Browsing by Author "Rapp, Jannis"

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    Fostering the adaptation of collaborative circular business models through digital platform-based ecosystems developing a matching algorithm: a design science research approach.
    (Stellenbosch : Stellenbosch University, 2023-03) Rapp, Jannis; de Kock, Imke; Braun, Anja; Stellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.
    ENGLISH ABSTRACT: The principle of the circular economy is said to be a central building block for addressing the ecological, economic, and social problems of the evolved structures and processes in a highly interconnected world. Especially collaborative approaches that go beyond the boundaries of a single organisational unit are seen as having great potential. However, the challenge often is to bring together the right organisations, with the right concept, at the right time. This research work deals with the development of an algorithm that makes it possible to analyse organisations that have no prior interaction, in a digital platform-based ecosystem based on their digital image to see whether they can jointly realise business models that follow the principles of the circular economy. The approach of the matching process is based on the concept of digitally mapping proven circular business models and aligning them with the digital images of the organisations represented on the platform. On this basis, potentials are identified that are intended to offer an added value to the organisations on the platform in the form of suggestions. Methodologically, the thesis follows a design science research approach. An accompanying task is the configuration of a development environment to realise the design cycle around the matching algorithm. In this context, the process of matchmaking, a sufficient system architecture, a data model, a framework for the investigation of well-founded circular collaborative business models, and a graphical user interface are developed, accompanied by use cases. With reference to several literature reviews, including systematic literature reviews following the preferred reporting items for systematic reviews and meta-analyses framework, the foundations for the development deliverables are laid. An artefact in the Python development environment based on a multi-attribute decisionmaking approach is successfully verified via scenario and load testing using the user interface and is ready for implementation and associated validation involving user groups.