Search

By utilizing the properties of quantum mechanics, quantum computers have the potential to factor a key pair of a large prime number and break some of the core cryptographic primitives that most information infrastructures depend on. This means that today's widely used cryptographic algorithms can soon become unsafe and need to be modified with quantum-safe (QS) cryptography. While much work is still needed in developing QS cryptographic algorithms, the institutional, organizational, and policy aspects of transitioning the current infrastructures have received less attention. This paper provides an empirical analysis of QS transition challenges and policy recommendations for moving to a QS situation. We analyzed the data collected through interviews with experts and practitioners from the Dutch government. The results reveal that institutional, organizational and policy aspects of QS transitions are interconnected, and solutions for QS transitions are scattered. Consequently, organizations may face a Catch-22 loop without further actionable approaches and planning for QS transitions., Information and Communication Technology, Engineering, Systems and Services

Chatbots are radically redefining the customer service landscape. With the advent of AI-enabled chatbots, like ChatGPT, organizations are adopting chatbots to provide better customer services; however, the user experience has been given less attention. Building on IS success model and cognitive absorption theory, we posit that system and user characteristics enhance cognitive absorption amongst users, such that the relationship varies between anthropomorphic (e.g., human-like) and non-anthropomorphic chatbots. We undertook a cross-sectional comparative study, which was analyzed using PLS-SEM and fsQCA. Where PLS-SEM provided limited inferential insights about the differences between anthropomorphic and non-anthropomorphic chatbots, the FsQCA analysis resulted in three configurations of attributes for non-anthropomorphic and two configurations for anthropomorphic chatbots, which lead to higher cognitive absorption. The findings extend the existing literature, suggesting that anthropomorphic and non-anthropomorphic chatbots impact cognitive absorption through separate system and user characteristics configurations., Engineering, Systems and Services

A number of government agencies have started deploying the Metaverse to connect better with their constituents. The Metaverse provides a rich interaction environment and has the potential to engage with, especially, the younger generation. However, the Metaverse's potential impact on the government sector has been given limited attention. This discussion paper aims to fill this void by reviewing the state of the art, analyzing possible roles of the Metaverse for governments and providing research directions. We found six facilitators and nine barriers and risks. The Metaverse offers much more than a virtual presence or copy of the physical world; significant transformations are needed in government to reap the benefits. Given the evolution of the Metaverse, government presence also needs to evolve, and different governments make different decisions about their Metaverse presence. We recommend more research into the nature, use, applications, transformations, and implications of the Metaverse on government functioning., Engineering, Systems and Services

In Open Source Urbanism (OSU) citizens self-organize and create Do-It-Yourself (DIY) urban designs to address societal problems. Self-organized citizens develop these designs, but there is no support for the design process based on the co-creation and involvement of citizens. The latter are mainly non-experts. Three aspects characterize OSU: (1) OSU initiatives are initialized by citizens; (2) OSU initiatives are the new commons, are collectively created and managed by self-organized citizens; (3) to last, DIY should be accepted by or co-produced with the authorities as they can change the urban environment. This research offers a set of design principles to guide the cultivation of OSU infrastructures in the self-organized setting of urban commons. We derived the principles from an ethnographic study of an Amsterdam-based citizen initiative. This paper offers a set of design principles to guide the cultivation of OSU infrastructures in the self-organized setting of the urban commons. We introduce eight design principles: (1) Co-creation, (2) Trust-building, (3) Motivating, (4) Growing, (5) Showcasing, (6) Bridging, (7) Open-sourcing, and (8) Peer Production. By promoting self-organized, community-led development, our design principles offer guidelines for urban commons communities, academics, and decision-makers to work towards a shared vision of the future of inclusive cities. Building trust and gaining access to expertise are key aspects of OSU cultivation., Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Human-Centred Artificial Intelligence, Engineering, Systems and Services

Internal audit function (IAF) effectiveness can be improved by embracing Audit Analytics (AA). However, despite its promises, AA implementation remains limited. Although there is research on AA implementation in general, there needs to be an overview of insight into inhibiting and driving factors for internal auditing. This paper examines those driving and inhibiting factors by exploring the literature on AA implementation. The initial search revealed 98 uniquely identified papers. Further filtering and the additional search returned 42 articles, which were analyzed in detail. The analysis resulted in 12 driving and 23 inhibiting factors, grouped into internal, regulation, data, infrastructure, and audit practice categories. The literature shows that IAF encounters multiple and intertwined factors in AA implementation and needs to anticipate those factors. Moreover, AA implementation affects IAF’s parts and stakeholders differently, requiring internal and external collaboration. Building on these insights, we provide recommendations for further research., Information and Communication Technology, Engineering, Systems and Services, Organisation & Governance

Open government data (OGD) include the provision of government data, which have so far been reserved for the provision of public utilities and services, wherein different stakeholders may create value out of the same source. Recently, OGD initiatives around the world have dampened or were found to be inadequate for one or other reasons. The present study seeks to underline the root causes behind these inadequate or stalled initiatives with a specific focus on the developing countries. This article undertakes a literature review of the most significant studies in this area, followed by a root cause analysis wherein the database across Scopus and Web of Science has been explored with the set inclusion and exclusion criteria being set in line with the research focusing on the hinderances and bottlenecks behind the failure of OGD initiatives (n ~ 15), thus not only summarizing what has been revealed in previous studies but also identifying these “root-cause” relationships, which are responsible for the stalled OGD projects. A deep understanding of the literature on OGD shows that research of OGD barriers repeat each other. The results show that the main root causes include politico-administrative, social, technological, legal and organizational (inter- and intra) dimensions including aspects like state of the economy, infrastructural issues, the tendency to copy the OGD initiative without need to institutionalize the same, and so forth. Whereas a number of studies are available covering the barriers in the roll-out and implementation of OGD initiatives, the root causes behind the existence of these barriers have not been identified so far-the present study seeks to plug this gap. Besides being a contribution to the extant OGD literature in general, the study seeks to leave academic and practical implications for furthering up deliberations and discussions on the OGD themes with specific impetus upon the cause analysis of the failure in OGD initiatives and the manner in, Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services, Information and Communication Technology

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services

Corruption is widely spread and not easy to avoid. Blockchain-based smart contract technology enables the opportunity to develop transactions in such a way that corruption should not be possible. In this paper, we develop and evaluate an arrangement based on blockchain-based smart contracts to avoid and reduce corruption. Smart contracts are used for buying and selling goods, in which the public must agree that the goods arrived and are used to contribute to the creation of societal value. Only then will the supplier be paid. Al transaction data is stored in a blockchain and opened to the public to create transparency. In this way, the price of the good and the sellers can be inspected to avoid price manipulation and nepotism. The smart contract avoids the likelihood that corruption will happen, and it can be spotted if it happens., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services

The publication of Open Government Data (OGD) is expected to deliver economic value creation through innovation. In any OGD-based value creation, it is essential to formulate a value proposition (VP). However, previous literature has devoted little attention to the tools that support the formulation of OGD-based VP, and none has evaluated the performance of such tools with OGD infomediaries. In this article, we evaluate and compare the Business Model Canvas (BMC) and the Open Data Canvas (ODC) performance in supporting the formulation of VP. Questionnaire feedback was obtained from infomediaries who formulated OGD-based VP using the BMC and the ODC. The results show a superiority of either the BMC or the ODC in terms of perceived usefulness, depending on the focus of the feasibility evaluation of the VP. The ODC provides OGD-specific guidance on evaluating technical feasibility while the BMC covers economic feasibility more extensively. We recommend investigating the emerging field of OGD-based VP formulation tools by replicating our research with other types of infomediaries, in other settings, and completing it with qualitative insights., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services

The rapid rise in blockchain-based Decentralized Autonomous Organizations (DAOs) offers policy-makers and decision-makers new opportunities to automatically execute decisions and processes that help enhance transparency, accountability, participation and trust. Yet, many DAOs have a limited lifespan. There is little empirical evidence of the effect of governance elements on the viability of DAOs. Using 220 on-chain governed DAOs, this paper analyses how governance elements (accountability, decision/voting, and incentives) influence the viability of DAOs in the long-term. The findings show that DAOs without weighted decision-making and without incentive structures are more viable than those with weighted decision power and incentive mechanisms. This suggests that financial and share-like DAO governance elements do not or may even negatively contribute to the long-term viability of DAOs. Also, voting power distribution is found to have a statistically significant influence on DAOs’ viability. We further propose a preliminary theory that relates governance elements to the long-term viability of DAOs. These insights will help policy-makers in designing more viable DAOs. Future research should investigate how DAO objectives, the chosen deployment infrastructure and the type of users can impact the long-term viability of DAOs., Economics of Technology and Innovation, Engineering, Systems and Services, Information and Communication Technology

Open Government efforts are criticized for providing limited value. Instead of looking at a value, we investigate the usefulness of web-based open government portals and apps. Specifically, we investigated the relationship between digital transparency and usefulness. We analyzed perceived digital transparency and usefulness in a survey of 112 respondents using Partial Least Square (PLS) and Structural Equation Modelling (SEM). The results show that perceived functionality, transparency, and efficiency influence usefulness but that functionality of apps and efficiency are more important than transparency. Usefulness can be created without having high levels of transparency, as the public wants answers to their questions. Apps should be designed for efficient use, as users have limited time and resources. Apps having pre-defined functional views can be useful to provide quick insight but might limit transparency by not offering other views and insights. Opening raw data using portals can provide higher levels of transparency, although more time and effort are needed to analyze. Both portals providing access to raw data and apps having pre-defined views are needed for open government and transparency as they serve other stakeholder groups and purposes., Information and Communication Technology, Transport and Logistics, Engineering, Systems and Services

City digital transformation is being performed across the globe and it is being supported by several initiatives and policy groups. Nevertheless, this transformation is mainly technology oriented. Although there have been several interesting and impactful outcomes, like solutions for enhancing municipal efficiency and local living, the results lag behind expectations. Real transformation should also change structures and address the whole range from social to technical aspects. People-centricity in this transformation is an emerging topic that is attracting attention and some initiatives have launched. People-centric transformation can be defined as a multi-stakeholder approach to digital transformation that realizes sustainability, inclusiveness, prosperity, and human rights for the benefit of all. The aim of this special issue is to better understand all aspects of citizen centricity and how it can change the orientation of city digital transformation process. The special issue highlights the main elements of people-centricity in cities: inclusiveness, openness, engagement and empowerment via securing citizen awareness, data privacy, service simplification and transparency, and technological availability and observability., Engineering, Systems and Services

A machine learning model can often produce biased outputs for a familiar group or similar sets of classes during inference over an unknown dataset. The generalization of neural networks have been studied to resolve biases, which has also shown improvement in accuracy and performance metrics, such as precision and recall, and refining the dataset's validation set. Data distribution and instances included in test and validation-set play a significant role in improving the generalization of neural networks. For producing an unbiased AI model, it should not only be trained to achieve high accuracy and minimize false positives. The goal should be to prevent the dominance of one class/feature over the other class/feature while calculating weights. This paper investigates state-of-art object detection/classification on AI models using metrics such as selectivity score and cosine similarity. We focus on perception tasks for vehicular edge scenarios, which generally include collaborative tasks and model updates based on weights. The analysis is performed using cases that include the difference in data diversity, the viewpoint of the input class and combinations. Our results show the potential of using cosine similarity, selectivity score and invariance for measuring the training bias, which sheds light on developing unbiased AI models for future vehicular edge services., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services

Despite the increase in the number of blockchain-based Decentralized Autonomous Organizations (DAOs), there is no consensus on what constitutes a DAO. This paper provides an in-depth study of DAOs by analyzing their definitions, characteristics, and emerging developments. Existing definitions in the literature hardly recognize common functionalities and intermingle coded DAOs, DAO deployment platforms, and blockchain DAOs. We developed a comprehensive DAO definition by reviewing the literature and empirically analyzing 1,859 DAOs. The findings show that many DAOs were inactive and that a threshold of 20 tokenholders is a tipping point for DAOs to survive over time and maintain sustained levels of activity. Finally, based on an empirical analysis of 9,845 perceived DAOs, we identified the emerging development of off-chain voting. This emerging development challenges the autonomous nature of DAOs. We recommend further research to investigate the effect of governance structures on their long-term sustainability and viability for both on-chain and off-chain DAOs., Information and Communication Technology, Economics of Technology and Innovation, Engineering, Systems and Services

This is the 9th edition of the workshop series labeled "AW4City - Web Applications and Smart Cities", which started back in Florence in 2015 and kept on taking place every year in conjunction with the WWW conference series. Last year the workshop was held virtually in Lyon, France. The workshop series aims to investigate the Web and Web applications' role in establishing smart city (SC) promises. The workshop series aim to investigate the role of the Web and of Web applications in SC growth. This year, the workshop focuses on the role of the web in social coherence. cities appear to play a crucial role in securing humanity against social threats and generating sustainable and circular cities. In this regard, cities attempt to secure social sustainability and coherence (e.g., deal with affordable energy, poverty, hunger, equal opportunities in education, jobs, and health, etc.) and enhance their performance to become friendlier and able to host their increasing populations. Additionally, new types of business appear (e.g., for smart energy), while the co-existence of autonomous things and people generate another challenge that cities have started phasing. This workshop aims to demonstrate how web applications Apps can Web intelligence serve communities., Engineering, Systems and Services

The complex and uncertain environment of the humanitarian response to crises can lead to data bias, which can affect decision-making. Evidence of data bias in crisis information management (CIM) remains scattered despite its potentially significant impact on crisis response. To understand what biases emerge in complex crises and how they affect CIM, we conducted a combined interview and document analysis study. Focusing on the largest humanitarian crisis in the world, i.e., the conflict in Yemen, we conducted 25 interviews with managers and analysts of response organizations, and assessed 47 reports and datasets created by response organizations in Yemen. We find evidence of a cycle of bias reinforcement through which bias cascades between field, headquarters and donor levels of crisis response. Researchers, as well as practitioners, need to consider these underlying biases and reinforcement loops because they influence what data can be collected when, by whom, from whom, and how the data is shared and used. To the CIM literature, we contribute an in-depth understanding of how four types of data bias emerge in crises: political, accessibility, topical, and sampling bias., Organisation & Governance, Engineering, Systems and Services

Purpose: The opening of government data is high on the policy agenda of governments worldwide. However, data release faces barriers due to limited support of civil servants, whereas the literature neglects civil servants' role in opening data. This paper aims at understanding why civil servants can be reluctant to support the disclosure of data. The authors developed a model to explain civil servants' behavioral intention to open data. Design/methodology/approach: The authors test a series of hypotheses by collecting and analyzing survey data from 387 civil servants and by applying multivariate hierarchical regression. Findings: The results indicate the factors influencing the behavior of civil servants. Social influences, performance expectancy, data management knowledge and risks have a significant influence. Personal characteristics control these effects. Research limitations/implications: Caution is needed to generalize the findings towards the support to open data provision by civil servants. Though the analyzed sample was limited to Brazil, other countries and cultures might yield different outcomes. Larger and more diversified samples might indicate significant effects on variables not found in this research. Practical implications: The insights can be used to develop policies for increasing the support of civil servants towards governmental data disclosure. Originality/value: This study suggests factors of influence to civil servants' behavior intentions to disclose governmental data. It results in a model of factors, specifically for their behavioral intention at the individual level., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Transport and Logistics, Information and Communication Technology, Real Estate Management, Engineering, Systems and Services

Algorithmic and data-driven systems are increasingly used in the public sector to improve the efficiency of existing services or to provide new services through the newfound capacity to process vast volumes of data. Unfortunately, certain instances also have negative consequences for citizens, in the form of discriminatory outcomes, arbitrary decisions, lack of recourse, and more. These have serious impacts on citizens ranging from material to psychological harms. These harms partly emerge from choices and interactions in the design process. Existing critical and reflective frameworks for technology design do not address several aspects that are important to the design of systems in the public sector, namely protection of citizens in the face of potential algorithmic harms, the design of institutions to ensure system safety, and an understanding of how power relations affect the design, development, and deployment of these systems. The goal of this workshop is to develop these three perspectives and take the next step towards reflective design processes within public organisations. The workshop will be divided into two parts. In the first half we will elaborate the conceptual foundations of these perspectives in a series of short talks. Workshop participants will learn new ways of protecting against algorithmic harms in sociotechnical systems through understanding what institutions can support system safety, and how power relations influence the design process. In the second half, participants will get a chance to apply these lenses by analysing a real world case, and reflect on the challenges in applying conceptual frameworks to practice., Information and Communication Technology, Engineering, Systems and Services

Literature suggests advantages of Peer-to-peer (P2P) lending systems over conventional banking credit, such as better credit scoring, and direct interaction of lenders-borrowers. Fintech P2P lending companies can process scattered individual information using advanced statistical methods and serve unreached market segments improving inclusiveness in society. Establishing inclusive P2P lending systems remains challenging, however, there is no systematic overview of such design challenges. Failure in designing an inclusive system creates a system that remains exclusive for some parts of society which hinders them from increasing economic transactions or even continuing business as usual due to limited funds. This research aims to identify the challenges in designing P2P lending systems that block inclusiveness in society. We conducted a systematic literature review followed by semi-structured interviews with financial inclusions and P2P lending systems experts. Our review found a variety of challenges in designing inclusive P2P lending systems. We classify the challenges into six categories. The main challenges are related to trust in the systems, literacy, and data issues., Information and Communication Technology, Engineering, Systems and Services

As the development of quantum computers advances, actors relying on public key infrastructures (PKI) for secure information exchange are becoming aware of the disruptive implications. Currently, governments and businesses employ PKI for many core processes that may become insecure or unavailable when quantum computers break the cryptographic algorithms foundational to PKI. While standardization institutes are currently testing quantum safe cryptographic algorithms, there are no globally agreed-upon cryptographic solutions available. Actors looking to prepare for the implementation of quantum safe cryptographic algorithms lack methods that allow for collective planning and action across organizations, sectors, and nations. The goal of this policy paper is to elicit requirements for a serious game on QS PKI, and derive policy guidelines that actors can use to prepare and formulate governance arrangements. We followed a two-step approach, drawing on technology threat avoidance theory and collective action theory, followed by empirical grounding through a focus group. The results from the literature confirm that a serious game could be a suitable governance mechanism for QS PKI. The focus group results discussed 12 requirements and the requirement's relation to the theoretical background. From this, the findings section arrived at four policy guidelines derived from the requirements that can function as focus areas for further requirement development and as input for policy makers. The policy guidelines concluded are (1) prioritize increasing collective awareness through emphasizing social networks, (2) acknowledge the interdependencies in migrating towards QS PKI, (3) create an understanding of the technical standards in the field and their issuers, and (4) being highly realistic with both negative and positive scenarios to center the players' understanding of real-world impact., Information and Communication Technology, Engineering, Systems and Services

Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy intelligent algorithms and AI models. The sensors mentioned above can produce large volumes of data, potentially reaching up to 20 Terabytes. This data size is influenced by factors such as the duration of driving, the data rate, and the sensor specifications. Consequently, this substantial amount of data can lead to significant power consumption on the vehicle. Similarly, a substantial amount of data will be exchanged between infrastructure sensors and vehicles for collaborative vehicle applications or fully connected autonomous vehicles. This communication process generates an additional surge of energy consumption. Although the autonomous vehicle domain has seen advancements in sensory technologies, wireless communication, computing and AI/ML algorithms, the challenge still exists in how to apply and integrate these technology innovations to achieve energy efficiency. This survey reviews and compares the connected vehicular applications, vehicular communications, approximation and Edge AI techniques. The focus is on energy efficiency by covering newly proposed approximation and enabling frameworks. To the best of our knowledge, this survey is the first to review the latest approximate Edge AI frameworks and publicly available datasets in energy-efficient autonomous driving. The insights from this survey can benefit the collaborative driving service development on low-power and memory-constrained systems and the energy optimization of autonomous vehicles., Information and Communication Technology, Multi Actor Systems, Engineering, Systems and Services

Information and Communication Technology, Engineering, Systems and Services

Emerging technologies are both a cause of many grand societal challenges (GSCs) facing twenty-first-century societies and an integral part of some of their most promising solutions. As an element of the GSCs, technology becomes intertwined with several interrelated issues that constitute the GSCs. This calls for approaches to Technology Assessment (TA) that account for the paradoxical role of technology in the GSCs, and the imperative and complexity of pointing technological innovation toward addressing the GSCs. In this introduction to the special issue, we identify three major streams in TA research and practice, namely TA as a policy instrument, a deliberation process, and an issue field. These streams highlight tensions between relying on experts and on the inclusion of various stakeholders in TA processes, and between a TA framing around the intersection of technology and critical issues around critical issues, such as those constituting the GSCs. We discuss the advantages and challenges of each stream. We also outline and discuss key principles for conducting TA in the context of GSCs. We end by introducing the four papers that constitute this special issue., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services

The quantum computing-based threats call for a critical information infrastructure to modify widely used cryptographic algorithms to ones that are quantum-safe (QS). Yet, little scholarly research has been undertaken to study QS transition, and the guidance to prepare for socio-technical predicaments of the transition falls short. To address the gaps, the paper aims to determine the contextual interaction between QS transition challenges and classify these challenges into driving power and dependency power. In doing so, we use an integrated Interpretive Structural Modelling (ISM)-Matrice d'Impacts Croisés Multiplication Appliqués à un Classement (MICMAC) approach. The results of ISM-MICMAC analysis indicate that the dominant challenges that organizations need to prioritize are establishing a clear QS transition governance and collaborations in the ecosystem. The findings show that it is crucial for organizations to understand the ecosystem making up the critical information infrastructure they are operating in and collaboratively navigate the action approaches for the QS transition. This also implies that preparation for the QS transition not only includes developing QS solution standards but also requires well-defined roles and responsibilities for various actors in the ecosystem., Information and Communication Technology, Engineering, Systems and Services

Purpose: It has been underscored in the extant literature that open government data (OGD) has not percolated across the length and breadth of any country, let alone the awareness of the OGD among the stakeholders themselves. In this vein, this study aims to underline the reasons as to why OGD promotion merits consideration apart from underlining the manner in which OGD promotion may be done. Design/methodology/approach: Based on literature review on the OGD conceptual models and government promotion initiatives, the study further sketches an OGD model across four quadrants: beginners, followers, fast-trackers, trend-setters on the basis of the progress made in their OGD initiatives besides underlining the four elements of OGD promotional strategy as media, arena, substance and stakeholders. Also, the study explores the drivers and barriers to OGD promotional initiatives. Findings: The study shows that across the OGD quadrants, the promotional strategies vary in terms of the 4As (acceptability, affordability, accessibility and awareness), and the same get reflected across MASS. Further, the drivers for OGD promotional initiatives are building citizens’ trust and forging stakeholder participation and collaboration in administration, thereby furthering transparency in administration, meeting the needs of the stakeholders, providing the desired impetus to value creation and innovation by the stakeholders and the need for furthering economic growth. Likewise, the barriers toward OGD promotion are linked with the lack of political will, lack of organizational leadership, mission and vision, lack of involvement of government departments, lack of budget and lack of requisite infrastructure for promotion. Originality/value: Hitherto, OGD research has underscored the need to make the users aware of the potential of OGD initiative; however, no study has been undertaken to understand the manner in which the awareness may be driven among the users – the present study is a first, Engineering, Systems and Services

Transformative artificially intelligent tools, such as ChatGPT, designed to generate sophisticated text indistinguishable from that produced by a human, are applicable across a wide range of contexts. The technology presents opportunities as well as, often ethical and legal, challenges, and has the potential for both positive and negative impacts for organisations, society, and individuals. Offering multi-disciplinary insight into some of these, this article brings together 43 contributions from experts in fields such as computer science, marketing, information systems, education, policy, hospitality and tourism, management, publishing, and nursing. The contributors acknowledge ChatGPT's capabilities to enhance productivity and suggest that it is likely to offer significant gains in the banking, hospitality and tourism, and information technology industries, and enhance business activities, such as management and marketing. Nevertheless, they also consider its limitations, disruptions to practices, threats to privacy and security, and consequences of biases, misuse, and misinformation. However, opinion is split on whether ChatGPT's use should be restricted or legislated. Drawing on these contributions, the article identifies questions requiring further research across three thematic areas: knowledge, transparency, and ethics; digital transformation of organisations and societies; and teaching, learning, and scholarly research. The avenues for further research include: identifying skills, resources, and capabilities needed to handle generative AI; examining biases of generative AI attributable to training datasets and processes; exploring business and societal contexts best suited for generative AI implementation; determining optimal combinations of human and generative AI for various tasks; identifying ways to assess accuracy of text produced by generative AI; and uncovering the ethical and legal issues in using generative AI across different contexts., Engineering, Systems and Services

Open data has many potential benefits including stimulating innovation, enhancing accountability and transparency, and improving the reproducibility and dissemination of research (Janssen et al., 2012; Uhlir and Schröder, 2007; Zhu et al., 2019). However, there are various shortcomings in the current open data initiatives such as the mismatch between the supply and demand of open data, the lack of appropriate software to process data, and confusion regarding data licenses (Johnson et al., 2017; van Loenen et al., 2021). The role of open data intermediaries is considered important to address these weaknesses. Open data intermediaries facilitate the use of and access to open data (Chattapadhyay, 2014; González-Zapata and Heeks, 2015) and build connections among open data stakeholders (Mayer-Schönberger and Zappia, 2011). It follows that open data intermediaries are regarded as one of the priority areas in open data research (Davies and Perini, 2016). Nevertheless, in-depth studies on open data intermediaries are scarce. Within the limited studies, they are found to face several challenges that may undermine their potential contribution to other open data stakeholders. For example, lack of financial planning (Flores, 2020), over-reliance on volunteers (Reggi and Dawes, 2016), and difficulty in securing data experts (Andrason and van Schalkwyk, 2017). Some of these challenges are associated with the lack of development of open data intermediaries’ business models (Kitsios et al., 2021; Reggi and Dawes, 2016). Before any research-based development of their business models can be carried out, a clear view of the existing business models is needed. Given this, the objective of this extended abstract is to review existing business models of open data intermediaries from the academic literature through a systematic literature review (SLR). Section 2 provides a brief background on the concept of a business model. Section 3 describes the research method. Section 4 presents the, Urban Data Science, Engineering, Systems and Services

Managers increasingly seek ways to explore insights from data for business improvements and innovation. Data Analytics (DA) platforms hold promise for businesses, especially small businesses that cannot afford tailor-made proprietary analytics services. DA platforms offer generic analytics features to a pool of businesses, saving costs and enabling benchmarking. This paper explores value propositions and adoption challenges for small businesses regarding DA. The paper offers practical insights from designing and launching a DA platform targeting small businesses in the hospitality sector. The findings of our paper show that data analytics is potentially valuable for small businesses through insights into market and customer trends. Small businesses can leverage such insights to refine their offerings. Trust and privacy concerns in sharing data are key challenges holding back adoption. We proposed measures, especially privacy-preserving technologies, to mitigate the risk of tracing a specific enterprise's data shared on the DA platform. These measures assure businesses that data shared or analysed through the DA platform is not used to harm their competitive advantage., Information and Communication Technology, Engineering, Systems and Services

Open data can support the creation of new services, facilitate research, and provide insights into everyday issues affecting citizens. Although public administrations are making efforts to create sustainable and inclusive open data systems, there is limited capacity to identify suitable datasets, clean, release, and reuse them. Serious games offer a possible solution for data capacity building and have already been used to train civil servants and citizens on the topic of open data. This research presents a review of serious games and discusses their potential for data capacity building. The games selected in the review are classified and described according to their different learning outcomes, formats, and type of media. Most serious games found in this review can be categorized as teaching games and are designed to raise data awareness, which is only a limited aspect of building data capacity. We found a lack of design games, research games, and policy games. Given their success for ideation in other fields, design games offer a particular opportunity to build data capacity by generating new ideas about how to reuse open datasets., Design Conceptualization and Communication, Information and Communication Technology

Expectations to derive value from open data are high. However, how value is created from open data is still largely unknown. Open data value is usually generated in constellation of actors in which each player has different capabilities and roles. To understand the open data value creation process, the business model canvas is introduced in this article. The typical components of the business model canvas and open data value creation are derived from the literature. By combining these two research streams, the open data value model canvas is created. The case of Coronavirus disease 2019 (COVID-19) worldwide dashboard developed by the Johns Hopkins University is used to evaluate the model's utility. Key components of the open data value model are creating an overview of various data sources from public and private organizations, having capabilities to combine heterogeneous data, and connecting data and needs. In this way, the open data canvas helps to grasp the value creation logic., Information and Communication Technology

Government agencies are becoming more data-driven and need high-quality data to fulfill their roles in society. In the past, each agency organized its own data exchange system according to its own needs. Today, data is distributed over many organizations, and government agencies need to adopt an ecosystem approach for data exchange. Fundamental in the ecosystem approach is the dependence on other parties for the execution of stewardship strategies. Data-driven government agencies increasingly depend on other organizations for high-quality data and data stewardship across organizations is becoming more critical. While there is ample research on data stewardship within organizations, little is known about data stewardship in ecosystems. More specifically, it is unclear which data stewardship strategies government agencies can employ in ecosystems. The main goal of this explorative paper is to identify and compare data stewardship strategies used in empirical government-business ecosystems. Following an explorative case study approach, this paper reveals three different configurations of inter-organizational data stewardship: 1) the government-led ecosystem, 2) the government-business-led ecosystem, and 3) the regulation-led ecosystem. The case studies expose a wide array of data stewardship strategies across ecosystems. While the ecosystem approach provides advantages such as cost-sharing and innovation by private parties, government agencies become increasingly dependent on private parties to gain high-quality data and provide distributed infrastructure components. Maximizing the benefits and minimizing the risks of the ecosystem approach requires government agencies to be cautious when selecting a specific ecosystem configuration., Information and Communication Technology

The desk rejection of submitted articles can be a hugely frustrating and demotivating process from the perspective of the researcher, but equally, a time-consuming and vital step in the process for the Editor, tasked with selecting appropriate articles that meet the required criteria for further review and scrutiny. The feedback from journal Editors within this editorial, highlights the significant gaps in understanding from many academics of the journal assessment process and acceptance criteria for progression to the review stage. This editorial offers a valuable “lived-in” perspective on the desk rejection process through the lens of the Editor, via the differing views of nine leading journal Editors. Each Editor articulates their own perspectives on the many reasons for desk rejection, offering key insight to researchers on how to align their submissions to the specific journal requirements and required quality criteria, whilst demonstrating relevance and contribution to theory and practice. This editorial develops a succinct summary of the key findings from the differing Editor perspectives, offering a timely contribution of significant value and benefit to academics and industry researchers alike., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology

Governments look at explainable artificial intelligence's (XAI) potential to tackle the criticisms of the opaqueness of algorithmic decision-making with AI. Although XAI is appealing as a solution for automated decisions, the wicked nature of the challenges governments face complicates the use of XAI. Wickedness means that the facts that define a problem are ambiguous and that there is no consensus on the normative criteria for solving this problem. In such a situation, the use of algorithms can result in distrust. Whereas there is much research advancing XAI technology, the focus of this paper is on strategies for explainability. Three illustrative cases are used to show that explainable, data-driven decisions are often not perceived as objective by the public. The context might raise strong incentives to contest and distrust the explanation of AI, and as a consequence, fierce resistance from society is encountered. To overcome the inherent problems of XAI, decisions-specific strategies are proposed to lead to societal acceptance of AI-based decisions. We suggest strategies to embrace explainable decisions and processes, co-create decisions with societal actors, move away from an instrumental to an institutional approach, use competing and value-sensitive algorithms, and mobilize the tacit knowledge of professionals, Organisation and Governance, Multi Actor Systems, Information and Communication Technology

The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the metaverse and offer some insight to the potential socio-economic impact of a fully functional persistent cross platform metaverse. Separating the hype and “meta…” rebranding from current reality is difficult, as “big tech” paints a picture of the transformative nature of the metaverse and how it will positively impact people in their work, leisure, and social interaction. The potential impact on the way we conduct business, interact with brands and others, and develop shared experiences is likely to be transformational as the distinct lines between physical and digital are likely to be somewhat blurred from current perceptions. However, although the technology and infrastructure does not yet exist to allow the development of new immersive virtual worlds at scale - one that our avatars could transcend across platforms, researchers are increasingly examining the transformative impact of the metaverse. Impacted sectors include marketing, education, healthcare as well as societal effects relating to social interaction factors from widespread adoption, and issues relating to trust, privacy, bias, disinformation, application of law as well as psychological aspects linked to addiction and impact on vulnerable people. This study examines these topics in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds on many aspects of the metaverse and its transformational impact. The paper concludes by proposing a future research agenda that is valuable for researchers, professionals and policy makers alike., Information and Communication Technology

Governmental organisations use a diversity of policy instruments for sustainability goals. In the field of materials, they aim to advance the reuse of materials on the one hand. On the other hand, they also want to control critical raw materials (CRMs) to protect society against scarcity. Information sharing is required to monitor for both objectives. Research into information sharing for the circular economy mainly focuses on using ICT to follow entire products, such as digital product passports. However, research into information sharing for reuse flows and monitoring at the level of materials is limited so far. Therefore, in this paper, we derive the following requirements for information sharing to support the monitoring of materials and CRMs in particular: 1) businesses and government organisations should have access to the complete history of materials; 2) businesses should be able to share information on materials between different supply chains and industries; 3) information on materials should be reliable and tamper-resistant; 4) governments should be able to obtain a complete overview of the pool of CRMs in circulation and of who is responsible for them; 5) the system supporting the information sharing on materials should be highly robust and should not have a single locus of control. Based on this overview of requirements, we present a research agenda in which we identify challenges and related future research questions., Information and Communication Technology

Governments are increasingly using games for civic engagement, decision making, and education. Serious gaming is a type of game that has often been advocated as a means for changing the attitude of its players and can be used for changing the attitude of civil servants. However, the relationship between games and attitude change in civil servants remains unexplored. This paper aims at identifying factors leading to attitude change of civil servants. As hardly any paper is focused on civil servants' attitude change through games, the authors broaden their research to attitude change through games in general. Out of 483 documents, 19 reference papers were analyzed in detail. Eighty-one games were found, and more than 13 different theories were identified containing 30 different influencing factors, which were found mostly to be unrelated and context-dependent. The conceptual dispersion between studies indicates that the resulting overview of factors is a first step towards creating a uniform theory. The results can help governments to design better games., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Transport and Logistics, Information and Communication Technology, Engineering, Systems and Services

This article introduces a business model for big and open linked data in smart and circular cities, laying the foundation of a new approach that generates societal, business, and public value., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Engineering, Systems and Services

Les administrations adoptent de plus en plus des politiques d’ouverture des données. Toutefois, les agents publics jugent difficile de respecter ces nouvelles politiques. Les jeux peuvent les aider à pratiquer l’ouverture des données et à modifier leur comportement en faveur d’une plus grande ouverture. Dans cet article, nous évaluons l’effet d’un jeu dans le cadre d’une expérimentation qui compare, avant et après l’intervention, plusieurs facteurs ayant une incidence sur l’ouverture des données. Les bénéfices observés sont inattendus à plusieurs égards. Le jeu a permis de partager des connaissances dans les domaines de la gestion, de la confidentialité et de la sécurité des données, de modifier de manière significative les bénéfices perçus, et de faire évoluer de manière positive l’intention de comportement. Remarques à l’intention des praticiens Le comportement des agents publics a une incidence sur la façon dont les politiques publiques sont mises en œuvre. Pour beaucoup, la diffusion de données publiques par les administrations est fondamentale pour accroître la transparence publique et la participation des citoyens, et pour ouvrir de nouvelles perspectives économiques. Les jeux peuvent influer sur l’attitude des agents publics, et donc modifier les décisions des administrations. Transmettre des connaissances et fournir des enseignements tirés de nouvelles expériences peut influencer l’attitude des agents publics à l’égard des données ouvertes. Les administrations peuvent également utiliser les jeux à cette fin., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Transport and Logistics, Information and Communication Technology, Engineering, Systems and Services

This is the 8th edition of the workshop series labeled "AW4City - Web Applications and Smart Cities", which started back in Florence in 2015 and kept on taking place every year in conjunction with the WWW conference series. Last year the workshop was held virtually in Ljubljana, Slovenia. The workshop series aims to investigate the Web and Web applications' role in establishing smart city (SC) promises. The workshop series aim to investigate the role of the Web and of Web applications in SC growth. This year, the workshop focuses on the role of the web in smart environment. In the era of cities and under the UN 2030 Agenda and the European Green deal for sustainable growth, cities appear to play crucial role in securing humanity against environmental threats and generate sustainable and circular cities. In this regard, cities attempt to improve their forms (e.g., more compact, and eco-friendlier) and performance to become friendlier and able to host their increasing populations. Additionally, new types of business appear (e.g., that utilize IoT and data, manage e-waste and recycle), while the co-existence of autonomous things and people generate another challenge that cities have been started phasing. This workshop aims to demonstrate how web applications, Apps and Web Intelligence can serve smart environment in general., Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology

The role of open data intermediaries is considered instrumental in the supply and use of open data. There are various definitions of open data intermediaries in the literature and some of them are quite different from each other. These definitions can benefit from harmonization so knowledge about open data intermediaries can be developed on top of a shared understanding of what open data intermediaries mean. The objective of this article is to propose a common definition of open data intermediaries. We first carried out a systematic literature review and compiled the definitions of open data intermediaries from the literature. We found that each definition can be broken down into four basic components: (i) Who are the actors of open data intermediaries? (ii) What do they do? (iii) Where are they located in the open data lifecycle? and (iv) Why are they needed? We then conducted another round of data gathering and analysis to substantiate the four basic components. We proposed the following common definition of open data intermediaries: Third-party actors who provide specialized resources and capabilities to (i) enhance the supply, flow, and/or use of open data and/or (ii) strengthen the relationships among various open data stakeholders., Urban Data Science, Engineering, Systems and Services

Various AI systems have taken a unique space in our daily lives, helping us in decision-making in critical as well as non-critical scenarios. Although these systems are widely adopted across different sectors, they have not been used to their full potential in critical domains such as the healthcare sector enabled by the Internet of Things (IoT). One of the important hindering factors for adoption is the implication for accountability of decisions and outcomes affected by an AI system, where the term accountability is understood as a means to ensure the performance of a system. However, this term is often interpreted differently in various sectors. Since the EU GDPR regulations and the US congress have emphasised the importance of enabling accountability in AI systems, there is a strong demand to understand and conceptualise this term. It is crucial to address various aspects integrated with accountability and understand how it affects the adoption of AI systems. In this paper, we conceptualise these factors affecting accountability and how it contributes to a trustworthy healthcare AI system. By focusing on healthcare IoT systems, our conceptual mapping will help the readers understand what system aspects those factors are contributing to and how they affect the system trustworthiness. Besides illustrating accountability in detail, we also share our vision towards causal interpretability as a means to enhance accountability for healthcare AI systems. The insights of this paper shall contribute to the knowledge of academic research on accountability, and benefit AI developers and practitioners in the healthcare sector., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services

Fraud analytics refers to the use of advanced analytics (data mining, big data analysis, or artificial intelligence) to detect fraud. While fraud analytics offers the promise of more efficiency in fighting fraud, it also raises legal challenges related to data protection and administrative law. These legal requirements are well documented but the concrete way in which public administrations have integrated them remains unexplored. Due to the complexity of the techniques applied, it is crucial to understand the current state of practice and the accompanying challenges to develop appropriate governance mechanisms. The use of advanced analytics in organizations without appropriate organizational change can lead to ethical challenges and privacy issues. The goal of this article is to examine how these legal requirements are addressed in public administrations and to identify the challenges that emerge in doing so. For this, we examined two case studies related to fraud analytics from the Belgian Federal administration: the detection of tax frauds and social security infringements. This article details 15 governance practices that have been used in administrations. Furthermore, it highlights the complexity of integrating legal requirements with advanced analytics by identifying six key trade-offs between fraud analytics opportunities and legal requirements., Engineering, Systems and Services

Algorithmic systems used in public administration can create or reinforce digital cages. A digital cage refers to algorithmic systems or information architectures that create their own reality through formalization, frequently resulting in incorrect automated decisions with severe impact on citizens. Although much research has identified how algorithmic artefacts can contribute to digital cages and their unintended consequences, the emergence of digital cages from human actions and institutions is poorly understood. Embracing a broader lens on how technology, human activity, and institutions shape each other, this paper explores what design practices in public organizations can result in the emergence of digital cages. Using Orlikowski’s structurational model of technology, we found four design practices in observations and interviews conducted at a consortium of public organizations. This study shows that design processes of public algorithmic systems (1) are often narrowly focused on technical artefacts, (2) disregard the normative basis for these systems, (3) depend on involved actors’ awareness of socio-technics in public algorithmic systems, (4) and are approached as linear rather than iterative. These four practices indicate that institutions and human actions in design processes can contribute to the emergence of digital cages, but also that institutional – opposed to technical – possibilities to address their unintended consequences are often ignored. Further research is needed to examine how design processes in public organizations can evolve into socio-technical processes, can become more democratic, and how power asymmetries in the design process can be mitigated., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services

Non-profit organisations (NPOs) are one type of open data intermediaries connecting different actors in the open data ecosystem. They perform a number of activities, from requesting the government to open up the data to application development. Such activities can have an effect on open data usability barriers that other actors in the open data ecosystem encounter. The objective of this study is to systematically review the literature on the influence of NPOs' activities on the usability barriers for open data users in the open data ecosystem. The authors identified and analysed fourteen relevant papers. This study shows that NPOs conduct various activities that relate to different intermediary roles in the open data ecosystem, which in turn can affect certain usability barriers. Moreover, NPOs may perform different activities depending on the type of open data they work with. However, the connection between the activities and open data usability barriers for open data users cannot be clearly established from the selected articles, as most of them do not focus on establishing such a link. This review highlights a literature gap in relation to NPOs' activities and their effects on open data usability., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services

Governments want to improve the economy by extending the market of financial credit. Recently, Peer-To-peer (P2P) lending credit scoring systems have gained more attention for advancing society; however, the role of governments in ensuring fair access to such a system is not known. This work aims to understand better the public values for trustworthy P2P lending systems. Public values should provide the basis to which a P2P lending system should adhere. Credit scoring in P2P lending is not merely about the technology in creating a profitable system for all participants. Several public values are of relevance. Understanding credit scoring in P2P lending is crucial to ensure inclusiveness, trustworthiness, fairness, equal treatment, and accountability., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services

Blockchain-based Decentralized Autonomous Organizations (DAOs) are systems for transacting and storing value by automatically executing a function without the need for trusted, centralized authorities. Participative budgeting requires voting about budget allocation by communities and is often confronted with issues in trust and transparency. Yet, DAOs are hardly used for participative budgeting. In this research, we introduce Decentralized Autonomous Citizen Participation Organizations (DACPOs). In a DACPO, data and actions are recorded and autonomously executed in a decentralized way. DACPOs can be used for enabling participative budgeting and thereby provide transparency, decrease the risks of fraud and corruption, and increase citizens' trust. The viability of DACPOs depends on a number of factors, including a minimum number of citizens who participate. In further research, factors influencing the use of DACPOs for participative budgeting can be further analyzed and tested., Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public., Information and Communication Technology, Engineering, Systems and Services, Economics of Technology and Innovation