@inproceedings{, author = {Kuhn, Peter and Maragno, Giulia and Balta, Dian and Gastaldi, Luca and Matthes, Florian}, title = {Government as a Platform in Practice: Commonalities and Differences Across Three European Countries}, booktitle = {Electronic Government, Lecture Notes in Computer Science (LNCS, volume 14130)}, year = {2023}, month = sep, abstract = {Government as a Platform (GaaP) promises better and more efficient public services. More and more countries are applying the approach to eGovern-ment development. However, there is scant empirical evidence on how to properly implement GaaP in practice. In particular, most of the literature focusses on the adoption in individual countries. We address this gap by investigating and systematically comparing three countries with successful GaaP implementations. By means of expert interviews and analysis of public documents we are able to extract four commonalities and three differences. We discuss our results as les-sons learnt. We further contribute to theory and practice by enhancing the knowledge on GaaP approaches, providing a first basis for guidelines toward GaaP.}, url = {https://doi.org/10.1007/978-3-031-41138-0_3}, } @inproceedings{, author = {Sellami, Mahdi and Bueno Momčilović, Tomas and Kuhn, Peter and Balta, Dian}, title = {Interaction Patterns for Regulatory Compliance in Federated Learning}, booktitle = {CIISR 2023: 3rd International Workshop on Current Information Security and Compliance Issues in Information Systems Research, co-located with the 18th International Conference on Wirtschaftsinformatik (WI 2023), September 18, 2023, Paderborn, Germany}, publisher = {CEUR Workshop Proceedings}, pages = {6-18}, year = {2023}, month = sep, abstract = {Organizations in highly regulated domains often struggle to build well-performing machine learning (ML) models due to restrictions from data protection regulation. Federated learning (FL) has recently been introduced as a potential remedy, whereby organizations share local models while keeping data on premise. Still, regulatory compliance remains challenging in FL settings: training data needs to be shared to some extent, and models can be reverse engineered or misused towards violation of data privacy by each participating organization. Guided by design science methodology, we introduce four interaction patterns that allow for compliance-by-design and trust-context-sensitive analysis of an FL system by combining different approaches to privacy preservation. We match the patterns to privacy principles and exemplify how verifiable claims about compliance at design- and operation-time FL can be generated to make all participating organizations accountable.}, keywords = {Federated Learning, Privacy, Compliance, Design Patterns}, url = {https://ceur-ws.org/Vol-3512/fullpaper1.pdf}, } @inproceedings{, author = {Kuhn, Peter and Balta, Dian}, title = {Sustainability in Food: AI-based interactions, based on data fusion for consumer protection by the government}, booktitle = {Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2023}, publisher = {EGOV-CeDEM-ePart-JP 2023}, year = {2023}, month = sep, abstract = {Sustainability-aware grocery shopping can be challenging for consumers since product information becomes more and more extensive. Especially the variety and trustworthiness of labels makes it difficult to find the most sustainable products, in particular with respect to the heterogenic and varying level of detail claimed by producers based on these labels. In order to decrease information overload and increase consumer protection, we develop a governmentdriven platform that fuses heterogeneous food data and provides chatbot-like AI services to communicate a sustainability score. We demonstrate the use and potential of the governmentgoverned platform with two prototypical interfaces. Furthermore, we present first insights from the cooperation with start-ups who integrate the data platform into their products.}, url = {https://ceur-ws.org/Vol-3449/paper31.pdf}, } @inproceedings{, author = {Kuhn, Peter and Zavolokina, Liudmila and Balta, Dian and Matthes, Florian}, title = {Toward Government as a Platform: An Analysis Method for Public Sector Infrastructure}, booktitle = {18th International Conference on Wirtschaftsinformatik}, year = {2023}, month = sep, address = {Paderborn, Germany}, abstract = {Government as a Platform (GaaP) is a promising approach to the dig-ital transformation of the public sector. In practice, GaaP is realized by platform-oriented infrastructures. However, despite successful examples, the transfor-mation toward platform-oriented infrastructures remains challenging. A potential remedy is the analysis of existing public infrastructure regarding its platform ori-entation. Such an analysis can identify the gaps to an ideal platform-oriented in-frastructure and, thus, support the transformation toward it. We follow the design science research methodology to develop a four-dimensional analysis method. We do so in three iterations, and, after each iteration, evaluate the method by its application to infrastructures in practice. With regard to theory, our results sug-gest extending GaaP conceptualizations with a specific emphasis on platform principles. With regard to practice, we contribute an analysis method that creates proposals for the improvement of infrastructures and, thus, supports the transfor-mation toward GaaP.}, url = {https://aisel.aisnet.org/wi2023/41/}, } @inproceedings{, author = {Kuhn, Peter and Balta, Dian and Matthes, Florian}, title = {Closing the GaaP: Lessons Learned from a Web-based Analysis Tool for Practitioners}, booktitle = {Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2022}, publisher = {CEUR Workshop Proceedings}, year = {2022}, month = sep, abstract = {Government as a Platform (GaaP) is an approach to government that enables user-friendly and efficient public services through the implementation of platform structures and principles such as modularization and co-creation. While some countries have been or are currently implementing the approach successfully, other countries experience barriers in the application of GaaP. Recent literature is attempting to address these barriers, for example by prac-tice-oriented conceptualizations of GaaP. However, those conceptualizations still need to be applied with expert knowledge. We develop a tool for practitioners that makes an exemplary GaaP concept applicable without expert knowledge. We present lessons learned from the development process and discuss implications for theory and practice.}, url = {https://ceur-ws.org/Vol-3399/paper9.pdf}, } @inproceedings{, author = {Kuhn, Peter and Dallner, Simon and Buchinger, Matthias and Balta, Dian}, title = {Towards “Government as a Platform”: An analysis framework for public sector infrastructure}, booktitle = {Wirtschaftsinformatik 2022 Proceedings}, year = {2022}, month = feb, abstract = {“Government as a Platform” (GaaP) is a promising approach to the digital transformation of the public sector. The approach sees Government as an open platform on which people inside and outside the government can innovate and co-create better public services. On a technical level, this is enabled by public sector infrastructure that also follows the approach. However, it remains unclear how exactly GaaP can be applied to public sector infrastructure in practice. In order to tackle this challenge, we develop a framework for the analysis of public infrastructure regarding its platform character. We apply the framework to a current public infrastructure project in Germany to demonstrate its applicability and infer possible future improvements. We contribute to literature by integrating GaaP literature with ideas and concepts from general IS platform literature and contribute to practice by providing a tool that supports the application of GaaP.}, url = {https://aisel.aisnet.org/wi2022/e_government/e_government/4}, } @misc{https://doi.org/10.48550/arxiv.2202.12443, author = {Baracaldo, Nathalie and Anwar, Ali and Purcell, Mark and Rawat, Ambrish and Sinn, Mathieu and Altakrouri, Bashar and Balta, Dian and Sellami, Mahdi and Kuhn, Peter and Buchinger, Matthias}, title = {Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach}, publisher = {arXiv}, year = {2022}, month = feb, owner = {arXiv.org perpetual, non-exclusive license}, abstract = {Federated Learning (FL) is a novel paradigm for the shared training of models based on decentralized and private data. With respect to ethical guidelines, FL is promising regarding privacy, but needs to excel vis-{\`{a}}-vis transparency and trustworthiness. In particular, FL has to address the accountability of the parties involved and their adherence to rules, law and principles. We introduce AF^2 Framework, where we instrument FL with accountability by fusing verifiable claims with tamper-evident facts, into reproducible arguments. We build on AI FactSheets for instilling transparency and trustworthiness into the AI lifecycle and expand it to incorporate dynamic and nested facts, as well as complex model compositions in FL. Based on our approach, an auditor can validate, reproduce and certify a FL process. This can be directly applied in practice to address the challenges of AI engineering and ethics.}, doi = {10.48550/ARXIV.2202.12443}, keywords = {Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences}, url = {https://arxiv.org/abs/2202.12443}, } @inproceedings{, author = {Kuhn, Peter and Buchinger, Matthias and Balta, Dian and Matthes, Florian}, title = {Barriers of applying Government as a Platform in Practice: Evidence from Germany}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022)}, series = {HICSS}, volume = {HICSS-55}, year = {2022}, month = jan, abstract = {Government as a Platform (GaaP) is a promising approach to the digital transformation of the public sector. GaaP aims at the development of efficient and user-friendly services by exploiting platform principles such as openness, modularization and co-creation. Hence, GaaP claims to deliver a new level of stakeholder participation in the production of public services. However, the success of GaaP is arguably bound to the context of a country. To address the potential impact of a country’s context, the goal of this paper is to identify barriers and measures to overcome them in the application of GaaP in the federal context of Germany. We conduct a literature review and investigate a use case of a German digital government agency by means of documents, expert interviews and workshops. The agency applies GaaP to its architecture management of the federal IT infrastructure. We find five barriers and three measures to overcome. We conclude by discussing implications for theory and practice.}, isbn = {978-0-9981331-5-7}, url = {http://hdl.handle.net/10125/79661}, } @inproceedings{, author = {Buchinger, Matthias and Kuhn, Peter and Balta, Dian}, title = {Dimensions of Accountability in Inter-organizational Business Processes}, booktitle = {Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022)}, series = {HICSS}, volume = {HICSS-55}, year = {2022}, month = jan, abstract = {Inter-organizational business processes are the basis of a globalized, highly dynamic, and digitalized world, en-abling faster and cost-effective transactions. At the same time, they raise business vulnerabilities. A partic-ular vulnerability is linked to the substantiation of trust between actors in dynamic business relationships, as trust affects interdependencies and complexity. An ap-proach to address this vulnerability is the introduction of accountability mechanisms. Extant research suggests that accountability enables revealing causality and a transparent allocation of responsibilities for each pro-cess step. Thereby, corresponding actors can judge upon misbehavior and verify trust claims. Unfortu-nately, a thorough understanding of accountability and its dimensions accountability in the context of IBP is still missing. To address this gap, we develop a framework with dimensions of accountability. We demonstrate the resulting framework in an industrial supply chain case and derive implications for theory and practice.}, isbn = {978-0-9981331-5-7}, url = {http://hdl.handle.net/10125/79382}, } @inproceedings{, author = {Balta, Dian and Sellami, Mahdi and Kuhn, Peter and Sch{\"{o}}pp, Ulrich and Buchinger, Matthias and Baracaldo, Nathalie and Anwar, Ali and Ludwig, Heiko and Sinn, Mathieu and Purcell, Mark and Altakrouri, Bashar}, title = {Accountable Federated Machine Learning in Government: Engineering and Management Insights}, booktitle = {Electronic Participation - 13th IFIP WG 8.5 International Conference, ePart 2021}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, pages = {125-138}, year = {2021}, month = sep, abstract = {Machine learning offers promising capabilities to improve administrative procedures. At the same time, adequate training of models using traditional learning techniques requires the collection and storage of enough training data in a central place. Unfortunately, due to legislative and jurisdictional constraints, data in a central place is scarce and training a model becomes unfeasible. Against this backdrop, federated machine learning, a technique to collaboratively train models without transferring data to a centralized location, has been recently proposed. With each government entity keeping their data private, new applications that previously were impossible now can be a reality. In this paper, we demonstrate that accountability for the federated machine learning process becomes paramount to fully overcoming legislative and jurisdictional constraints. In particular, it ensures that all government entities' data are adequately included in the model and that evidence on fairness and reproducibility is curated towards trustworthiness. We also present an analysis framework suitable for governmental scenarios and illustrate its exemplary application for online citizen participation scenarios. We discuss our findings in terms of engineering and management implications: feasibility evaluation, general architecture, involved actors as well as verifiable claims for trustworthy machine learning.}, isbn = {978-3-030-82824-0}, doi = {10.1007/978-3-030-82824-0_10}, url = {https://www.doi.org/10.1007/978-3-030-82824-0_10}, } @conference{, author = {Kuhn, Peter and Buchinger, Matthias and Balta, Dian}, title = {How to Redesign Government Processes for Proactive Public Services?}, booktitle = {Electronic Government}, series = {Lecture Notes in Computer Science}, pages = {29-40}, year = {2021}, month = sep, location = {Granada, Spain}, abstract = {Proactive government is a promising approach to user-friendly public services. By acting proactively instead of reacting, governments reduce the interaction effort of a public service for the user and, in doing so, increase its user-friendliness. However, implementing such proactive services in practice is challenging and requires the redesign of the according processes. For example, the data that currently is provided by the user, now has to be collected by someone else. The goal of this paper is to identify reoccurring challenges in the redesign of processes for proactive public services and to develop strategies to overcome them. We analyse business processes from nine public services and conduct ten expert interviews with practitioners. We synthesis the reoccurring challenges into three implementation dimensions and present three implementation strategies. The implementation dimensions inform the feasibility of proactive services in practice and the strategies can be used by practitioners to streamline their efforts to provide user-friendly public services.}, doi = {10.1007/978-3-030-84789-0_3}, url = {https://www.doi.org/10.1007/978-3-030-84789-0_3}, } @incollection{, author = {Buchinger, Matthias and Kuhn, Peter and Balta, Dian}, title = {Towards Interoperability of Data Platforms for Smart Cities}, booktitle = {Handbook of Smart Cities}, publisher = {Juan Carlos Augusto, Springer, 2021}, year = {2021}, month = jan, url = {https://link.springer.com/referenceworkentry/10.1007/978-3-030-15145-4_70-1}, } @inproceedings{, author = {Buchinger, Matthias and Kuhn, Peter and Kalogeropoulos, Anastasios and Balta, Dian}, title = {Towards Interoperability of Smart City Data Platforms}, booktitle = {Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021), 2021}, year = {2021}, month = jan, url = {https://scholarspace.manoa.hawaii.edu/handle/10125/70914}, } @conference{, author = {Kuhn, Peter and Balta, Dian}, title = {Service Quality Through Government Proactivity: The Concept of Non-interaction}, booktitle = {Electronic Government}, publisher = {Gabriela Viale Pereira, Marijn Janssen, Habin Lee, Ida Lindgren, Manuel Pedro Rodr{\'{i}}guez Bol{\'{i}}var, Hans Jochen Scholl, Anneke Zuiderwijk}, series = {Lecture Notes in Computer Science}, pages = {82-95}, year = {2020}, month = sep, abstract = {In the course of digitalization, governments increasingly aim at improving service quality for their users. To support this aim, government proactivity is considered a suitable approach: reduction of interactions or even non-interaction between users and government. While government proactivity can be crucial for improving the service quality perceived by its users, there is a lacking of understanding how exactly non-interaction interplays with service quality. Understanding this interplay is important, given that for some services non-interaction might also decrease service quality: for instance, non-interactive student loans spare the user the application but at the same time cause automatic debt. We introduce the purpose of an interaction as a lens to help understand this interplay. The lens utilizes the fact that the purpose of an interaction has to be fulfilled also in a proactive, non-interactive version of the service. We operationalize the lens by proposing two groups of interaction purposes and integrating them with service quality dimensions in an analysis framework. The framework can be used to analyze individual services towards their service quality in a proactive, non-interactive version of the service. Our work contributes to theory by developing a set of interaction purposes to study service interactions and the qualitative interplay of non-interaction and service quality on a service level. Based on an exemplary application of the service free school transport, we demonstrate how government service designers can adapt the framework into a tool for the evaluation and design of individual services.}, isbn = {978-3-030-57599-1}, doi = {10.1007/978-3-030-57599-1_7}, url = {https://link.springer.com/chapter/10.1007/978-3-030-57599-1_22}, } @inproceedings{, author = {Kuhn, Peter and Balta, Dian and Krcmar, Helmut}, title = {Was sind Herausforderungen proaktiver Verwaltungsleistungen in Deutschland?}, booktitle = {Wirtschaftsinformatik 2020 Proceedings}, publisher = {FORTHCOMING}, year = {2020}, month = mar, } @misc{, author = {Schaffer, Norman and Kuhn, Peter and Balta, Dian and Krcmar, Helmut}, title = {Digitale L{\"{o}}sungen f{\"{u}}r KMU: Was k{\"{o}}nnen und sollen kleine und mittlere Unternehmen (KMU) digital anbieten? Das Forschungsprojekt BayernCloud hat dazu den l{\"{a}}ndlichen Tourismus unter die Lupe genommen.}, publisher = {Bundesanstalt f{\"{u}}r Landwirtschaft und Ern{\"{a}}hrung}, journal = {LandInForm - Magazin f{\"{u}}r l{\"{a}}ndliche R{\"{a}}ume}, pages = {16-17}, year = {2020}, url = {https://www.netzwerk-laendlicher-raum.de/fileadmin/SITE_MASTER/content/PDFs/LiF/LandInForm_20_4.pdf}, } @inproceedings{, author = {Balta, Dian and Kuhn, Peter and Sellami, Mahdi and Kalogeropoulos, Anastasios and Krcmar, Helmut}, title = {Blackbox AI: What is in the Box?}, booktitle = {Proceedings of ongoing research, practitioners, posters, workshops, and projects of the international conference egov-cedem-epart}, publisher = {Shefali Virkar, Olivier Glassey, Marijn Janssen, Peter Parycek, Andrea Polini, Barbara Re, Peter Reichst{\"{a}}dter, Hans Jochen Scholl, Efthimios Tambouris}, volume = {2019}, pages = {245–247}, year = {2019}, month = sep, location = {San Benedetto Del Tronto, Italy}, abstract = {We present insights from a chatbot prototype for online citizen participation and discuss particular benefits and caveats of artificial intelligence (AI) application in the government domain. We present an argument that AI represents a blackbox not only in terms the reasoning process itself, but also in terms of applying different building blocks “out-of-the-box”. Our research shows that customizing an AI application involves a hardly manageable combination of buildings blocks: various machine learning techniques, data sources and user interaction designs. Since those building blocks might not fit the requirements of a particular use case, the required effort to configure the expected behaviour should not be underestimated.}, url = {https://biblio.ugent.be/publication/8626904/file/8626906.pdf}, } @inproceedings{, author = {Balta, Dian and Kuhn, Peter and Sellami, Mahdi and Kulus, Daniel and Lieven, Claudius and Krcmar, Helmut}, title = {How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany}, booktitle = {Electronic Government}, publisher = {Lindgren, Ida and Janssen, Marijn and Lee, Habin and Polini, Andrea and Rodr{\'{i}}guez Bol{\'{i}}var, Manuel Pedro and Scholl, Hans Jochen and Tambouris, Efthimios}, pages = {233--247}, year = {2019}, month = sep, owner = {Springer International Publishing}, address = {Cham}, abstract = {Artificial intelligence (AI) technologies are on the rise in almost every aspect of society, business and government. Especially in government, it is of interest how the application of AI can be streamlined: at least, in a controlled environment, in order to be able to evaluate potential (positive and negative) impact. Unfortunately, reuse in development of AI applications and their evaluation results lack interoperability and transferability. One potential remedy to this challenge would be to apply standardized artefacts: not only on a technical level, but also on an organization or semantic level. This paper presents findings from a qualitative explorative case study on online citizen participation in Germany that reveal insights on the current standardization level of AI applications. In order to provide an in-depth analysis, the research involves evaluation of two particular AI approaches to natural language processing. Our findings suggest that standardization artefacts for streamlining AI application exist predominantly on a technical level and are still limited.}, isbn = {978-3-030-27325-5}, doi = {10.1007/978-3-030-27325-5_18}, keywords = {Natural language processing, Standardization, Government}, url = {https://link.springer.com/chapter/10.1007%2F978-3-030-27325-5_18}, } @inproceedings{, author = {Balta, Dian and Kalogeropoulos, Anastasios and Kuhn, Peter and Krcmar, Helmut}, title = {In Search for Consensus}, booktitle = {Proceedings of ongoing research, practitioners, posters, workshops, and projects of the international conference egov-cedem-epart}, publisher = {Shefali Virkar, Olivier Glassey, Marijn Janssen, Peter Parycek, Andrea Polini, Barbara Re, Peter Reichst{\"{a}}dter, Hans Jochen Scholl, Efthimios Tambouris}, volume = {2019}, number = {5}, pages = {253–255}, year = {2019}, month = sep, location = {San Benedetto Del Tronto, Italy}, abstract = {We present our research-in-progress on designing Blockchain/ Distributed Ledger Technologies-based IT-architectures in government. Our approach consists of three steps: need analysis, feasibility study, and architecture design based on exchangeable building blocks. We argue that DLT should be defined as a trust layer atop of existing IT-infrastructure instead of replacing existing information systems. To support our claim, we provide an exemplary application.}, url = {https://biblio.ugent.be/publication/8626904/file/8626906.pdf}, } @inproceedings{, author = {Balta, Dian and Sellami, Mahdi and Kuhn, Peter and Krcmar, Helmut}, title = {Insights from Natural Language Processing}, booktitle = {Proceedings of ongoing research, practitioners, posters, workshops, and projects of the international conference egov-cedem-epart}, publisher = {Shefali Virkar, Olivier Glassey, Marijn Janssen, Peter Parycek, Andrea Polini, Barbara Re, Peter Reichst{\"{a}}dter, Hans Jochen Scholl, Efthimios Tambouris}, volume = {2019}, pages = {241–243}, year = {2019}, month = sep, location = {San Benedetto Del Tronto, Italy}, abstract = {We present an exemplary text categorization pipeline for online citizen participation and aim at discussing our ongoing research in terms of insights from natural language processing (NLP) application. For each of the steps in the categorization pipeline, we share our experience in terms of challenges and potential measures to address these challenges.}, url = {https://biblio.ugent.be/publication/8626904/file/8626906.pdf}, } @misc{, author = {Balta, Dian and Krcmar, Helmut and Kuhn, Peter}, title = {Bedarfsanalyse, Machbarkeitsevaluation und IT-Architekturentwurf von Distributed Ledger Technology in der {\"{o}}ffentlichen Verwaltung}, journal = {Fachtagungen Verwaltungsinformatik und Rechtsinformatik}, year = {2019}, month = mar, location = {M{\"{u}}nster}, howpublished = {Vortrag}, url = {http://www.ftvi.de/ftvi-ftri-2019/tagungsprogramm}, } @misc{1, author = {Balta, Dian and Krcmar, Helmut and Kuhn, Peter}, editor = {Kalogeropoulos, Anastasios}, title = {K{\"{u}}nstliche Intelligenz Out-of-the-Box – aber was steckt in der Box?}, booktitle = {Fachtagungen Verwaltungsinformatik und Rechtsinformatik}, year = {2019}, month = mar, location = {M{\"{u}}nster}, howpublished = {Vortrag}, url = {http://www.ftvi.de/ftvi-ftri-2019/tagungsprogramm}, } @article{, author = {Balta, Dian and Krcmar, Helmut and Kuhn, Peter and Kulus, Daniel and Sellami, Mahdi}, title = {Digitalgest{\"{u}}tzte B{\"{u}}rgerbeteiligung & KI}, journal = {PLANERIN}, volume = {2019}, number = {1}, pages = {19--22}, year = {2019}, month = feb, timestamp = 2019.10.24, abstract = {Digitalisierung und k{\"{u}}nstliche Intelligenz (KI) gelten als pr{\"{a}}gende Themen und wecken eine hohe Aufmerksamkeit in Gesellschaft, Wirtschaft, Politik und Verwaltung. Im Bereich B{\"{u}}rgerbeteiligung bergen Digitalisierung und in letzter Zeit auch KI eine Reihe von Chancen und Herausforderungen. F{\"{u}}r die Beteiligungspraxis stellen sich daher u. a. folgende Fragen: Welche Aufgaben kann KI in Beteiligungsverfahren {\"{u}}bernehmen? Wie gut sind solche Systeme heute schon und welche Qualit{\"{a}}ten haben die erzielten Ergebnisse? Welche Fortschritte sind zu erwarten? Der Artikel gibt erste Antworten basierend auf Untersuchungen und dem Einsatz von Prototypen im Rahmen von B{\"{u}}rgerbeteiligungsverfahren in Hamburg und schlie{\ss}t mit einem Ausblick in die Zukunft.}, issn = {0936-9465}, url = {https://www.srl.de/publikationen/planerin/%C3%A4ltere-ausgaben/product/view/2/150.html}, } @article{, author = {Balta, Dian and Hofmann, Sara and Kuhn, Peter and Krcmar, Helmut}, title = {Sharing {Economy}: {Potential} im {\"{o}}ffentlichen {Sektor}}, journal = {BERICHTE DES NEGZ}, number = {5}, year = {2019}, issn = {2626-6032}, doi = {10.30418/2626-6032.2019.05}, url = {http://doi.org/10.30418/2626-6032.2019.05}, }