@article{UllrichVladova2016,
  author    = {Ullrich, Andre and Vladova, Gergana},
  title     = {Weighing the Pros and Cons of Engaging in Open Innovation},
  series = {Technology Innovation Management Review},
  volume    = {8},
  journal   = {Technology Innovation Management Review},
  publisher = {Carleton University Graphic Services},
  address   = {Ottawa},
  issn      = {1927-0321},
  pages     = {34 -- 40},
  year      = {2016},
  abstract  = {The positive aspects of open innovation projects are widely discussed in innovation management research and practice by means of case studies and best practices. However, enterprises, particularly small and medium-sized enterprises (SMEs) also face miscellaneous challenges in open innovation practice, leading to uncertainty and even renunciation of open innovation project participation. Thus, it is essential for SMEs to find the right balance between possible positive effects and negative consequences - the latter being the less studied "dark sides" of open innovation. However, appropriate methods of finding this balance are still lacking. In this article, we discuss the assessment of open innovation project participation by presenting a weighing and decision process framework as a conceivable solution approach. The framework includes an internal, external, and integrated analysis as well as a recommendation and decision phase. Piece by piece, we investigate the current situation and the innovation goals of the enterprise as an initial point for a decision for or against engaging in open innovation. Furthermore, we discuss the development of a software tool that automatically applies this framework and allows self-assessment by SMEs.},
  language  = {en}
}
@article{ThimUllrichEigelshovenetal.2020,
  author    = {Thim, Christof and Ullrich, Andr{\´e} and Eigelshoven, Felix and Gronau, Norbert and Ritter, Ann-Carolin},
  title     = {Crowdsourcing bei industriellen Innovationen},
  series = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  volume    = {36},
  journal   = {Industrie 4.0 Management : Gegenwart und Zukunft industrieller Gesch{\"a}ftsprozesse},
  number    = {6},
  publisher = {GITO mbH Verlag},
  address   = {Berlin},
  issn      = {2364-9208},
  doi       = {10.30844/I40M_20-6_S9-13},
  pages     = {9 -- 13},
  year      = {2020},
  abstract  = {Die Innovationst{\"a}tigkeit im industriellen Umfeld verlagert sich durch die Digitalisierung hin zu Produkt-Service-Systemen. Kleine und mittlere Unternehmen haben sich in ihrer Entwicklungst{\"a}tigkeit bisher stark auf die Produktentwicklung bezogen. Der Umstieg auf „smarte" Produkte und die Kopplung an Dienstleistungen erfordert h{\"a}ufig personelle und finanzielle Ressourcen, welche KMU nicht aufbringen k{\"o}nnen. Crowdsourcing stellt eine M{\"o}glichkeit dar, den Innovationsprozess f{\"u}r externe Akteure zu {\"o}ffnen und Kosten- sowie Geschwindigkeitsvorteile zu realisieren. Bei der Integration von Crowdsourcing-Elementen ist jedoch einigen Herausforderungen zu begegnen. Dieser Beitrag zeigt sowohl die Potenziale als auch die Barrieren einer Crowdsourcing-Nutzung im industriellen Umfeld auf.},
  language  = {de}
}
@article{PetzoltHoelzleKulliketal.2022,
  author    = {Petzolt, Sophie and H{\"o}lzle, Katharina and Kullik, Oliver and Gergeleit, Wiebke and Radunski, Anne},
  title     = {Organisational digital transformation of SMEs—development and application of a digital transformation maturity model for business model transformation},
  series = {International journal of innovation in management},
  volume    = {26},
  journal   = {International journal of innovation in management},
  number    = {3},
  publisher = {World Scientific Publ.},
  address   = {Singapore},
  issn      = {1363-9196},
  doi       = {10.1142/S1363919622400175},
  pages     = {43},
  year      = {2022},
  abstract  = {One of the most challenging difficulties for incumbent organisations, especially small- and medium-sized enterprises (SMEs), is to manage digital transformation driven by technological change. Incumbent organisations' responses to digital transformation have been extensively studied in the current literature. However, most research neglects digital transformation in SMEs. There are hardly any valid developed measures for the maturity of digital transformation. We present a holistic digital transformation maturity model based on an extensive literature review, qualitative computer-assisted data analysis, and empirical findings. The digital transformation maturity model focuses on small- and medium-sized enterprises' unique features and characteristics. We proved the practical applicability and relevance of the digital transformation maturity model in an extensive study involving various organisations, particularly German SMEs (n = 310). Organisations can use this model to assess themselves initially and, through this process, gain a comprehensive understanding of the multiple forms of digital transformation.},
  language  = {en}
}