Flexible Decision Support in Dynamic Interorganizational Networks

An effective Decision Support System (DSS) should help its users improve decision-making in complex, information-rich, environments. We present a feature gap analysis that shows that current decision support technologies lack important qualities for a new generation of agile business models that require easy, temporary integration across organisational boundaries. We enumerate these qualities as DSS Desiderata, properties that can contribute both effectiveness and flexibility to users in such environments. To address this gap, we describe a new design approach that enables users to compose decision behaviours from separate, configurable components, and allows dynamic construction of analysis and modelling tools from small, single-purpose evaluator services. The result is what we call an “evaluator service network” that can easily be configured to test hypotheses and analyse the impact of various choices for elements of decision processes. We have implemented and tested this design in an interactive version of the MinneTAC trading agent, an agent designed for the Trading Agent Competition for Supply Chain Management

Autonomic Management of Networked Small-Medium Factories

The Chapter reports the achievements of a research project that is developing a software platform with a suite of autonomic services enabling every company in the network to move from a situation where it wastes valuable resources in struggling with its customers and suppliers, towards a rational business environment where communication becomes faster, and operation and collaboration more efficient. The ultimate objective of the project is to set-up, develop, experiment and promote the adoption of a new collaboration practice within networked factories taking advantage of the autonomic model applied to a suite of support software services

Utilizing e-business technologies in supply chains: The impact of firm characteristics and teams

This paper presents findings from an exploratory study that analyzes the drivers and outcomes of e-business technology use in the supply chain. Using a combination of case studies and survey data from a diverse sample of industries, the research examines how industry context, firm characteristics and firm-level strategic resources, such as purchasing teams, influence the exploitation of e-business technologies and the relationship between e-business technology use and firm performance. Based on a synthesis of related literatures from transaction cost economics and the relational view of the supply chain, a two-dimensional framework for e-business technology is proposed with transactional and relational dimensions. However, empirical analysis indicated that transactional technologies can be further subdivided into two factors: dyadic cooperation and price determination. Significant differences were found between the two dimensions in terms of their overall levels of adoption, with dyadic coordination being the most widely adopted. In addition, the development of strategic resources expanded, in particular internal and customer teams, the use of e-business technologies expanded. Purchasing organizational structure and firm size also were positively related to the adoption of transactional e-business technologies. Finally, of particular importance to practitioners, e-business technologies targeted at reducing dyadic coordination costs lead to improved financial performance

LEVERAGING BLOCKCHAIN TECHNOLOGY TO REVAMP THE VEHICLE ELECTRIFICATION JOURNEY: PERSPECTIVES OF ACCOUNTABILITY AND ECONOMIC CIRCULARITY

The automotive industry is undergoing a significant transition accelerated by global emission regulations for a phase out of internal combustion engines (ICEs) and a transition toward the adoption of electric vehicles (EVs). While regulatory measures and incentivized adoption for EVs presents opportunities for reducing emissions and promoting sustainability, it also poses complex challenges. The EV industry faces potential production challenges, particularly in the sourcing, manufacturing, and lifecycle management of critical minerals and raw materials for electric vehicle batteries (EVBs). With a heavy reliance on a steady and diversified supply of critical minerals such as lithium, cobalt and rare earth elements, the finite nature of mineral resources poses long-term challenges for EV stakeholders. The recent measures instituted by government regulations do recognize the need for EV stakeholder accountability, requiring substantiated evidentiary proof by way of data collection and analysis mandating resource recapture and reintroduction into circularity, environmental benefits, and real-time data availability. By implementing clear end-of-life requirements such as collection targets, material recovery goals, and extended producer responsibility, EV producers are held responsible for managing the entire lifecycle of electric vehicle batteries (EVBs). Government regulations are aimed at bolstering sustainability standards, and a high degree of accountability for all battery products, showing a clear shift towards circular economic standards. This culminating experience project explores the role of collaborative initiatives and innovative technological frameworks, particularly, blockchain, smart contracts, and Nash equilibrium game theory, in addressing sustainability challenges within the EV ecosystem. The research questions are: (RQ1) How does the strategic application of blockchain technology within a circular economic framework facilitate cooperation among stakeholders in the EV industry, leading to improved oversight, enhanced accountability, and guided decision-making? (RQ2) How can the implementation of private-permissioned blockchain technology, particularly through smart contracts, be strategically employed to enhance transparency, traceability, and sustainability throughout the lifecycle of electric vehicles, within the broader context of the EV ecosystem? (RQ3) Why should EV industry stakeholders engage in a consortium, that is driven by blockchain technology, smart contracts, Nash Equilibrium game theory, and what are the potential effects? The findings for each question are: (Q1) The partnership among RCS, IBM, Ford, exemplified how integrating blockchain into a circular economic framework can establish oversight, ensure accountability, and enable informed decision-making with traceable and transparent data circularity. Ford notably improved its cobalt due diligent management system, marked by a notable forty-six percentage point within one year, demonstrating its commitment to responsible sourcing and regulatory compliance. (Q2) Private-permissioned blockchain networks, especially with smart contracts, automate performance obligations, without an intermediary interaction, strengthening self-governance within a decentralized network. The consensus mechanism, integral to blockchain architecture, enhances accountability among EV stakeholders by validating and authenticating transactions. Opting for a consensus algorithm, emphasizing participant reputation over computational power, reduces reliance on resources while maintaining network integrity. (Q3) EV stakeholders and their tier-1 suppliers, in a consortium, are incentivized to uphold their reputation and branding through adherence to ethical and sustainable practices facilitated in a blockchain network. By doing so, they contribute to the overall stability of the industry and the circular economic framework, as mutual benefits are maximized, unilateral deviations are discouraged, and collaborative dynamics are fostered. The conclusions are: (Q1) EV producers involved in circular economic initiatives can be perceived as collaborative partners that prioritize collective success over individual gain, fostering positive brand associations with teamwork and partnership. (Q2) By aligning incentives, fostering collaboration, and leveraging data-driven insights, EV producers and their suppliers can optimize resource use, minimize waste, and contribute to the transition towards a more sustainable economic model. (Q3) By adhering to ethical and sustainable practices the equilibrium ensures that EV stakeholders maintain trust and credibility, promoting a sustainable ecosystem for the EV industry within the circular economy

Introduction

This chapter provides a general introduction to this book. As such, it also describes the context of the CrossWork project that is the main source of information for this book. This project is introduced in the next chapter. We start below with discussing the business conditions for the raise of the virtual enterprise as an organization form in the modern economy. As we focus on process-oriented virtual enterprises in this book, we continue with an overview of developments in business process support technologies. Then, we introduce a framework with four aspects that can be used in a combined demand pull and technology push context – this framework is used later to structure topics discussed. In the last section of this chapter, we explain the structure of the book