@article{59335,
  abstract     = {{Technological advancements and evolving value orientations reshape future value creation and pose new requirements for service innovation. While a variety of disciplines are developing new approaches to drive service innovation, this is primarily done in isolation and generates only fragmented solutions. Sociological theory has proposed “boundary objects” as an effective umbrella for communication and cooperation among communities. Therefore, we introduce continuous value shaping (CVS) as a boundary object describing service innovation approaches along five principles. We reflect on this concept through the different disciplinary lenses of researchers in service marketing, information systems, service engineering, sociology of work, and innovation management. These perspectives highlight how the CVS principles already connect to discourses within the individual disciplines. However, the CVS concept will not only provide an umbrella to embrace existing activities in different academic disciplines. It also assists to identify research themes that will benefit from uniting the power of these disciplines, and it can serve as an integrating framework to conceptualize complex service innovation approaches. Thus, the CVS concept should guide both researchers and practitioners to develop and implement novel innovation and transformation efforts—in and across organizations.}},
  author       = {{Böhmann, Tilo and Roth, Angela and Satzger, Gerhard and Benz, Carina and Beverungen, Daniel and Boes, Andreas and Breidbach, Christoph and Gersch, Martin and Gudergan, Gerhard and Hogreve, Jens and Kurtz, Christian and Langes, Barbara and Leimeister, Jan Marco and Lewandowski, Tom and Meiren, Thomas and Nägele, Rainer and Paluch, Stefanie and Peters, Christoph and Poeppelbuss, Jens and Robra-Bissantz, Susanne and Schultz, Carsten and Schumann, Jan H. and Wirtz, Jochen and Wünderlich, Nancy V.}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Continuous value shaping (CVS), Service research, Service innovation, Digitalization, Sustainability, Interdisciplinary research}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Continuous value shaping: A boundary concept for innovating service innovation approaches}}},
  doi          = {{10.1007/s12525-025-00771-1}},
  volume       = {{35}},
  year         = {{2025}},
}

@article{39976,
  abstract     = {{The context of the study is the increasing digitalisation of the living environment of primary school students, which is to be introduced into primary schools according to theoretical and educational policy guidelines. In this regard, further teacher
training on digital media in classrooms are particularly relevant, on the one hand to promote teachers’ digital-related pedagogical knowledge and content knowledge (DPaCK). On the other hand, studies also reveal positive correlations among teacher training, teaching activities, and students’ learning outcomes. In-service teacher training courses with adaptive support by a trainer in particular have
proven to be effective. Against the background of various research studies on professional development of teachers, a corresponding model of tripartite learning outcomes has been established and serves as a broad theoretical framework. However, the specific relationship between in-service teacher training with adaptive support, DPaCK, and computational thinking of primary school students in the context of the German primary school subject Sachunterricht has not been sufficiently studied. Therefore, the following research questions can be derived: (1) To what extent does training with adaptive support on the topic of learning robots contribute to the development of teachers’ DPaCK? (2) Which effects can be ascertained on the students’ computational thinking in technology-related Sachunterricht? To investigate this relationship, an intervention study in a pre-post design with an experimental group, a control group, and a baseline is appropriate. As results are not yet available at this point, the present paper focuses on the presentation of the theoretical background and empirical approaches.}},
  author       = {{Janicki, Nicole and Tenberge, Claudia}},
  journal      = {{Australasian Journal of Technology Education}},
  keywords     = {{technology education, teacher professionalisation, Computational Thinking, digitalization, learning robots}},
  title        = {{{Technology education in elementary school using the example of 'learning robots' – development and evaluation of an in-service teacher training concept}}},
  doi          = {{https://doi.org/10.15663/ajte.v9.i0.103}},
  volume       = {{9}},
  year         = {{2023}},
}

@inbook{37902,
  author       = {{Janicki, Nicole}},
  booktitle    = {{Technik: Verstehen wir, was wir nutzen!? - Tagungsband zur 23. Jahrestagung der Deutschen Gesellschaft für Technische Bildung in Mannheim vom 24.-25. September 2021. }},
  editor       = {{Binder, Martin and Wiesmüller, Christian and Finkbeiner, Timo}},
  keywords     = {{technology education, teacher professionalisation, Computational Thinking, digitalization, learning robots}},
  location     = {{Mannheim}},
  pages        = {{266--286}},
  title        = {{{Entwicklung und Evaluation eines Fortbildungskonzepts im Kontext der technischen Bildung an Grundschulen am Beispiel von Lernrobotern}}},
  year         = {{2022}},
}

@inbook{34704,
  abstract     = {{One of the most powerful events in the still young 21st century is certainly the outbreak of the coronavirus and the following COVID-19 pandemic. Massive economic as well as social distress caused worldwide devastation. In Germany, not only stores, factories, cultural facilities were closed, but also – for the first time in history – schools were closed nationwide. Closed working sites and vocational schools, as well as working sites, which remained open due to their systemic relevance, led to so far unknown challenges in Germany’s vocational education system. A very good example are the dual apprenticeships, such as trained retail salesman, which were only partially affected by closures. The main goal of education policy was to compensate personal communication and interaction via digital media. This article’s main aim is to reveal the strategies vocational schools have developed to overcome the challenges they had to face because of the pandemic.}},
  author       = {{Sommer, Christian and Szczesny, Daniela}},
  booktitle    = {{Berufsausbildung zwischen Hygienemaßnahmen und Lockdown(s). Folgen für die schulische und außerschulische Berufsausbildung in Schule, im Betrieb und bei Bildungsträgern.}},
  editor       = {{Heisler, Dietmar and Meier, Jörg A.}},
  keywords     = {{COVID-19, Digitalization, Vocational education and training, Retail}},
  pages        = {{329--348}},
  title        = {{{Organisation der dualen Berufsausbildung zum/zur Verkäufer:in und Kaufmann:frau im Einzelhandel im Zeichen der COVID-19-Pandemie.}}},
  doi          = {{10.3278/9783763972579}},
  year         = {{2022}},
}

@inproceedings{27140,
  abstract     = {{Hardly any other area has as much disruptive potential as digital platforms in the course of digitalization. After serious changes have already taken place in the B2C sector with platforms such as Amazon and Airbnb, the B2B sector is on the threshold to the so-called platform economy. In mechanical engineering, pioneers like GE (PREDIX) and Claas (365FarmNet) are trying to get their hands on the act. This is hardly a promising option for small and medium-sized companies, as only a few large companies will survive. Small and medium-sized enterprises (SMEs) are already facing the threat of losing direct consumer contact and becoming exchangeable executers. In order to prevent this, it is important to anticipate at an early stage which strategic options exist for the future platform economy and which adjustments to the product program should already be initiated today. Basically, medium-sized companies in particular lack a strategy for an advantageous entry into the future platform economy. The paper presents different approaches to master the challenges of participating in the platform economy by using platform patterns. Platform patterns represent proven principles of already existing platforms. We show how we derived a catalogue with 37 identified platform patterns. The catalogue has a generic design and can be customized for a specific use case. The versatility of the catalogue is underlined by three possible applications: (1) platform ideation, (2) platform development, and (3) platform characterization.}},
  author       = {{Drewel, Marvin and Özcan, Leon and Gausemeier, Jürgen and Dumitrescu, Roman}},
  booktitle    = {{Journal of the Knowledge Economy}},
  editor       = {{Carayannis, Elias G. }},
  keywords     = {{Digitalization, Digital platforms, Platform economy, Multisided markets, B2B platforms}},
  pages        = {{519--543}},
  publisher    = {{Springer}},
  title        = {{{Platform Patterns - Using Proven Principles to Develop Digital Platforms}}},
  doi          = {{10.1007/s13132-021-00772-3}},
  volume       = {{Volume 12}},
  year         = {{2021}},
}

@inproceedings{29298,
  abstract     = {{Die Themen „Big Data“, „Künstliche Intelligenz und „Data Science“ werden seit einiger Zeit nicht nur in der breiten Öffentlichkeit kontrovers diskutiert, sondern stellen für die Ausbildung in den IT- und IT-nahen Berufen schon heute neue Herausforderungen dar, die in Zukunft durch die gesellschaftliche und technologische Weiterentwicklung hin zu einer Datengesellschaft noch größer werden.
An dieser Stelle stellt sich die Frage, welche Aspekte dieses großen Themenkomplexes für Schule und Ausbildung von Wichtigkeit sind und wie diese Themen sinnstiftend und gewinnbringend in die informatische Ausbildung in verschiedenen Bildungsgängen integriert werden können. Im Rahmen des von uns im Jahr 2017 organisierten Symposiums zum Thema „Data Science“ wurden für die Bildung relevante Aspekte erörtert, wodurch als Kernelemente für den Unterricht Algorithmen der Künstlichen Intelligenz und ihre Anwendung in Industrie und Gesellschaft, Explorationen von Big Data sowie der Umgang mit eigenen Daten in sozialen Netzwerken herausgearbeitet wurden. Ziel ist, aus diesen Themenbereichen sowohl ein umfassendes Curriculum als auch Module für verschiedene Unterrichtsszenarien zu entwickeln und zu erproben. Durch diese Materialien soll es Lehrkräften aus der Informatik, Mathematik oder Technik ermöglicht werden, diese Themen auf Basis des Curriculums und der erprobten Unterrichtskonzepte selbst zu unterrichten.
Hierfür wurde im Rahmen des Projekts ProDaBi (Projekt Data Science und Big Data in der Schule, https://www.prodabi.de), initiiert von der Telekom Stiftung, ein experimenteller Projektkurs entwickelt, den wir mit Schüler:innen der Sekundarstufe II an der Universität Paderborn im Schuljahr 2018/19 durchführten. Dieser Kurs enthält neben einem Modul zur Exploration von Big Data und einem weiteren Modul zum Maschinellen Lernen als Teil der Künstlichen Intelligenz auch eine Projektphase, die es in Zusammenarbeit mit lokalen Unternehmen den Schüler:innen
ermöglicht, das Erlernte in ein reales Data Science-Projekt einzubringen. Aus den Erfahrungen dieses Projektkurses sowie den parallel durchgeführten Erprobungen einzelner Bausteine auch mit beruflichen Schulen werden ab dem Schuljahr 2019/20 die hierfür verwendeten Materialien weiterentwickelt und weiteren Kooperationspartnern zur Erprobung zur Verfügung gestellt. Damit wurden zum Ende des Projekts nicht nur vollständige Unterrichtsmaterialien, sondern auch ein umfassendes Curriculum entwickelt.}},
  author       = {{Opel, Simone Anna and Schlichtig, Michael}},
  booktitle    = {{Sammelband der 27. Fachtagung der BAG Berufliche Bildung}},
  editor       = {{Vollmer, Thomas and Karges, Torben and Richter, Tim and Schlömer, Britta and Schütt-Sayed, Sören}},
  keywords     = {{Berufsbildung, vocational education, Ausbildung, training, berufliche Weiterbildung, advanced vocational education, Digitalisierung, digitalization, Unterricht, teaching, Lehrmethode, teaching method, Interdisziplinarität, interdisciplinarity, Fachdidaktik, subject didactics, Curriculum, curriculum, gewerblich-technischer Beruf, vocational/technical occupation, Fachkraft, specialist, Qualifikationsanforderungen, qualification requirements, Kompetenz, competence, Lehrerbildung, teacher training, Bundesrepublik Deutschland, Federal Republic of Germany}},
  location     = {{Siegen}},
  pages        = {{176--194}},
  publisher    = {{wbv Media GmbH & Co. KG}},
  title        = {{{Data Science und Big Data in der beruflichen Bildung – Konzeption und Erprobung eines Projektkurses für die Sekundarstufe II}}},
  doi          = {{https://doi.org/10.3278/6004722w}},
  volume       = {{55}},
  year         = {{2020}},
}

@article{35313,
  abstract     = {{The article discusses the explanatory power of conceptual change for research on workplace learning in digitalized workplaces. Interestingly, research on conceptual change is well-established within the area of science education but widely neglected within the broad area of workplace learning research. Digitalization of work establishes new quality of tasks and tools by integrating workers and machines into digital networks. Hence, conceptual change can be considered a core concept for identifying workers’ successful adaption to digital transformation. Therefore, conceptual change research in the area of workplace learning in digitalized workplaces is highly relevant. The article reflects upon reasons, explores the potential of conceptual change for understanding workplace learning in digitalized workplaces, and illustrates the argumentation by exemplarily referring to digitalized farming. Finally, the article provides suggestions for future research.}},
  author       = {{Harteis, Christian and Goller, Michael and Caruso, Carina}},
  journal      = {{Frontiers in Education}},
  keywords     = {{conceptual change, digitalization, workplace learning, professional development, agriculture}},
  number       = {{1}},
  title        = {{{Conceptual Change in the Face of Digitalization}}},
  doi          = {{10.3389/feduc.2020.00001}},
  volume       = {{5}},
  year         = {{2020}},
}

@inbook{35836,
  abstract     = {{Digitalisierung ist derzeit ein viel diskutiertes Thema. Mit ihr werden derart tief grei- fende Veränderungen der Gesellschaft und Arbeitswelt erwartet, dass sie häufig als digitale Revolution bezeichnet wird. Gleichzeitig wirft die Auseinandersetzung mit diesen antizipierten Veränderungen viele noch unbeantwortete Fragen auf. Diese umfassen unter anderem Überlegungen hinsichtlich des Substitutionspotenzials menschlicher Arbeit durch die Digitalisierung, die Frage nach der Ausgestaltung der Rolle des Menschen in der Industrie 4.0 und schließlich Erwägungen in Bezug auf die Vorbereitung und Begleitung von Beschäftigten in der digitalen Transformation. Der vorliegende Beitrag gibt Aufschluss über die Dimensionen der Digitalisierung und die derzeit diskutierten Entwicklungslinien; er befasst sich weiterhin mit den sich daraus ergebenden Herausforderungen und Bedeutungen für die industrielle Arbeit und die Beschäftigten. Abschließend werden daraus abzuleitende Implikationen für die berufliche und allgemeine Bildung diskutiert.}},
  author       = {{Berisha-Gawlowski, Angelina  and Caruso, Carina and Goller, Michael and Harteis, Christian}},
  booktitle    = {{Digitalisierung am Übergang Schule Beruf Ansätze und Perspektiven in Arbeitsdomänen und beruflicher Förderung}},
  editor       = {{Heisler, Dietmar and Meier, Jörg}},
  isbn         = {{978-3-7639-6158-0}},
  keywords     = {{Digitalisierung, Industrie 4.0, Arbeit 4.0, berufliche Aus- und Weiterbildung, allgemeine Bildung / digitalization, industry 4.0, work 4.0, vocational education and training, general education}},
  pages        = {{33–51}},
  publisher    = {{wbv}},
  title        = {{{Auswirkungen der Digitalisierung industrieller Arbeit auf die berufliche und allgemeine Bildung}}},
  doi          = {{10.3278/6004725w}},
  volume       = {{56}},
  year         = {{2020}},
}

