@misc{12696,
  abstract     = {{The conditions under which R&D resources are allocated either to individual or collective R&D projects are largely unexplored. We contribute to closing this gap by asking under which conditions firms – each of which occupies a unique position along the automotive industry value chain – may overcome innovation barriers and spend scarce resources for collective R&D projects. We use a framed laboratory experiment to scrutinize the of different situations on the decision to spend the R&D budget for individual or collective R&D projects. The framing originates from a real-world case study of the massive metal forging industry. We identify constellations that support budget spending for collaborative purposes, e.g., sequential decision-making, which also increase the overall welfare, even in the case of unequally distributed R&D budgets.}},
  author       = {{Buchmann, Tobias and Haering, Alexander and Kudic, Muhamed and Rothgang, Michael}},
  booktitle    = {{Journal of Innovation Economics & Management}},
  issn         = {{2032-5355}},
  keywords     = {{Collaboration, Economics of Innovation, experiment, Incentives, Public policy, R&D.}},
  number       = {{2}},
  pages        = {{191--222}},
  publisher    = {{De Boeck Université}},
  title        = {{{Overcoming Innovation Barriers along the Automotive Industry Value Chain – A Framed Experiment}}},
  doi          = {{10.3917/jie.044.0166}},
  volume       = {{44}},
  year         = {{2024}},
}

@misc{12697,
  abstract     = {{The automotive industry is extremely important in Germany and its OEMs and suppliers are still globally competitive. However, the shift from combustion engines to e-mobility drive trains is restructuring the industry. Accordingly, this paper analyzes the determinants affecting the emergence of e-mobility drive technologies in the automotive sector. In doing so, we emphasize the role of digital technologies in the sector’s environmental transformation, drawing from the “twin-transition” framework, where digital and green shifts mutually influence one another. Methodically, we use an event-history approach to empirically explore the early appearance of R&D activities in the form of patent-based or funded-project-based collaboration events at the regional level over the period 1990 to 2018. Our results indicate positive and significant relatedness between various digitalization variables and the early emergence of e-mobility activities in regions. At the same time, the geographical context appears to be only of marginal importance.}},
  author       = {{Wolf, Patrick and Kudic, Muhamed and Buchmann, Tobias}},
  booktitle    = {{Journal of Innovation Economics & Management}},
  issn         = {{2032-5355}},
  keywords     = {{Twin-Transition, Sustainable Transition, E-Mobility Regional Transition, Event History Analysis, R&D Collaboration}},
  number       = {{3}},
  pages        = {{95--122}},
  publisher    = {{De Boeck Université }},
  title        = {{{Digitalization and the Emergence of E-Mobility Technology in German Regions}}},
  doi          = {{10.3917/jie.pr1.0170}},
  volume       = {{45}},
  year         = {{2024}},
}

@misc{12994,
  abstract     = {{HUMAN 2023 is the 6th workshop of a series for the ACM Hypertext conferences. The HUMAN workshop has a strong focus on the user and thus is complementary to the strong machine analytics research direction that could be experienced in previous conferences.The user-centric view on hypertext not only includes user interfaces and interaction, but also discussions about hypertext application domains as well as human-centered AI. Furthermore, the workshop raises the question of how original hypertext ideas (e. g., Doug Engelbart’s "augmenting human intellect" [7] or Jeff Conklin’s "hypertext as a computer-based medium for thinking and communication" [6]) can improve today’s hypertext systems.}},
  author       = {{Rubart, Jessica and Atzenbeck, Claus}},
  booktitle    = {{Proceedings of the 34th ACM Conference on Hypertext and Social Media}},
  isbn         = {{979-8-4007-0232-7}},
  keywords     = {{user interfaces, information structuring, decision making, human-centered AI, cognitive aspects, scientific community, digital humanities, user interaction, human factors, user-centric, annotation, adaptive hypertext, hypermedia, collaboration, information systems, augmentation, hypertext, communication, intercultural aspects}},
  location     = {{Rome, Italy}},
  publisher    = {{ACM}},
  title        = {{{HUMAN’23: 6th Workshop on Human Factors in Hypertext}}},
  doi          = {{10.1145/3603163.3610576}},
  year         = {{2023}},
}

@article{10645,
  abstract     = {{Artificial Intelligence (AI)-based applications promise great potential benefits for companies. However, an isolated consideration of the technical system is not sufficient for the design. Rather, it is necessary to design the entire work system taking into account the socio-technical system approach. This enables the combination of the strengths of people and intelligent systems. This paper presents an approach for a socio-technical requirements elicitation in the design of AI-based systems by adapting the HTO-analysis. First, a mission statement is developed. Based on a detailed process modelling, existing data and systems are recorded. In addition, all relevant stakeholder groups are included by conducting interviews and surveys. Thus, the procedure enables the derivation of a comprehensive catalogue of requirements. The application of the approach is illustrated by using an example from industrial practice, the design of an intelligent workforce planning system.}},
  author       = {{Gabriel, Stefan and Bentler, Dominik and Grote, Eva-Maria and Junker, Caroline and Wendischhoff, David Meyer zu and Bansmann, Michael and Latos, Benedikt and Hobscheidt, Daniela and Kühn, Arno and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{socio-technial design socio-technial design, requirements elicitation, AI-human-collaboration, work design : workforce planning requirements elicitation AI-human-collaboration work design workforce planning}},
  pages        = {{431--436}},
  publisher    = {{Elsevier BV}},
  title        = {{{Requirements analysis for an intelligent workforce planning system: a socio-technical approach to design AI-based systems}}},
  doi          = {{10.1016/j.procir.2022.05.274}},
  volume       = {{109}},
  year         = {{2022}},
}

@inproceedings{682,
  abstract     = {{Well-designed interactive visualizations help users gaining insights into an organization's data and, finally, making decisions. In the Business Intelligence (BI) context, the most popular visualization approach is dashboards, which combine multiple visual components, such as charts, on a single view. Well-founded decisions require the collaboration of several analysts, such as domain experts, line-of-business managers, or key suppliers. For face-to-face collaboration settings, multi-display environments and smart meeting rooms have improved. In the BI context, support for boardrooms is being discussed for this setting. In this paper, we propose annotation dashboards, based on a multitouch and multiuser interaction approach, which are integrated in a multi-display environment constituting a BI digital boardroom. In addition, means of semantic navigation help business users to easily get insights into business context information.}},
  author       = {{Rubart, Jessica and Lietzau, Benjamin and Soehlke, Patrick and Alex, Bastian and Becker, Stephan and Wienboeker, Tim}},
  booktitle    = {{2017 IEEE 11th International Conference on Semantic Computing (ICSC)}},
  isbn         = {{978-1-5090-4285-2 }},
  keywords     = {{Semantics, Data visualization, Navigation, Collaboration, Context, Business intelligence, Digital Boardroom, Multitouch and Multiuser Interaction}},
  location     = {{San Diego, CA, USA}},
  publisher    = {{IEEE}},
  title        = {{{Semantic Navigation and Discussion in a Digital Boardroom}}},
  doi          = {{10.1109/icsc.2017.39}},
  year         = {{2017}},
}

@inproceedings{587,
  abstract     = {{Development engineers are most valued for their excellence in physical product development, but on the flipside, project managers face problems when trying to fit them into effectively running development processes. Because of the advantages of Lean Management in production (Lean Production), process managers often try to transfer lean principles directly to development processes, not considering that major differences exist between well-described production processes and new product development processes which include much more uncertainty and risk. Nevertheless, several lean principals are applicable in product development. This paper describes five lean development insights (LDIs) which were found when optimizing an entire product realization process. Lean principles have been examined and then translated to collaboration between product development and tool manufacturing at a globally operating German family-run company. These LDIs are meant to help project and process managers, consultants and developers to rethink their ways of organizing product development. The application of these insights will result in increased transparency, intensified collaboration, improved processes and quality, shortened lead times, and also eliminate waste.}},
  author       = {{Riediger, M. and Villmer, Franz-Josef}},
  booktitle    = {{Production Engineering and Management}},
  editor       = {{Villmer, Franz-Josef and Padoano, Elio}},
  isbn         = {{978-3-946856-00-9}},
  keywords     = {{Lean development, Collaboration, Agile, PLM, Frontloading, Simultaneous engineering}},
  location     = {{Lemgo}},
  number       = {{1}},
  pages        = {{111--122}},
  title        = {{{Five Insights in Effectively Managing Product Development}}},
  year         = {{2016}},
}