Titlebook: Exploring Service Science; 10th International C Henriqueta Nóvoa,Monica Dr?goicea,Niklas Kühl Conference proceedings 2020 The Editor(s) (if

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https://doi.org/10.1007/978-3-8350-9274-7M is crucial for a further proliferation of this technology. Bin full events are the major reason for Reverse Vending Machine (RVM) downtime at the world leader in the RVM market. The paper at hand develops and evaluates an approach based on machine learning and statistical approximation to foresee

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Horizontale Supply-Chain-Beziehungenrs. This paper proposes a model for real-time basket addition in the e-grocery sector that includes predictors inferred from anonymous clickstream data, such as a Markov page view sequence discrimination value. This model aims at anticipating the addition and the non-addition of items to customers’

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Tradition — Innovation — Visionngs on such platforms are typically facilitated by intermediaries. While blockchain technology can serve as means for creating a digital platform, it makes these intermediaries obsolete by creating trust through the system itself. Yet, blockchain is often referred to as “innovative technology in sea

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Couch Potato: The Antithesis of Hormesis,oT), Big Data and Biometrics. Consequently, further research opportunities in the service industry domain are also expected. In light of the above, the purpose of this paper is to explore the potentialities and limitations of service robots in the hospitality industry. To this end, this paper uses a

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Hormonal Actions in Non-endocrine Systemsrstand the evolution of the FinTechs ecosystem, through a socio-technical system theory and service innovation lense. A case study research methodology was used, in which 6 Brazilian and 5 Portuguese FinTechs were analyzed. Primary data was collected using semi-structured interviews with managers an

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978-3-030-38723-5The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl