Developing Blockchain-enabled Marketplace Interfaces: A Design Science Research Study

Digital transformation\u27s scope evolves from being limited to the organizational level to inter-organizational collaboration in supply chain networks and business ecosystems. Blockchain-enabled marketplaces have the potential to transform business networks by eliminating intermediaries. To investigate the interface design and visualization of blockchain-enabled marketplaces, we employed a design science methodology and synthesized knowledge from literature, practice, and qualitative expert interviews. Our research provides (1) theoretically grounded and prescriptive knowledge expressed in meta-requirements and design principles inspired by effective use theory, and (2) presents concrete design features and an expository prototype instantiation. The prototype is evaluated through focus group workshops and interviews with experts and potential users. Our work contributes to recent calls to investigate the design and visualization of blockchain-enabled marketplaces, advances research on blockchain applications in B2B contexts, and expands the literature on information system design for marketplace-oriented transformations

A Pattern-based Approach to Support the Design of Multi-Platform User Interfaces of Information Systems

This PhD thesis is focused on a pattern approach for designing multi-platform user interfaces. The pattern approach is applied on the complete user interface (UI) development process. UI patterns can be used to improve the usability and cycle-life development. To achieve a good quality of software development, UI patterns related to ergonomic context can be used in unification of models to support the UI development process. UI Patterns of the OO-Method are introduced in the whole model driven process of UI in order to obtain different UIs in the Final User Interface (FUI) level including specific platforms. In using different patterns on other devices, the thesis analyses the derivation of up-to-date UIs with the application of the built ergonomic guide and extended patterns. A comparative study of these different FUIs built in different contexts is necessary to show how difficult it is to adapt the different patterns on variety platform

A pattern-based approach to support the design of multi-platform user interfaces of information systems

This PhD thesis is focused on a pattern approach for designing multi-platform user interfaces. The pattern approach is applied on the complete user interface (UI) development process. UI patterns can be used to improve the usability and cycle-life development. To achieve a good quality of software development, UI patterns related to ergonomic context can be used in unification of models to support the UI development process. UI Patterns of the OO-Method are introduced in the whole model driven process of UI in order to obtain different UIs in the Final User Interface (FUI) level including specific platforms. In using different patterns on other devices, the thesis analyses the derivation of up-to-date UIs with the application of the built ergonomic guide and extended patterns. A comparative study of these different FUIs built in different contexts is necessary to show how difficult it is to adapt the different patterns on variety platforms

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