Selecting Implementation Criteria in the Age of GeoBlockchain

Today, the growing use of public blockchain, private blockchain, and hybrid blockchain advances in geospatial technology. Geography is a significant factor in identifying locations and spatial trends related to blockchain activities through distributed and immutable networks. Besides that, as the understanding that blockchain and location intelligence has value for many organizations. Our study examined the merge of the two technologies and identified the implementation criteria in the age of GeoBlockchchain. Moreover, it will examine the rules and roles of participants within GeoBlockchain by using Q Methodology and Q set. The ICT artifact for a supply chain use case is the result of a solution proof of concept

Blockchain Technology for Emergency Response

As unforeseen situations, emergencies threaten the environment, property, and people’s lives. Large emergencies are characterized by the demand for coordination of a variety of actors, such as civil defense or disaster relief. Communication and information exchange are crucial for coordination. Therefore, a solid, stable communication infrastructure is among the crucial factors for emergency response. New technologies that seem to ensure trustworthy communication must be evaluated constantly. Blockchain technology is widely applied in a broad variety of contexts and is commonly known for its decentralized and distributed governance. This is the motivation for the design and evaluation of a framework for the adoption of blockchain technology in the case of emergency response following a design science approach. Evaluation of the artifact using a specific evaluation framework clearly indicates the suitability of the case for application of blockchain technology

A Model-driven Approach for the Description of Blockchain Business Networks

The concept of blockchain technology has gained significant momentum in practice and research in the past few years, as it provides an effective way for addressing the issues of anonymity and traceability in distributed scenarios with multiple parties, which have to exchange information and want to securely collaborate with each other. However, up-to-date, the impact of the structure and setup of business networks on successfully applying blockchain technology, remains largely unexplored. We propose a model-driven approach, combining an ontology and a layer model, that is capable of capturing the properties of existing blockchain-driven business networks. The layers are used to facilitate the comprehensive description of such networks. We also introduce the Blockchain Business Network Ontology (BBO), formalizing the concepts and properties for describing the integral parts of a blockchain network. We show the practical applicability of our work by evaluating and applying it to an available blockchain use case

Need-driven decision-making and prototyping for DLT: Framework and web-based tool

In its 14 years, distributed ledger technology has attracted increasing attention, investments, enthusiasm, and user base. However, ongoing doubts about its usefulness and recent losses of trust in prominent cryptocurrencies have fueled deeply skeptical assessments. Multiple groups attempted to disentangle the technology from the associated hype and controversy by building workflows for rapid prototyping and informed decision-making, but their mostly isolated work leaves users only with fewer unclarities. To bridge the gaps between these contributions, we develop a holistic analytical framework and open-source web tool for making evidence-based decisions. Consisting of three stages - evaluation, elicitation, and design - the framework relies on input from the users' domain knowledge, maps their choices, and provides an output of needed technology bundles. We apply it to an example clinical use case to clarify the directions of our contribution charts for prototyping, hopefully driving the conversation towards ways to enhance further tools and approaches

Blockchain and Cryptocurrencies: a Classification and Comparison of Architecture Drivers

Blockchain is a decentralized transaction and data management solution, the technological leap behind the success of Bitcoin and other cryptocurrencies. As the variety of existing blockchains and distributed ledgers continues to increase, adopters should focus on selecting the solution that best fits their needs and the requirements of their decentralized applications, rather than developing yet another blockchain from scratch. In this paper we present a conceptual framework to aid software architects, developers, and decision makers to adopt the right blockchain technology. The framework exposes the interrelation between technological decisions and architectural features, capturing the knowledge from existing academic literature, industrial products, technical forums/blogs, and experts' feedback. We empirically show the applicability of our framework by dissecting the platforms behind Bitcoin and other top 10 cryptocurrencies, aided by a focus group with researchers and industry practitioners. Then, we leverage the framework together with key notions of the Architectural Tradeoff Analysis Method (ATAM) to analyze four real-world blockchain case studies from industry and academia. Results shown that applying our framework leads to a deeper understanding of the architectural tradeoffs, allowing to assess technologies more objectively and select the one that best fit developers needs, ultimately cutting costs, reducing time-to-market and accelerating return on investment.Comment: Accepted for publication at journal Concurrency and Computation: Practice and Experience. Special Issue on distributed large scale applications and environment

Decision Framework for Improved Distributed Ledger Technology Utilization

Distributed ledger technology (DLT) has been salient in research and practice for over a decade, with substantial investments in numerous areas. Still, the absence of a rapid, industry-wide success fuels skepticism and numerous decision frameworks emerged focusing on how to scaffold DLT utilization. However, a consideration of needs, added value, and integrative design of DLT-based systems remains overlooked. By analyzing existing frameworks and DLT Proof-of-Concepts, we provide a research-in-progress decision framework for making evidence-based decisions on whether to use DLT and how to design a technology bundle for specific cases. Our main contribution centers on the focus on rapid collaborative prototyping. For applicability and validation, we implement the framework in an online questionnaire-like tool that generates a detailed report as a basis for an informed decision. While beneficial for academia and practice, our framework draws clear directions for future research on complementary tools, enhanced recommendations and the design of feasible DLT solutions for real world challenges