complement or replace existing policy tools by altering people's choice architectures towards behaviors that align with government aims, but has fallen short in meeting those targets. Crucially, governments do not nudge citizens directly, but need private agents to nudge their consumers. Based on this notion, the paper takes on an institutional approach towards nudging. Rather than looking at the relationship between nudger and nudgee, the research analyses the regulatory and market structures that affect nudge implementation by private actors, captured by the ‘budge’ idea. Focusing on the European energy policy domain, the paper analyses the contextual factors of green nudges that are initiated by Member States, and implemented by energy companies. The findings show that in the smart meter context, there are regulatory measures that affect implementation of smart meters and that government has a central role to ‘budge’, due to the dependence on private agents. 相似文献
18.
《Government Information Quarterly》2023,40(3):101785
Government chatbots have become increasingly popular as artificial-intelligence-based tools to improve communication between the government and its citizens. This study explores the interaction mode design of a trustworthy government chatbot, which involves multiple social characteristics from the user-centric perspective. A discrete choice experiment was conducted in the context of Chinese government chatbots to examine the effects of various social characteristics on citizen preferences. Participants utilized a crowdsourcing survey platform to report their preferences for interaction processes designed with distinct sets of social characteristics. Valid data were obtained from 371 participants and analyzed using a multinomial logit model. The results indicate that (in order from highest to lowest impact) emotional intelligence, proactivity, identity consistency, and conscientiousness significantly influence the citizens' preferences. Identity consistency has a negative effect, whereas the other factors all have positive impacts. It was also determined that some of these correlations are influenced by the participants' individual characteristics, such as age, gender, and prior experience with chatbots. This work provides empirical evidence for the relative importance of social characteristics and their impacts on user perception, expands the service dimension scope of information provision/communication (one of five categories of digital interaction), and facilitates the identification and operationalization of the social characteristics. We provide a theoretical framework to understand the interaction model design of a trustworthy government chatbot and also offer practical recommendations for government chatbot designers and policy implications. 相似文献
19.
《Government Information Quarterly》2023,40(1):101775
Government social media has been integrated as part of the government administrative tools to improve public service and promote public goals. However, the current government information literature is limited to understanding government social media adoption and its purpose for political marketing. The present study seeks to understand the role of government social media in promoting government digital initiatives (i.e., government-backed digital currency). The study validated the inter-relationships between government social media effort, privacy concerns, trust in technology, reachability, and citizens' participation in government-initiated digital innovations. A total of 505 responses from Chinese citizens were collected through an online self-administered questionnaire survey, and the data was submitted to a two-stage Partial Least Squares Structural Equation Modelling-Artificial Neural Network analysis. The analytic results revealed that privacy concerns, trust in technology, and reachability positively influence digital participation. In addition, the information quality and perception of trust in government social media have significant positive influences on government social media engagement. The study provides strategic practical suggestions to government agencies in effectively utilizing social media as a communication platform to foster citizens' participation in government's digital initiatives. 相似文献
20.
《Government Information Quarterly》2022,39(2):101663
This research proposes a holistic and integrative theoretical model to discuss the effects of eight predictors of citizens' attitudes towards open government and Government 2.0, and whether these attitudes influence their intention to use open government data in Brazil, one of the founding countries of the Open Government Partnership (OGP). Findings show the effects of six predictors of citizens' attitudes towards open government and government 2.0. In essence, these predictors are ease of use, usefulness, intrinsic motivation, political satisfaction, government trust, and intensity of internet use. This study also indicates that education, income, and region influence the ease of use and usefulness of open data. These findings also mean that public managers and political parties still have “homework’ to do to stimulate citizens' behavior towards open government and government 2.0. These initiatives encompass the government portals quality and data transparency improvement through less restrictive laws. Also, improve politicians' job performance. 相似文献