Circular Industrial Ecosystems: Collaborative Technologies Enabling Transparency, Resilience, and Innovation

Permanent URI for this collectionhttps://hdl.handle.net/10125/112502

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    A Song of Data and Sustainability: A Framework of Sustainable and Data-driven Business Models
    (2026-01-06) Paeplow, Johanna; Möller, Frederik
    At present, society needs sustainable actions of the economy to reduce climate change and decrease social injustice. Simultaneously, data is becoming the most accessible and valuable source of the current decade. Business Models are emerging that make use of this data to foster sustainable development. To support practitioners and researchers in designing and investigating sustainable data-driven business models (SDDBMS), we examined existing SDDBMs. Through our analysis, we detected 92 specific characteristics of SDDBMs, which we categorized within 12 dimensions and four meta-dimensions into a taxonomy. Thus, we created a framework for the existing SDDBMs landscape. By conducting a distribution analysis, we were able to determine the current limitations of this landscape and the commonly chosen characteristics.
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    The Smart Circular Canvas: Connecting Data-Driven Intelligence with Circular Value Creation
    (2026-01-06) Scheerer, Hannah; Robert, Schmelzer
    Data and digital technologies play a crucial role in optimizing the circular economy, serving as catalysts for promoting circular business models. However, organizations struggle to develop circular business models due to a lack of knowledge and creativity, as well as organizational barriers that hinder the innovation of new business models. Strategic management tools such as Visual Inquiry Tools can help to create new business models. Therefore, we developed a new business model tool using a Design Science Research approach, called “The Smart Circular Canvas,” which consists of 15 relevant elements subdivided into four layers. This tool addresses the current gap in existing canvases by integrating the role of data. The layers were developed based on two extensive literature reviews, from which three concept matrices were derived. Furthermore, the canvas was adapted successively during the evaluation process. Its practical suitability was tested with real use cases.
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    Navigating the Digital Product Passport Landscape: From Implementation Challenges to Future Opportunities
    (2026-01-06) Van Der Valk, Hendrik; Kunert, Julia; Scheerer, Hannah; Gürpinar, Tan; Duparc, Estelle; Hesse, Annika
    Digital Product Passports are a central instrument for enabling a digitized circular economy. They provide transparency over processes and life cycles. Almost every sector must deal with them as they become mandatory in the following years. Yet, they are still in their infancy. Much theoretical-conceptual work emerges while consolidating research, but it is still missing. We tackle this gap with a review of Digital Product Passports. We could identify eleven often-used technologies for data collection, curation, and sharing with the passports. Furthermore, we present several challenges clustered into nine categories ranging from conceptual challenges via the architecture to the operation and ecosystem aspects. Moreover, we close our study with six paths for future research.
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    Navigating Tensions in Circular Industrial Ecosystems: Insights from Digital Product Passport Adoption in Manufacturing
    (2026-01-06) Krüger, Kim; Böttcher, Timo; Votel, Luca; Krcmar, Helmut
    As Europe accelerates its shift toward a circular economy, digital product passports (DPPs) are being introduced as a central regulatory mechanism to standardize how product data is shared, governed, and leveraged across value chains. Yet, their implementation presents organizations with tensions arising from conflicting strategic, technological, and regulatory demands, as well as internal resource constraints. Drawing on twelve expert interviews across European manufacturing sectors, this study identifies key barriers and incentives shaping early DPP adoption. From this analysis, we inductively derive four paradoxes that organizations must navigate: organizational-level value vs ecosystem-wide benefit, standardization vs flexibility, transparency vs confidentiality, and regulatory mandate vs innovation. Using a paradox theory lens, we argue that these tensions are not merely obstacles but interdependent contradictions requiring ongoing management. The study contributes to information systems research by theorizing how digital infrastructures for sustainability introduce institutional complexity and offers practical guidance for navigating competing demands through adaptive governance and cross-sector collaboration.
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    The Backbone of Digital Twins: Comprehensive Data Management Requirements
    (2026-01-06) Hesse, Annika; Robert, Schmelzer
    The exponential growth of data highlights the pivotal role of data management in emerging technologies. Meanwhile, digital twins are transitioning from conceptual discussions to industrial implementation. In order to enable robust and scalable solutions, digital twins require an architecture that integrates data management through holistic requirements. This study addresses this need by conducting a structured literature review to consolidate existing research. The analysis identified 39 requirements, organized into eight categories derived from the DAMA-DMBOK wheel. These categories align established data management best practices with the specific demands of digital twin systems. The resulting catalog of requirements contributes to theory and practice alike, providing a systematic foundation for future research and guiding the implementation of interoperable, operational digital twins.
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