TY - CHAP U1 - Konferenzveröffentlichung A1 - Küller, Philipp A1 - Hertweck, Dieter A1 - Krcmar, Helmut ED - Zimmermann, Alfred ED - Rossmann, Alexander T1 - Energiegenossenschaften - Geschäftsmodelle und Wertschöpfungsnetzwerke T2 - Digital Enterprise Computing (DEC 2015) : June 25-26, 2015, Böblingen, Germany N2 - Die Energiewende bietet reichlich Fragen für verschiedenste Wissenschaftsdisziplinen einschließlich der Informatik und Wirtschaftsinformatik (WI). Bedauerlicherweise wurde bisher der Bereich der regionalen Energiegenossenschaften und kleinerer Energieversorgungsunternehmen weitgehend von der WI-Forschung vernachlässigt. Der vorliegende Beitrag stellt die aktuelle Situation dieser Organisationen dar und konzentriert sich auf die bestehende Wissenslücke von Geschäftsmodellen (GM) für Energiegenossenschaften (EG) als Zusammenschluss aus Privatpersonen oder kleinen Unternehmen, welche primär regionale, erneuerbare Energie produzieren. Die Modell- und Theorieentwicklung basiert auf der klassischen Literaturrecherche, Fallstudien in der Energiewirtschaft (EW), sowie grafischer Modellierung. Als Ergebnis wird das Referenzgeschäftsmodell einer EG als morphologischer Business Model Canvas vorgestellt. Dieses singuläre GM wird um die Darstellung des Wertschöpfungsnetzwerks, welches die strukturelle Einbindung der Akteure in das digitale Ökosystem der EG berücksichtigt, erweitert. Das aus der Forschung resultierende Referenzmodell dient der kritischen Überprüfung empirisch vorfindbarer GM und zur weiteren Entwicklung von Unternehmensarchitekturen digitaler Unternehmensverbünde. KW - Geschäftsmodelle KW - Wertschöpfungsnetzwerke KW - Energiegenossenschaften KW - Business Model Canvas KW - e3value KW - Fallstudien Y1 - 2015 SP - 15 EP - 26 S1 - 12 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP U1 - Konferenzveröffentlichung A1 - Kinitzki, Martin A1 - Hertweck, Dieter ED - Rossmann, Alexander T1 - Comparison of business model development frameworks with regard to IoT T2 - Digital Enterprise Computing (DEC 2017) : July 11 - 12, 2017, Böblingen, Germany. - (Lecture notes in informatics (LNI) - proceedings ; volume P-272) N2 - With the Internet of Things being one of the most discussed trends in the computer world lately, many organizations find themselves struggling with the great paradigm shift and thus the implementation of IoT on a strategic level. The Ignite methodoogy as a part of the Enterprise-IoT project promises to support organizations with these strategic issues as it combines best practices with expert knowledge from diverse industries helping to create a better understanding of how to transform into an IoT driven business. A framework that is introduced within the context of IoT business model development is the Bosch IoT Business Model Builder. In this study the provided framework is compared to the Osterwalder Business Model Canvas and the St. Gallen Business Model Navigator, the most commonly used and referenced frameworks according to a quantitative literature analysis. KW - internet of things KW - IoT KW - business model KW - value proposition Y1 - 2017 SP - 25 EP - 36 S1 - 12 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP U1 - Konferenzveröffentlichung A1 - Bischoff, Daniel A1 - Kinitzki, Martin A1 - Wilke, Tim A1 - Zekiraj, Flamur A1 - Zivkovic, Sanja A1 - Koppenhöfer, Christine A1 - Fauser, Jan A1 - Hertweck, Dieter ED - Rossmann, Alexander T1 - Smart meter based business models for the electricity sector : a systematical literature research T2 - Digital Enterprise Computing (DEC 2017) : July 11 - 12, 2017, Böblingen, Germany. - (Lecture notes in informatics (LNI) - proceedings ; volume P-272) N2 - The Act on the Digitization of the Energy Transition forces German industries and households to introduce smart meters in order to save engery, to gain individual based electricity tariffs and to digitize the energy data flow. Smart meter can be regarded as the advancement of the traditional meter. Utilizing this new technology enables a wide range of innovative business models that provide additional value for the electricity suppliers as well as for their customers. In this study, we followed a two-step approach. At first, we provide a state-of-the-art comparison of these business models found in the literature and identify structural differences in the way they add value to the offered products and services. Secondly, the business models are grouped into categories with respect to customer segmetns and the added value to the smart grid. Findings indicate that most business models focus on the end-costumer as their main customer. KW - smart meter KW - business model KW - electricity sector KW - business model canvas KW - literature review Y1 - 2017 SP - 79 EP - 90 S1 - 12 PB - Gesellschaft für Informatik CY - Bonn ER - TY - CHAP U1 - Konferenzveröffentlichung A1 - Koppenhöfer, Christine A1 - Fauser, Jan A1 - Hertweck, Dieter ED - Rossmann, Alexander T1 - Digitization of decentralized corporate energy systems : supportive best-practiced methods for the energy domain T2 - Digital Enterprise Computing (DEC 2017) : July 11 - 12, 2017, Böblingen, Germany. - (Lecture notes in informatics (LNI) - proceedings ; volume P-272) N2 - Digitization in the energy sector is a necessity to enable energy savings and energy efficiency potentials. Managing decentralized corporate energy systems is hindered by a non-existence. The required integration of energy objectives into business strategy creates difficulties resulting in inefficient decisions. To improve this, practice-proven methods such as Balanced Scorecard, Enterprise Architecture Management and the Value Network approach are transferred to the energy domain. The methods are evaluated based on a case study. Managing multi-dimensionality, high complexity and multiple actors are the main drivers for an effective and efficient energy management system. The underlying basis to gain the positive impacts of these methods on decentralized corporate energy systems is digitization of energy data and processes. KW - decentralized corporate energy system KW - balanced scorecard KW - enterprise architecture management KW - value network Y1 - 2017 SP - 91 EP - 105 S1 - 15 PB - Gesellschaft für Informatik CY - Bonn ER -