The Digital Government landscape is continuously changing to reflect how governments are trying to find innovative digital solutions to social, economic, political and other pressures, and how they ...transform themselves in the process. Understanding and predicting such changes is important for policymakers, government executives, researchers and all those who prepare, make, implement or evaluate Digital Government decisions. This article argues that the concept of Digital Government evolves toward more complexity and greater contextualization and specialization, similar to evolution-like processes that lead to changes in cultures and societies. To this end, the article presents a four-stage Digital Government Evolution Model comprising Digitization (Technology in Government), Transformation (Electronic Government), Engagement (Electronic Governance) and Contextualization (Policy-Driven Electronic Governance) stages; provides some evidence in support of this model drawing upon the study of the Digital Government literature published in Government Information Quarterly between 1992 and 2014; and presents a Digital Government Stage Analysis Framework to explain the evolution. As the article consolidates a representative body of the Digital Government literature, it could be also used for defining and integrating future research in the area.
•Digital Government evolves through Digitization, Transformation, Engagement and Contextualization stages.•Each stage has a logical description based on three binary variables and a thematic description based on related literature.•Each stage can be explained by pressures on government and how digital innovation is applied to address such pressures.•The model was validated by analysis of Digital Government articles published in GIQ between 1992 and 2014.•The fastest growth is observed in the Engagement stage, followed by Contextualization, followed by Transformation.
Sustainable Development Goals (SDGs) represent a commitment by all United Nations Member States to pursue development efforts, including ending poverty and hunger, promoting well-being and education, ...reducing inequalities, fostering peace, and protecting the planet. Member States and their governments are supposed to take ownership of the SDGs, strengthen the implementation means, and improve public governance as both the means and the end to development. Their capacity to undertake these tasks is critical for implementing SDGs. This editorial develops three lines of arguments: 1) that the Member States should strengthen the SDG implementation by building Digital Government capacity; 2) that according to the Digitization, Transformation, Engagement and Contextualization stages of the Digital Government Evolution model, 87% of the 169 SDG targets require Digital Government capacity at the highest Contextualization stage; and 3) that less than 31% of the Member States reached this stage and 55% did not advance beyond the lowest Digitization stage. The editorial concludes that Digital Government should play a key role in the implementation of the SDGs but, at present, the gap between aspiration (SDGs) and capacity (Digital Government) is affecting more than 69% of the Member States. Understanding and eventually addressing this gap requires further research efforts and adaptation of research results to different national circumstances and policy contexts.
•Digital Government (DG) capacity plays a key role in the implementation of Sustainable Development Goals (SDGs)•DG capacity can be measured through the Digitization, Transformation, Engagement and Contextualization stages•Implementing 87% of the SDG targets require DG capacity at the highest Contextualization stage•Less than 31% of the United Nations Member States reached the Contextualization stage•The gap between aspiration (SDGs) and capacity (DG) is affecting more than 69% of the Member States
Digital transformation approaches outside the public sector are changing citizens' expectations of governments' ability to deliver high-value, real-time digital services. In response to the changing ...expectations and triggered by supranational agreements, governments are changing their mode of operation to improve public service delivery, be more efficient and effective in their designs, and achieve objectives such as increased transparency, interoperability, or citizen satisfaction. However, beyond the availability of consultancy reports, there is little systematic insight into the way that public administrators themselves are currently defining digital transformation in their own day-to-day practices, how they are approaching digital transformation projects, and what their expected outcomes are. We provide an empirically-based definition of digital transformation derived from expert interviews and develop a conceptual framework with reasons for, processes to, and expected outcomes of digital transformation in the public sector.
•Empirically grounded definition of digital transformation focuses on holistic process to change products and culture.•Digital transformation goes beyond digitization and digitalization by including the whole organization.•Digital transformation changes bureaucratic and organizational culture and relationships to stakeholders.•Short-term output focus on measurable increases in new digital services.•Long-term impact and outcome focus on increases effectiveness and citizen satisfaction.
Digital government is essential for modernizing public administration, enhancing citizen services, boosting government productivity, and encouraging transparency and citizen involvement. It plays a ...critical role in improving the management of natural resource rents by promoting transparency, accountability, and responsible governance. However, empirical evidence on the impact of digital government on natural resource rents is lacking. To plug this vacuum into the literature, the analysis tries to study the impact of digital government on natural resource rent from 2003 to 2021 by collecting data across many economies and dividing the data into five samples: Global, Asian, American, European, and African. For empirical analysis, the study utilizes the 2SLS and GMM techniques. The analysis's main findings indicate that digital government escalates natural resource rent globally in Asia, America, and Europe. Likewise, human capital and financial development also help to advance natural resource rent. Further, the trade causes the natural resource rent to rise globally in Asia, America, Europe, and the African model, while technology promotes natural resource rent in Global, American, and European models. In contrast, external conflict causes the natural resource rent to fall globally in America and Europe. From these findings, the study infers that policymakers should increase the role of digitalization in governance-related activities, particularly in the natural resource sector.
•The study aims to fill this gap by analyzing the impact of digital government on natural resource rents from 2003 to 2021.•Empirical analysis is conducted using 2SLS and GMM techniques.•Findings show that digital government increases natural resource rent globally, particularly in Asia, America, and Europe.•Policymakers should increase the role of digitalization in governance, particularly in the natural resource sector.
When analyzing the causes that lead to digital government success or failure, state of the art research is often divided into two main areas: (1) implementation of these initiatives by government ...agencies and (2) their adoption by citizens, as some of the most important users. Each of these two perspectives has its own concepts, measurements, and theoretical models. This separation becomes significant when trying to have a comprehensive understanding of digital government success and when facing practical problems since factors affecting both governments and citizens contribute to the success or failure of digital government initiatives. Therefore, this paper proposes a comprehensive digital government success model that attempts to integrate implementation and adoption perspectives. In addition, based on data from the 32 states of Mexico, the paper provides an illustrative example of how the proposed model could be used.
•Digital government success is still not well understood.•A comprehensive model of digital government success is developed containing both implementation and adoption factors.•The study found that some variables affect the implementation by government agencies.•In contrast, different variables affect the adoption by citizens as some of the most important users.•This research integrates two of the predominant approaches to digital government success.
•The digital government policy significantly boosts the number of patent applications per capita.•It is particularly effective in regions with advanced marketization and IP protection.•Supportive ...business credit conditions and robust digital infrastructure also amplify the positive impact.
This study examines the effect of digital government policies on regional innovation levels. The findings indicate that implementing a digital government policy significantly boosts the number of patent applications per capita. Digital government policies are particularly effective in regions with advanced marketization, robust intellectual property rights protection, superior network infrastructure levels and supportive business credit conditions.
Governments realize a significant gap exists between existing efforts in customer experience and citizen expectations for implementing a digital platform in e-government (DPEG), hindering citizens’ ...continuance intention. This study proposes a novel initiative called gamification-enabled customer experience. Based on the motivational lens, we develop and test a conceptual research model. We find that gamification-enabled customer experience positively impacts intrinsic and extrinsic motivations and continuance intention towards DPEG. Our results enrich IS research on digital platforms, customer experience, types of motivation, and behavior. We also offer practical guidelines for implementing a DPEG to execute gamified customer experience strategies.
To lay the foundation for the special issue that this research article introduces, we present 1) a systematic review of existing literature on the implications of the use of Artificial Intelligence ...(AI) in public governance and 2) develop a research agenda. First, an assessment based on 26 articles on this topic reveals much exploratory, conceptual, qualitative, and practice-driven research in studies reflecting the increasing complexities of using AI in government – and the resulting implications, opportunities, and risks thereof for public governance. Second, based on both the literature review and the analysis of articles included in this special issue, we propose a research agenda comprising eight process-related recommendations and seven content-related recommendations. Process-wise, future research on the implications of the use of AI for public governance should move towards more public sector-focused, empirical, multidisciplinary, and explanatory research while focusing more on specific forms of AI rather than AI in general. Content-wise, our research agenda calls for the development of solid, multidisciplinary, theoretical foundations for the use of AI for public governance, as well as investigations of effective implementation, engagement, and communication plans for government strategies on AI use in the public sector. Finally, the research agenda calls for research into managing the risks of AI use in the public sector, governance modes possible for AI use in the public sector, performance and impact measurement of AI use in government, and impact evaluation of scaling-up AI usage in the public sector.
•We introduce the special issue on AI use in government and its articles.•We conduct a systematic literature review and develop a research agenda.•We find much exploratory, conceptual, qualitative, and practice-driven research.•Empirical and explanatory research on AI use implications for public governance is needed.•Multidisciplinary, theory-driven research on AI use in public governance is needed.
Changing governance paradigms has been shaping and reshaping the landscape of citizen-administration relationships, from impartial application of rules and regulations by administration to exercise ...its authority over citizens (bureaucratic paradigm), through provision of public services by administration to fulfil the needs of citizens (consumerist paradigm), to responsibility-sharing between administration and citizens for policy and service processes (participatory paradigm). The recent trend is the administration empowering citizens to create public value by themselves, through socio-technical systems that bring data, services, technologies and people together to respond to changing societal needs. Such systems are called “platforms” and the trend is called “platform paradigm”. The aim of this article is to offer a conceptual framework for citizen-administration relationships under the platform paradigm. While existing models of citizen-administration relationships mainly focus on specific types of relationships, e.g. citizen trust versus administrative transparency, or citizen satisfaction versus administrative performance, the proposed framework identifies a comprehensive set of relationships that explain how decisions by citizens or administration and the policy environment mutually agreed by them contribute to shaping such relationships and building individual and collective capacity for pursuing sustainable development. The framework comprises 15 types of relationships organized along the four governance paradigms. It is illustrated through the analysis of 11 case studies published in the current issue. Based on this analysis, the article also formulates some insights that are relevant to researchers and policymakers who intend to utilize platform governance for sustainable development.
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•Platform governance for sustainable development was defined and conceptualized.•The conceptualization forms a series of the bureaucratic, consumerist, participatory and platform governance paradigms.•The conceptualization identifies 15 types of citizen-administration relationships for different governance paradigms.•The conceptualization is applied to analyze and compare 11 cases of platform governance for sustainable development.
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