Data-intensive technologies draw high investments. Yet, data science projects are reported to suffer from poor collaboration, unrealistic expectations, and difficulties in realizing practical solutions between business and data science units. Moving beyond the currently prevalent approach to study data science practices, our study emphasizes the use of boundary objects between data science and collaborating fields. We interviewed collaborators from diverse fields in six organizational data science initiatives. Our inductive analysis of this rich data source uncovered six distinct mechanisms and six archetypes of boundary objects in data science projects. While archetypes that we label Alignment, Temporary, Collaboration, and Outcome are procedural and appear in selective stages of the data value creation process, the archetypes Infrastructure and Upskilling support projects along the value creation process. The archetypes and their mechanisms inform the management of data science initiatives, help to advance boundary object theory, and provide instruments to study data science initiatives.

As global logistics becomes increasingly complex, supply chain automation has become a key aspect in improving operational efficiency and transparency. Blockchain technology presents itself as a viable option, providing the potential for transformative advancements in supply chain management without a central authority through decentralization, transparency, and immutability. This study emphasizes the importance of effective governance for blockchain-based supply chain consortia, aiming to identify governance requirements (GR) for a decentralized supply chain environment. In this article, we use a mixed-method approach, including a structured literature review, expert interviews (n=13), and a two-sided evaluation strategy involving a focus group (n=5) and a survey (n=199) to derive 24 GR from the provider and user perspectives. These GRs lay the foundation for developing governance strategies within decentralized blockchain consortia in supply chains, addressing aspects such as roles, rules, incentives, structures, and decision-making processes, offering valuable insights to researchers and practitioners.