The Digital Supply Chain of the Future: Applications, Implications, Business Models

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    M_LK 2.0: Leveraging Digital Technologies for Planternative Ecosystems
    ( 2023-01-03) Schroder, Anika ; Andersson, Freja ; Heiberg, Kesia
    The agri-food industry is one of the largest contributors to our climate crisis by emitting one third of the world’s greenhouse gases. However, the industry also brings great potential to reverse climate change. For example, a plant-based diet might be the single most efficient action to combat climate change. This paper explores the plant-based dairy industry and the utilization of digital technologies. We analyze how the plant-based industry is leveraging digital technologies to revolutionize traditional market configurations. The findings show that digital technologies enable systemic change and facilitate the emergence of digital ecosystems. In particular, Artificial Intelligence (AI) technology can be seen as a digital disruptor. For example, in the plant based dairy industry, AI calculates combinations for plant-based products that mimic the flavor and texture of animal products.
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    Designing Digital Platforms: A Synthetization of Relevant Design Topics for Business Models from a Literature Review
    ( 2023-01-03) Goertler, Thomas ; Papert, Marcel ; Schmidt, Malou
    Digital platforms (DPs) represent a challenging research object. In this context, scientific literature has produced a large number of publications studying DPs. Given the importance of designing DPs in both academia and practice, the purpose of this study is to synthesize the current research findings on DPs and provide a framework with possible design topics under consideration from a business model perspective. A systematic literature review (SLR) was conducted to identify and synthesize the relevant findings. We analyzed 22 publications published before May 2021. The analysis shows that, in terms of "Value Propositions", most design topics were identified. In contrast, only one design topic was identified for "Customer Relationships", "Customer Segments", and "Cost Structure". In sum, our results present a framework with design topics for DPs and support the alignment of further research. Practitioners receive an overview of design topics for DPs that encourage today`s digital transformation projects.
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    Designing an AI-enabled Bundling Generator in an Automotive Case Study
    ( 2023-01-03) Spreitzenbarth, Jan ; Stuckenschmidt, Heiner ; Bode, Christoph
    Procurement and marketing are the main boundary-spanning functions of an organization. Some studies highlight that procurement is less likely to benefit from artificial intelligence emphasizing its potential in other functions, i.e., in marketing. A case study in the automotive industry of the bundling problem utilizing the design science approach is conducted from the perspective of the buying organization contributing to theory and practice. We rely on information processing theory to create a practical tool that is augmenting the skills of expert buyers through a recommendation engine to make better decisions in a novel way to further save costs. Thereby, we are adding to the literature on spend analysis that has mainly been looking backward using historical data of purchasing orders and invoices to infer saving potentials in the future – our study supplements this approach with forward-looking planning data with inherent challenges of precision and information-richness.
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    Introduction to the Minitrack on The Digital Supply Chain of the Future: Applications, Implications, Business Models
    ( 2023-01-03) Bodendorf, Freimut ; Chen, Haozhe ; Pflaum, Alexander ; Prockl, Günter
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    Enterprise Information Systems vs. Digital Twins – A Case Study on the Properties, Purpose, and Future Relationship in the Logistics Sector
    ( 2023-01-03) Lachenmaier, Jens ; Weber, Patrick ; Lasi, Heiner
    Traditional enterprise information systems have been around for more than 40 years. They are designed to support business processes and deliver information to the people within a company who require it for their work. However, there are blind spots that these systems are unable to address. In this article, we investigate how digital twins, which are based on the technology and architecture of the Industrial Internet of Things, as well as the principles of cyber-physical systems, can be used to fill such gaps and elucidate how their application will affect the prospective relationship between internal information systems and digital twins. The insights are based on a single case study within the logistics department of an industrial company and its service provider. From the case study, properties of both system types were identified that provided a basis for comparison and stimulated discussion about their future dependencies.