TY - CHAP U1 - Konferenzveröffentlichung A1 - Urru, Augusto A1 - Bonini, Marco A1 - Echelmeyer, Wolfgang T1 - The STIC analysis : a decision support tool for technology related investments in logistics T2 - 2017 IEEE International Conference on Service Operations and Logistics, and Informatics : September 18-20, 2017, Bari, Italy : proceedings N2 - The success of an autonomous robotic system is influenced by several interdependent factors not easily identifiable. This paper is set to lay the foundation of a new integrated approach in order to deeply examine all the parameters and understand their contribution to success. After introducing the problem, two cutting edge autonomous systems for the process of unloading of containers will be presented. Then the STIC analysis, a recently developed method for modelling and interpreting all the parameters, will be introduced. The preliminary results of applying such a methodology to a first study case, based on one of the two systems available to the authors, will be shortly presented. Future research is in the end recommended in order to prove that this methodology is the only way to efficiently and effectively mitigate the risk that stops potential users from investing in autonomous systems in the logistics sector. KW - STIC analysis KW - autonomous systems KW - logistics KW - human-robot interaction KW - investing in new technologies Y1 - 2017 SN - 978-1-5090-5847-1 SB - 978-1-5090-5847-1 U6 - https://doi.org/10.1109/SOLI.2017.8120965 DO - https://doi.org/10.1109/SOLI.2017.8120965 SP - 33 EP - 38 S1 - 6 PB - IEEE CY - Piscataway, NJ ER -