Pub Date : 2025-06-01Epub Date: 2025-03-19DOI: 10.1016/j.giq.2025.102021
Arjan C. Widlak , Rik Peeters
The interconnectedness of government organizations through data-exchange is proliferating. This is relevant for many debates in public administration today since all applications of data-driven government rest on a foundation of data. In this article, rather than focusing on specific applications, we analyze the way supra-organizational data-exchange shapes such applications and specifically automated administrative decision-making (AADM). We argue that the whole of bureaucracy that is connected through data-exchange implies the organizational separation of the collection or gathering of government data from the exchange, modification, combination and/or analysis and subsequently its (re)use in decision-making processes. To analyze the consequences of this new division of labor we further develop the concept of the infrastructure-level bureaucracy and formulate hypotheses on its consequences for data itself, organizations, and citizens. Ultimately, we argue infrastructural information flows pose challenges for democratic control and for procedural lawfulness in the constitutional state.
{"title":"A theory of the infrastructure-level bureaucracy: Understanding the consequences of data-exchange for procedural justice, organizational decision-making, and data itself","authors":"Arjan C. Widlak , Rik Peeters","doi":"10.1016/j.giq.2025.102021","DOIUrl":"10.1016/j.giq.2025.102021","url":null,"abstract":"<div><div>The interconnectedness of government organizations through data-exchange is proliferating. This is relevant for many debates in public administration today since all applications of data-driven government rest on a foundation of data. In this article, rather than focusing on specific applications, we analyze the way supra-organizational data-exchange shapes such applications and specifically automated administrative decision-making (AADM). We argue that the whole of bureaucracy that is connected through data-exchange implies the organizational separation of the collection or gathering of government data from the exchange, modification, combination and/or analysis and subsequently its (re)use in decision-making processes. To analyze the consequences of this new division of labor we further develop the concept of the infrastructure-level bureaucracy and formulate hypotheses on its consequences for data itself, organizations, and citizens. Ultimately, we argue infrastructural information flows pose challenges for democratic control and for procedural lawfulness in the constitutional state.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102021"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684847","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 : 2025-06-01Epub Date: 2025-04-17DOI: 10.1016/j.giq.2025.102030
Peter Spáč , Daniela Pastarmadzhieva , Jozef Zagrapan
This study explores local government responses to information requests by focusing on the volume of requested data and a reference to the freedom of information (FOI) legislation. The study relies on a field experiment with a 2 × 2 between-subject design conducted on municipalities in Slovakia. The information requests varied in the volume of the requested data (low vs. high) as well as in the inclusion of a reference to the country's FOI legislation (no reference vs. explicit reference). The study reveals that asking for more information noticeably reduces the responsiveness of municipalities. However, this effect is moderated by the inclusion of a reference to a FOI law. For requests seeking a small volume of data, an explicit reference to a FOI law only slightly supports the response rate. Conversely, in the case of high-demand requests, incorporating a FOI law reference substantially improves the responsiveness of municipalities. This research contributes to the literature on transparency as it demonstrates that referring to FOI legislation is an effective tool to overcome the reluctance of local governments to respond to more demanding information requests.
{"title":"Freedom of information and the volume of requested data: An experimental study","authors":"Peter Spáč , Daniela Pastarmadzhieva , Jozef Zagrapan","doi":"10.1016/j.giq.2025.102030","DOIUrl":"10.1016/j.giq.2025.102030","url":null,"abstract":"<div><div>This study explores local government responses to information requests by focusing on the volume of requested data and a reference to the freedom of information (FOI) legislation. The study relies on a field experiment with a 2 × 2 between-subject design conducted on municipalities in Slovakia. The information requests varied in the volume of the requested data (low vs. high) as well as in the inclusion of a reference to the country's FOI legislation (no reference vs. explicit reference). The study reveals that asking for more information noticeably reduces the responsiveness of municipalities. However, this effect is moderated by the inclusion of a reference to a FOI law. For requests seeking a small volume of data, an explicit reference to a FOI law only slightly supports the response rate. Conversely, in the case of high-demand requests, incorporating a FOI law reference substantially improves the responsiveness of municipalities. This research contributes to the literature on transparency as it demonstrates that referring to FOI legislation is an effective tool to overcome the reluctance of local governments to respond to more demanding information requests.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102030"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143838650","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}
Emerging technologies are often accompanied by optimistic “tech narratives” that emphasize their potential benefits to society. These narratives appear in various sources, including public policy documents, media coverage, and academic literature. However, identifying their origins and underlying rationale can be challenging. This paper addresses the research question (RQ): How can government tech narratives be traced and unveiled? To answer this question, we draw on the theoretical frameworks of “performativity” and “uncertainty assessment” to develop a two-step approach for investigating tech narratives. We apply this methodology to trace a narrative promoting the benefits of artificial intelligence (AI) in the Swedish public sector back to its source, an emerging government AI policy program. Our analysis reveals a hybridization of economic and political interests, as well as a recognized ignorance reflected in the lack of scrutiny of highly uncertain calculations. By presenting this two-step methodology for tracing and critically examining tech narratives, this paper makes a methodological contribution. In applying this approach, we also provide empirical insights into how tech narratives facilitate the materialization of technological infrastructures.
{"title":"Toward intelligence or ignorance? Performativity and uncertainty in government tech narratives","authors":"Leif Sundberg , Katarina Gidlund , Aron Larsson , Niclas Olofsson","doi":"10.1016/j.giq.2025.102032","DOIUrl":"10.1016/j.giq.2025.102032","url":null,"abstract":"<div><div>Emerging technologies are often accompanied by optimistic “tech narratives” that emphasize their potential benefits to society. These narratives appear in various sources, including public policy documents, media coverage, and academic literature. However, identifying their origins and underlying rationale can be challenging. This paper addresses the research question (RQ): How can government tech narratives be traced and unveiled? To answer this question, we draw on the theoretical frameworks of “performativity” and “uncertainty assessment” to develop a two-step approach for investigating tech narratives. We apply this methodology to trace a narrative promoting the benefits of artificial intelligence (AI) in the Swedish public sector back to its source, an emerging government AI policy program. Our analysis reveals a hybridization of economic and political interests, as well as a recognized ignorance reflected in the lack of scrutiny of highly uncertain calculations. By presenting this two-step methodology for tracing and critically examining tech narratives, this paper makes a methodological contribution. In applying this approach, we also provide empirical insights into how tech narratives facilitate the materialization of technological infrastructures.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102032"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929178","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 : 2025-06-01Epub Date: 2025-03-25DOI: 10.1016/j.giq.2025.102026
Tao Chen , Tiancheng Shang , Rongxiao Yan , Kang He
Mobile government is a vital tool for improving governance and fostering public engagement, yet the mechanisms that promote participation still require further study. This research synthesizes collaborative governance theory into a conceptual framework that delineates the process of public engagement in community m-government. We identify two essential conditions for effective mobile government and four core elements that shape collaborative dynamics. These elements interact to provide structural support and incentives for participation. Our findings show that mobile government plays a dual role: strengthening the collaborative governance framework and actively enhancing public engagement through leadership and participation mechanisms.
{"title":"Developing a collaborative mobile government participation framework using grounded theory","authors":"Tao Chen , Tiancheng Shang , Rongxiao Yan , Kang He","doi":"10.1016/j.giq.2025.102026","DOIUrl":"10.1016/j.giq.2025.102026","url":null,"abstract":"<div><div>Mobile government is a vital tool for improving governance and fostering public engagement, yet the mechanisms that promote participation still require further study. This research synthesizes collaborative governance theory into a conceptual framework that delineates the process of public engagement in community m-government. We identify two essential conditions for effective mobile government and four core elements that shape collaborative dynamics. These elements interact to provide structural support and incentives for participation. Our findings show that mobile government plays a dual role: strengthening the collaborative governance framework and actively enhancing public engagement through leadership and participation mechanisms.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102026"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143696031","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 : 2025-06-01Epub Date: 2025-05-13DOI: 10.1016/j.giq.2025.102033
Karl de Fine Licht
This paper addresses the challenge of resolving value conflicts in the public governance of artificial intelligence (AI). While existing AI ethics and regulatory frameworks emphasize a range of normative criteria—such as accuracy, transparency, fairness, and accountability—many of these values are in tension and, in some cases, incommensurable. I propose a procedural justice framework that distinguishes between conflicts among derivative trustworthiness criteria and those involving fundamental democratic values. For the former, I apply analytical tools such as the Dominance Principle, Supervaluationism, and Maximality to eliminate clearly inferior alternatives. For the latter, I argue that justifiable decision-making requires procedurally fair deliberation grounded in widely endorsed principles such as publicity, inclusion, relevance, and appeal. I demonstrate the applicability of this framework through an indepth analysis of an AI-based decision support system used by the Swedish Public Employment Service (PES), showing how institutional decision-makers can navigate complex trade-offs between efficiency, explainability, and legality. The framework provides public institutions with a structured method for addressing normative conflicts in AI implementation, moving beyond technical optimization toward democratically legitimate governance.
{"title":"Resolving value conflicts in public AI governance: A procedural justice framework","authors":"Karl de Fine Licht","doi":"10.1016/j.giq.2025.102033","DOIUrl":"10.1016/j.giq.2025.102033","url":null,"abstract":"<div><div>This paper addresses the challenge of resolving value conflicts in the public governance of artificial intelligence (AI). While existing AI ethics and regulatory frameworks emphasize a range of normative criteria—such as accuracy, transparency, fairness, and accountability—many of these values are in tension and, in some cases, incommensurable. I propose a procedural justice framework that distinguishes between conflicts among derivative trustworthiness criteria and those involving fundamental democratic values. For the former, I apply analytical tools such as the Dominance Principle, Supervaluationism, and Maximality to eliminate clearly inferior alternatives. For the latter, I argue that justifiable decision-making requires procedurally fair deliberation grounded in widely endorsed principles such as publicity, inclusion, relevance, and appeal. I demonstrate the applicability of this framework through an indepth analysis of an AI-based decision support system used by the Swedish Public Employment Service (PES), showing how institutional decision-makers can navigate complex trade-offs between efficiency, explainability, and legality. The framework provides public institutions with a structured method for addressing normative conflicts in AI implementation, moving beyond technical optimization toward democratically legitimate governance.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102033"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936084","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 : 2025-06-01Epub Date: 2025-05-08DOI: 10.1016/j.giq.2025.102031
Diogo Ribeiro , Vítor Fonte , Luis Felipe Ramos , João Marco Silva
The fast global expansion of online public services has transformed how governments interact with citizens, offering convenience and efficiency. However, this digital transformation also introduces significant security risks, as sensitive data exchanged between users and service providers over public networks are exposed to cyber threats. Thus, ensuring the security and trustworthiness of these services is critical to the success of Electronic Government (EGOV) initiatives. This study evaluates the information security posture of 3068 public service platforms across all 193 UN Member States through non-intrusive assessments conducted in 2023 and 2024. The evaluation focuses on three key dimensions: (i) the adoption of secure end-to-end communication protocols, (ii) the trustworthiness of digital certificate chains, and (iii) the exposure of hosting servers to known vulnerabilities. The findings reveal that while some progress has been made in securing online public services, substantial gaps remain in the implementation of international security standards and best practices. Many platforms continue to rely on outdated cryptographic protocols, misconfigured certificates, and unpatched vulnerabilities, leaving citizens and services vulnerable to cyber threats due to weaknesses that malicious actors can easily and inconspicuously identify. These insights emphasize the need for effective implementation of more comprehensive cybersecurity policies, proactive security assessments, and improved regulatory compliance checks. Additionally, this work provides actionable guidance for governments and system administrators to enhance the security of EGOV infrastructures by addressing persistent vulnerabilities and adopting robust cybersecurity practices.
{"title":"Assessing the information security posture of online public services worldwide: Technical insights, trends, and policy implications","authors":"Diogo Ribeiro , Vítor Fonte , Luis Felipe Ramos , João Marco Silva","doi":"10.1016/j.giq.2025.102031","DOIUrl":"10.1016/j.giq.2025.102031","url":null,"abstract":"<div><div>The fast global expansion of online public services has transformed how governments interact with citizens, offering convenience and efficiency. However, this digital transformation also introduces significant security risks, as sensitive data exchanged between users and service providers over public networks are exposed to cyber threats. Thus, ensuring the security and trustworthiness of these services is critical to the success of Electronic Government (EGOV) initiatives. This study evaluates the information security posture of 3068 public service platforms across all 193 UN Member States through non-intrusive assessments conducted in 2023 and 2024. The evaluation focuses on three key dimensions: (i) the adoption of secure end-to-end communication protocols, (ii) the trustworthiness of digital certificate chains, and (iii) the exposure of hosting servers to known vulnerabilities. The findings reveal that while some progress has been made in securing online public services, substantial gaps remain in the implementation of international security standards and best practices. Many platforms continue to rely on outdated cryptographic protocols, misconfigured certificates, and unpatched vulnerabilities, leaving citizens and services vulnerable to cyber threats due to weaknesses that malicious actors can easily and inconspicuously identify. These insights emphasize the need for effective implementation of more comprehensive cybersecurity policies, proactive security assessments, and improved regulatory compliance checks. Additionally, this work provides actionable guidance for governments and system administrators to enhance the security of EGOV infrastructures by addressing persistent vulnerabilities and adopting robust cybersecurity practices.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 2","pages":"Article 102031"},"PeriodicalIF":7.8,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918496","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 : 2025-06-01Epub 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.
确保弱势群体获得数字公共服务是数字政府和数字包容研究中的一个关键问题。绘制这一领域的研究轨迹对于促进学者和政策制定者之间的系统理解至关重要。本研究以更新的2020 PRISMA声明为指导，通过数据库识别、搜索策略制定、文章选择、数据提取、综合分析五个步骤进行系统的文献综述。在Web of Science、Scopus和DGRL三个数据库中检索2014年及以后发表的同行评议的实证研究。本研究以公共服务生态系统理论为理论视角，分析了研究主题的分布，构建了目标-行动框架。该框架不仅完善了公共服务中数字包容的概念，而且为利益相关者提供了实用指南。
{"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":"2025-06-01","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}
The ongoing conflict in Ukraine has triggered a humanitarian crisis, leading to a substantial increase in refugees. This situation presents a significant challenge for European countries, emphasizing the urgent need for effective refugee management strategies. Hence, effective decision-making is needed for the public sector to create a better livelihood for refugees. In this study, we propose using the concept of intelligence defined by Herbert Simon for effective refugee management. Following the Design Science Research Methodology, we utilize 58 semi-structured stakeholder interviews within Switzerland to identify problems and define design goals that facilitate intelligence in refugee management. Based on the design goals, we developed R2G – “Refugees to Government”, an application that utilizes community data and state-of-the-art NLP, including a chatbot interface, to offer an interactive dashboard for identifying refugee needs. The chatbot allows policymakers to interact with refugee data through dynamic, conversational queries, enabling real-time identification of refugee needs and providing data-driven intelligence. Our assessment of R2G, facilitated through 28 semi-structured interviews, resulted in four design principles for data-driven intelligence in refugee management: community-driven insight, spatial-temporal knowledge, multilingual data synthesis and visualization, and interactive data querying through chatbots. Additionally, we provide policy recommendations emphasizing the ethical use of community data, the integration of advanced NLP techniques in government processes, and the need for shifting governmental roles towards data analytics.
{"title":"Data-driven intelligence in crisis: The case of Ukrainian refugee management","authors":"Kilian Sprenkamp , Mateusz Dolata , Gerhard Schwabe , Liudmila Zavolokina","doi":"10.1016/j.giq.2024.101978","DOIUrl":"10.1016/j.giq.2024.101978","url":null,"abstract":"<div><div>The ongoing conflict in Ukraine has triggered a humanitarian crisis, leading to a substantial increase in refugees. This situation presents a significant challenge for European countries, emphasizing the urgent need for effective refugee management strategies. Hence, effective decision-making is needed for the public sector to create a better livelihood for refugees. In this study, we propose using the concept of intelligence defined by Herbert Simon for effective refugee management. Following the Design Science Research Methodology, we utilize 58 semi-structured stakeholder interviews within Switzerland to identify problems and define design goals that facilitate intelligence in refugee management. Based on the design goals, we developed R2G – “Refugees to Government”, an application that utilizes community data and state-of-the-art NLP, including a chatbot interface, to offer an interactive dashboard for identifying refugee needs. The chatbot allows policymakers to interact with refugee data through dynamic, conversational queries, enabling real-time identification of refugee needs and providing data-driven intelligence. Our assessment of R2G, facilitated through 28 semi-structured interviews, resulted in four design principles for data-driven intelligence in refugee management: community-driven insight, spatial-temporal knowledge, multilingual data synthesis and visualization, and interactive data querying through chatbots. Additionally, we provide policy recommendations emphasizing the ethical use of community data, the integration of advanced NLP techniques in government processes, and the need for shifting governmental roles towards data analytics.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 101978"},"PeriodicalIF":7.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136131","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 : 2025-03-01Epub 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":"2025-03-01","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 : 2025-03-01Epub Date: 2025-01-23DOI: 10.1016/j.giq.2025.102009
Huanhuan Li , Zongfeng Sun , Jiacheng Xi
While research has explored trust in algorithmic decision-making, the factors shaping civil servants' trust perceptions remain underexamined. Using public value theory and technology adoption frameworks, this study employs a survey experiment to analyze the effects of human-machine matching and algorithm regulation on civil servants' trust and adoption inclination. The findings indicate that both factors independently influence adoption inclination, with trust perceptions mediating this relationship, but no interaction effect is observed. Addressing gaps in technology acceptance and ethical frameworks, this study highlights the importance of algorithm regulation and human-machine matching in advancing algorithmic governance and achieving public value through procedural and performance dimensions, offering practical implications for policy and governance.
{"title":"Unveiling civil servants' preferences: Human-machine matching vs. regulating algorithms in algorithmic decision-making——Insights from a survey experiment","authors":"Huanhuan Li , Zongfeng Sun , Jiacheng Xi","doi":"10.1016/j.giq.2025.102009","DOIUrl":"10.1016/j.giq.2025.102009","url":null,"abstract":"<div><div>While research has explored trust in algorithmic decision-making, the factors shaping civil servants' trust perceptions remain underexamined. Using public value theory and technology adoption frameworks, this study employs a survey experiment to analyze the effects of human-machine matching and algorithm regulation on civil servants' trust and adoption inclination. The findings indicate that both factors independently influence adoption inclination, with trust perceptions mediating this relationship, but no interaction effect is observed. Addressing gaps in technology acceptance and ethical frameworks, this study highlights the importance of algorithm regulation and human-machine matching in advancing algorithmic governance and achieving public value through procedural and performance dimensions, offering practical implications for policy and governance.</div></div>","PeriodicalId":48258,"journal":{"name":"Government Information Quarterly","volume":"42 1","pages":"Article 102009"},"PeriodicalIF":7.8,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143136059","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}
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