Many public organizations struggle to adapt to digital transformation. Whereas previous research has identified internal drivers of change, an unpredictable factor from the external environment such as the COVID-19 pandemic can trigger public innovation. In this study, we aim to investigate if and how the COVID-19 pandemic has influenced the digital government transformation. In more detail, we explore how the COVID-19 pandemic has affected different organizational aspects that are expected to be affected by a digital transformation. Findings from case studies of ten organizations from the Austrian federal administration indicate that the pandemic has not only led to an increased use of technological means but also influenced various organizational aspects such as employees' attitudes toward technology and organizational culture toward innovation. In particular, organizations heavily affected by the pandemic have benefited from a greater degree of digital transformation. Consequently, the pandemic has influenced a spirit of innovation and accelerated the speed of digital transformation.

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 ('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 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 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.

During the pandemic, several countries deployed contact-tracing apps in order to contain or reduce the community spread of COVID-19. However, the success rate in terms of acceptance and use of these apps was reportedly low. Using information gathered from citizens across four European countries and the United States of America, this study explores the role of national culture in relation to the acceptance of these apps. Using partial least squares structural equation modelling (PLS-SEM), an analysis was undertaken of 3595 records from a cross-country survey dataset that is in the public domain and can be obtained from the Centre for Open Science (Study 1). This analysis was followed by another survey comprising 910 respondents (Study 2). The research model was then validated by using a qualitative approach and undertaking interviews with 51 participants from four countries (Study 3). The results confirmed the moderating role of national culture on the acceptability of the contact-tracing apps in relation to power-distance, masculinity, individualism, long-term orientation and indulgence in the pre-deployment phase (Study 1). There were, however, no significant differences in acceptability of the apps between countries in relation to uncertainty avoidance; and none of the hypotheses in Study 2 was supported. The study concludes that national culture is significant in terms of the acceptance of COVID-19 apps only during the pre-deployment phase; therefore attention is required with pertinence to pre-deployment strategies. Recommendations regarding how governments and public health institutions can increase the acceptability of contact-tracing apps have been highlighted.

The effectiveness of social distancing and other public health interventions for containing the COVID-19 pandemic has been demonstrated. However, whether and how Internet use behaviours can lead to enhanced self-protection and reduced transmission when considered in conjunction with behavioural interventions remains unclear. This study investigated the strength of effective Internet behaviours and its interaction with global public health interventions for controlling the COVID-19 pandemic. We conducted an econometric analysis of multisource infection and policy information, Internet behaviour, and meteorological information from worldwide in a 3-month period. People's Internet behaviours may contribute crucially to pandemic containment. Furthermore, they may help enhance the effects of public health interventions, particularly behavioural interventions. We discussed plausible mechanisms through which Internet behaviours reduce epidemic spread independently or in tandem with behavioural interventions. Further investigation into the heterogeneity of the interventions demonstrates Internet behaviour's significance in heightening the effects of difficult-to-implement, primitive crisis orientation, and specific objectives of interventions. Governments should recognise the importance of the Internet and leverage it in managing social crises. Our findings serve as a reference for the formulation of global public health policy. Specifically, the insights provided herein can facilitate the implementation of strategies for containing ongoing secondary outbreaks of COVID-19 or outbreaks of other emergent infectious diseases.

We are living in turbulent times, with the threats of COVID-19 and related social conflicts. Digital transformation is not an option but a necessity for governments to respond to these crises. It has become imperative for governments worldwide to enhance their capacity to strategically use emerging digital technologies and develop innovative digital public services to confront and overcome the pandemic. With the rapid development of digital technologies, digital government transformation (DGT) has been legitimated in response to the pandemic, contributing to innovative efficacy, but it also has created a set of challenges, dilemmas, paradoxes, and ambiguities. This special issue's primary motive is to comprehensively discuss the promises and challenges DGT presents. It focuses on the nature of the problems and the dilemmatic situation in which to use the technologies. Furthermore, it covers government capacity and policy implications for managerial and institutional reforms to respond to the threats and the uncertainty caused by disruptive digitalization in many countries. To stimulate discussion of the theme of this special issue, this editorial note provides an overview of previous literature on DGT as a controlling measure of the pandemic and the future direction of research and practice on DGT.

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.

An overly favorable narrative has developed around the role played by digital technologies in containing Covid-19, which oversimplifies the complexity of technology adoption. This narrative takes sociomaterial arrangements for granted and conceptualizes technology affordance - the problem-solving capability of a technology - as a standard built-in feature that automatically activates during technology deployment, leading to undiversified and predetermined collective benefits. This paper demonstrates that not everything is as it seems; implementing a technology is a necessary but insufficient condition for triggering its potential problem-solving capability. The potential affordance and effects of a technology are mediated by the sociomaterial arrangements that users assemble to connect their goals to the materiality of technological artifacts and socio-organizational context in which technology deployment takes place. To substantiate this argument and illustrate the mediating role of sociomaterial arrangements, we build on sociomateriality and technology affordance theory, and we present the results of a systematic review of Covid-19 literature in which 2187 documents are examined. The review combines text data mining, co-occurrence pattern recognition, and inductive coding, and it focuses on four digital technologies that public authorities have deployed as virus containment measures: infrared temperature-sensing devices; ICT-based surveillance and contact-tracing systems; bioinformatic tools and applications for laboratory testing; and electronic mass communications media. Reporting on our findings, we add nuances to the academic debate on sociomateriality, technology affordance, and the governance of technology in public health crises. In addition, we provide public authorities with practical recommendations on how to strengthen their approach to digital technology deployment for pandemic control.

Evidence from literature reveals that good governance practices influence citizens' attitudes and behaviours towards the government. Therefore, grounded on the good governance theory, the current study aimed to empirically examine how good governance practices promote public trust with the underlying mechanism of perceived government response on COVID-19 (PGRC) and moderating role of government agency's provision of quality information on social media (GQS). The data was collected from 491 followers of the Facebook account, Instagram, and Twitter pages of a government news agency, i.e., Associated Press of Pakistan and were analyzed using measurement and structural model by employing SmartPls 3.3.0. The results revealed a direct and indirect association of good governance practices with the public's trust in government via PGRC as mediator. Likewise, results showed that GQS interacts with PGRC and augments public trust in government. This study tried to contribute to the body of knowledge while addressing the gap related to the dearth of literature regarding government use of ICT during the COVID-19 pandemic to harvest benefits from social media while communicating with citizens on a larger scale. Moreover, the current study offers valuable practical and strategical recommendations to agencies and policymakers.

While the use of social media by local governments has gained relevance in recent years, crises are critical situations that reinforce the need to reach citizens to disclose information, demonstrate the government's commitment, and increase the citizens' level of preparedness and awareness of resources. This paper examines the factors that influenced local governments' e-disclosure during the first wave of the COVID-19 pandemic. To accomplish this objective, we systematically tracked every post published by the official Facebook page of 304 Portuguese municipalities between March 2 and July 5, 2020. The findings show that financial autonomy is the main predictor of e-disclosure, factors varied on the different phases of the pandemic's first wave, and sociodemographic factors became more prevalent as explanatory factors when the crisis worsened. Our study may help increase the level of preparedness during possible future crises. In particular, establishing communication strategies for prolonged public health crises, making financial resources available for the accomplishment of such strategies, and reducing the digital divide can contribute to more effective disclosure. Future research should explore the dynamics of disclosure during public health crises. This study also highlights the need to incorporate time in research that focuses on the determinants of e-disclosure that could also be tested in normal times.

This study adopts a public value perspective to examine the eHealth services deployed by national and regional governments to contain the coronavirus (Covid-19) pandemic, including symptoms checkers, information portals and contact-tracing applications. We analyse 50 cases of eHealth applications adopted in 25 European Economic Area (EEA) and outline how these systems and technologies map against four dimensions of public value: , , and . Our findings reveal that the public value of the eHealth applications adopted in the context of the current pandemic is affected by both endogenous and exogenous factors that undermine their ability to improve the quality of healthcare services and social wellbeing. We conclude by suggesting areas for further research to address such factors and the trade-offs emerging between different dimensions of public value.

Cybercriminals are taking advantage of the COVID-19 outbreak and offering COVID-19-related scams to unsuspecting people. Currently, there is a lack of studies that focus on protecting people from COVID-19-related cybercrimes. Drawing upon Cultivation Theory and Protection Motivation Theory, we develop a research model to examine the cultivation effect of government social media on peoples' information security behavior towards COVID-19 scams. We employ structural equation modeling to analyze 240 survey responses collected from social media followers of government accounts. Our results suggest that government social media account followers' participation influences their information security behavior through perceived severity, perceived vulnerability, self-efficacy, and response efficacy. Our study highlights the importance of government social media for information security management during crises.

As the COVID-19 pandemic causes unprecedented disruptions in citizens' lives and work, prompting a wide range of responses from governments across the globe. The southern Indian state of Kerala, India's COVID-19 "ground zero", stands out with a fatality rate at a fraction of other richer Indian states and countries. This has happened despite the state presenting strong vulnerabilities to COVID-19. Using the theoretical lens of frugal innovation, I analyse how the Kerala State Government (KSG) combated the spread of COVID-19. This research uncovers the mechanisms at play as KSG implemented and used frugal technologies as platforms that helped decision making and strategy to fight the pandemic. I find a rich interplay of frugal innovations promoted by the government, in partnership with research institutes and private sector actors, which are cheap and efficacious. The study defines and promotes the concept of government frugal innovation (GFI) and provides valuable insights and tools to help governments navigate and effectively respond to this crisis, encouraging the rest of the world to learn from Kerala's experience. My conceptual model characterizes GFI as involving collaborative aspects, and holds practical implications beyond the times of crises.

Social media assemble multiple users' interactions across singular events. Authorities need to navigate this diversity to effectively communicate and promote collaborative strategies. During emergency situations, discerning "who is there" is even more important for authorities, as this tracing process can save lives reaching the appropriate targets. This article contributes to this problem during emergency situations by proposing a user role taxonomy. We argue that focusing on functional behaviors could bypass the complexity of defining audiences during critical events. We test our framework using data from the 2018 flash floods in Sant Llorenç, Majorca island (Spain). Results show a diverse set of audience roles that emerge during crisis and post-crisis stages. We also identify the inclination of actors to represent certain roles and not others. Our findings contribute to understand crisis development models, and also crisis coordination configurations, such as the four-channel model or the network coordination perspective. Practical implications for public managers vary from improving coordination to influence audience's behavior during crises.

How do governments in China and Western democracies differ in their technological response to control the transmission of the pandemic? Based on an analysis of academic papers, World Health Organization reports and newspapers, this research compares two opposing approaches, whereas the Chinese cities and government have adopted a techno-driven approach, Western governments have adopted a human-driven approach to control the transmission of Covid-19. The findings highlight that although the techno driven approach may be more productive to identify, isolate and quarantine infected individuals, it also results in the suppression and censoring the citizen views. It is further emphasized that human interaction with the technology is mediated by the political and institutional context in which the technologies are implemented. This paper contributes to literature by understanding the human-technology relationship, and offers five practical observations for controlling virus transmissions during pandemics.

Governments are increasingly emphasizing emergency management in response to public emergencies that cause extensive consequences and involve multiple government agencies. One of the influential measures adopted by governments is the establishment of cross-agency networks. Scholars have validated the importance of cross-agency collaboration and networks, but only a few studies have examined cross-agency information sharing and utilization mechanism of joint emergency actions. Inspired by the theory of network embeddedness, we study the joint effects of informational and task attributes of embeddedness and absorptive capacity of the leading agency on collaborative emergency capacity. Our data consist of 110 local government contingency plans collected from F District in Shanghai, China. We found that a well-structured cross-agency network and a leading department with great information accessibility will significantly affect the efficiency of emergency collaborations. The capacity to absorb information significantly enhances the improvement of emergency collaboration.

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.

China has adopted a push model of Freedom of Information (FOI) legislation that emphasizes proactive disclosure of government information. This differs from a pull model that stresses citizen-initiated access or reactive disclosure. The push model of FOI legislation, which has reduced the importance of access requests in China, grew out of its local causes. However, the degree of push or proactive disclosure under China's current FOI Regulations is undermined by several factors, including a limited access mechanism, broad and vague exemptions, and the omission of the maximum disclosure principle.

"The U.S. Bureau of the Census created the State Data Center program in 1978 to improve public access to census information. This article discusses the background, structure, and services of that program; the role of libraries in the program; and future directions in State Data Center/library relationships. The appendix lists contact person names, as well as addresses and telephone numbers for State Data Center lead agencies."

This study used the Technology Acceptance Model (TAM) to examine taxpayers' acceptance of the Internet tax-filing system. Based on data collected from 141 experienced taxpayers in Taiwan, the acceptance and the impact of quality antecedents on taxpayers' perceived usefulness (PU) and perceived ease of use (PEOU) of the system were assessed and evaluated. The results indicated that the model of Internet tax-filing system was accepted with a reasonable goodness-of-fit. Three important findings include the following items. First, TAM proves to be a valid model to explain the taxpayers' acceptance of the Internet tax-filers' system. Meanwhile, PU has created more impact than PEOU on taxpayers' intention to use the system. Second, PU is positively influenced by such factors as information system quality (ISQ), information quality (IQ), as well as perceived credibility (PC). Third, IQ has a positive impact on PEOU. Based on the research findings, implications and limitations are then discussed for future possible research.