Enabling AI capabilities in government agencies: A study of determinants for European municipalities

Artificial Intelligence (AI) is gradually becoming an integral part of the digital strategy of organizations. Yet, the use of AI in public organizations in still lagging significantly compared to private organizations. Prior literature looking into aspects that facilitate adoption and use of AI has concentrated on challenges concerning technical aspects of AI technologies, providing little insight regarding the organizational deployment of AI, particularly in public organizations. Building on this gap, this study seeks to examine what aspects enable public organizations to develop AI capabilities. To answer this question, we built an integrated and extended model from the Technology-Organization-Environment framework (TOE) and asked high-level technology managers from municipalities in Europe about factors that influence their development of AI capabilities. We collected data from 91 municipalities from three European countries (i.e., Germany, Norway, and Finland) and analyzed responses by means of structural equation modeling. Our findings indicate that five factors – i.e. perceived financial costs, organizational innovativeness, perceived governmental pressure, government incentives, regulatory support – have an impact on the development of AI capabilities. We also find that perceived citizen pressure and perceived value of AI solutions are not important determinants of AI capability formation. Our findings bear the potential to stimulate a more reflected adoption of AI supporting managers in public organizations to develop AI capabilities.     

An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia

Artificial Intelligence (AI) has been suggested to have transformative potential for public sector organizations through enabling increased productivity and novel ways to deliver public services. In order to materialize the transformative potential of AI, public sector organizations need to successfully assimilate AI in their operational activities. However, AI assimilation in the public sector appears to be fragmented and lagging the private sector, and the phenomena has really limited attention from academic research community. To address this gap, we adopt the case study approach to explore three Saudi-Arabian public sector organizations and analyze the results using the attention-based view of the organization (ABV) as the theoretical lens. This study elucidates the challenges related AI assimilation in public sector in terms of how organizational attention is focused situated and distributed during the assimilation process. Five key challenges emerged from the cases studied, namely (i) misalignment between AI and management decision-making, (ii) tensions with linguistics and national culture, (iii) developing and implementing AI infrastructure, (iv) data integrity and sharing, and (v) ethical and governance concerns. The findings reveal a re-enforcing relationship between the situated attention and structural distribution of attention that can accelerate the successful assimilation of AI in public sector organizations.     

Public engagement and AI: A values analysis of national strategies

Calls for public engagement and participation in AI governance align strongly with a public value management approach to public administration. Simultaneously, the prominence of commercial vendors and consultants in AI discourse emphasizes market value and efficiency in a way often associated with the private sector and New Public Management. To understand how this might influence the consolidation of AI governance regimes and decision-making by public administrators, 16 national strategies for AI are subjected to content analysis. References to the public's role and public engagement mechanisms are mapped across national strategies, as is the articulation of values related to professionalism, efficiency, service, engagement, and the private sector. Though engagement rhetoric is common, references to specific engagement mechanisms and activities are rare. Analysis of value relationships highlights congruence of engagement values with professionalism and private sector values, and raises concerns about neoliberal technology frames that normalize AI, obscuring policy complexity and trade-offs.     

Determinants of cyber-incidents among small and medium US cities

Cyber-incidents threaten the confidentiality, efficiency, and integrity of digital information systems, causing privacy risks, economic losses, and reputational damages, and exposing managerial limitations. Although these phenomena are becoming more frequent in public agencies, research to date has mainly focused on private sector organizations and individuals. In this study, we contribute to the broader literature on cyber-incidents by exploring the drivers of both security breaches and unauthorized data disclosures in public organizations. Drawing from routine activity theory, we develop hypotheses on the determinants of cyber-incidents in departments in small and medium-sized US cities and test them using data from a national survey of public managers. Our findings suggest that both environmental and organizational factors are key determinants of cyber-incidents in city government. The results demonstrate the application of routine activity theory to public sector organizations and identify external and internal elements related to cyber-incidents in city government departments.     

Whether AI adoption challenges matter for public managers? The case of Polish cities

A growing body of literature shows that despite the significant benefits of artificial intelligence (AI), its adoption has many unknowns and challenges. However, theoretical studies dominate this topic. Completing the recent works, this article aims to identify challenges faced by public organizations when adopting AI based on the PRISMA Framework and an empirical assessment of these challenges in the opinion of public managers using survey research. The adopted research procedure is also an added value because it could be replicated in other context scenarios. To achieve this paper's aim, the Systematic Literature Review (SLR) and survey research among authorities in 414 Polish cities were carried out. As a result, a list of 15 challenges and preventive activities proposed by researchers to prevent these challenges have been identified. Empirical verification of identified challenges allows us to determine which of them limit AI adoption to the greatest extent in public managers' opinion. These include a lack of strategy or plans to initial adoption / continued usage of AI; no ensuring that AI is used in line with human values; employees' insufficient knowledge of how to use AI; insufficient AI policies, laws, and regulations; and different expectations of stakeholders and partners about AI. These findings could help practitioners to prioritize AI adoption activities and add value to digital government theory.     

Technological frames,CIOs, and Artificial Intelligence in public administration: A socio-cognitive exploratory study in Spanish local governments

Artificial Intelligence (AI) policies and strategies have been designed and adopted in the public sector during the last few years, with Chief Information Officers (CIOs) playing a key role. Using socio-cognitive and institutional approaches on Information Technologies (ITs) in (public) organizations, we consider that the assumptions, expectations, and knowledge (technological frames) of those in charge (CIOs) of designing AI strategies are guiding the future of these emerging systems in the public sector. In this study, we focus on the technological frames of CIOs in the largest Spanish local governments. Based on a survey administered to CIOs leading IT departments, this article presents original data about their technological frames on AI. Our results: (1) provide insights about how CIOs tend to focus on the technological features of AI implementation while often overlook some of the social, political, and ethical challenges in the public sector; (2) expand the theory on AI by enabling the construction of propositions and testable hypotheses for future research in the field. Therefore, the comparative study of technological frames will be key to successfully design and implement AI policies and strategies in the public sector and to tackle future challenges and opportunities.     

The relationship between the online social anxiety,perceived information overload and fatigue,and job engagement of civil servant LINE users

In today's organizations, employees have an ever-growing variety of Instant Messaging (IM) technology to use to assist with the performance of their work activities. The use of an instant messenger (LINE) is popular in the government sector where immediate responses due to public pressure are expected; however, very little is known about the role of LINE in civil servants' work and its impact on their experiences. To address this gap, based on the media richness theory, this study aims to explore workers' online social anxiety, LINE cognitive fatigue (LCF) and perceived information overload of IM (PIOIM) affecting their job engagement. The data used in this study were collected from 429 civil servants in Taiwan via an online survey and were analyzed using structural equation modeling. The results show that online social anxiety is positively related to LCF and PIOIM. Respondents with higher LCF and PIOIM are less likely to be involved in job activities. Online social anxiety is negatively related to job engagement mediated by LCF and PIOIM. Considering the flexibility of using IM in communicating public affairs between civil servants, the flood of messages has to be reduced in order to increase job engagement.     

Virtuality,Technology Use,and Engagement Within Organizations

Multinational organizations are turning to collaborative technology to enable virtual organizational structures. While collaborative technology provides distributed workers with new affordances to form relationships and share knowledge, collaborative technology also has complex, interwoven implications for virtual organizing. To disentangle these concerns, this study considers four key dimensions of virtuality—spatial dispersion, temporal dispersion, dynamic structure, and functional diversity—in relation to technology use and engagement with peers within an organization. Survey data were collected in a multinational organization that facilitates work through extensive use of collaborative technology. The results of structural equation modeling reveal connections between two dimensions of virtuality, use of collaborative technology and peer engagement in the organization. Findings suggest that understanding interactions in virtual organizations requires a more nuanced approach to virtuality and active management of technology implementation. Moreover, the findings demonstrate that managers need to actively manage the deployment of new collaborative technology by focusing on specific characteristics of work groups.     

The Relationship Between Trait Affect and Job Attitudes in Library Employees

This research explores the relationship between employees’ disposition and several important job attitudes. Dispositional affect is a personality trait that describes people's emotional responses to situations. This study explored how affective disposition influences the job attitudes of work engagement, organizational commitment, and job satisfaction. Data were collected from a sample of librarians, and the results show that affective disposition strongly predicted the three job attitudes in the expected directions. The findings contribute to knowledge of the role of personality in the workplace and provide guidance for library managers on how best to facilitate positive job attitudes.     

Social media use in local government: Linkage of technology,task, and organizational context

Social media technologies have begun to enter the governmental workplace as tools to accomplish improved public service and engagement. Widespread recognition of the potential of social media technology for achieving public outcomes does not match our understanding about how and why specific tools are being used for specific purposes. This paper makes use of newly collected national survey data from local government managers in five different agencies to address the questions: which social media tools are being used, for which tasks or purposes; and what organizational characteristics influence the coupling of task and technology. Findings reveal patterns of social media tool application for particular purposes, although organizations do not all use social media tools in the same way. Moreover, regression analysis shows that different organizational factors – work characteristics, innovativeness, technology and management capacity and stakeholder influence – predict each of the four technology–task couplings — social media for dissemination, social media for feedback on service quality, social media for participation, and social media for internal work collaboration. This study demonstrates that social media tools are not a monolithic group and calls for greater research attention to the complex interactions among social media technology, task and organizational context.     

Public value creation in digital government

Public value theory offers innovative ways to plan, design, and implement digital government initiatives. The theory has gained the attention of researchers due to its powerful proposition that shifts the focus of public sector management from internal efficiency to value creation processes that occur outside the organization. While public value creation has become the expectation that digital government initiatives have to fulfil, there is lack of theoretical clarity on what public value means and on how digital technologies can contribute to its creation. The special issue presents a collection of six papers that provide new insights on how digital technologies support public value creation. Building on their contributions, the editorial note conceptualizes the realm of public value creation by highlighting: (1) the integrated nature of public value creation supported by digital government implementations rather than enhancing the values provided by individual technologies or innovations, (2) how the outcome of public value creation is reflected in the combined consumption of the various services enabled by technologies and (3) how public value creation is enabled by organizational capabilities and configurations.     

Towards end-to-end government performance management: Case study of interorganizational information integration in emergency medical services (EMS)

A recent line of e-government research has emphasized the importance of interorganizational information sharing in the public domain. This research extends these information-sharing dimensions to explore information sharing relative to service performance. It utilizes a time-critical information services (TCIS) conceptual framework as an analytical lens. TCIS highlights multiple dimensions of information sharing, including operational, organizational, and governance factors as well as timeliness and quality as key performance metrics. A case study approach was employed to examine the exchange of performance-related information in a key time information critical service: a county-wide emergency medical services (EMS) system. The paper first explains the theoretical foundations for the study, stemming from interorganizational systems (IOS) literature, e-government IOS, and even more specifically, IOS in emergency medical services (EMS). The paper discusses performance measures in EMS, describes the TCIS analytical lens, the study methodology, and the case study under investigation. Case study findings are reported along operational, organizational, and governance dimensions. In general, the case study illustrates promising factors that can enhance information sharing across organizations, while noting that considerable gaps remain in achieving an end-to-end IT-enabled performance approach. Future research should aim to better understand how to overcome these gaps, including addressing the usability constraints that can confront professionals working in time information critical circumstances, such as trauma conditions.     

Utilization of CSR to build organizations’ corporate image in Asia: need for an integrative approach

Corporate social responsibility (CSR) has been found to be a strong predictor of a favorable corporate image [Gray, 1986. Managing the corporate image: The key to public trust. London: Quorum Books]. Websites have become an essential communication platform [Dawkins, 2004. Corporate responsibility: The communication challenge. Journal of Communication Management, 9(2), 108–119]. This study aims to investigate how CSR can be used in enhancing organizational corporate image. Content analyses of 150 corporate websites of organizations in Asia headquartered in Singapore were conducted, followed by in-depth interviews with public relations (PR) practitioners to examine the motivations behind their CSR engagement. Findings showed that organizations utilized CSR as a means to enhance corporate image via four ways: Engaging in two-way conversations with stakeholders, adopting an inside-out communication approach with employees, recognizing the relevance of other CSR communication channels, and communicating CSR with authenticity. However, some organizations hesitate to use CSR communication to enhance their corporate image because they wanted to avoid being seen as using CSR as a promotional tool.     

Accounting for citizens when explaining open government effectiveness

Open government initiatives attempt to strengthen the relationship between public information disclosure and citizen engagement. Yet empirical assessments suggest they frequently miss their mark, thus highlighting a gap in open government knowledge: while a strong emphasis is placed on institutions in shaping the flow of government information and creating opportunities for engagement, there has been very little emphasis on understanding citizens and ways of communicating government information to draw them to engagement opportunities. To address this gap, we design a randomized survey experiment to demonstrate how the choice of reference points – cognitive anchors that innately influence the way individuals approach decisions – used to communicate government information can strengthen the relationship between public information disclosure and citizen engagement, and in turn the effectiveness of open government initiatives. We explain how these findings offer novel theoretical and practical insights into ways open government could be leveraged for purposes of enhancing citizen engagement.     

Information networks and social media use in public diplomacy: a comparative analysis of South Korea and Japan

This article examines how South Korean and Japanese public diplomacy organizations employ digital media to embrace the principle of ‘networked public diplomacy’ through analyses of the web and social media practices. A network analysis was used to map interorganizational information networks among core public diplomacy organizations in each country. To reveal the key organizations' communication strategies on Facebook, a content analysis was also conducted. The findings indicate that Japan had a strong internal network infrastructure achieved through dispersed connections and partnerships; however, Korea had a centralized network, including a limited number of dominant actors. The results of content analysis suggest that both South Korea and Japanese public diplomats focused on promoting their cultural products and national values through their use of texts and visual images. In addition, user profile analysis gaged the degree of users' engagement in the organizations' profiles and identified the demographic features of users. Comparative data suggest the Korean public diplomacy organization was more successful at attracting and engaging with foreign public than the Japanese public diplomacy organization. These results imply that although these two countries had similar sociopolitical backgrounds and perspectives of public diplomacy, they had distinct forms of internal information networks, communication strategies, and social networking performances with public.     

Organizational maturity for co-creation: Towards a multi-attribute decision support model for public organizations

The paper conceptualizes a multi-attribute decision support model for the assessment of organizational maturity for co-creation, specifically for public organizations. This is achieved on the basis of a systematic literature review (i.e. content analysis) and analysis of two European case studies of promising collaborative practices (from UK and Slovenia). The co-creation drivers and barriers elicited from these two sources are integrated in a decision support model, thus setting the layout of a multi-attribute decision support model for the assessment of organizational maturity for co-creation. The final model conceptualized here consists of 25 attributes or criteria grouped into three categories: organization capacity, staff capacity, and a wider political and normative context in which public organizations act.     

Audience Engagement,Reciprocity, and the Pursuit of Community Connectedness in Public Media Journalism

In light of the media industry’s growing focus on audience engagement, this article explores how online and offline forms of engagement unfold within journalism, based on a comparative case study of two American public media newsrooms. This study addresses gaps in the literature by (1) examining what engagement means for public media and (2) applying the concept of reciprocal journalism to evaluate the nature of reciprocity (direct, indirect, or sustained) in the give-and-take between journalists and their communities. Drawing on direct observation and in-depth interviews, this article shows how this emerging focus on engagement is driven by public media journalists’ desire to make their relationship with the public more enduring and mutually beneficial. We find that such journalists privilege offline modes of engagement (e.g., listening sessions and partnerships with local organizations) in hopes of building trust and strengthening ties with their community, more so than digital modes of engagement (e.g., social media) that are more directly tied to news publishing. Moreover, this case study reveals that public media organizations, in and through their engagement efforts, are distinguishing between the communities they cover in their reporting and the audiences they reach with their reporting.     

How and where is artificial intelligence in the public sector going? A literature review and research agenda

To obtain benefits in the provision of public services, managers of public organizations have considerably increased the adoption of artificial intelligence (AI) systems. However, research on AI is still scarce, and the advance of this technology in the public sector, as well as the applications and results of this strategy, need to be systematized. With this goal in mind, this paper examines research related to AI as applied to the public sector. A review of the literature covering articles available in five research databases was completed using the PRISMA protocol for literature reviews. The search process yielded 59 articles within the scope of the study out of a total of 1682 studies. Results show a growing trend of interest in AI in the public sector, with India and the US as the most active countries. General public service, economic affairs, and environmental protection are the functions of government with the most studies related to AI. The Artificial Neural Networks (ANN) technique is the most recurrent in the investigated studies and was pointed out as a technique that provides positive results in several areas of its application. A research framework for AI solutions for the public sector is presented, where it is demonstrated that policies and ethical implications of the use of AI permeate all layers of application of this technology and the solutions can generate value for functions of government. However, for this, a prior debate with society about the use of AI in the public sector is recommended.     

Critical factors for evaluating the public value of e-government in Sri Lanka

This paper aims to identify the critical factors for evaluating the public value of e-government in Sri Lanka from the perspective of the delivery of public services and the efficiency of public organizations. To fulfill these aims of the study, a conceptual framework is developed based on a comprehensive review of the related literature by considering the delivery of public services and the efficiency of public organizations. With the collected survey data from Sri Lanka, the conceptual framework is empirically tested and validated by performing a confirmatory factor analysis using structural equation modeling. The study shows that the delivery of quality information and services, user-orientation of information and services, efficiency and responsiveness of public organizations, and contributions of public organizations to the environmental sustainability are the critical factors for evaluating the public value of e-government in Sri Lanka. As the first study in examining the critical factors for evaluating the public value of e-government in Sri Lanka, the findings of the study would be of practical significance to the continuous development of e-government in Sri Lanka and other countries in the world.     

Contextualizing Nonprofits’ Use of Links on Twitter During the West African Ebola Virus Epidemic

This study investigates how nonprofit organizations use hyperlinks embedded in tweets for strategic communication during global health crises. Within the 1,494 links included in tweets about Ebola, organizations shared owned and earned media, including news stories directly or indirectly referencing their work and positive mentions from others on social media. Links allowed organizations to raise awareness about Ebola in West Africa, promote their work, and highlight endorsements from news media and influential users. Raising awareness and building trust are key steps in becoming credible sources during highly uncertain crises.