A Critical Investigation into Identifying Key Focus Areas for the Implementation of Blockchain Technology in the Mining Industry

Thesis (PhD)--University of Pretoria, 2023.The value of digital information is ever-increasing as more companies utilize digital technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) to gain deeper insight into their business operations and drive productivity gains. It is therefore important to safeguard and ensure the integrity of digital information exchange. Blockchain technology (BCT) was identified as potentially providing the mining industry with a trusted system for securely exchanging digital value. However, there is little evidence or understanding of how/where BCT can be implemented and what benefits the industry could obtain. This research study provides a fundamental understanding of what the technology is in order to identify the associated capabilities and potential application benefits for the mining industry. From a technology push perspective, blockchain capabilities are used to evaluate how the technology’s value drivers map to the mining industries core value chain processes. This was done to identify potential focus areas within the mining enterprise for further research and development of blockchain applications.ARMMining EngineeringMEngUnrestricte

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

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical

Decentralized brokered enabled ecosystem for data marketplace in smart cities towards a data sharing economy

Presently data are indispensably important as cities consider data as a commodity which can be traded to earn revenues. In urban environment, data generated from internet of things devices, smart meters, smart sensors, etc. can provide a new source of income for citizens and enterprises who are data owners. These data can be traded as digital assets. To support such trading digital data marketplaces have emerged. Data marketplaces promote a data sharing economy which is crucial for provision of available data useful for cities which aims to develop data driven services. But currently existing data marketplaces are mostly inadequate due to several issues such as security, efficiency, and adherence to privacy regulations. Likewise, there is no consolidated understanding of how to achieve trust and fairness among data owners and data sellers when trading data. Therefore, this study presents the design of an ecosystem which comprises of a distributed ledger technology data marketplace enabled by message queueing telemetry transport (MQTT) to facilitate trust and fairness among data owners and data sellers. The designed ecosystem for data marketplaces is powered by IOTA technology and MQTT broker to support the trading of sdata sources by automating trade agreements, negotiations and payment settlement between data producers/sellers and data consumers/buyers. Overall, findings from this article discuss the issues associated in developing a decentralized data marketplace for smart cities suggesting recommendations to enhance the deployment of decentralized and distributed data marketplaces.publishedVersio

Financial Services Innovation: Opportunities for Transformation Through Facial Recognition and Digital Wallet Patents

Bringing innovation to the marketplace for new products and services involves creativity, a culture in which change flourishes, and leadership that thrives on transformation and complexity. This study explored the potential for market disruption or change based on innovations involving patents granted to nonfinancial services organizations that could affect financial services, specifically consumer or retail bank products. It involved analyzing documents related to recently granted patents and completing a mixed methods survey integrating the Delphi research technique. This method required multiple iterations of a survey presented to expert panelists or industry thought leaders to attempt to gain consensus ( Consensus , 2011) or general agreement by the group (Tersine & Riggs, 1976). With this research method, the goal is to gain an understanding of initial individual perspectives. Through an iterative process, then determine if, as a group, they can move toward a common vision of what is likely to happen after viewing other\u27s perspectives. This research was specific to two innovations for which patents have been granted: facial recognition and digital wallets. Patents can provide insights into potential new developments planned by organizations. In some cases, patents can provide insights into innovation, potential threats, opportunities, or disruptions that could change the way a market operates. The goal of this research was to select two recent patents from many that have been granted, develop theoretical insights, and, through a mixed methods survey integrating the Delphi methodology, identify when or if these patents could have an impact on financial services. This research brought together thought leaders in an anonymous, collaborative approach to assess considerations and provide their perspective on these changes. This study served to help leaders drive innovation in financial services organizations and to understand how others perceive these innovations. The electronic version of this Dissertation is at OhioLink ETD Center, www.etd.ohiolink.ed

Financial Services Innovation: Opportunities for Transformation Through Facial Recognition and Digital Wallet Patents

Bringing innovation to the marketplace for new products and services involves creativity, a culture in which change flourishes, and leadership that thrives on transformation and complexity. This study explored the potential for market disruption or change based on innovations involving patents granted to nonfinancial services organizations that could affect financial services, specifically consumer or retail bank products. It involved analyzing documents related to recently granted patents and completing a mixed methods survey integrating the Delphi research technique. This method required multiple iterations of a survey presented to expert panelists or industry thought leaders to attempt to gain consensus ( Consensus , 2011) or general agreement by the group (Tersine & Riggs, 1976). With this research method, the goal is to gain an understanding of initial individual perspectives. Through an iterative process, then determine if, as a group, they can move toward a common vision of what is likely to happen after viewing other\u27s perspectives. This research was specific to two innovations for which patents have been granted: facial recognition and digital wallets. Patents can provide insights into potential new developments planned by organizations. In some cases, patents can provide insights into innovation, potential threats, opportunities, or disruptions that could change the way a market operates. The goal of this research was to select two recent patents from many that have been granted, develop theoretical insights, and, through a mixed methods survey integrating the Delphi methodology, identify when or if these patents could have an impact on financial services. This research brought together thought leaders in an anonymous, collaborative approach to assess considerations and provide their perspective on these changes. This study served to help leaders drive innovation in financial services organizations and to understand how others perceive these innovations. The electronic version of this Dissertation is at OhioLink ETD Center, www.etd.ohiolink.ed

Data Spaces

This open access book aims to educate data space designers to understand what is required to create a successful data space. It explores cutting-edge theory, technologies, methodologies, and best practices for data spaces for both industrial and personal data and provides the reader with a basis for understanding the design, deployment, and future directions of data spaces. The book captures the early lessons and experience in creating data spaces. It arranges these contributions into three parts covering design, deployment, and future directions respectively. The first part explores the design space of data spaces. The single chapters detail the organisational design for data spaces, data platforms, data governance federated learning, personal data sharing, data marketplaces, and hybrid artificial intelligence for data spaces. The second part describes the use of data spaces within real-world deployments. Its chapters are co-authored with industry experts and include case studies of data spaces in sectors including industry 4.0, food safety, FinTech, health care, and energy. The third and final part details future directions for data spaces, including challenges and opportunities for common European data spaces and privacy-preserving techniques for trustworthy data sharing. The book is of interest to two primary audiences: first, researchers interested in data management and data sharing, and second, practitioners and industry experts engaged in data-driven systems where the sharing and exchange of data within an ecosystem are critical