@inproceedings{65756,
  author       = {{Hellweg, Talea Davina and Sandfort, Luc Dana and Reineke, Malte Fabian and Bartelheimer, Christian and Beverungen, Daniel}},
  booktitle    = {{European Conference on Information Systems (ECIS) 2026 Proceedings}},
  number       = {{6}},
  title        = {{{Temporary Fix Or Process Innovation? A Fuzzy-Set Qualitative Comparative Analysis Of Workarounds}}},
  year         = {{2026}},
}

@article{65909,
  abstract     = {{<jats:title>ABSTRACT</jats:title>
                  <jats:p>Creativity and innovation are often understood as the result of a complex interplay of hierarchical factors, such as national, regional and firm characteristics, or between organisational and individual factors. While recent applications of qualitative comparative analysis (QCA) have begun to model such configurational links, their hierarchical nature has received little empirical attention. As this paper demonstrates, theories that posit hierarchical configurations can and should be explored using the two‐step variant of QCA. The paper outlines the potential of the method for the field of creativity and innovation and helps to navigate key modelling decisions. An illustrative study explores the occurrence of informal employee innovation behaviour—workarounds—based on the Ability‐Motivation‐Opportunity (AMO) framework. The results of the two‐step QCA are superior in terms of reduced limited diversity and complexity to those of the conventional one‐step QCA. Overall, the method has considerable potential for empirically capturing the complex, hierarchical interactions inherent in many innovation processes.</jats:p>}},
  author       = {{Sandfort, Luc and Hellweg, Talea Davina and Radermacher, Katharina and Schneider, Martin}},
  issn         = {{0963-1690}},
  journal      = {{Creativity and Innovation Management}},
  publisher    = {{Wiley}},
  title        = {{{Modelling Hierarchical Configurations in Innovation Research With Two‐Step QCA: Methodological Recommendations and an Application to Workarounds}}},
  doi          = {{10.1111/caim.70053}},
  year         = {{2026}},
}

@article{65910,
  author       = {{Hellweg, Talea Davina and Radermacher, Katharina and Schneider, Martin and Sandfort, Luc Dana}},
  journal      = {{PersonalQuarterly 2026(01)}},
  pages        = {{50--57}},
  title        = {{{Verstecktes Innovationspotenzial: Entstehungsfaktoren von Workarounds. }}},
  year         = {{2026}},
}

@inbook{49469,
  abstract     = {{Today, it is possible to collect and connect large amounts of digital data from various sources and life domains. This chapter examines the potential and the risks of this development from an interdisciplinary perspective. It defines the ‘global digital twin’ of a human being as the sum of all digitally stored information and predictive knowledge about a person. It points out that, compared to the digital twin of a machine, the human global digital twin is far more complex because it comprises the genetic code and the biographic code of a person. The genetic code contains not only a simple ‘construction plan’ but also hereditary information, in a form that is difficult to read. The biographic code contains all other information that can be assembled about a person, which is obtained via data from cameras, microphones, or other sensors, as well as general personal information. When the growing wealth of information concerning the genetic code and the biographical code is properly utilised, insights from biology and the behavioural sciences may be used to predict personal events such as health problems, job resignations, or even crimes. Because our own interests and those of private firms are partly in conflict over the use of this powerful knowledge, it is still unclear whether the global digital twins of humans will become a liberating or disciplining force for citizens. On the one hand, human beings are not machines: They are aware of their digital twin and therefore are able to influence it throughout their lives. Because of their free will, human beings are in general difficult to predict. Dystopias of full control over individual behaviour are therefore unlikely to materialise. On the other hand, private firms are beginning to take advantage of the available digital twins of humans by monopolising data access and by commercialising predictive knowledge. This is problematic because, unlike machines, human beings cannot only benefit from but also suffer due to their digital twins as they attempt to shape their own lives. We illustrate these issues with some examples and arrive at two conclusions: It is in the public interest for people to be granted more property rights over their personal global digital twins, and publicly funded research needs to become more interdisciplinary, much like private firms that have already begun to perform interdisciplinary research.}},
  author       = {{Hellweg, Talea Davina and Schneider, Martin and Rückert, Ulrich and Harteis, Christian and Pilz, Sarah}},
  booktitle    = {{The Digital Twin of Human}},
  title        = {{{Who Will Own Our Global Digital Twin: The Power of Genetic and Biographic Information to Shape Our Lives}}},
  year         = {{2023}},
}

@article{42776,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>This paper examines how human and organizational factors need to be designed to achieve strong technological maturity of either the products or the production process. In a fuzzy-set qualitative comparative analysis (fs/QCA), a combination of intensive training and strong worker participation is found to be associated with strong technological maturity in the two organizational contexts: firms with a strong entrepreneurial culture and in large firms oriented towards customer-oriented innovation. Overall, the paper uncovers designs or causal recipes for a successful digital transformation.</jats:p>}},
  author       = {{Schneider, Martin and Hellweg, Talea Davina and Menzefricke, J. S.}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{791--800}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Identification of Human and Organizational Key Design Factors for Digital Maturity – A Fuzzy-Set Qualitative Comparative Analysis}}},
  doi          = {{10.1017/pds.2022.81}},
  volume       = {{2}},
  year         = {{2022}},
}

