Pub Date : 2025-03-07DOI: 10.1016/j.giq.2025.102020
Nicolas Bono Rossello, Anthony Simonofski, Annick Castiaux
The challenges posed by digital citizen participation and the amount of data generated by Digital Participation Platforms (DPPs) create an ideal context for the implementation of Artificial Intelligence (AI) solutions. However, current AI solutions in DPPs focus mainly on technical challenges, often neglecting their social impact and not fully exploiting AI's potential to empower citizens. The goal of this paper is thus to investigate how to design digital participation platforms that integrate technical AI solutions while considering the social context in which they are implemented. Using Collective Intelligence as kernel theory, and through a literature review and a focus group, we generate design principles for the development of a socio-technically aware AI architecture. These principles are then validated by experts from the field of AI and citizen participation. The principles suggest optimizing the alignment of AI solutions with project goals, ensuring their structured integration across multiple levels, enhancing transparency, monitoring AI-driven impacts, dynamically allocating AI actions, empowering users, and balancing cognitive disparities. These principles provide a theoretical basis for future AI-driven artifacts, and theories in digital citizen participation.
{"title":"Artificial intelligence for digital citizen participation: Design principles for a collective intelligence architecture","authors":"Nicolas Bono Rossello, Anthony Simonofski, Annick Castiaux","doi":"10.1016/j.giq.2025.102020","DOIUrl":"10.1016/j.giq.2025.102020","url":null,"abstract":"<div><div>The challenges posed by digital citizen participation and the amount of data generated by Digital Participation Platforms (DPPs) create an ideal context for the implementation of Artificial Intelligence (AI) solutions. However, current AI solutions in DPPs focus mainly on technical challenges, often neglecting their social impact and not fully exploiting AI's potential to empower citizens. The goal of this paper is thus to investigate how to design digital participation platforms that integrate technical AI solutions while considering the social context in which they are implemented. Using Collective Intelligence as kernel theory, and through a literature review and a focus group, we generate design principles for the development of a socio-technically aware AI architecture. These principles are then validated by experts from the field of AI and citizen participation. The principles suggest optimizing the alignment of AI solutions with project goals, ensuring their structured integration across multiple levels, enhancing transparency, monitoring AI-driven impacts, dynamically allocating AI actions, empowering users, and balancing cognitive disparities. These principles provide a theoretical basis for future AI-driven artifacts, and theories in digital citizen participation.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102020"},"PeriodicalIF":7.8,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143563803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-06DOI: 10.1016/j.giq.2025.102019
Hui Liu, Qingshan Zhou, Shuang Liang
Ensuring access to digital public services for vulnerable groups is a critical issue in digital government and digital inclusion research. Mapping the research trajectory in this domain is essential for fostering a systematic understanding among scholars and policymakers. Guided by the updated 2020 PRISMA statement, this study conducts a systematic literature review following five steps: database identification, search strategy development, article selection, data extraction, and synthesis and analysis. Three databases including Web of Science, Scopus and DGRL are searched for peer-reviewed empirical studies published from 2014 or later. Using the Public Service Ecosystem theory as a theoretical lens, this study makes two key contributions: analyzing the distribution of research themes and developing a goal-action framework. This framework not only refines the concept of digital inclusion in public services but also serves as a practical guide for stakeholders.
{"title":"Digital inclusion in public services for vulnerable groups: A systematic review for research themes and goal-action framework from the lens of public service ecosystem theory","authors":"Hui Liu, Qingshan Zhou, Shuang Liang","doi":"10.1016/j.giq.2025.102019","DOIUrl":"10.1016/j.giq.2025.102019","url":null,"abstract":"<div><div>Ensuring access to digital public services for vulnerable groups is a critical issue in digital government and digital inclusion research. Mapping the research trajectory in this domain is essential for fostering a systematic understanding among scholars and policymakers. Guided by the updated 2020 PRISMA statement, this study conducts a systematic literature review following five steps: database identification, search strategy development, article selection, data extraction, and synthesis and analysis. Three databases including Web of Science, Scopus and DGRL are searched for peer-reviewed empirical studies published from 2014 or later. Using the Public Service Ecosystem theory as a theoretical lens, this study makes two key contributions: analyzing the distribution of research themes and developing a goal-action framework. This framework not only refines the concept of digital inclusion in public services but also serves as a practical guide for stakeholders.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102019"},"PeriodicalIF":7.8,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143550569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-08DOI: 10.1016/j.giq.2025.102010
Hyacinth Balediata Bangero
Although Facebook is seen as a powerful and low-cost tool, insufficient manpower, time, budget, and technical skills hinder effective local government use. Citizens value government pronouncements directly affecting them, especially during uncertain times when guidelines keep changing and are unique per locality. Thus, the study sought the social media use of the 25 most successful cities' official Facebook pages to reveal best practices in e-Government communication for practitioners to learn how to use the relatively new tool efficiently. Using content analysis and anchoring on network analysis theory, the study revealed best practices in posting frequency, post type, shape, length, and topics based on the constructed week sample. Overall, city governments led by younger mayors achieve higher communication success rates. Communication success was also found to be related to the frequency of posting and professionalization. Findings and implications are discussed to help practitioners improve the government's social media utilization.
{"title":"Best practices in e-government communication: Lessons from the local Governments' use of official facebook pages","authors":"Hyacinth Balediata Bangero","doi":"10.1016/j.giq.2025.102010","DOIUrl":"10.1016/j.giq.2025.102010","url":null,"abstract":"<div><div>Although Facebook is seen as a powerful and low-cost tool, insufficient manpower, time, budget, and technical skills hinder effective local government use. Citizens value government pronouncements directly affecting them, especially during uncertain times when guidelines keep changing and are unique per locality. Thus, the study sought the social media use of the 25 most successful cities' official Facebook pages to reveal best practices in e-Government communication for practitioners to learn how to use the relatively new tool efficiently. Using content analysis and anchoring on network analysis theory, the study revealed best practices in posting frequency, post type, shape, length, and topics based on the constructed week sample. Overall, city governments led by younger mayors achieve higher communication success rates. Communication success was also found to be related to the frequency of posting and professionalization. Findings and implications are discussed to help practitioners improve the government's social media utilization.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102010"},"PeriodicalIF":7.8,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143350163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-27DOI: 10.1016/j.giq.2025.102007
Jonathan Mellon , Fredrik M. Sjoberg , Tiago Peixoto , Jacob Lueders
As civic life has moved online, scholars have questioned whether this will exacerbate political inequalities due to differential access to technology. However, this concern typically assumes that unequal participation inevitably leads to unequal outcomes: if online participants are unrepresentative of the population, then participation outcomes will benefit groups who participate and disadvantage those who do not. In this paper, we combine results from eight previous studies and new analysis to trace the digital inequality process from the digital divide through to policy outcomes for four different forms of online participation: online voting for Participatory Budgeting in Brazil, online local problem reporting in the United Kingdom through Fix My Street, crowdsourced constitution drafting in Iceland, and online petitioning across 132 countries on change.org. In every case, the assumed links in the chain from 1) the digital divide to 2) inequalities in online participation to 3) inequalities in demands made through the platform to 4) inequalities in participation outcomes. In each case, the link broke down because of the platform's institutional features and the surrounding political process. These results show that it is necessary to examine all the steps of online participation and its translation into policy to understand how inequality is created. The simple assumption that inequalities in participation always translate into the same inequalities in outcomes is not borne out in practice.
{"title":"The haves and the have nots: Civic technologies and the pathways to government responsiveness","authors":"Jonathan Mellon , Fredrik M. Sjoberg , Tiago Peixoto , Jacob Lueders","doi":"10.1016/j.giq.2025.102007","DOIUrl":"10.1016/j.giq.2025.102007","url":null,"abstract":"<div><div>As civic life has moved online, scholars have questioned whether this will exacerbate political inequalities due to differential access to technology. However, this concern typically assumes that unequal participation inevitably leads to unequal outcomes: if online participants are unrepresentative of the population, then participation outcomes will benefit groups who participate and disadvantage those who do not. In this paper, we combine results from eight previous studies and new analysis to trace the digital inequality process from the digital divide through to policy outcomes for four different forms of online participation: online voting for Participatory Budgeting in Brazil, online local problem reporting in the United Kingdom through Fix My Street, crowdsourced constitution drafting in Iceland, and online petitioning across 132 countries on <span><span>change.org</span><svg><path></path></svg></span>. In every case, the assumed links in the chain from 1) the digital divide to 2) inequalities in online participation to 3) inequalities in demands made through the platform to 4) inequalities in participation outcomes. In each case, the link broke down because of the platform's institutional features and the surrounding political process. These results show that it is necessary to examine all the steps of online participation and its translation into policy to understand how inequality is created. The simple assumption that inequalities in participation always translate into the same inequalities in outcomes is not borne out in practice.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102007"},"PeriodicalIF":7.8,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-20DOI: 10.1016/j.giq.2025.102008
Mary K. Feeney , Federica Fusi , Ignacio Pezo
Open government data (OGD) seeks to promote transparency and accountability by enabling public access to government data. While public managers are increasingly supportive of OGD initiatives worldwide, researchers note that they also carefully select which data to release to balance openness with traditional values of professionalism and secrecy as well as concerns about cyber incidents and privacy. Understanding the factors that influence this micro-level choice is important to make valuable types of data publicly accessible. Using 2018 survey data from a nationally representative sample of 2500 department heads in 500 small and medium-sized US cities, we look at variation in public managers' level of comfort with making different types of government data open - from criminal records to government employee salary data. We find that managerial comfort reflects historic practices of public accessibility and privacy concerns with individual data. Managers who believe OGD creates positive outcomes for society are more comfortable with publicly disclosing all types of data. We also find variation across department types, suggesting fragmented views towards OGD within public organizations.
{"title":"Which data should be publicly accessible? Dispatches from public managers","authors":"Mary K. Feeney , Federica Fusi , Ignacio Pezo","doi":"10.1016/j.giq.2025.102008","DOIUrl":"10.1016/j.giq.2025.102008","url":null,"abstract":"<div><div>Open government data (OGD) seeks to promote transparency and accountability by enabling public access to government data. While public managers are increasingly supportive of OGD initiatives worldwide, researchers note that they also carefully select which data to release to balance openness with traditional values of professionalism and secrecy as well as concerns about cyber incidents and privacy. Understanding the factors that influence this micro-level choice is important to make valuable types of data publicly accessible. Using 2018 survey data from a nationally representative sample of 2500 department heads in 500 small and medium-sized US cities, we look at variation in public managers' level of comfort with making different types of government data open - from criminal records to government employee salary data. We find that managerial comfort reflects historic practices of public accessibility and privacy concerns with individual data. Managers who believe OGD creates positive outcomes for society are more comfortable with publicly disclosing all types of data<em>.</em> We also find variation across department types, suggesting fragmented views towards OGD within public organizations.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102008"},"PeriodicalIF":7.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-16DOI: 10.1016/j.giq.2024.101984
Hendrik Scholta , Sebastian Halsbenning , Marco Niemann
The digitalization of public services is particularly challenging in federal states, in part because a federal structure separates organizations through a division of power and established jurisdictions, and digitalization facilitates interconnection between society and its organizations. The many actors involved in federal states' digital public services require coordination, so the literature suggests centralized coordination so federal states can benefit from the advantages of both unitary and federal states. However, this approach has not been adapted to digitalization and it remains unclear how centralized coordination applies to digital public services. This article determines how public managers in federal states should coordinate activities in digital public services with the help of centralization. Since coordination depends on decision-makers' being willing to give up some of their power, we also investigate the mechanisms that public managers in federal states use to influence decision-makers. Using a conceptual analysis and interviews with 28 public managers from three countries, we derive three types of coordination—shared services, digital identity, and strategic committee—and identify the influencing mechanisms of persuasion, incentive, pressure, and experience. In so doing, this article contributes to the literature in identifying the types of coordination, design principles for their arrangement, and the mechanisms managers typically use to influence decision-makers. The three types of coordination constitute a new theoretical lens through which to investigate the influence of the federal structure on the digitalization of public services, while the influencing mechanisms extend existing work by introducing the passive role of the influencer.
{"title":"A coordination perspective on digital public services in federal states","authors":"Hendrik Scholta , Sebastian Halsbenning , Marco Niemann","doi":"10.1016/j.giq.2024.101984","DOIUrl":"10.1016/j.giq.2024.101984","url":null,"abstract":"<div><div>The digitalization of public services is particularly challenging in federal states, in part because a federal structure separates organizations through a division of power and established jurisdictions, and digitalization facilitates interconnection between society and its organizations. The many actors involved in federal states' digital public services require coordination, so the literature suggests centralized coordination so federal states can benefit from the advantages of both unitary and federal states. However, this approach has not been adapted to digitalization and it remains unclear how centralized coordination applies to digital public services. This article determines how public managers in federal states should coordinate activities in digital public services with the help of centralization. Since coordination depends on decision-makers' being willing to give up some of their power, we also investigate the mechanisms that public managers in federal states use to influence decision-makers. Using a conceptual analysis and interviews with 28 public managers from three countries, we derive three types of coordination—shared services, digital identity, and strategic committee—and identify the influencing mechanisms of persuasion, incentive, pressure, and experience. In so doing, this article contributes to the literature in identifying the types of coordination, design principles for their arrangement, and the mechanisms managers typically use to influence decision-makers. The three types of coordination constitute a new theoretical lens through which to investigate the influence of the federal structure on the digitalization of public services, while the influencing mechanisms extend existing work by introducing the passive role of the influencer.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 101984"},"PeriodicalIF":7.8,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-16DOI: 10.1016/j.giq.2024.102003
Patricia Gomes Rêgo de Almeida , Carlos Denner dos Santos Júnior
While observing the race for Artificial Intelligence (AI) regulation and global governance, public organizations are faced with the need to structure themselves so that their AI systems consider ethical principles. This research aimed to investigate how public organizations have incorporated the guidelines presented by academia, legislation, and international standards into their governance, management, and AI system development processes, focusing on ethical principles. Propositions were elaborated on the processes and practices recommended by literature specialized in AI governance. This entailed a comprehensive search that reached out to 28 public organizations across five continents that have AI systems in operation. Through an exploratory and descriptive aim, based on a qualitative and quantitative approach, the empirical analysis was carried out by means of proposition analysis using the Qualitative Comparative Analysis (QCA) method in crisp-set and fuzzy modes, based on questionnaire responses, combined with an interview and document content analysis. The analyses identified how processes and practices, across multiple layers and directed at the application of ethical principles in AI system production, have been combined and internalized in those public institutions. Organizations that trained decision-makers, AI system developers, and users showed a more advanced stage of AI governance; on the other hand, low scores were found on actions towards AI governance when those professionals did not receive any training. The results also revealed how governments can boost AI governance in public organizations by designing AI strategy, AI policy, AI ethical principles and publishing standards for that purpose to government agencies. The results also ground the design of the AIGov4Gov framework for public organizations to implement their own AI governance.
{"title":"Artificial intelligence governance: Understanding how public organizations implement it","authors":"Patricia Gomes Rêgo de Almeida , Carlos Denner dos Santos Júnior","doi":"10.1016/j.giq.2024.102003","DOIUrl":"10.1016/j.giq.2024.102003","url":null,"abstract":"<div><div>While observing the race for Artificial Intelligence (AI) regulation and global governance, public organizations are faced with the need to structure themselves so that their AI systems consider ethical principles. This research aimed to investigate how public organizations have incorporated the guidelines presented by academia, legislation, and international standards into their governance, management, and AI system development processes, focusing on ethical principles. Propositions were elaborated on the processes and practices recommended by literature specialized in AI governance. This entailed a comprehensive search that reached out to 28 public organizations across five continents that have AI systems in operation. Through an exploratory and descriptive aim, based on a qualitative and quantitative approach, the empirical analysis was carried out by means of proposition analysis using the Qualitative Comparative Analysis (QCA) method in crisp-set and fuzzy modes, based on questionnaire responses, combined with an interview and document content analysis. The analyses identified how processes and practices, across multiple layers and directed at the application of ethical principles in AI system production, have been combined and internalized in those public institutions. Organizations that trained decision-makers, AI system developers, and users showed a more advanced stage of AI governance; on the other hand, low scores were found on actions towards AI governance when those professionals did not receive any training. The results also revealed how governments can boost AI governance in public organizations by designing AI strategy, AI policy, AI ethical principles and publishing standards for that purpose to government agencies. The results also ground the design of the AIGov4Gov framework for public organizations to implement their own AI governance.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102003"},"PeriodicalIF":7.8,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-14DOI: 10.1016/j.giq.2024.102002
Anouk Decuypere, Anne Van de Vijver
Governments are increasingly using AI for their decision making. Research on citizen perceptions highlight the context-dependent nature of their fairness assessment, rendering administrations unsure about how to implement AI so that citizens support these procedures. The survey experiments in this study, conducted in a pilot and a main study, (Npilot = 232; Nmain study = 2366) focuses on a high-risk decision-making context, i.e., selection of citizens for fraud detection. In the scenarios, we manipulated the proportion of the selection made by AI, based on information from past fraudsters, versus civil servants, who work based on their experience. In addition, we tested the effect of transparency (and explanation) statements and its impact on procedural fairness scores. We found that a higher proportion of AI in the selection for fraud audits was perceived as more procedurally fair, mostly through increased scores on bias suppression and consistency. However, participants' general attitude toward AI and trust in the administration explained more variance than the experimental manipulation. Transparency (explanations) had no impact.
{"title":"AI: Friend or foe of fairness perceptions of the tax administration? A survey experiment on citizens' procedural fairness perceptions","authors":"Anouk Decuypere, Anne Van de Vijver","doi":"10.1016/j.giq.2024.102002","DOIUrl":"10.1016/j.giq.2024.102002","url":null,"abstract":"<div><div>Governments are increasingly using AI for their decision making. Research on citizen perceptions highlight the context-dependent nature of their fairness assessment, rendering administrations unsure about how to implement AI so that citizens support these procedures. The survey experiments in this study, conducted in a pilot and a main study, (N<sub>pilot</sub> = 232; N<sub>main study</sub> = 2366) focuses on a high-risk decision-making context, i.e., selection of citizens for fraud detection. In the scenarios, we manipulated the proportion of the selection made by AI, based on information from past fraudsters, versus civil servants, who work based on their experience. In addition, we tested the effect of transparency (and explanation) statements and its impact on procedural fairness scores. We found that a higher proportion of AI in the selection for fraud audits was perceived as more procedurally fair, mostly through increased scores on bias suppression and consistency. However, participants' general attitude toward AI and trust in the administration explained more variance than the experimental manipulation. Transparency (explanations) had no impact.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102002"},"PeriodicalIF":7.8,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-10DOI: 10.1016/j.giq.2024.102006
Helen K. Liu , MuhChyun Tang , Antoine Serge J. Collard
With the increasing attention paid to artificial intelligence (AI) and crowd intelligence (CI) in government, their connections still need to be explored. This study explores the dynamic relationship between AI and CI that constitutes hybrid intelligence for the public sector. Thus, we adopt a bibliometric analysis to identify trends, emerging themes, topics, and interconnections between these two streams of literature. Our review illustrates the intersection between AI and CI, revealing that AI designs can improve efficiency from CI inputs. Meanwhile, AI advancement depends on the quality of CI data. Furthermore, our review highlights key domains such as smart cities (Internet of Things), personnel design, social media, and governance through cases. Based on these illustrated cases, we conceptualize a hybrid intelligence spectrum, ranging from “engagement” to “efficiency,” with crowd intelligence anchoring the former through its emphasis on public participation and AI anchoring the latter through its focus on automation and optimization. Hybrid intelligence, encompassing various forms, occupies the middle ground to balance maximizing public engagement and achieving computational efficiency. Additionally, we elaborate on components of hybrid intelligence designs regarding input (conscious crowds and unconscious crowds), process (algorithmic management and artificial discretion), and outcome (user-focus benefits and non-user-focus outputs). Finally, we recommend prioritizing questions related to the design, regulation, and governance of hybrid intelligence for the public sector.
{"title":"Hybrid intelligence for the public sector: A bibliometric analysis of artificial intelligence and crowd intelligence","authors":"Helen K. Liu , MuhChyun Tang , Antoine Serge J. Collard","doi":"10.1016/j.giq.2024.102006","DOIUrl":"10.1016/j.giq.2024.102006","url":null,"abstract":"<div><div>With the increasing attention paid to artificial intelligence (AI) and crowd intelligence (CI) in government, their connections still need to be explored. This study explores the dynamic relationship between AI and CI that constitutes hybrid intelligence for the public sector. Thus, we adopt a bibliometric analysis to identify trends, emerging themes, topics, and interconnections between these two streams of literature. Our review illustrates the intersection between AI and CI, revealing that AI designs can improve efficiency from CI inputs. Meanwhile, AI advancement depends on the quality of CI data. Furthermore, our review highlights key domains such as smart cities (Internet of Things), personnel design, social media, and governance through cases. Based on these illustrated cases, we conceptualize a hybrid intelligence spectrum, ranging from “engagement” to “efficiency,” with crowd intelligence anchoring the former through its emphasis on public participation and AI anchoring the latter through its focus on automation and optimization. Hybrid intelligence, encompassing various forms, occupies the middle ground to balance maximizing public engagement and achieving computational efficiency. Additionally, we elaborate on components of hybrid intelligence designs regarding input (conscious crowds and unconscious crowds), process (algorithmic management and artificial discretion), and outcome (user-focus benefits and non-user-focus outputs). Finally, we recommend prioritizing questions related to the design, regulation, and governance of hybrid intelligence for the public sector.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102006"},"PeriodicalIF":7.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-08DOI: 10.1016/j.giq.2024.102005
Simon Dechamps, Anthony Simonofski, Corentin Burnay
Putting citizens as the cornerstone of a policymaking or service design process is usually referred to as citizen-centricity and is often considered a key practice in the context of digital government transformation. Nevertheless, the lack of a common comprehension of what citizen-centricity entails leads to practical and theoretical difficulties, among which the confusion generated by the multiple heterogeneous definitions and the difficulty of measuring the level of citizen-centricity of a digital initiative, to cite only two. As an answer, this study characterizes citizen-centricity by suggesting a typology grounded in theory and practice. It does so by surveying the recent scientific literature using a systematic literature review of 58 studies, combined with 14 qualitative interviews with public agents. The key contribution from our citizen-centricity typology is threefold. First, by emphasizing four understandings of citizen-centricity, sometimes referring to an end-result, a design process, a governance mode, or a way of identifying the user, we demonstrate that the concept has the potential to encompass a multitude of disparate realities. Furthermore, it provides a crucial lens through which to comprehend the concept, thereby facilitating alignment between stakeholders engaged in the pursuit of citizen-centricity. Second, we identify the characteristics given by the literature and practitioners for each understanding. Finally, we suggest that the four understandings of citizen-centricity cannot be sequenced, even iteratively, since they interact continuously. These contributions should guide future research and facilitate communication between research and practice about this concept.
{"title":"Citizen-centricity in digital government: A theoretical and empirical typology","authors":"Simon Dechamps, Anthony Simonofski, Corentin Burnay","doi":"10.1016/j.giq.2024.102005","DOIUrl":"10.1016/j.giq.2024.102005","url":null,"abstract":"<div><div>Putting citizens as the cornerstone of a policymaking or service design process is usually referred to as citizen-centricity and is often considered a key practice in the context of digital government transformation. Nevertheless, the lack of a common comprehension of what citizen-centricity entails leads to practical and theoretical difficulties, among which the confusion generated by the multiple heterogeneous definitions and the difficulty of measuring the level of citizen-centricity of a digital initiative, to cite only two. As an answer, this study characterizes citizen-centricity by suggesting a typology grounded in theory and practice. It does so by surveying the recent scientific literature using a systematic literature review of 58 studies, combined with 14 qualitative interviews with public agents. The key contribution from our citizen-centricity typology is threefold. First, by emphasizing four understandings of citizen-centricity, sometimes referring to an end-result, a design process, a governance mode, or a way of identifying the user, we demonstrate that the concept has the potential to encompass a multitude of disparate realities. Furthermore, it provides a crucial lens through which to comprehend the concept, thereby facilitating alignment between stakeholders engaged in the pursuit of citizen-centricity. Second, we identify the characteristics given by the literature and practitioners for each understanding. Finally, we suggest that the four understandings of citizen-centricity cannot be sequenced, even iteratively, since they interact continuously. These contributions should guide future research and facilitate communication between research and practice about this concept.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102005"},"PeriodicalIF":7.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}