Digital Identity Interoperability and eInnovation

This paper, one of three case studies in a transatlantic research project exploring the connection between Information and Communication Technology interoperability and eInnovation, considers the current state and possible evolution of Digital Identity. While consumers would undoubtedly reap convenience benefits from an ubiquitous single sign-on (SSO) technology, the potential for privacy and security issues makes Digital ID a complex issue. The user-centric, federated, and centralized models of Digital ID each have their advantages and drawbacks. While a few companies have previously attempted to establish a single Digital ID standard that they would control, the failure of those efforts has led to a situation where most players in the industry seem to see interoperability as essential to build up the market in the face of frequent ambivalence from consumers, e-commerce merchants, and other potential users. Broadly, Digital ID could enable a wide range of new Web-based applications, increasing consumers' flexibility and reducing transactions costs. However, having Digital ID be too ubiquitous could threaten the continued viability of anonymous speech in some contexts. It could also lead to more entities having greater access to personal data of consumers, raising the stakes of potential data breaches. The paper concludes that the route to interoperability most likely to lead to innovation would include continued collaboration among industry players to settle on one or a few consolidated efforts. Except in special areas, governments can best play a peripheral role, encouraging coordination through soft regulatory approaches like bringing stakeholders together and using their market power as major data holders and users. If privacy and security issues are addressed (and current stakeholders seem acutely aware of them), Digital ID interoperability has the potential to be extremely generative, creating new markets and enabling interoperability among other applications and services. If, however, coordination breaks down among market leaders and rival technologies emerge, it seems likely that user adoption will remain low and the benefits will be limited

Data ecosystems for the sustainability transformation : a study commissioned by Huawei Technologies Deutschland GmbH

In the coming years, we must set a course that will allow as to protect our climate, reduce resource consumption, and preserve biodiversity. A profound ecological system change is on the horizon in all central areas of action of the economy and society, or transformation arenas. Digitalisation is a prerequisite for the success in this change and will impact these arenas at multiple levels: Digital technologies and applications will make it possible to improve current procedures, processes, and structures (Improve) and help us take the first steps towards new business models and frameworks (Convert). Despite this, digitalisation itself must be effective enough to facilitate a complete ecological restructuring of our society and lives to achieve more far-reaching economic transformation and value creation (Transform). The ability to obtain, link, and use data is a basic prerequisite for tapping into the potential of digitisation for sustainability transformation. However, data is not a homogeneous raw material. Data only gains value when we know the context in which it was collected and when we can use it for a specific purpose. The discussion on what structures and prerequisites are necessary for the system-changing use of data has only just begun. This study was conducted to serve as a starting point for this discussion as it describes the opportunities and prerequisites for a data-based sustainability transformation. This study focuses on environmental data, data from plants, machines, infrastructure, and IoT products. Our task will be to increase the use this data for systemic solutions (system innovation) within transformation arenas where different stakeholders are working together to initiate infrastructure, value chain, and business model transformation

The use of TRAO to manage evolution risks in e-government

The need to develop and provide more efficient ways of providing Electronic Government Services to key stakeholders in government has brought about varying degrees of evolution in government. This evolution is seen in different ways like the merging of government departments, the merging of assets or its components with legacy assets etc. This has involved the incorporation of several practices that are geared towards the elimination of processes that are repetitive and manual while attempting to progressively encourage the interaction that exists between the different stakeholders. However, some of these practices have further complicated processes in government thus creating avenues for vulnerabilities which if exploited expose government and government assets to risks and threats. Focusing on ways to manage the issues accompanied with evolution can better prepare governments for manging the associated vulnerabilities, risks and threats. The basis of a conceptual framework is provided to establish the relationships that exist between the E-Government, asset and security domains. Thus, this thesis presents a design research project used in the management of evolution-related risks. The first part of the project focusses on the development of a generic ontology known as TRAO and a scenario ontology TRAOSc made up of different hypothetical scenarios. The resulting efficiency of the development of these ontologies have facilitated the development of an intelligent tool TRAOSearch that supports high-level semantically enriched queries. Results from the use of a case study prove that there are existing evolution-related issues which governments may not be fully prepared for. Furthermore, an ontological approach in the management of evolution-related risks showed that government stakeholders were interested in the use of intelligent processes that could improve government effectiveness while analysing the risks associated with doing this. Of more importance to this research was the ability to make inferences from the ontology on existing complex relationships that exist in the form of dependencies and interdependencies between Stakeholders and Assets. Thus, this thesis presents contributions in the aspect of advancing stakeholders understanding on the types of relationships that exist in government and the effect these relationships may have on service provisioning. Another novel contribution can be seen in the correction of the ambiguity associated with the terms Service, IT Service and E-Government. Furthermore, the feedback obtained from the use of an ontology-based tool during the evaluation phase of the project provides insights on whether governments must always be at par with technological evolution

Identity assurance in the UK: technical implementations and legal implications under the eIDAS regulation

The UK Government has been designing a new Electronic Identity Management (eIDM) system that, once rolled-out, will take over how citizens authenticate against online public services. This system, Gov.UK Verify, has been promoted as a state-of-the-art privacy-preserving system, tailored to meet the requirements of UK citizens and is the first eIDM interoperability in which the government does not act as an identity provider itself, delegating the provision of identity to competing third parties. According to the recently enacted EU eIDAS Regulation, member states can allow their citizens to transact with foreign services by notifying their national eID scheme. Once a scheme is notified, all other member states are obligated to incorporate it into their electronic identification procedures. The UK Government is contemplating at the moment whether it would be beneficial to notify. This article examines Gov.UK Verify 's compliance with the requirements set forth by the Regulation and the impact on privacy and data protection. It then explores potential interoperability issues with other national eID schemes, using the German nPA, an eIDM based on national identity cards, as a reference point. The article highlights areas of attention, should the UK decide to notify Gov.UK Verify. It also contributes to relevant literature of privacy-preserving eID management by offering policy and technical recommendations for compliance with the new Regulation and an evaluation of interoperability under eIDAS between systems of different architecture

LINCS : Linking Information for Nonfatal Crash Surveillance : a guide for integrating motor vehicle crash data to help keep Americans safe on the road

The Linking Information for Nonfatal Crash Surveillance (LINCS) Guide is intended to help states start a data linkage program or expand their current program to help prevent motor vehicle crash-related injuries and deaths. The guide discusses the key components of successful linkage programs and details each step in the data linkage process.Motor vehicle crashes (MVCs) are a leading cause of death for people aged 1-54 years in the United States (U.S.). More than 100 people die in MVCs each day and thousaOne method to better understand MVCs is to effectively use existing data sources, such as police, hospital, and emergency medical services (EMS) records. These data sources contain different information and the data sets are generally collected and stored separately. Therefore, linking the data sets together can create a more comprehensive understanding of MVCs by pulling all of the data together into one linked data set. A linked data set will include information about what happened before (e.g., impaired driving), during (e.g., seat belt was being used), and after a crash (e.g., medical outcomes and costs).nds more are injured. Understanding the risk factors and ways to address them can help prevent MVC-related injuries and deaths and reduce costs.The CDC\u2019s National Center for Injury Prevention and Control (NCIPC) enlisted the Centers for Medicare & Medicaid Services (CMS) Alliance to Modernize Healthcare (CAMH)\u2014a federally funded research and development center operated by The MITRE Corporation\u2014to create a guide to help states start or enhance data linkage programs. Linking MVC data sets creates a more comprehensive set of linked data for each MVC incident and for each individual involved in the MVC. Comprehensive MVC linked data can enable analysis of the relationships among contributing factors, interventions, outcomes, and impacts. For example, one advantage of linking police MVC records to hospital records is to assess the magnitude of nonfatal MVC injuries and associated healthcare costs.CS 302338-APublication date from document properties.CDC_LINCS_GUIDE_2019-F.pdfExecutive Summary -- Motor Vehicle Crashes and LINCS -- Introduction -- The LINCS Guide -- Section 1. Establishing a Motor Vehicle Crash Data Linkage Program -- Section 2. Building Partnerships -- Section 3. Developing a Business Model -- Section 4. Establishing the Data Linkage Process -- Conclusion -- Appendix A. National Systems for Motor Vehicle Crash Data -- Appendix B. Literature Review of Published Motor Vehicle Crash Research Using Linked Data -- Appendix C. Crash Outcome -- Data Evaluation System (CODES) -- Appendix D. Stakeholder Listening Sessions -- Appendix E. Select Data Linkage Method(s) -- Appendix F. Select Data Linkage Tools. -- Appendix G. State Motor Vehicle Crash Data Linkage Programs -- Appendix H. Motor Vehicle Crash Data Linkage Program Resources -- Appendix I. Department of Transportation Traffic Records Coordinating Committee Technical Assistance Resources -- Appendix J. Security Program Activities -- Appendix K. Privacy Program Activities. -- Appendix L. Sample Data Use Agreement -- Appendix M. Reduce Computational Requirements. -- Appendix N. Multiple Imputation and Missing Data -- Appendix O. Assessing Data Quality: Variation -- Appendix P. Evaluating Data Linkage Processes -- Appendix Q. Examples of MVC Data Content Standards -- Appendix R. Explanation of Figures for Accessibility -- Acknowledgments -- Acronyms. -- Glossary \u2013 References.2019674

Next Generation Business Ecosystems: Engineering Decentralized Markets, Self-Sovereign Identities and Tokenization

Digital transformation research increasingly shifts from studying information systems within organizations towards adopting an ecosystem perspective, where multiple actors co-create value. While digital platforms have become a ubiquitous phenomenon in consumer-facing industries, organizations remain cautious about fully embracing the ecosystem concept and sharing data with external partners. Concerns about the market power of platform orchestrators and ongoing discussions on privacy, individual empowerment, and digital sovereignty further complicate the widespread adoption of business ecosystems, particularly in the European Union. In this context, technological innovations in Web3, including blockchain and other distributed ledger technologies, have emerged as potential catalysts for disrupting centralized gatekeepers and enabling a strategic shift towards user-centric, privacy-oriented next-generation business ecosystems. However, existing research efforts focus on decentralizing interactions through distributed network topologies and open protocols lack theoretical convergence, resulting in a fragmented and complex landscape that inadequately addresses the challenges organizations face when transitioning to an ecosystem strategy that harnesses the potential of disintermediation. To address these gaps and successfully engineer next-generation business ecosystems, a comprehensive approach is needed that encompasses the technical design, economic models, and socio-technical dynamics. This dissertation aims to contribute to this endeavor by exploring the implications of Web3 technologies on digital innovation and transformation paths. Drawing on a combination of qualitative and quantitative research, it makes three overarching contributions: First, a conceptual perspective on \u27tokenization\u27 in markets clarifies its ambiguity and provides a unified understanding of the role in ecosystems. This perspective includes frameworks on: (a) technological; (b) economic; and (c) governance aspects of tokenization. Second, a design perspective on \u27decentralized marketplaces\u27 highlights the need for an integrated understanding of micro-structures, business structures, and IT infrastructures in blockchain-enabled marketplaces. This perspective includes: (a) an explorative literature review on design factors; (b) case studies and insights from practitioners to develop requirements and design principles; and (c) a design science project with an interface design prototype of blockchain-enabled marketplaces. Third, an economic perspective on \u27self-sovereign identities\u27 (SSI) as micro-structural elements of decentralized markets. This perspective includes: (a) value creation mechanisms and business aspects of strategic alliances governing SSI ecosystems; (b) business model characteristics adopted by organizations leveraging SSI; and (c) business model archetypes and a framework for SSI ecosystem engineering efforts. The dissertation concludes by discussing limitations as well as outlining potential avenues for future research. These include, amongst others, exploring the challenges of ecosystem bootstrapping in the absence of intermediaries, examining the make-or-join decision in ecosystem emergence, addressing the multidimensional complexity of Web3-enabled ecosystems, investigating incentive mechanisms for inter-organizational collaboration, understanding the role of trust in decentralized environments, and exploring varying degrees of decentralization with potential transition pathways