Purpose: The main purpose of this thesis to explore the possible application of blockchain technology in solving issues and concerns of members and stakeholders in multi-stakeholder cooperatives, which prevent effective collaboration in governance.Design: This study is performed using an extensive literature study on blockchain technology, relevant business cases solving issues and concerns comparable to these in multi-stakeholder cooperatives and six semi-structured interviews with blockchain experts, using the business case of multi-stakeholder cooperative Gebiedscoöperatie Westerkwartier.Findings: Findings reveal blockchain-based solutions can contribute to solving existing issues and concerns in multi-stakeholder cooperatives, by implementing its main characteristics: creating transparency, immutability and distributed consensus. This results in increased trust, increased efficiency and accuracy in decision-making, decreased administrative costs due to self-executable smart contracts and enables product traceability in supply chains. However, information is retained in supply chains, preventing blockchain from reaching its full potential. In addition, smart contracts are not legally binding in all countries yet and blockchain, as most technologies, is subject to human or technical error.Value: Overall, this study contributes to understanding issues and concerns existing in multistakeholder cooperatives and the potential application and benefit of blockchain technology to solve existing issues preventing effective collaboration. Expert and participation: Jan Veuger
MULTIFILE
The aim of this research/project is to investigate and analyze the opportunities and challenges of implementing AI technologies in general and in the transport and logistics sectors. Also, the potential impacts of AI at sectoral, regional, and societal scales that can be identified and chan- neled, in the field of transport and logistics sectors, are investigated. Special attention will be given to the importance and significance of AI adoption in the development of sustainable transport and logistics activities using intelligent and autonomous transport and cleaner transport modalities. The emphasis here is therefore on the pursuit of ‘zero emissions’ in transport and logistics at the urban/city and regional levels.Another goal of this study is to examine a new path for follow-up research topics related to the economic and societal impacts of AI technology and the adoption of AI systems at organizational and sectoral levels.This report is based on an exploratory/descriptive analysis and focuses mainly on the examination of existing literature and (empirical) scientific research publica- tions, previous and ongoing AI initiatives and projects (use cases), policy documents, etc., especially in the fields of transport and logistics in the Netherlands. It presents and discusses many aspects of existing challenges and opportunities that face organizations, activities, and individuals when adopting AI technology and systems.
Promotor : Prof. dr. S. Brinkkemper In recent years the focus on business process improvement has greatly increased in industry as well as in public and health institutions. Information systems and especially Business Process Management (BPM) systems are essential to achieve this. Despite success and opportunities for organizations that innovate with BPM applications there are also many failures of implementations caused by both technical and non-technical problems. In many instances it appears that user participation and user involvement are critical to the success of implementation. To overcome the many problems this thesis reports on research that focused on the improvement of the user participation practice. Therefore the main research question in this PhD thesis is: How can user participation in BPM implementation be successful?
