@article{dePaulaMarxWolfetal.2022, author = {de Paula, Danielly and Marx, Carolin and Wolf, Ella and Dremel, Christian and Cormican, Kathryn and Uebernickel, Falk}, title = {A managerial mental model to drive innovation in the context of digital transformation}, series = {Industry and innovation}, journal = {Industry and innovation}, publisher = {Routledge, Taylor \& Francis Group}, address = {Abingdon}, issn = {1366-2716}, doi = {10.1080/13662716.2022.2072711}, pages = {24}, year = {2022}, abstract = {Industry 4.0 is transforming how businesses innovate and, as a result, companies are spearheading the movement towards 'Digital Transformation'. While some scholars advocate the use of design thinking to identify new innovative behaviours, cognition experts emphasise the importance of top managers in supporting employees to develop these behaviours. However, there is a dearth of research in this domain and companies are struggling to implement the required behaviours. To address this gap, this study aims to identify and prioritise behavioural strategies conducive to design thinking to inform the creation of a managerial mental model. We identify 20 behavioural strategies from 45 interviewees with practitioners and educators and combine them with the concepts of 'paradigm-mindset-mental model' from cognition theory. The paper contributes to the body of knowledge by identifying and prioritising specific behavioural strategies to form a novel set of survival conditions aligned to the new industrial paradigm of Industry 4.0.}, language = {en} } @article{BeverungenHessKoesteretal.2022, author = {Beverungen, Daniel and Hess, Thomas and K{\"o}ster, Antonia and Lehrer, Christiane}, title = {From private digital platforms to public data spaces}, series = {Electronic markets}, volume = {32}, journal = {Electronic markets}, number = {2}, publisher = {Springer}, address = {Berlin}, issn = {1019-6781}, doi = {10.1007/s12525-022-00553-z}, pages = {493 -- 501}, year = {2022}, abstract = {Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}, language = {en} } @article{Kostaedt2022, author = {Kost{\"a}dt, Peter}, title = {IT-Organisation in Hochschulen und ihren Bibliotheken}, series = {Bibliothek : Forschung und Praxis}, volume = {46}, journal = {Bibliothek : Forschung und Praxis}, number = {2}, publisher = {De Gruyter}, address = {Berlin}, issn = {0341-4183}, doi = {10.1515/bfp-2022-0009}, pages = {294 -- 300}, year = {2022}, abstract = {The great importance of information technology for scientific disciplines and central infrastructure units of universities is beyond question. The article provides a historical overview of the beginnings and further development of IT in German universities since the 1950s, with a special focus on libraries and data centers. It appears that different phases of technology development have led to heterogeneous organizational IT structures within universities. In the last 20 years, DFG and HRK are therefore recommending a clarification of responsibilities within IT governance and an implementation of a CIO model. As various studies are showing, this has so far only partially succeeded. Nowadays, the challenge for many universities is still to libertate the IT organization from its reactive role and move it to an active driver for digital transformation.}, language = {de} } @phdthesis{Dehnert2022, author = {Dehnert, Maik}, title = {Studies on the Digital Transformation of Incumbent Organizations}, doi = {10.25932/publishup-54832}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-548324}, school = {Universit{\"a}t Potsdam}, pages = {339}, year = {2022}, abstract = {Traditional organizations are strongly encouraged by emerging digital customer behavior and digital competition to transform their businesses for the digital age. Incumbents are particularly exposed to the field of tension between maintaining and renewing their business model. Banking is one of the industries most affected by digitalization, with a large stream of digital innovations around Fintech. Most research contributions focus on digital innovations, such as Fintech, but there are only a few studies on the related challenges and perspectives of incumbent organizations, such as traditional banks. Against this background, this dissertation examines the specific causes, effects and solutions for traditional banks in digital transformation - an underrepresented research area so far. The first part of the thesis examines how digitalization has changed the latent customer expectations in banking and studies the underlying technological drivers of evolving business-to-consumer (B2C) business models. Online consumer reviews are systematized to identify latent concepts of customer behavior and future decision paths as strategic digitalization effects. Furthermore, the service attribute preferences, the impact of influencing factors and the underlying customer segments are uncovered for checking accounts in a discrete choice experiment. The dissertation contributes here to customer behavior research in digital transformation, moving beyond the technology acceptance model. In addition, the dissertation systematizes value proposition types in the evolving discourse around smart products and services as key drivers of business models and market power in the platform economy. The second part of the thesis focuses on the effects of digital transformation on the strategy development of financial service providers, which are classified along with their firm performance levels. Standard types are derived based on fuzzy-set qualitative comparative analysis (fsQCA), with facade digitalization as one typical standard type for low performing incumbent banks that lack a holistic strategic response to digital transformation. Based on this, the contradictory impact of digitalization measures on key business figures is examined for German savings banks, confirming that the shift towards digital customer interaction was not accompanied by new revenue models diminishing bank profitability. The dissertation further contributes to the discourse on digitalized work designs and the consequences for job perceptions in banking customer advisory. The threefold impact of the IT support perceived in customer interaction on the job satisfaction of customer advisors is disentangled. In the third part of the dissertation, solutions are developed design-oriented for core action areas of digitalized business models, i.e., data and platforms. A consolidated taxonomy for data-driven business models and a future reference model for digital banking have been developed. The impact of the platform economy is demonstrated here using the example of the market entry by Bigtech. The role-based e3-value modeling is extended by meta-roles and role segments and linked to value co-creation mapping in VDML. In this way, the dissertation extends enterprise modeling research on platform ecosystems and value co-creation using the example of banking.}, language = {en} }