Entwicklung von technischen Lösungsmög-lichkeiten zu Herausforderungen bei der Mo-bilität einer zukünftigen „Sharing Economy“ (Development of technical solutions for challenges of the mobility of future sharing economies)
Author: Sven Höhl
Bachelor-Thesis | 2019
Fachgebiet Systemzuverlässigkeit, Adaptronik und Maschinenakustik SAM
Authors: Farrukh, C., Athanassopoulou, N., & Ilevbare, I.
This paper explores how coaching using University generated knowledge can be seen as a form of inbound organizational innovation (OI) that enables SMEs to improve their innovation activities. Evidence from one of seven OI pilots within the EU Science2Society program is starting to offer analytical evidence of what aspects of the approach are successful and why, and discuss the learning from the project with respect to inbound open innovation.
Authors: Claeys, Claus; Pluymers, Bert; Van der Auweraer, Herman; Desmet, Wim
To boost realization of Siemens Industry Software’s and KU Leuven’s complementary ambitions to advance, respectively, the industrial state-of-the-use and scientific state-of-theart
in mechanic and mechatronic system design and analysis, both organizations codeveloped a concept they label ‘Dual Desk PhD researchers’.
Paper presented in TRA2018, Vienna, Austria, April 16-19, 2018.
This poster was presented by Bax & Company during the University-Industry Interaction Conference (UIIN, 20-22 June 2018) and it shows how this company takes part in the Future of Online Knowledge Marketplace workshop by improve the way European research connects to business.
This poster was presented during the University-Industry Interaction Conference (London, 20-22 June 2018).
Conducting empirical research in software engineering industry is a process, and as such, it should be generalizable. The aim of this paper is to discuss how academic researchers may address some of the challenges they encounter during conducting empirical research in the software industry by means of a systematic and structured approach. The protocol developed in this paper should serve as a practical guide for researchers and help them with conducting empirical research in this complex environment.
The open science literature has focused on ways to increase the openness of research data at universities, while links with industry in the context of open innovation have received less attention. The aim of this paper is to increase understanding of how open science can lead to open innovation.
Big data can provide immense economic, scientific and social value. New value and information can be derived from big data by linking up existing data sets. This has pushed organisations to pursue open data initiatives. These initiatives can be found among government, industry and academia.
While organisational benefits are clear to pursue open innovation in the field of big data, individual researchers’ motivation for opening their big data sets have not been addressed to make open science realise its true potential.
There exists today little motivation for researchers to share their research data, which is their source of scientific reputation. This paper addresses this major challenge for open science and identifies alternative business models for researchers to open their data repositories for external users. Our research question is “How to open big data in a way that it can be transferred to sustainable business cases that bring value to data owners as well as potential external users?” Our paper is based on a case study of a Finnish foundation and its currently closed database.
