TY - CHAP A1 - Brosig, Christoph A1 - Westner, Markus A1 - Strahringer, Susanne ED - Borštnar, Mirjana Kljajić T1 - Linking IT assets and competitive advantage - IT capabilities of servitized business models T2 - 34th Bled eConference Digital Support from Crisis to Progressive Change: June 27 - 30, 2021, Online: Conference Proceedings N2 - This paper connects research from business model innovation and information systems by exploring critical IT capabilities for servitized business models. The adoption of servitized business models is a major business model innovation strategy. At the same time, digitalization drives the evolution of IT capabilities at these business models. Scholars argue that it remains unclear how IT capabilities enable servitized business models to build a competitive advantage by achieving cost advantages or differentiation. This paper explores IT capabilities that enable building a competitive advantage for servitized business models based on a qualitative analysis of multiple published case studies. The authors identify configurations of IT capabilities among servitized business models. The findings contribute to servitization research by exploring IT capabilities and how they are combined among servitized business models. The insights help practitioners deploy digital technologies and IT assets effectively as building blocks of IT capabilities to advance their servitized business model. KW - resource-based view KW - IT capability KW - digital servitization KW - competitive advantage KW - Geschäftsmodell KW - Innovation KW - Hybrides Leistungsbündel KW - Informationstechnik Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:898-opus4-20158 UR - https://press.um.si/index.php/ump/catalog/book/581 SN - 978-961-286-485-9 SP - 111 EP - 123 ER - TY - CHAP A1 - Brosig, Christoph A1 - Westner, Markus A1 - Strahringer, Susanne T1 - Revisiting the Concept of IT Capabilities in the Era of Digitalization T2 - 2020 IEEE 22nd Conference on Business Informatics (CBI 2020): Antwerp, Belgium, 22-24 June 2020, proceedings N2 - In the era of digitalization, companies review how to build competitive advantage drawing on their capabilities. In this context, the paper revisits the concept of IT capabilities. We summarize the “canonical” body of literature to characterize how leading scholars conceptualized and differentiated IT capabilities and then we show how new types of IT capabilities (for example, rising from SMACIT technologies) relate to this. We find that the resource-based view is still leading in how to conceptualize IT capabilities. However, an alternative perspective on IT assets is emerging, looking at it from the angle of digital technologies as stacks. Digital technologies form the foundation for a new technology-driven perspective on IT capabilities. This new view complements the established differentiation of IT capabilities considering IT infrastructure flexibility, IT management, and IT personnel capability. Both perspectives describe the explorative and exploitative nature of IT capabilities. This paper helps scholars and practitioners to clearly distinguish different perspectives of IT capabilities on how to build a competitive advantage from IT today. KW - Digital technologies KW - IT capabilities KW - Resource-based view KW - Informationstechnik KW - Digitalisierung KW - Fähigkeit KW - Kompetenz KW - Ressourcenorientierter Ansatz KW - Wettbewerbsvorteil Y1 - 2020 U6 - https://doi.org/10.1109/CBI49978.2020.00017 SP - 84 EP - 93 PB - IEEE ER - TY - CHAP A1 - Brosig, Christoph A1 - Bley, Katja A1 - Strahringer, Susanne A1 - Westner, Markus T1 - The Missing Piece – Calibration of Qualitative Data for Qualitative Comparative Analyses in IS Research T2 - Thirtieth European Conference on Information Systems, New Horizons in Digitally United Societies (ECIS 2022): 18. - 24.06.2022, Timisoara, Romania N2 - Over the last years, configurational research has become increasingly popular in the Information Systems (IS) discipline. Researchers value configurational methods like Qualitative Comparative Analysis (QCA) as their application contributes to a better understanding of complex phenomena. QCA helps to uncover interrelations of conditions that lead to an outcome, building on the principles of equifinality, conjunctural causation, and asymmetry. More recently, IS researchers have started to analyze qualitative data, like case study data, with QCA. However, there is a lack of methodological guidance on how to calibrate qualitative data into set membership values for QCA. Therefore, this paper structures methodological steps and the associated options to calibrate qualitative data from an interdisciplinary perspective and critically reviews the observed methodological choices in IS research. This paper also gives recommendations for calibrating qualitative data to support informed methodological choices for future research. KW - Qualitative Comparative Analysis KW - Qualitative Data KW - Methodology KW - Data Calibration Y1 - 2022 UR - https://aisel.aisnet.org/ecis2022_rp/37/ SP - 1 EP - 16 PB - Association for Information Systems ER -