The Role of Blockchain in Enterprise Procurement

Disruptive technologies, such as artificial intelligence, machine learning, or the blockchain, have the potential to transform entire industries as previous publications have outlined. They especially offer new opportunities to improve existing processes in the dimensions of performance, cost, and quality. Despite a continuously growing number of contributions, research and practice lack an adequate understanding about how blockchain can be used to achieve these benefits. Against this backdrop, this paper presents the current state of blockchain research in the field of enterprise procurement and outlines several avenues for future research. Therefore, we define relevant processes and functions to build a research framework for structuring and categorizing the current body of literature. Our results suggest that previous work mostly focuses on blockchain application scenarios with a focus on communication and transaction, while widely neglecting numerous fields, such as data integrity and data access

The Foundation of Distributed Ledger Technology for Supply Chain Management

Distributed ledger technology (DLT) appears to be one of the most promising technologies in the field of supply chain management (SCM). However, as the technology is still evolving, only limited empirical evidence has been analyzed, managers and scientific scholars alike seek to understand how DLT can help improving SCM. This study aims to shed light into the current DLT applications in SCM to identify the foundation of the technology for SCM and uncover what DLT brings to the table. It develops seven foundational characteristics of DLT in SCM that describe both the nature of DLT and its characteristics for SCM. The study reveals that DLTs are interorganizational information systems that are diverse in their realizations and enable modular platform ecosystems. Nowadays application in SCM build on steady data availability, selective transparency, high authenticity and a source of mutual trust

Applications of blockchain in procurement

Actualmente, la adquisición en la cadena de suministro presenta algunas ineficiencias relacionadas con la seguridad en las transacciones, tediosos intercambios de información, duplicación de actividades, demoras en los pagos y falta de conocimiento sobre la procedencia real y las condiciones de los productos. Tecnologías potenciales, como blockchain, aumentan la transparencia a través de un libro mayor distribuido que garantiza a través del consenso entre nodos, la transparencia de las nuevas transacciones introducidas en la red. Esta tesis muestra los resultados de implementar blockchain en las siguientes aplicaciones para adquisiciones: trazabilidad de materias primas, contratos inteligentes, unión con tecnología IoT, pagos y financiación de proveedores, y redes que facilitan la relación con los proveedores. Si la implementación se ejecuta correctamente, involucrando a todos los actores y midiendo el desempeño, es posible reducir costos, fraude y mejorar la imagen de la empresa. Sin embargo, también existen barreras como la complejidad.Departamento de Ingeniería Energética y FluidomecánicaTechnische Universität DresdenMáster en Ingeniería Industria

Blockchain Value Creation Logics and Financial Returns

With its complexities and portfolio-nature, the advent of blockchain technology presents several use cases to stakeholders for business value appropriation and financial gains. This 3-essay dissertation focuses on three exemplars and research approaches to understanding the value creation logics of blockchain technology for financial gains. The first essay is a conceptual piece that explores five main affordances of blockchain technology and how these can be actualized and assimilated for business value. Based on the analysis of literature findings, an Affordance-Experimentation-Actualization-Assimilation (AEAA) model is proposed. The model suggests five affordance-to-assimilation value chains and eight value interdependencies that firms can leverage to optimize their value creation and capture during blockchain technology implementation. The second essay empirically examines the financial returns of public firms\u27 blockchain adoption investments at the level of the three main blockchain archetypes (private-permissioned, public-permissioned and permissionless. Drawing upon Fichman\u27s model of the option value of innovative IT platform investments, the study examines business value creation through firm blockchain strategy (i.e., archetype instances, decentralization, and complementarity), learning (i.e., blockchain patents and event participation), and bandwagon effects using quarterly data of firm archetype investments from 2015 to 2020. The study\u27s propensity score matching utilization and fixed-effects modeling provide objective quantification of how blockchain adoption leads to increases in firm value (performance measured by Tobin\u27s q) at the archetype level (permissionless, public permissioned, and private permissioned). Surprisingly, a more decentralized archetype and a second different archetype implementation are associated with a lower Tobin\u27s q. In addition, IT-option proxy parameters such as blockchain patent originality, participation in blockchain events, and network externality positively impact firm performance, whereas the effect of blockchain patents is negative. As the foremost and more established use case of blockchain technology whose business value is accessed in either of the five affordances and exemplifies a permissionless archetype for financial gains, bitcoin cryptocurrency behavior is studied through the lens of opinion leaders on Twitter. The third essay this relationship understands the hourly price returns and volatility shocks that sentiments from opinion leaders generate and vice-versa. With a dynamic opinion leader identification strategy, lexicon and rule-based sentiment analytics, I extract sentiments of the top ten per cent bitcoin opinion leaders\u27 tweets. Controlling for various economic indices and contextual factors, the study estimates a vector autoregression model (VAR) and finds that finds that Bitcoin return granger cause Polarity but the influence of sentiment subjectivity is marginal and only stronger on bitcoin price volatility. Several key implications for blockchain practitioners and financial stakeholders and suggestions for future research are discussed