Publikationen
Veröffentlichungen der Mitglieder
Aldrighetti, R., Calzavara, M., Martignago, M., Zennaro, I., Battini, D., & Ivanov, D. (2024). A methodological framework for the design of efficient resilience in supply networks. International Journal of Production Research, 62(1–2), 271–290. doi.org/10.1080/00207543.2023.2285424
Ardolino, M., Bacchetti, A., Dolgui, A., Franchini, G., Ivanov, D., & Nair, A. (2024). The impacts of digital technologies on coping with the COVID-19 pandemic in the manufacturing industry: a systematic literature review. International Journal of Production Research, 62(5), 1953–1976. doi.org/10.1080/00207543.2022.2127960
Baumann, Sabine (Hrsg.) (2024) Handbook on Digital Platforms and Business Ecosystems in Manufacturing, Edward Elgar Publishing, Cheltenham (UK).
Dolgui, A., Gusikhin, O., Ivanov, D., Li, X., & Stecke, K. (2024). A network-of-networks adaptation for cross-industry manufacturing repurposing. IISE Transactions, 56(6), 666–682. doi.org/10.1080/24725854.2023.2253881
Echefaj, K., Charkaoui, A., Cherrafi, A. et al. Design of resilient and viable sourcing strategies in intertwined circular supply networks. Ann Oper Res (2024). doi.org/10.1007/s10479-024-05873-1
Gruchmann, T., Stadtfeld, G. M., Thürer, M., & Ivanov, D. (2024). Supply chain resilience as a system quality: Survey-based evidence from multiple industries. International Journal of Physical Distribution & Logistics Management, 54(1), 92-117. https://doi.org/10.1108/IJPDLM-06-2023-0203
Hartenstein, S., & Schmietendorf, A. (2024). KI-gestützte Modernisierung von Altanwendungen: Anwendungsfelder von LLMs im Software Reengineering. In Proc. 26. Workshop Software-Reengineering und -Evolution WSRE 2024 der GI-Fachgruppe Software-Reengineering (SRE) (pp. 25-26). Physikzentrum Bad Honnef.
Ivanov, D. (2024). Supply chain resilience: Conceptual and formal models drawing from immune system analogy. Omega, 127. doi.org/10.1016/j.omega.2024.103081 "Persistent link using digital object identifier"
Ivanov, D., Chen, W., Coit, D. W., & Altay, N. (2024). Modeling and Optimization of Supply Chain Resilience to Pandemics and Long-Term Crises. IISE Transactions, 56(7), 683–684. doi.org/10.1080/24725854.2024.2317845
Ivanov, D. (2024). Cash flow dynamics in the supply chain during and after disruptions. Transportation Research Part E, 185. doi.org/10.1016/j.tre.2024.103526
Ivanov, D. (2024). Transformation of supply chain resilience research through the COVID-19 pandemic. International Journal of Production Research, 1–22. doi.org/10.1080/00207543.2024.2334420
Ivanov, D. (2024). Conceptualisation of a 7-element digital twin framework in supply chain and operations management. International Journal of Production Research, 62(6), 2220–2232. doi.org/10.1080/00207543.2023.2217291
Jackson, I., Ivanov, D., Dolgui, A., & Namdar, J. (2024). Generative artificial intelligence in supply chain and operations management: a capability-based framework for analysis and implementation. International Journal of Production Research, 1–26. doi.org/10.1080/00207543.2024.2309309
Jackson, I., Jesus Saenz, M., & Ivanov, D. (2024). From natural language to simulations: applying AI to automate simulation modelling of logistics systems. International Journal of Production Research, 62(4), 1434–1457. doi.org/10.1080/00207543.2023.2276811
Kalkbrener, M., & Packham, N. (2024). A Markov approach to credit rating migration conditional on economic states.
Li, X., Krivtsov, V., Pan, C., Nassehi, A., Gao, R. X., & Ivanov, D. (2024). End-to-End Supply Chain Resilience Management using Deep Learning, Survival Analysis, and Explainable Artificial Intelligence. International Journal of Production Research.
Liu, Francis and Packham, Natalie and Sepp, Artur, Jump risk premia in the presence of clustered jumps (February 22, 2024). Available at SSRN: dx.doi.org/10.2139/ssrn.4735365
Salmai.Qari, T. B. (2024). 10872 2023 - The value of national defense: Assessing public preferences. CESifo Network. CID: 20.500.12592/2rbp4kg.
Schleifenheimer, M., Ivanov, D. Pharmaceutical retail supply chain responses to the COVID-19 pandemic. Ann Oper Res (2024). doi.org/10.1007/s10479-024-05866-0
Schmietendorf, A. (2024). Workshop report – KI-Szenarien im Zeitalter von ChatGPT & Co – inspiriert durch die Themen des IFAF-Forschungsprojekts TAHAI. Software Measurement News – Journal of the Software Metrics Community, 29(1), 13-17. ISSN 1867-9196.
Schmietendorf, A., & Knuth, M. (2024). Book project report: Veränderungen im Software Engineering durch den Einsatz von „low code“ orientierten Softwareentwicklungsansätzen. Software Measurement News – Journal of the Software Metrics Community, 29(1), 21-25. ISSN 1867-9196.
Sindhwani, R., Jayaram, J. & Ivanov, D. Meeting economic and social viability goals in regional airline schemes through hub-and-spoke network connectivity. Ann Oper Res (2024). doi.org/10.1007/s10479-024-05858-0
Zhang, B., Fang, W., Liang, L., & Ivanov, D. (2024). Special issue on “Managing supply chain resilience in the digital economy era.” International Transactions in Operational Research, 31(4), 2801–2802. doi.org/10.1111/itor.13445
Aron, C., Sgarbossa, F., Ballot, E., & Ivanov, D. (2023). Cloud material handling systems: a cyber-physical system to enable dynamic resource allocation and digital interoperability. Journal of Intelligent Manufacturing, 1–22. doi.org/10.1007/s10845-023-02262-6
Aldrighetti, R., Battini, D., & Ivanov, D. (2023). Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments. Omega, 117. doi.org/10.1016/j.omega.2023.102841
Babai, M. Z., Ivanov, D., & Kwon, O. K. (2023). Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique. Omega, 116. doi.org/10.1016/j.omega.2022.102817
Baudeu, Raphael & Wright, Marvin & Loecher, Markus. (2023). Are SHAP Values Biased Towards High-Entropy Features? doi.org/10.1007/978-3-031-23618-1_28.
Becklas, C., & Baumann, S. (2023). Game Over for Climate Change? Communicating and Visualising Global Warming in Digital Games. English Literature, 10, 63–81. doi.org/10.30687/EL/2420-823X/2023/10/003
Bernard, A., Dolgui, A., Benderbal, H. H., Ivanov, D., Lemoine, D., et al. (2022). 10th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2022, Nantes, France, 22-24 June 2022. IFAC-PapersOnLine, 55(10), 1-3322. hal.archives-ouvertes.fr/hal-03982368
Brusset, X., Ivanov, D., Jebali, A., La Torre, D., & Repetto, M. (2023). A Dynamic Approach to Supply Chain Reconfiguration and Ripple Effect Analysis in an Epidemic. International Journal of Production Economics, 263, 1–13. doi.org/10.1016/j.ijpe.2023.108935
Castino, F., Yin, F., Grewe, V., Yamashita, H., Matthes, S., Dietmüller, S., Baumann, S., Soler, M., Simorgh, A., Mendiguchia Meuser, M., Linke, F., & Lührs, B. (2023). Decision-making strategies implemented in SolFinder 1.0 to identify eco-efficient aircraft trajectories: application study in AirTraf 3.0.
Chervenkova, T., & Ivanov, D. (2023). Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic. Transportation Research Part E, 177. doi.org/10.1016/j.tre.2023.103249
Dolgui, A., & Ivanov, D. (2023). Metaverse supply chain and operations management. International Journal of Production Research, 61(23), 8179–8191.
Dolgui, A., & Ivanov, D. (2023). Supply Chain Viability, Intertwined Supply Networks, and Digital Supply Chain: INFORMS Webinar, May 4, 2023. hal.archives-ouvertes.fr/hal-04418322
Ebert, L., Huettemann, S., Mueller, R. M. (2023). “Hey Article, What Are You About? Question Answering for Information Systems Articles through Transformer Models for Long Sequences”, Proceedings of the 56thHawaii International Conference on System Sciences (HICSS)
Glodd, A., Hristova, D. (2023). Extraction of Forward-looking Financial Information for Stock Price Prediction from Annual Reports Using NLP Techniques, 56th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 3-6 January, 2023. doi.org/10125/103313.
Hartenstein, S.; Schmietendorf, A.: KI basierte Veränderungen der Aufgaben innerhalb des Software Engineerings – Eine Bestandsaufnahme im Zusammenhang mit dem Hype um ChatGPT, in 47. WI-MAW-Rundbrief, S. 3-14, Jahrgang 29 – Heft 1, Mai 2023, ISSN 1610-5753
Hartenstein, S.; Johnson, S. L.; Schmietendorf, A.: Towards a Fast Cost Estimation Supported by Large Language Models, in Software Measurement News – Journal of the Software Metrics Community, S. xx, Volume 28, Number 2, Oktober 2023, ISSN 1867-9196
Homayouni, Z., Pishvaee, M.S., Jahani, H. et al. A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty. Ann Oper Res 324, 395–435 (2023). doi.org/10.1007/s10479-021-03985-6
Huettemann, S., Mueller, R. M., Larsen, K.R., Dinter, B. (2023). How Best to Hunt a Mammoth - Toward Automated Knowledge Extraction From Graphical Research Models. Proceedings of the Wirtschaftsinformatik 2023 Conference (WI).
Ivanov, D. (2024). Two views of supply chain resilience. International Journal of Production Research, 62(11), 4031–4045. doi.org/10.1080/00207543.2023.2253328
Ivanov, D. (2023). Design and deployment of sustainable recovery strategies in the supply chain. Computers & Industrial Engineering, 183. doi.org/10.1016/j.cie.2023.109444
Ivanov, D. (2023). Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability. International Journal of Production Economics, 263. doi.org/10.1016/j.ijpe.2023.108938
Ivanov, D. (2023). Viabilität der Lieferkette. In: Einführung in die Widerstandsfähigkeit der Lieferkette. Springer Gabler, Cham. doi.org/10.1007/978-3-031-25186-3_5
Ivanov, D. (2023). Risiken, Störungen und der Ripple-Effekt in Lieferketten. In: Einführung in die Widerstandsfähigkeit der Lieferkette. Springer Gabler, Cham. doi.org/10.1007/978-3-031-25186-3_1
Ivanov, D. (2023). Bewertung der Resilienz in Lieferketten. In: Einführung in die Widerstandsfähigkeit der Lieferkette. Springer Gabler, Cham. doi.org/10.1007/978-3-031-25186-3_4
Ivanov, D. (2023). Management der Resilienz in Lieferketten. In: Einführung in die Widerstandsfähigkeit der Lieferkette. Springer Gabler, Cham. doi.org/10.1007/978-3-031-25186-3_2
Ivanov, D., Dolgui, A., Blackhurst, J. V., & Choi, T.-M. (2023). Toward supply chain viability theory: from lessons learned through COVID-19 pandemic to viable ecosystems. International Journal of Production Research, 61(8), 2402–2415.
Ivanov, D., Dolgui, A., Blackhurst, J., Choi, TM. (2023). Viability of Supply Networks and Ecosystems: Lessons Learned From COVID-19 Outbreak. International Journal of Production Research, 61(8).
Ivanov, D., & Keskin, B. B. (2023). Post-pandemic adaptation and development of supply chain viability theory. Omega, 116. doi.org/10.1016/j.omega.2022.102806
Ivanov, D. Collaborative emergency adaptation for ripple effect mitigation in intertwined supply networks. Ann Oper Res (2023). doi.org/10.1007/s10479-023-05408-0
Ivanov, D. (2023). The Industry 5.0 framework: viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683–1695. doi.org/10.1080/00207543.2022.2118892
Ivanov, D. (2023). Einführung in die Widerstandsfähigkeit der Lieferkette : Management, Modellierung, Technologie / Ivanov, Dmitry (1st ed. 2023). Springer International Publishing.
Jackson, I., & Ivanov, D. (2023). A beautiful shock? Exploring the impact of pandemic shocks on the accuracy of AI forecasting in the beauty care industry. Transportation Research Part E, 180. doi.org/10.1016/j.tre.2023.103360
Jahani, H., Jain, R. & Ivanov, D. Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research. Ann Oper Res (2023). doi.org/10.1007/s10479-023-05390-7
Jantos, A. & Huettemann, S. (2023). Fairness in Blended Assessment in Higher Education – A Quantitative Analysis of Students’ Perception. Gemeinschaften in Neuen Medien.
Jörg U. Ganzhorn, Yedidya R. Ratovonamana, Melina Rother, Peggy Giertz, Curswan A. Andrews, Sabine Baumann, Yvonne E.-M. B. Bohr, Peter M. Kappeler, B. Karina Montero, Andreas Pommerening-Röser, Ute Radespiel, S. Jacques Rakotondranary, Oliver Schülke, Kim J. E. Steffens, Sandra Thorén, Gabriele Timmermann, & Irene Tomaschewski. (2023). Nutritional and Possible Pharmaceutical Aspects of Tree Exudates Eaten by Lemurs of Madagascar’s Dry Forests. Separations, 10(11), 575. doi.org/10.3390/separations10110575
Li, S., He, Y., Huang, H., Lin, J., & Ivanov, D. (2024). Supply chain hoarding and contingent sourcing strategies in anticipation of price hikes and product shortages. IISE Transactions, 56(7), 746–761. doi.org/10.1080/24725854.2023.2184515
Liu, Francis & Packham, Natalie & Lu, Meng-Jou & Härdle, Wolfgang Karl. (2023). Hedging cryptos with Bitcoin futures. Quantitative Finance. 23. 1-23. doi.org/10.1080/14697688.2023.2187316.
Lukinskiy, V., Lukinskiy, V., Ivanov, D., Sokolov, B., & Bazhina, D. (2023). A probabilistic approach to information management of order fulfilment reliability with the help of perfect-order analytics. International Journal of Information Management, 68. doi.org/10.1016/j.ijinfomgt.2022.102567
Matic, J.L., Packham, N. & Härdle, W.K. Hedging cryptocurrency options. Rev Deriv Res 26, 91–133 (2023). doi.org/10.1007/s11147-023-09194-6
Meier, O., Gruchmann, T., & Ivanov, D. (2023). Circular supply chain management with blockchain technology: A dynamic capabilities view. Transportation Research Part E, 176. doi.org//10.1016/j.tre.2023.103177
Milchevskaya, V., Bugnon, P., ten Buren, E. B. J., Vanhecke, D., Brand, F., Tresch, A., & Buch, T. (2023). Group size planning for breedings of gene-modified mice and other organisms following Mendelian inheritance. Lab Animal, 52(8), 183–188. doi.org/10.1038/s41684-023-01213-1https://doi.org/10.1038/s41684-023-01213-1
Misi Lopes, L.E., Packham, N. & Walther, U. The effect of governance quality on future economic growth: an analysis and comparison of emerging market and developed economies. SN Bus Econ 3, 108 (2023). doi.org/10.1007/s43546-023-00488-3
Nguyen, P., Ivanov, D., Sgarbossa, F. (2023). A Digital Twin–Based Approach to Reinforce Supply Chain Resilience: Simulation of Semiconductor Shortages. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. doi.org/10.1007/978-3-031-43688-8_39
Olaf Resch, H. für W. und R. B. (2023). Digital Trust Management. Industrie 4.0 Management, 3, 20–23.
Packham, N., Woebbeking, F. (2023). Correlation scenarios and correlation stress testing, Journal of Economic Behavior & Organization, Volume 205, 2023, Pages 55-67, ISSN 0167-2681. doi.org/10.1016/j.jebo.2022.11.002.
Pournader, M., Narayanan, A., Keblis, M. F., & Ivanov, D. (2023). Decision Bias and Bullwhip Effect in Multiechelon Supply Chains: Risk Preference Models. IEEE Transactions on Engineering Management. doi.org/10.1109/TEM.2023.3292348
Pohlink, C., Fischer, S. (2023). Responsible and Robust AI in Companies. In: Knappertsbusch, I., Gondlach, K. (eds) Work and AI 2030. Springer, Wiesbaden. doi.org/10.1007/978-3-658-40232-7_16.
Prathapage, H., Ivanov, D., Sgarbossa, F. (2023). Product Recovery Options in Closed Loop Supply Chain Networks: A Literature Review. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 692. Springer, Cham. doi.org/10.1007/978-3-031-43688-8_42
Rolf, B., Jackson, I., Müller, M., Lang, S., Reggelin, T., & Ivanov, D. (2023). A review on reinforcement learning algorithms and applications in supply chain management. International Journal of Production Research, 61(20), 7151–7179.
Ruel, S., El Baz, J., Ivanov, D., & Azadegan, A. (2023). Can organizational legitimacy stimulate digitalization and affect operational performance? The impact of COVID-19 on uncertainty in supply management. Journal of Purchasing and Supply Management, 29(5). doi.org/10.1016/j.pursup.2023.100880
Sascha Hägele, Eric H. Grosse, & Dmitry Ivanov. (2023). Supply chain resilience: a tertiary study. International Journal of Integrated Supply Management, 16, 1. doi.org/10.1504/IJISM.2023.127660
Schmietendorf, A.: Möglichkeiten und Grenzen KI-basierter Chatbots im Diskurs des Pair Programmings, in Software Measurement News – Journal of the Software Metrics Community, S. 26-42, Volume 28, Number 1, April 2023, ISSN 1867-9196
Schmietendorf, A.; Heidrich, J.: Vertrauenswürdigkeit von KI-Lösungen (Implikationen im Data Science und Software-Engineering), detaillierter Bericht zum ESAPI-Workshop 2022, in 47. WI-MAW-Rundbrief, S. 79-83, Jahrgang 29 – Heft 1, Mai 2023, ISSN 1610-5753
Schmietendorf, A.; Hartenstein, S.; Johnson, S. L.: KI-gestützte Modernisierung von Altanwendungen: (Sentiment-) Analysen im Diskurs des Anforderungsmanagements, in Proc. 25. Workshops Software-Reengineering & Evolution (WSRE 2023), Softwaretechnik-Trends, Band 43, Heft 2, S. 28-29, Bad-Honnef, 08.-10. März 2023, ISSN 0720-8928
Schmietendorf, A.: Possibilities and risks when using AI algorithms obtained via web APIs, Survey of Tools for Software Engineering, Release Q2 / 2023, S. 28-29, United Innovations
Schwarz, D., List, M., Mueller, R. M. (2023). “A Framework for the Systematic Evaluation of Data and Analytics Use Cases at an Early Stage”, Proceedings of the 56thHawaii International Conference on System Sciences (HICSS)
Simorgh, A., Soler, M., González-Arribas, D., Linke, F., Lührs, B., Meuser, M. M., Dietmüller, S., Matthes, S., Yamashita, H., Yin, F., Castino, F., Grewe, V., & Baumann, S. (2023). Robust 4D climate-optimal flight planning in structured airspace using parallelized simulation on GPUs: ROOST V1.0. Geoscientific Model Development, 16(13), 3723.
Thoring, K., Huettemann, S., Mueller, R. M. (2023). “The Augmented Designer: A Research Agenda for Generative AI-enabled Design”,
Proceedings of the 24th International Conference on Engineering Design (ICED23)
Thoring, K., & Mueller, R. M. (2023). The agile landscape of design thinking. In Research Handbook on Design Thinking (pp. 80-101). Edward Elgar Publishing.
Thoring, K., Mueller, R. M., Klöckner H. (2023). “Mind the Future Gap: Introducing the FOD Framework for Future-Oriented Design”, Proceedings of the 56thHawaii International Conference on System Sciences (HICSS)
Thoring, K., Mueller, R. M., Lecuna, A., Badke-Schaub, P. (2023). “A Framework of Method Corroboration”, Proceedings of the 56thHawaii International Conference on System Sciences (HICSS)
Warmbier, P., Kinra, A., & Ivanov, D. (2023). Supply Chain Sustainability and Resilience Under Uncertainty: Paradoxes and Responses. Academy of Management Annual Meeting Proceedings, 2023(1), 3745. doi.org/10.5465/AMPROC.2023.19461
Yousefi Sarmad, M., Pishvaee, M. S., Jahani, H., Khaksar, S. M. S., & Ivanov, D. (2023). Integrated planning for a global pharmaceutical supply chain: an ambidexterity perspective. Annals of Operations Research, 1–50. doi.org/10.1007/s10479-023-05554-5
Baumann, Sabine & Leerhoff, Marcel. (2022). Digital Business Ecosystems for Digital Spare Parts, Proceedings of the 2022 Annual Meeting of the Decision Sciences Institute, Chicago (USA), S. 301-314.
Baumann, Sabine & Leerhoff, Marcel. (2022). Digital platform ecosystems in additive manufacturing, Proceedings of the 29th EurOMA Conference 'Brilliance in resilience: operations and supply chain management’s role in achieving a sustainable future', Berlin.
Baumann, Sabine & Leerhoff, Marcel. (2022). Networks, platforms, and digital business ecosystems: mapping the development of a field. In: Baumann, Sabine (Hrsg.) (2022). Digital Business Ecosystems: Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges, Edward Elgar Publishing,Cheltenham (UK). S.11-24.
Baumann, Sabine (2022). Geopolitical overview of social media platforms – From Beijing to Berlin. In: Hanlon, Annmarie & Tuten, Tracy L. (Hrsg.) The SAGE Handbook of Social Media Marketing. SAGE Publications Ltd., S. 183-204.
Baumann, Sabine (2022). Introduction to the Handbook on Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges. In: Baumann, Sabine (Hrsg.) (2022) Digital Business Ecosystems: Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges, Edward Elgar Publishing, Cheltenham (UK). S 1-9.
Baumann, Sabine (Hrsg.) (2022). Digital Business Ecosystems: Handbook on Digital Business Ecosystems: Strategies, Platforms, Technologies, Governance and Societal Challenges, Edward Elgar Publishing, Cheltenham (UK).
Baumgärtner, R. M., Lemke, C., Monett, D. (2022). Digitale Ethik und deren Implikationen für KI-Anwendungen im Tourismus. In M. A. Gardini, G. Sommer (eds.), Digital Leadership im Tourismus: Digitalisierung, Künstliche Intelligenz und Robotik als Wettbewerbsfaktor der Zukunft. Springer, DeGruyter, UTB (in press). doi.org/10.1007/978-3-658-37545-4_7.
Bieleke, M., Schmietendorf, A. (2022). Bewertung und Optimierung der Performance von Single Page Applications – Buchhinweis, in 46. WI-MAW-Rundbrief, S. 49-50, Jahrgang 28 – Heft 1, Mai 2022, ISSN 1610-5753.
Birkenkrahe, M. (2022). Teaching Data Science in a Synchronous Online Introductory Course at a Business School A Case Study. In: Guralnick, D., Auer, M.E., Poce, A. (eds) Innovations in Learning and Technology for the Workplace and Higher Education. TLIC 2021. Lecture Notes in Networks and Systems, vol 349. Springer, Cham. doi.org/10.1007/978-3-030-90677-1_3.
Choi, TM., Dolgui, A., Ivanov, D., Pesch, E. (2022). OR and analytics for digital, resilient, and sustainable manufacturing 4.0. Annals of Operations Research, 310(1). doi.org/10.1007/s10479-022-04536-3.
Fragapane, Giuseppe & Ivanov, Dmitry & Peron, Mirco & Sgarbossa, Fabio & Strandhagen, Jan Ola. (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Annals of Operations Research. 308. 10.1007/s10479-020-03526-7. doi.org/10.1007/s10479-020-03526-7.
Hsieh, H.-T., Hristova, D. (2022). Transformer-based Summarization and Sentiment Analysis of SEC 10-K Annual Reports for Company Performance Prediction. In: HICSS (Hrsg.). 55th Hawaii International Conference on System Sciences (HICSS), Hawaii, 4-7 Januar, 2022. Honolulu, Hawaii: University of Hawaii at Manoa Library. (=Machine Learning and Predictive Analytics in Accounting, Finance, and Management). S. 1 – 10. doi.org/10.24251/HICSS.2022.218.
Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris. (2022). Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”. Transportation Research Part E: Logistics and Transportation Review. 160. doi.org/10.1016/j.tre.2022.102676.
Ivanov, Dmitry & Dolgui, Alexandre. (2022). The shortage economy and its implications for supply chain and operations management. International Journal of Production Research. 60. 1-14. doi.org/10.1080/00207543.2022.2118889.
Ivanov, Dmitry & Keskin, Burcu. (2022). Post-pandemic Adaptation and Development of Supply Chain Viability Theory. Omega. 116. doi.org/10.1016/j.omega.2022.102806.
Khan, Arabela & Birkenkrahe, Marcus. (2022). Development of a usability testing procedure for process mining tools. International Journal of Data Science. 7. 142. doi.org/10.1504/IJDS.2022.126852.
Lemke, C., Monett, D. (2022). AI-ware als sozio-technische Systeme: Entwurf eines Gestaltungsrahmens für den Einsatz von KI in Unternehmen. In S. Eggert et al. (eds.), Angewandte Forschung in der Wirtschaftsinformatik 2022, Tagungsband zur 35. Jahrestagung des Arbeitskreises Wirtschaftsinformatik an Hochschulen für Angewandte Wissenschaften im deutschsprachigen Raum (AKWI), pp. 168-184, GITO mbH Verlag, Berlin, 2022. doi.org/10.30844/AKWI_2022_11.
Lemke, C., Monett, D. und Kurzawa, Th. (2022). Blended Learning als zukunftsweisendes Lehr- und Lernkonzept in berufsintegrierenden Studienformaten – Eine konzeptionelle Betrachtung. Fachjournal Duales Studium, Ausgabe 1, pp. 17-25, DUZ Verlags- und Medienhaus, Berlin.
Letzel, H. W., Schmietendorf, A., Will, D. (2022). Mediation: zugleich Akteur und Forschungsgegenstand – aus der Arbeit der BAFM-Fachgruppe „Forschung und Wissenschaft“, Beitrag für das Journal Perspektive Mediation – Beiträge zur Konfliktkultur, November 2022, S. 272-277, Verlag Österreich, Deutschland, Österreich, Schweiz, ISSN 1814-3695.
Loecher, Markus. (2022). Debiasing MDI Feature Importance and SHAP Values in Tree Ensembles. doi.org/10.1007/978-3-031-14463-9_8.
Monett, D., Lemke, C., Cunneen, M., Coulter, D., Bloomfield, M., and Faustmann, G. (2022). PRAXIS Digital: A conceptual framework for inclusive and innovative practices in the digital era. In L. Gómez Chova, A. López Martínez, and I. Candel Torres (eds.), Proceedings of the 16th annual International Technology, Education and Development Conference, INTED 2022 (an online conference), pp. 7485-7493, IATED Academy, March 7th-8th, 2022, Valencia, Spain. doi.org/10.21125/inted.2022.1889).
Monett, D., Lemke, D., Anandarajah, L., and Brandherm, T. (2022). Narratives that speak AI lingua? AI vocabulary in listed companies' annual reports. In Proceedings of the 4th European Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2022, Vol. 4, No. 1, pp. 54-63, December 1st-2nd, 2022, Academic Conferences International Ltd., UK. doi.org/10.34190/eciair.4.1.929).
Osipenko, Maria. (2022). Inferring learners’ affinities from course interaction data. Education and Information Technologies. 27. 1-20. doi.org/10.1007/s10639-021-10833-4.
Resch, O., Yankova, A. (2022). A CONCEPT OF A DIGITAL ASSISTANT TO SUPPORT PRACTICAL PHASES IN (COOPERATIVE) STUDIES: HOW DIGITALIZATION AND PERSONALIZATION STRENGTHEN THE LINK BETWEEN THEORY AND PRACTICE. In: EDULEARN22 Proceedings. S.9165-9173. doi.org/10.21125/edulearn.2022.2200.
Robra-Bissantz, S., Lattemann, C., Baumann, S. et al. (2022). Methods for Designing Digital Platforms, Business Models and Service Ecosystems (Methoden zum Design digitaler Plattformen, Geschäftsmodelle und Service-Ökosysteme), HMD 59, 1227–1257. doi.org/10.1365/s40702-022-00906-4.
Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand. (2022). Adapting supply chain operations in anticipation of and during the COVID-19 Pandemic. Omega. 110. doi.org/10.1016/j.omega.2022.102635.
Schaal, Markus & Davis, Enno & Mueller, Roland. (2022). Multi-National Topics Maps for Parliamentary Debate Analysis. doi.org/10.24251/HICSS.2022.366.
Schinschke, J., Schmietendorf, A. (2022). LoRaWAN Network Coverage Analysis in the Transportation Sector: A Real-World Approach, 9th International Electronic Conference on Sensors and Applications (ECSA-9), accepted paper, Eng. Proc. 2022, 01-15. November 2022/online. doi.org/10.3390/ecsa-9-13321.
Schmietendorf, A. (2022). Empirische Analyse langjährig betriebenen Web Content Management Systeme (kurz WebCMS) im Diskurs kleiner Organisationen, Studie/Forschungsbericht, ca. 50 Seiten, HWR Berlin, 1. Quartal 2022.
Schmietendorf, A. (2022). ESAPI_light 2021 – Öffentlicher Expertenworkshop im Zusammenhang mit den Ergebnissen des Projekts KI-Web-APIs, in Software Measurement News – Journal of the Software Metrics Community, S. 6-8, Volume 27, Number 1, April 2022, ISSN 1867-9196.
Schmietendorf, A. (2022). No-Code bzw. Low-Code Softwareentwicklung im Diskurs fachlich benötigter KI-Lösungen, in Proc. ESAPI light 2021 – Fraunhofer IESE Kaiserslautern/HWR Berlin, S. 45-56, Shaker-Verlag, Düren, April 2022.
Schmietendorf, A. (2022). Verantwortungs-, Umfangs- und Aufwandsaspekte nachhaltig betriebener Webpräsenzen im Diskurs von kleinen Organisationseinheiten, in Software Measurement News – Journal of the Software Metrics Community, S. 28-42, Volume 27, Number 1, April 2022, ISSN 1867-9196.
Schmietendorf, A. (2022). Workshopbericht – Verwendung vorgefertigter KI-Services im wissenschaftlichen und industriellen Diskurs (Möglichkeiten, Voraussetzungen und Grenzen), in Software Measurement News – Journal of the Software Metrics Community, S. 14-16, Volume 27, Number 2, Oktober 2022, ISSN 1867-9196.
Schmietendorf, A., Hartenstein, S. (2022). Möglichkeiten Metriken-gestützter Reviews zur Quellcodebewertung, in Proc. 24. Workshops Software-Reengineering & Evolution (WSRE 2022), Softwaretechnik-Trends, Band 42, Heft 2, S. 41-42, Bad-Honnef, 02.-04. Mai 2022, ISSN 0720-8928.
Shin, D., Hameleers, M., Park, Y. J., Kim, J. N., Trielli, D., Diakopoulos, N., Helberger, N., Lewis, S. C., Westlund, O., & Baumann, S. (2022). Countering Algorithmic Bias and Disinformation and Effectively Harnessing the Power of AI in Media. Journalism & Mass Communication Quarterly, 99(4), 887–907. doi.org/10.1177/10776990221129245.
Tschopp, M., Ruef, M. und Monett, D. (2022). Vertrauen Sie KI? Einblicke in das Thema Künstliche Intelligenz und warum Vertrauen eine Schlüsselrolle im Umgang mit neuen Technologien spielt. In M. Landes, E. Steiner, T. Utz (eds.), Kreativität und Innovation in Organisationen: Impulse aus Innovationsforschung, Management, Kunst und Psychologie, (pp. 319-346). Berlin, Heidelberg: Springer Gabler. doi.org/10.1007/978-3-662-63117-1_16).
Wiesner, Heike & Schütze, Judith & Lucht, Petra & Schure, Tim. (2022). DIGITAL TEACHING FORMATS WITH AND FOR TEACHERS IN THE HEALTH CARE SECTOR: IT DOES NOT WORK WITHOUT REAL PARTICIPATION!. 6432-6438. doi.org/10.21125/inted.2022.1632.
Wiesner, Heike & Schütze, Judith & Zimmermann, Holger & Lucht, Petra & Dornick, Sahra & Tausch, Sandra & Reichel, Karin & Winkelmann, C. & Kasprick, Lysann & Engelke, Monika. (2022). DIGITAL TRANSFORMATION IN THE HEALTH CARE SECTOR: BENEFITS THROUGH DIGITAL TECHNOLOGIES & PARTICIPATION. 5423-5430. doi.org/10.21125/inted.2022.1403.
Yankova, A., Resch, O. (2022). Das Konzept eines digitalen Assistenten zur Unterstützung von Praxisphasen im (dualen) Studium: Wie Digitalisierung und Personalisierung die Theorie-Praxis-Verzahnung verbessern können. In: Lehre. Lernen. Digital, (Ausgabe 1/2022), S. 10-17. ISSN 2699-8629.
Zellhöfer, David (2022). Warum stritten wir je um Discovery und OPAC? „Boutique”-Recommender-Systeme als aktuelles Aufgabengebiet für Digitale Bibliotheken, BIT Online. 2022, Vol. 25 Issue 3, p233-240. 8p.
Aldrighetti, R., Battini, D., Ivanov, D., Zennaroa, I. (2021). Costs of resilience and disruptions in supply chain network design models: A review and future research directions. In: International Journal of Production Economics. H. 235 (May 2021): 108103. S. 1 – 2, ISSN 0925-5273. doi.org/10.1016/j.ijpe.2021.108103.
Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry. (2021). Increasing supply chain resilience through efficient redundancy allocation: a risk-averse mathematical model. doi.org/10.1016/j.ifacol.2021.08.120.
Anandarajah, L., Monett Diaz, D. (2021). Will Robots Take all the Jobs? Not yet.. Proceedings of the 3rd Europea Conference on the Impact of Artificial Intelligence and Robotics, ECIAIR 2021. Reading, UK: Academic Conferences International Ltd.. S. 1 – 9, Print-ISBN: 978-1-7138-3979-8. doi.org/10.34190/EAIR.21.029.
Anisienia, Anna & Mueller, Roland & Kupfer, Anna & Staake, Thorsten. (2021). Research Method Classification with Deep Transfer Learning for Semi-Automatic Meta-Analysis of Information Systems Papers. doi.org/10.24251/HICSS.2021.737.
Bannier, C., Feess, E., Packham, N., Walzl, M. (2021). Differentiation and Risk Aversion in Imperfectly Competitive Labor Markets. In: Journal of Institutional and Theoretical Economics - JITE. Bd. 177. H. 1/2021. S. 1 – 27. doi.org/10.1628/jite-2020-0044.
Baumann, Sabine (2021). Media Management and Business: Old vs. New. In: Mahoney, Meghan & Tang, Tang (Hrsg.) (2021) The Handbook of Media Management and Business, Rowman & Littlefield, Lanham, S. 407-425.
Blackhurst, Jennifer & Das, Ajay & Ivanov, Dmitry. (2021). Supply Chain Resilience and its Interplay with Digital Technologies: Making Innovations Work in Emergency Situations. International Journal of Physical Distribution & Logistics Management. 51. 97-103. doi.org/10.1108/IJPDLM-03-2021-409.
Bloomfield, M., Lemke, C., Diaz, M. (2021). Game-based Learning as a Suitable Approach for Teaching Digital Ethical Thinking in the Field of Artificial Intelligence. Proceedings of The 15th annual International Technology, Education and Development Conference. ES-Valencia: IATED Academy. S. 3447 – 3456, Print-ISBN: 978-84-09-27666-0.
Buchfink, René & Class, Christina & Zellhöfer, David. (2021). Gewissensbits – wie würden Sie urteilen?. Informatik Spektrum. 44. doi.org/10.1007/s00287-021-01419-y.
Burgos, Diana & Ivanov, Dmitry. (2021). Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions. Transportation Research Part E Logistics and Transportation Review. 152. doi.org/10.1016/j.tre.2021.102412.
Dolgui, Alexandre & Ivanov, Dmitry. (2021). 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything. International Journal of Production Research. 60. 1-10. doi.org/10.1080/00207543.2021.2002969.
Dolgui, Alexandre & Ivanov, Dmitry. (2021). Ripple effect and supply chain disruption management: new trends and research directions. International Journal of Production Research. 59. 102-109. doi.org/10.1080/00207543.2021.1840148.
Dornick, Sahra & Schütze, Judith & Stepczynski, J. & Wiesner, Heike. (2021). ON CARING BITS AND DIGITAL SNACKS - DOING PARTICIPATORY RESEARCH WITHIN THE CARE SECTOR IN TIMES OF CRISIS. 7100-7108. doi.org/10.21125/edulearn.2021.1434.
Fiegler, A., Schmietendorf, A., Dumke, R. (2021). Vertrauenswürdige KI-Dienste, in Proc. Online-Workshop (e) trust, S. 17-24, Shaker-Verlag, Düren, August 2021, Band 25, ISBN 978-3-8440-8106-0.
Fischer, S., Surma, S., Blind, K. (2021). The Influence of Links to Parental (Research) Organization on Survival of Research-Based Spin-Off Ventures. Manchester: ISPIM Conference Proceedings. S. 1 – 20, Print-ISBN: 978-952-335-467-8.
Frazzon, E., Freitag, M., Ivanov, D. (2021). Intelligent Methods and Systems for Decision-Making Support: Toward Digital Supply Chain Twins. In: International Journal of Information Management. H. 57 (April 2021): 102281. S. 1 – 2, Print-ISSN: 0268-4012. doi.org/10.1016/j.ijinfomgt.2020.102281.
Geyer, J., Qari, S., Buslei, H., Haan, P. (2021). DySiMo Dokumentation: Version 1.0. Berlin: Deutsches Institut für Wirtschaftsforschung - DIW. (=Data Documentation 101). ISSN: 1861-1532.
Hartenstein, Sandro & Nadobny, Konrad & Schmidt, Steven & Schmietendorf, Andreas. (2021). Workshop "Evaluation of Service-APIs -ESAPI 2020" Motto: APIs als Klebstoff einer allumfassenden Digitalisierung. Detaillierter Bericht. doi.org/10.13140/RG.2.2.10117.78560.
Hartenstein, Sandro & Schmidt, Steven & Schmietendorf, Andreas. (2021). Trust Patterns In Modern Web-API-based Service Architectures - More Than Technical Security Aspects, P. 23-25, ISSN: 2308-3557.
Hosseini, Seyedmohsen & Ivanov, Dmitry. (2021). A multi-layer Bayesian network method for supply chain disruption modelling in the wake of the COVID-19 pandemic. International Journal of Production Research. 60. 1-19. doi.org/10.1080/00207543.2021.1953180.
Ivanov, D., Dolgui, A. (2021). A digital supply chain twin for managing the disruptions risks and resilience in the era of Industry 4.0. In: Production Planning & Control. The Management of Operations. Bd. 32. H. 9. S. 1 – 14, Print-ISSN: 0953-7287, Online-ISSN: 1366-587. doi.org/10.1080/09537287.2020.1768450.
Ivanov, D., Dolgui, A. (2021). OR-Methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications. In: International Journal of Production Economics. H. 232 (February 2021): 107921. S. 1 – 2, Print-ISSN: 0925-5273. doi.org/10.1016/j.ijpe.2020.107921.
Ivanov, D., Tang, C., Dolgui, A., Battini, D., Das, A. (2021). Researchers' Perspectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management. In: International Journal of Production Research. Bd. 59. H. 7. S. 2055 – 2078, Print-ISSN: 0020-7543, Online-ISSN: 1366-588X. doi.org/10.1080/00207543.2020.1798035.
Ivanov, Dmitry & Tsipoulanidis, Alexander & Schönberger, Jörn. (2021). Global Supply Chain and Operations Management, A Decision-Oriented Introduction to the Creation of Value. doi.org/10.1007/978-3-319-94313-8.
Ivanov, Dmitry. (2021). Introduction to Supply Chain Resilience: Management, Modelling, Technology. doi.org/10.1007/978-3-030-70490-2.
Ivanov, Dmitry. (2021). Supply Chain Viability and the COVID-19 Pandemic: A Conceptual and Formal Generalisation of Four Major Adaptation Strategies. International Journal of Production Research. doi.org/10.1080/00207543.2021.1890852.
Kayser, Liza & Fruhwirth, Michael & Mueller, Roland. (2021). Realizing Value with Data and Analytics: A Structured Literature Review on Classification Approaches of Data-Driven Innovations. doi.org/10.24251/HICSS.2021.690.
Lemke, C., Monett Diaz, D., Bloomfield, M. (2021). Lernen und Lehren mit und über KI. Chancen für eine Reformierung der Bildung. In: Politikum. H. 1/2021. S. 54 – 61 Print-ISSN: 2364-4737.
Lemke, C., Monett Diaz, D., Faustmann, G., Kirchner, K. (2021). Digitale Ethik der Bildung: Methodische Entwicklung eines Rahmenwerks. Digitalisierung in Studium und Lehre gemeinsam gestalten. Innovative Formate, Strategien und Netzwerke. Wiesbaden: Springer VS. S. 1 – 2, Print-ISBN: 978-3-658-32848-1, Online-ISBN: 978-3-658-32849-8. doi.org/10.1007/978-3-658-32849-8_6.
Lemke, Claudia & Monett, Dagmar & Mikoleit, Manuel. (2021). Digitale Ethik in datengetriebenen Organisationen und deren Anwendung am Beispiel von KI-Ethik. doi.org/10.1007/978-3-658-33813-8_3.
Loecher, Markus & Wu, Qi. (2021). Data-driven advice for interpreting local and global model predictions in bioinformatics problems. doi.org/10.48550/arXiv.2108.06201.
Loecher, Markus. (2021). The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits. Frontiers in Artificial Intelligence. 4. 715690. doi.org/10.3389/frai.2021.715690.
Lohse, Tim & Qari, Salmai (2021). Soziale Interaktion und geschlechtsspezifisches Wettbewerbsverhalten. DIW Roundup: Politik im Fokus No. 138, Deutsches Institut für Wirtschaftsforschung (DIW), Berlin. doi.org/10419/249151.
Lohse, Tim & Qari, Salmai. (2021). Gender differences in face-to-face deceptive behavior. Journal of Economic Behavior & Organization. 187. 1-15. doi.org/10.1016/j.jebo.2021.03.026.
Monett Diaz, D., Lemke, C. (2021). University-Industry Collaboration's Next Level: A Comparative Study as Basis for a User-centred Design of a Master's Programme in Digital Transformation. In: IATED Academy (Hrsg.). Proceedings of The 15th annual International Technology, Education and Development Conference, INTED 2021. ES-Valencia: IATED Academy. S. 3409 – 3416 Print-ISBN: 978-84-09-27666-0.
Monett Diaz, D., Lemke, C. (2021). AI-ware: Bridging AI and Software Engineering for responsible and sustainable intelligent artefacts. In: van Giffen, B., Koehler, J., Brenner, W., Albayrak, C. (Hrsg.). Managing Artificial Intelligence. St. Gallen: Institut für Wirtschaftsinformatik Universität St.Gallen. (=Workshop Paper Series, INFORMATIK 2021). S. 66 – 73.
Monett, Dagmar & Hoge, Luisa & Haase, Laura & Schwarz, Lena & Normann, Marc & Scheibe, Linus. (2021). The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: Annotation, Guidelines, and Student Research Projects. doi.org/10.21125/iceri.2021.0871.
Monett, Dagmar & Lemke, Claudia & Jefferies, Amanda & Faustmann, Gert & Brandherm, Tom. (2021). The Changing Landscape of Digital Technologies for Learning. https:/doi.org/10.34190/EEL.21.067.
Motta, M., Hagemann, T., Fischer, S., Assion, F. (2021). EvolMusic: towards musical adversarial examples for black-box attacks on speech-to-text. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '21). Association for Computing Machinery, New York, NY, USA, 161–162. doi.org/10.1145/3449726.3459488.
Osipenko, Maria. (2021). Directional assessment of traffic flow extremes. Transportation Research Part B: Methodological. 150. 353-369. https://doi.org/10.1016/j.trb.2021.06.006.
Packham, N. (2021). Structured climate financing: valuation of CDO on inhomogeneous asset pools. In: SN Business & Economics. Bd. 1. H. 4, Article: 59. S. 1 – 48, Print-ISSN: 2662-9399. doi.org/10.1007/s43546-021-00057-6.
Pehlken, A., Baumann, S. (2021) No more flat tires: Overcoming data defects to achieve supply chain resilience. In: Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) “Innovation, Technology, and Engineering Management for our Societal, Environmental, and EconomicResilience”, Cardiff (UK). IEEE Xplore.
Pohlink, Claudia & Fischer, Sebastian. (2021). Aus Versehen verzerrt: Wie identifiziert man einen Bias in Machine Learning Modellen? doi.org/10.1007/978-3-658-34670-6_4.
Pohlink, Claudia & Fischer, Sebastian. (2021). Verantwortungsvolle und robuste KI in Unternehmen: Wie man KI-bezogene Risiken gegen Bias und Diskriminierung beherrscht. doi.org/10.1007/978-3-658-35779-5_16.
Rai, Rahul & Tiwari, Manoj & Ivanov, Dmitry & Dolgui, Alexandre. (2021). Machine learning in manufacturing and industry 4.0 applications. International Journal of Production Research. 59. 4773-4778. doi.org/10.1080/00207543.2021.1956675.
Roedenbeck, M., Qari, S., Herold, M. (2021). Künstliche Intelligenz im Rekruiting. In: Barton, T., Müller, C. (Hrsg.). Künstliche Intelligenz in der Anwendung Rechtliche Aspekte, Anwendungspotenziale und Einsatzszenarien. Wiesbaden: Springer Vieweg. (=Angewandte Wirtschaftsinformatik). S. 1 – 2, Print-ISBN: 978-3-658-30935-0, Online-ISBN: 978-3-658-30936-7. doi.org/10.1007/978-3-658-30936-7.
Ruel, Salomée & Elbaz, Jamal & Ivanov, Dmitry & Das, Ajay. (2021). Supply chain viability: conceptualization, measurement, and nomological validation. Annals of Operations Research. doi.org/10.1007/s10479-021-03974-9.
Schmietendorf, A. (2021). Bericht zum Online-Workshop (e) trust – Vertrauen in Digitale Dienste (Werte – Risiken – Prinzipien – Methoden – Techniken). In: Software Measurement News – Journal of the Software Metrics Community. Bd. 26. H. 2. S. 10 – 14.
Schmietendorf, A., Letzel, W. (2021). Analyse internetbasierter Datenspuren mit Hilfe des Web Scrapings -- Möglichkeiten, Technologien, Tests und Problemstellungen. In: Software Measurement News. Journal of the Software Metrics Community. Bd. 26. H. 1. S. 40 – 55, Print-ISSN: 1867-9196.
Thoring, K., Gonçalves, M., Mueller, R., Desmet, P., & Badke-Schaub, P. 2021 Aug 31. The Architecture of Creativity: Toward a Causal Theory of Creative Workspace Design. International Journal of Design [Online] 15:2.
Walshe, Ray & Koene, Ansgar & Baumann, Sabine & Panella, Massimo & Maglaras, Leandros & Medeiros, Francisco (2021). Artificial Intelligence as Enabler for Sustainable Development. In: Proceedings of the 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) “Innovation, Technology, and Engineering Management for our Societal, Environmental, and Economic Resilience”, Cardiff (UK). IEEE Xplore.
Zellhöfer, David. (2021). Agilität und Weltkulturerbe: Erfahrungen mit sieben Jahren agilen Methoden an der Staatsbibliothek zu Berlin – Eine Fallstudie II/II. ABI Technik. 41. 259-266. doi.org/10.1515/abitech-2021-0044.
Zellhöfer, David. (2021). Agilität und Weltkulturerbe: Erfahrungen mit sieben Jahren agilen Methoden an der Staatsbibliothek zu Berlin – Eine Fallstudie I/II. ABI Technik. 41. 194-201. doi.org/10.1515/abitech-2021-0032.
Aden, H., Rumpel, R. (2020). Hochschul-Datenschutz in Zeiten der Digitalisierung. In: Egger de Campo, M., Resch, O. (Hrsg.). Digitalität@HWR. Erfahrungen mit Digitalisierung in Forschung und Lehre. Baden-Baden: Nomos. (=67.). S. 37 – 57, Print-ISBN: 978-3-8487-6484-6.
Appel, M., Eisenbart, B., Grisold, A., Kirch, J., Tomenendal, M., Wiesner, H., et al., X. (2020). Master Curriculum: Gender Equality in Digital Entrepreneurship. Project results of Erasmus+ Project EqualDigiTalent. Berlin: Hochschulbibliothek HWR Berlin. Print-ISSN: 0000-0000. DOI: doi.org/10.4393/opushwr-2556.
Baumann, Sabine (Hrsg.) (2020) Teaching Strategic Management: A Hands-on Guide to Teaching Success, Edward Elgar Publishing, Cheltenham (UK).
Birkenkrahe, M. (2020). Das erste Online-Seminar. In: eLerner Blog der HWR Berlin. vom 08.04.2020. S. 1 – 2, Print-ISSN: 2365-0338.
Birkenkrahe, M., Gunnoltz, J. (2020). Students model Start-Up Processes - An Embedded Approach to Entrepreneurship Education. In: Egger de Campo, M., Resch, O. (Hrsg.). Digitalität@HWR. Erfahrungen mit Digitalisierung in Forschung und Lehre. Baden Baden: Nomos Verlag. (=HWR Berlin Forschung 67). S. 95 – 123, Print-ISBN: 978-3-8487-6484-6.
Birkenkrahe, Marcus & Gunnoltz, Julia. (2020). Students Model Startup Processes – An Embedded Approach to Entrepreneurship Education. doi.org/10.5771/9783748905318-95.
Choi, T.-M. and Ivanov, D. (2020). Editorial to the Special Issue onOperations Research Models for Supply Chain Finance. Intl. Trans. in Op. Res., 27: 2263-2269. doi.org/10.1111/itor.12789.
Dolgui, Alexandre & Ivanov, Dmitry & Potryasaev, Semyon & Sokolov, Boris & Ivanova, Marina & Werner, Frank. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain. International Journal of Production Research. 58. 2184-2199. doi.org/10.1080/00207543.2019.1627439.
Dolgui, Alexandre & Ivanov, Dmitry & Sokolov, Boris. (2020). Reconfigurable supply chain: the X-network. International Journal of Production Research. 58. 4138-4163. doi.org/10.1080/00207543.2020.1774679.
Dolgui, Alexandre & Ivanov, Dmitry. (2020). Exploring supply chain structural dynamics: New disruptive technologies and disruption risks. International Journal of Production Economics. 229. doi.org/10.1016/j.ijpe.2020.107886.
Dolgui, Alexandre & Ivanov, Dmitry. (2020). Manufacturing modelling, management and control: IFAC TC 5.2 past, present and future. Annual Reviews in Control. 49. 258-263. doi.org/10.1016/j.arcontrol.2020.04.003.
Dornick, S., Schütze, J., Wiesner, H., et al., X. (2020). Aktuelle Herausforderungen für die Pflegeausbildung: Generalistik, Digitalisierung und COVID-19-Pandemie - Partizipative Technikentwicklung von Online-Lehr-/Lern-Szenarios für die Pflegeausbildung. Mensch und Computer 2020 - Workshopband. Bonn: Gesellschaft für Informatik e.V.. S. 1 – 2, Print-ISBN: 0000-0000. doi.org/10.18420/muc2020-ws109-350.
Eberl, M. (2020). Blended Learning an einer öffentlichen Hochschule. In: Egger de Campo, M., Resch, O. (Hrsg.). Digitalität@HWR. Erfahrungen mit Digitalisierung in Forschung und Lehre. Baden Baden: Nomos Verlag. (=HWR Berlin Forschung 67). S. 139 – 164, Print-ISBN: 978-3-8487-6484-6, Online-ISBN: 978-3-7489-0531-8. doi.org/10.5771/9783748905318.
Egger de Campo, M., Resch, O. (Hrsg.). (2020). Digitalität@HWR. Erfahrungen mit Digitalisierung in Forschung und Lehre. (=HWR Berlin Forschung 67). Baden Baden: Nomos Verlag. Print-ISBN: 978-3-8487-6484-6.
Elkina, M. (2020). Scrum method for student project. Proceedings of the 10th International Research Conference on Education, Language and Literature - IRCEELT 2020. Tiblis/Georgien: IRCEELT 2020. S. 119 – 123, Print-ISBN: 2298-0180 ISSN, Online-ISBN: 2587-4721 e-ISSN.
Faustmann, G., Kirchner, K., Lemke, C., Monett Diaz, D. (2020). A Pattern Language For Scientific Texts – Support For The Academic Education Process. In: Lopez Martinez, A., Candel Torres, I., Gómez Chova, L. (Hrsg.). 14th International Technology, Education and Development Conference. Valencia_Spanien: IATED. S. 5655 – 5656, Online-ISBN: 978-84-09-17939-8. doi.org/10.21125/inted.2020.1528.
Fiegler, A., Schmietendorf, A. (2020). Entwicklung smarter Anwendungen mit Hilfe cloudbasiert angebotener KI-Algorithmen, in Proceedings ESAPI 2020, S. 01-08, Shaker-Verlag, Aachen, November 2020.
Fischer, S., Katsarou, K., Holschke, O. (2020). DeepFlow: Towards Network-Wide Ingress Traffic Prediction Using Machine Learning At Large Scale, 2020 International Symposium on Networks, Computers and Communications (ISNCC), 2020, pp. 1-8. doi.org/10.1109/ISNCC49221.2020.9297301.
Giloni, A., Grolman, E., Hagemann, T., Fromm, R., Fischer, S., Elovici, Y., & Shabtai, A. (2020). BENN: Bias Estimation Using Deep Neural Network. doi.org/10.48550/arXiv.2012.12537.
Gupta, Varun & Ivanov, Dmitry & Choi, Tsan-Ming. (2020). Competitive Pricing of Substitute Products under Supply Disruption. Omega. 101. doi.org/10.1016/j.omega.2020.102279.
Hardinghaus, M., Löcher, M., Anderson, J. (2020). Real-world insights on public charging demand and infrastructure use from electric vehicles. In: Environmental Research Letters. Bd. 15. H. 10, Article : 104030. S. 1 – 12, Print-ISSN: 1748-9326. doi.org/10.1088/1748-9326/aba716.
Hartenstein, S., Nadobny, K., Schmidt, S., Schmietendorf, A. (2020). Sicherheits- und Compliance-Management im Lebenszyklus von Web APIs, Ergebnisse eines Forschungsprojektes an der HWR Berlin/Uni Magdeburg, 140 Seiten, Monografie, Logos-Verlag, Berlin, März 2020, ISBN 978-3-8325-5086-8.
Hartenstein, S., Schmidt, S., Schmietendorf, A. (2020). Towards An Empirical Analysis Of Trustworthiness Attributes In The Context of Digitalization, in Proc. 14th International Conference on Digital Society (ICDS 2020), S. 112-116, IARIA Valencia/Spain, November 2020, ISBN 978-1-61208-760-3.
Hollmann, T., Drasdo, K., Mey, S., Birkenkrahe, M. (2020). Mediendidaktik im Fach Rechtsmedizin des Bachelorstudienganges ""Gehobener Polizeivollzugsdienst der HWR Berlin - E-Learning-Einheiten als zusätzliches Angebot der Wissensvermittlung. In: Lehre.Lernen.Digital. Bd. 1. H. 2/2020. S. 23 - 29, Print-ISSN: 2699-8629.
Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre. (2020). Ripple effect modelling of supplier disruption: integrated Markov chain and dynamic Bayesian network approach. International Journal of Production Research. 58. 3284-3303. doi.org/10.1080/00207543.2019.1661538.
Hosseini, Seyedmohsen & Ivanov, Dmitry. (2020). Bayesian Networks for Supply Chain Risk, Resilience and Ripple Effect Analysis: A Literature Review. Expert Systems with Applications. doi.org/10.1016/j.eswa.2020.113649.
Ivanov, Dmitry & Das, Ajay. (2020). Coronavirus (COVID-19/SARS-CoV-2) and supply chain resilience: a research note. International Journal of Integrated Supply Management. 13. 90. doi.org/10.1504/IJISM.2020.107780.
Ivanov, Dmitry & Dolgui, Alexandre. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak. International Journal of Production Research. 58. 1-12. doi.org/10.1080/00207543.2020.1750727.
Ivanov, Dmitry & Rozhkov, Maxim. (2020). Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company. Annals of Operations Research. 291. doi.org/10.1007/s10479-017-2643-8.
Ivanov, Dmitry & Sokolov, Boris & Chen, Weiwei & Dolgui, Alexandre & Werner, Frank & Potryasaev, Semyon. (2020). A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints. IIE Transactions. 1 - 26. doi.org/10.1080/24725854.2020.1739787.
Ivanov, Dmitry & Sokolov, Boris & Werner, Frank & Dolgui, Alexandre. (2020). Proactive Scheduling and Reactive Real-Time Control in Industry 4.0. doi.org/10.1007/978-3-030-43177-8_2.
Ivanov, Dmitry & Sokolov, Boris. (2020). Integrated Scheduling of Information Services and Logistics Flows in the Omnichannel System. doi.org/10.1007/978-3-030-43177-8_7.
Ivanov, Dmitry. (2020). A blessing in disguise’ or ‘as if it wasn’t hard enough already: reciprocal and aggravate vulnerabilities in the supply chain. International Journal of Production Research. 58. 3252-3262. doi.org/10.1080/00207543.2019.1634850.
Ivanov, Dmitry. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation- based analysis on the coronavirus outbreak (COVID-19 / SARS-CoV-2) case. Transportation Research Part E Logistics and Transportation Review. 136. doi.org/10.1016/j.tre.2020.101922.
Ivanov, Dmitry. (2020). Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic. Annals of Operations Research. 319. 1-21. doi.org/10.1007/s10479-020-03640-6.
Koehn, D., Lessmann, S., Schaal, M. (2020). Predicting online shopping behaviour from clickstream data using deep learning. In: Expert Systems with Applications. H. Vol. 150, Article: 113342. S. 1 - 30, Print-ISSN: 0957-4174. doi.org/10.1016/j.eswa.2020.113342.
Larsen, K., Lukyanenko, R., Müller, R., et al., X. (2020). Validity in Design Science Research. In: Hofmann, S., Müller, O., Rossi, M. (Hrsg.). Designing for Digital Transformation. Co-Creating Services with Citizens and Industry 15th International Conference on Design Science Research in Information Systems and Technology, DESRIST 2020, Kristiansand, Norway, December 2-4, 2020, Proceedings. Berlin: Springer Nature. (=Lecture Notes in Computer Science Vol. 12388). S. 272 – 282, Print-ISBN: 978-3-030-64822-0. doi.org/10.1007/978-3-030-64823-7_25.
Lecuna Aguerrevere, A., Alleblas, J., Müller, R., Graves, M., Thoring, K. (2020). The Impact of Status Anonymity on Team Dynamics in Co-creation Workshops. Proceedings of the Design Society: DESIGN Conference, Vol. 1. UK-Cambridge: Cambridge University Press. S. 1465 – 1474, Online-ISBN: 2633-7762. doi.org/10.1017/dsd.2020.305.
Lemke, C. (2020). Digitalisierung und zukünftige Managementkompetenzen. In: Egger de Campo, M., Resch, O. (Hrsg.). Digitalität@HWR, Erfahrungen mit Digitalisierung in Forschung und Lehre. Baden Baden: Nomos. (=HWR Berlin Forschung 67). S. 165 – 186, Print-ISBN: 978-3-8487-6484-6, Online-ISBN: 978-3-7489-0531-8. doi.org/10.5771/9783748905318-165.
Lemke, C., & Monett, D. (2020). KI und Automatisierung: Wirkung auf die Arbeit der Zukunft (engl.: AI and automation: Impact on the future of work). In J. Nachtwei & A. Sureth (eds.), Sonderband Zukunft der Arbeit, Human Resources Consulting Review, 12: 400-403, VQP (ISSN: 2196-0232).
Lemke, Claudia. (2020). Digitalisierung im Spannungsfeld zwischen Technologie und Management. doi.org/10.1007/978-3-662-59418-6_2.
Lemke, Claudia. (2020). Digitalisierung und zukünftige Managementkompetenzen. doi.org/10.5771/9783748905318-165.
Löcher, M. (2020). From unbiased MDI Feature Importance to Explainable AI for Trees. In: arXiv.org. H. arXiv:2003.12043. S. 1 – 23, Print-ISSN: 0000-0000. doi.org/10.48550/arXiv.2003.12043.
Löcher, M. (2020). Unbiased variable importance for random forests. In: Communications in Statistics - Theory and Methods. S. 1 – 13. doi.org/10.1080/03610926.2020.1764042.
Lohse, T., Qari, S. (2020). Gender Differences in Face-to-Face Deceptive Behavior?. Berlin: Deutsches Institut für Wirtschaftsforschung - DIW. (=DIW Discussion Papers No. 1922).Print-ISSN: 1619-4535.
Meyer, S. (2020). Agile Verfahren und Vergaberecht. In: Egger de Campo, M., Resch, O. (Hrsg.). Digitalität@HWR. Erfahrungen mit Digitalisierung in Forschung und Lehre. Baden Baden: Nomos Verlag. (=HWR Berlin Forschung 67). S. 217 – 231, Print-ISBN: 978-3-8487-6484-6.
Monett, D., Lampe, N., Ehrlicher-Schmidt, M., & Bewer, N. (2020). Intelligence Catalog-guided Tracking of the Evolution of (machine) Intelligence: Preliminary results. In Basile, P., Basile, V., Cabrio, E., & Croce, D. (eds.), Proceedings of the 4th Workshop on Natural Language for Artificial Intelligence, NL4AI 2020, 2735: 118-129, CEUR-WS, co-located with the 19th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, November 25th-27th, 2020, online event (ISSN: 1613-0073).
Monett, D., Lewis, C. W. P. (2020a). Definitional Foundations for Intelligent Systems, Part I: Quality Criteria for Definitions of Intelligence. In J. Vopava, V. Douda, R. Kratochvil, and M. Konecki (eds.), Proceedings of The 10th Anniversary Conference of the Academic Conference Association, AC 2020, pp. 73-80, MAC Prague Consulting Ltd., August 7th, 2020, Prague, Czech Republic (ISBN: 978-80-88085-30-0).
Monett, D., Lewis, C. W. P. (2020b). Definitional Foundations for Intelligent Systems, Part II: Constructing a Definition and Examples. In J. Vopava, V. Douda, R. Kratochvil, and M. Konecki (eds.), Proceedings of The 10th Anniversary Conference of the Academic Conference Association, AC 2020, pp. 81-89, MAC Prague Consulting Ltd., August 7th, 2020, Prague, Czech Republic (ISBN: 978-80-88085-30-0).
Monett, D., Lewis, C. W. P., & Thórisson, K. R. (2020). Introduction to the JAGI Special Issue "On Defining Artificial Intelligence"–Commentaries and Author's Response. In Monett, D., Lewis, C. W. P., & K. R. Thórisson (eds.), Journal of Artificial General Intelligence, 11(2): 1-4, ISSN: 1946-0163. doi.org/10.2478/jagi-2020-0003.
Packham, N. (2020). Selbstlernen stärken -- Online-Lehre in quantitativen Fächern Konzept, Umsetzung, Schlussfolgerungen (D 3.40). In: Berendt, B., Fleischmann, A., Schaper, B., et al., X. (Hrsg.). Neues Handbuch Hochschullehre. Berlin: DUZ Verlags- und Medienhaus GmbH. (=Loseblatt-Sammlung Nr. 98). S. 17 – 34, Print-ISBN: 978-3-8183-0206-1.
Packham, N. (2020). Structured climate financing:valuation of CDOs oninhomogeneous asset pools. Berlin: Humboldt-Universität zu Berlin. (=International Research Training Group (IRTG) 1792 - Discussion Paper 2020-003). Print-ISSN: 2568-5619.
Pehlken, Alexandra & Baumann, Sabine (2020). Urban Mining: Applying Digital Twins for Sustainable Product Cascade Use. In: Proceedings of the 26th International Conference on Engineering, Technology, and Innovation (ICE/IEEE ITMC) 2020 “Digitalization through Digital Twins – Innovation in the analysis and management of environmental and physical engineered complex systems”, Cardiff, S. 1-7. IEEE Xplore. doi.org/10.1109/ICE/ITMC49519.2020.9198462.
Resch, O. (2020). Einführung in das IT-Management - Grundlagen, Umsetzung, Best Practice, Erich Schmidt Verlag, ISBN 978-3-503-19172-7.
Resch, O. (2020). Open Knowledge Interface (OKI) Ein digitaler Assistent für wissenschaftliche Arbeiten. In: Lehr.Lernen.Digital-unabhängige interdisziplinäre Zeitschrift für das Lehren und Lernen mit digitalen Medien. Bd. 1. H. 2/2020. S. 12 – 12, Print-ISSN: 2699-8629.
Sabine Baumann (2020) “Guest editor’s introduction: strategic media management at a junction”, Journal of Media Business Studies, 17(1), S. 1-12.
Schmietendorf, A. (2020). API-Sicherheit, detaillierter Workshopbericht. In: Software Measurement News - Journal of the Software Metrics Community. Bd. 1. H. Volume 25. S. 9 – 13. Online-ISSN: 1867-9196.
Schmietendorf, A. (2020). Data Privacy For AI Fraud Detection Models -- A framework for GDPR compliant AI. In: Mauri, J., Papavasiliou, S., Choenni, S., Bargh, M. (Hrsg.). 14th International Conference on Digital Society (ICDS 2020). Valencia/Spanien: IARIA. S. 102 – 107, Print-ISBN: 978-1-61208-760-3, Online-ISBN: 2308-3956.
Schmietendorf, A. (2020). Enterprise Computing Conference ECC 2020 in Köln – Transformationen im Unternehmenskontext (detaillierter Bericht), in Software Measurement News – Journal of the Software Metrics Community, S. 14-22, Volume 25, Number 1, April 2020, ISSN 1867-9196.
Schmietendorf, A. (2020). Implizite Praxiskooperationen in der IT-Lehre und –Forschung, in Egger, M., Resch, O. (Hrsg.): Digitalität@HWR – Erfahrungen mit Digitalisierung in Forschung und Lehre, Reihe HWR-Forschung, Band 67, S. 59-74, Nomos Verlagsgesellschaft, Februar 2020, ISBN 978-3-8487-6484-6.
Schmietendorf, A. (2020). Künstliche Intelligenz mit Web APIs – Marktplätze für KI-Algorithmen, in Proceedings – Enterprise Computing Conference 2020, Shaker-Verlag, Aachen, April 2020, ISBN 978-3-8440-7320-1.
Schmietendorf, A. (2020). Öffentlich angebotene Daten und Funktionen (Open Data/Open APIs) als Rückgrat des digitalen Wandels in den deutschen Behörden – eine Bestandsaufnahme, akzeptierter Beitrag in Fisch, R. (Hrsg.): Verständliche Verwaltungskommunikation in Zeiten der Digitalisierung, Reihe „Verwaltungsressourcen und Verwaltungsstrukturen“, S. 25-38, Nomos Verlagsgesellschaft, Baden-Baden, März 2020, ISBN 978-3-8487-6200-2.
Schmietendorf, A. (2020). Enterprise Computing Conference ECC 2020 in Köln - Transormationen im Unternehmenskontext (detaillierter Bericht-Nachdruck). In: 44. WI-MAW Rundbrief (Management der Anwendungsentwicklung und -wartung). Bd. 26. H. 1. S. 53 – 59, Print-ISSN: 1610-5753.
Schmietendorf, A. (Hrsg.). (2020). Empirische Untersuchungen zum Cloud-Einsatz im KMU-Bereich -- eine zusammenfassende Betrachtung. (=Berliner Schriften zu modernen Integrationsarchitekturen 23). Düren: Shaker Verlag. Print-ISBN: 978-3-8440-7356-0.
Schmietendorf, A., Nadobny, K. (Hrsg.). (2020). ESAPI 2020 -- 4. Workshop Evaluation of Service-APIs. (=Berliner Schriften zu modernen Integrationsarchitekturen). Düren: Shaker- Verlag. Print-ISBN: 978-3-8440- 75
Schmietendorf, Andreas. (2020). Implizite Praxiskooperationen in der IT-Lehre und –Forschung. doi.org/10.5771/9783748905318-59.
Sokolov, Boris & Ivanov, Dmitry & Dolgui, Alexandre. (2020). Scheduling in Industry 4.0 and Cloud Manufacturing. doi.org/10.1007/978-3-030-43177-8.
Thoring, K., Müller, R., Badke-Schaub, P. (2020). Assessing and Changing an Organization’s Innovation Culture with the Workspace Catalyst Canvas. Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). ***: ***. S. 1 – 10, Print-ISBN: 978-0-9981331-3-3. doi.org/10.24251/HICSS.2020.052.
Thoring, K., Müller, R., Desmet, P., Badke-Schaub, P. (2020). Spatial design factors associated with creative work: a systematic literature review. In: AI EDAM - Artificial Intelligence for Engineering Design, Analysis and Manufacturing. Bd. 34. H. 3. S. 300 – 314, Print-ISSN: 0890-0604, Online-ISSN: 1469-1760. doi.org/10.1017/S0890060420000232.
Thoring, K., Müller, R., Giegler, S., Badke-Schaub, P. (2020). From Bauhaus to Design Thinking and Beyond: A Comparison of Two Design Educational Schools. Proceedings of the Design Society: DESIGN Conference, Vol. 1. UK-Cambridge: Cambridge University Press. S. 815 – 824, Online-ISBN: 2633-7762. doi.org/10.1017/dsd.2020.19.
Thoring, Katja & Mueller, Roland & Badke-Schaub, Petra. (2020). Workshops as a Research Method: Guidelines for Designing and Evaluating Artifacts Through Workshops. doi.org/10.24251/HICSS.2020.620.
Wiesner, H., Stepczynski, J. (2020). Mehr Medienvielfalt. In: Die Schwester Der Pfleger. H. 06/2020. S. 17 – 19, Print-ISSN: 0340-5303.
Alavi Fard, Farzad & He, Jian & Ivanov, Dmitry & Jie, Ferry. (2019). A utility adjusted newsvendor model with stochastic demand. International Journal of Production Economics. 211. doi.org/10.1016/j.ijpe.2019.01.018.
Alavi Fard, Farzad & Ivanov, Dmitry & He, Jian. (2019). Optimal divestment time in supply chain redesign under oligopoly: evidence from shale oil production plants. International Transactions in Operational Research. 27. doi.org/10.1111/itor.12651.
Alavi Fard, Farzad & Sy, Malick & Ivanov, Dmitry. (2019). Optimal overbooking strategies in the airlines using dynamic programming approach in continuous time. Transportation Research Part E Logistics and Transportation Review. 128. doi.org/10.1016/j.tre.2019.07.001.
Baumann, Sabine (2019). Understanding operating strategies for platforms and business ecosystems in Industry 4.0: Towards a conceptual framework, Proceedings of the 26th EurOMA Conference 'Operations adding value to society', Helsinki (Finnland).
Baumann, Sabine (2019). Where to from here? Conceptualizing operating strategies for platforms and business-ecosystems in smart manufacturing, Proceedings of the 50th Decision Sciences Institute Conference ‘Transforming Decision Sciences through Emerging Technologies’, New Orleans (USA), S. 1453-1463.
Birkenkrahe, M., Hingst, A., Mey, S. (2019). "Ja, ich will" - Wie können Lehrende für die digitale Transformation begeistert werden? In: Robra-Bissantz, S., Bott, O., Kleinefeld, N., et al., X. (Hrsg.). Teaching Trends 2018. Die Präsenzhochschule und die digitale Transformation. Münster: Waxmann Verlag. (=Digitale Medien in der Hochschullehre Band 7). S. 30 – 36, Print-ISBN: 978-3-8309-4012-8.
Blekanov, Ivan & Krylatov, Alexander & Ivanov, Dmitry & Bubnova, Yulia. (2019). Big Data Analysis in Social Networks for Managing Risks in Clothing Industry. IFAC-PapersOnLine. 52. 1710-1714. doi.org/10.1016/j.ifacol.2019.11.447.
Cavalcante, Ian & Frazzon, Enzo & Forcellini, Fernando & Ivanov, Dmitry. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management. 49. 86-97. doi.org/10.1016/j.ijinfomgt.2019.03.004.
Chaleshtori, Amir & Jahani, Hamed & Aghaie, Abdollah & Ivanov, Dmitry. (2019). A multi-layer congested facility location problem with consideration of impatient customers in a queuing system. IFAC-PapersOnLine. 52. 2279-2284. doi.org/10.1016/j.ifacol.2019.11.545.
Das, A., Gottlieb, S., Ivanov, D. (2019). Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. doi.org/10.1007/978-3-030-14302-2_13.
E. Ivarsson and R. M. Mueller (2019). Racing bib number recognition using deep learning. In: Proc. 25th Amer. Conf. Inf. Syst. (AMCIS), Cancun, Mexico, Aug. 2019.
Faustmann, G., Kirchner, K., Lemke, C., & Monett, D. (2019). Which Factors make Digital Learning Platforms Successful? In: L. Gómez Chova, A. López Martínez, & I. Candel Torres (eds.), Proceedings of The 13th annual International Technology, Education and Development Conference, INTED 2019, pp. 6777-6786, IATED Academy, March 11th-13th, 2019, Valencia, Spain (ISBN: 978-84-09-08619-1, ISSN: 2340-1079). https//doi.org/10.21125/inted.2019.1651.
Gottlieb, Simone & Ivanov, Dmitry & Das, Ajay. (2019). Case studies of the digital technology impacts on supply chain disruption risk management. doi.org/10.1007/978-3-658-25412-4_2.
Gupta, Varun & Ivanov, Dmitry. (2019). Dual sourcing under supply disruption with risk-averse suppliers in the sharing economy. International Journal of Production Research. 58. 1-17. doi.org/10.1080/00207543.2019.1686189.
Hartenstein, S., Nadobny, K., Nitze, A., Schmidt, S., Schmietendorf, A. (2019). Thementag API-Security – Veranstaltung des Berliner Forums Digitalisierung (Bericht und Ergebnisse), in Software Measurement News – Journal of the Software Metrics Community, S. 13-22, Volume 24, Number 2, October 2019, ISSN 1867-9196.
Hartenstein, S., Nadobny, K., Schmidt, S., Schmietendorf, A. (2019). An approach for a fast cost validation of Web-based APIs supported through the help of the functional size measurement with COSMIC. In: Taran, A. K., Coskuncay, A.: Joint Proceedings of IWSM Mensura 2019, S. 103-111, CEUR Vol-2476, October 2019, ISSN 1613-0073.
Horst, Sven-Ove & Järventie-Thesleff, Rita & Baumann, Sabine (2019). The practice of shared inquiry: how actors manage for strategy emergence. In: Journal of Media Business Studies, Vol. 16, No.3, S. 202-229.
Hosseini, Seyedmohsen & Tajik, Nazanin & Ivanov, Dmitry & Sarder, M.D. & Barker, Kash & Khaled, Abdullah. (2019). Resilient Supplier Selection and Optimal Order Allocation Under Disruption Risks. International Journal of Production Economics. 213. doi.org/10.1016/j.ijpe.2019.03.018.
Ivanov, D. (2019). Entropy-Based Analysis and Quantification of Supply Chain Recoverability. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. doi.org/10.1007/978-3-030-14302-2_10.
Ivanov, D., Dolgui, A., Sokolov, B. (2019). Ripple Effect in the Supply Chain: Definitions, Frameworks and Future Research Perspectives. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. doi.org/10.1007/978-3-030-14302-2_1.
Ivanov, D., Pavlov, A., Sokolov, B. (2019). Performance Impact Analysis of Disruption Propagations in the Supply Chain. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. doi.org/10.1007/978-3-030-14302-2_8.
Ivanov, D., Rozhkov, M. (2019). Disruption Tails and Revival Policies in the Supply Chain. In: Ivanov, D., Dolgui, A., Sokolov, B. (eds) Handbook of Ripple Effects in the Supply Chain. International Series in Operations Research & Management Science, vol 276. Springer, Cham. doi.org/10.1007/978-3-030-14302-2_12.
Ivanov, D., Sokolov, B. Simultaneous structural–operational control of supply chain dynamics and resilience. Ann Oper Res 283, 1191–1210 (2019). doi.org/10.1007/s10479-019-03231-0.
Ivanov, Dmitry & Dolgui, Alexandre & Das, Ajay & Sokolov, Boris. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. doi.org/10.1007/978-3-030-14302-2_15.
Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris & Ivanova, Marina. (2019). Intellectualization of control: cyber-physical supply chain risk analytics. IFAC-PapersOnLine. 52. 355-360. doi.org/10.1016/j.ifacol.2019.11.146.
Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris. (2019). Handbook of Ripple Effects in the Supply Chain, Springer International Publishing Verlag, ISBN 978-3-030-14301-5.
Ivanov, Dmitry & Dolgui, Alexandre. (2019). New disruption risk management perspectives in supply chains: digital twins, the ripple effect, and resileanness. IFAC-PapersOnLine. 52. 337-342. doi.org/10.1016/j.ifacol.2019.11.138.
Ivanov, Dmitry & Hosseini, Seyedmohsen & Dolgui, Alexandre. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E Logistics and Transportation Review. 125. 285-307. doi.org/10.1016/j.tre.2019.03.001.
Ivanov, Dmitry & Rozhkov, Maxim. (2019). Disruption tails and post-disruption instability mitigation in the supply chain. IFAC-PapersOnLine. 52. 343-348. doi.org/10.1016/j.ifacol.2019.11.140.
Ivanov, Dmitry & Sokolov, Boris. (2019). A Model of an Integrated Analytics Decision Support System for Situational Proactive Control of Recovery Processes in Service-Modularized Supply Chain. doi.org/10.1007/978-3-030-14302-2_6.
Jahani, H., Alavi Fard, F., Ivanov, D., Ghasemishabankareh, B. (2019). Managing the risk of supply chain bankruptcy in supply chain network redesign. In: Ivanov, D., Dolgui, A., Yalaoui, F. (Hrsg.). 9th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2019 Berlin, Germany, 28-30 August 2019. ***: Elsevier, IFAC Publisher. (=IFAC-PapersOnLine Volume 52, Issue 13). S. 2431 – 2436, Print-ISBN: 2405-8963. doi.org/10.1016/j.ifacol.2019.11.571.
Kayser, L., Müller, R., Kronsbein, T. (2019). Data Collection Map: A Canvas for Shared Data Awareness in Data-Driven Innovation Projects. Proceedings of the Pre-ICIS SIGDSA Symposium on Inspiring mindset for Innovation with Business Analytics and Data Science. S. 1-17. aisel.aisnet.org/sigdsa2019/18
Kinra, Aseem & Ivanov, Dmitry & Das, Ajay & Dolgui, Alexandre. (2019). Ripple effect quantification by supplier risk exposure assessment. International Journal of Production Research. 58. 1-20. doi.org/10.1080/00207543.2019.1675919.
Kirch, J., Eisenbart, B., Wiesner, H. (2019). Computer Supported Collaborative Work -- Teaching Transformative Technology And Participation. In: Gómez Chova, L., López Martínez, A., Candel Torres, I. (Hrsg.). INTED 2019 Proceedings. 13th International Technology, Education and Development Conference. Valencia, Spain, 11-13 March, 2019. ES-Valencia: IATED Academy. S. 6611 – 6619, Print-ISBN: 978-84-09-08619-1.
Kirchner, K., Lemke, C. (2019). MOOCs als disruptive Innovation für die akademische Bildung. In: Barton, T., Müller, C., Seel, C. (eds) Hochschulen in Zeiten der Digitalisierung. Angewandte Wirtschaftsinformatik. Springer Vieweg, Wiesbaden. doi.org/10.1007/978-3-658-26618-9_15.
Kronsbein, T., & Müller, R.M. (2019). Data Thinking: A Canvas for Data-Driven Ideation Workshops. Hawaii International Conference on System Sciences. doi.org/10.24251/HICSS.2019.069.
Lecuna, Alejandro & Thoring, Katja & Mueller, Roland. (2019). The Idea Arc: Designing a Visual Canvas for Fuzzy Ideas. doi.org/10.24251/HICSS.2019.068.
Lemke, C., Kirchner, K., Faustmann, G., & Monett, D. (2019). New Frontiers of Digital Learning Platforms: A Workshop about Digital Education Ethics. In Proceedings of the conference Strategies Beyond Borders – Transforming Higher Education in a Digital Age, pp. 14-15. Hochschulforum Digitalisierung. Berlin, December 9th-10th, 2019.
Letzel, W. H., Schmietendorf, A. (2019). Digitalisierung und Mediation aus der Anwenderperspektive, in Journal Perspektive Mediation – Beiträge zur Konfliktkultur, S. 4-10, Heft 1/2019, Verlag Österreich, Deutschland, Österreich, Schweiz, ISSN 1814-3695.
Löcher, M. (2019). Type S Errors in Multi-Armed Bandits. In: SSRN eLibrary. S. 1 – 4, Print-ISSN: 0000-0000. doi.org/dx.doi.org/10.2139/ssrn.3464959.
Lohse, Tim & Qari, Salmai. (2021). Gender differences in face-to-face deceptive behavior. Journal of Economic Behavior & Organization. 187. 1-15. doi.org/10.1016/j.jebo.2021.03.026.
Lukyanenko, R., Larsen, K.R., Parsons, J., Gefen, D., Mueller, R.M. (2019). Toward creating a general ontology for research validity. In: International Conference on Conceptual Modeling, Salvador, Brazil, pp. 133–137.
Monett, D., & Winkler, C. (2019). Using AI to Understand Intelligence: The Search for a Catalog of Intelligence Capabilities. In: M. Alam, V. Basile, F. Dell'Orletta, M. Nissim, & N. Novielli (eds.), Proceedings of the 3rd Workshop on Natural Language for Artificial Intelligence, NL4AI 2019, 2521: 1-15, CEUR-WS, co-located with the 18th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2019, November 19th-22nd, 2019, Rende, Italy (ISSN: 1613-0073).
Monett, D., Hoge, L., & Lewis, C. W. P. (2019). Cognitive Biases Undermine Consensus on Definitions of Intelligence and Limit Understanding. In: U. Furbach, S. Hölldobler, M. Ragni, R. Rzepka, C. Schon, J. Vallverdu, & A. Wlodarczyk (eds.), Joint Proceedings of the Workshops on Linguistic and Cognitive Approaches to Dialog Agents (LaCATODA 2019) and on Bridging the Gap Between Human and Automated Reasoning (BtG 2019), 2452: 52-59, CEUR-WS, co-located with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, August 10th-16th, 2019, Macao, China (ISSN: 1613-0073).
Mueller, Roland & Abdullaev, Sardor. (2019). DeepCause: Hypothesis Extraction from Information Systems Papers with Deep Learning for Theory Ontology Learning. doi.org/10.24251/HICSS.2019.752.
Nadobny, K., Schmietendorf, A. (2019). Deutschsprachige Umfrage zur API-Sicherheit, in Berliner Schriften zu modernen Integrationsarchitekuren, S. 75-84, Shaker-Verlag, Aachen.
Packham, N., Woebbeking, F. (2019). A factor-model approach for correlation scenarios and correlation stress testing. In: Journal of Banking & Finance. H. 101 (April 2019). S. 92 – 103, Print-ISSN: 0378-4266. doi.org/10.1016/j.jbankfin.2019.01.020.
Panetto, Hervé & Iung, Benoit & Ivanov, Dmitry & Weichhart, Georg & Wang, Xiaofan. (2019). Challenges for the Cyber-Physical Manufacturing Enterprises of the Future. Annual Reviews in Control. 47. doi.org/10.1016/j.arcontrol.2019.02.002.
Peter, Patrick & Baumann, Sabine (2019). Origins, Evolution, and Prospects of Digital Business Transformation: A Bibliometric Analysis, Proceedings of the 10th European (EDSI) Decision Sciences Institute Conference ‘Decision Sciences in a connected World’, Nottingham (UK).
Resch, O. & Yankova, A., (2019). Open Digital Assistant Framework – ein quelloffenes Framework für projektbasierte digitale Assistenten. In: Linssen, O., Mikusz, M., Volland, A., Yigitbas, E., Engstler, M., Fazal-Baqaie, M. & Kuhrmann, M. (Hrsg.), Projektmanagement und Vorgehensmodelle 2019 - Neue Vorgehensmodelle in Projekten - Führung, Kulturen und Infrastrukturen im Wandel. Bonn: Gesellschaft für Informatik e.V.. (S. 199-206).
Resch, O. (2019). OKI ein digitaler Assistent für wissenschaftliche Arbeiten. In: Die Neue Hochschule - DNH. H. 4/2019. S. 28 – 30, Print-ISSN: 0340-448X.
Resch, O., Yankova, A. (2019). Open knowledge interface: a digital assistant to support students in writing academic assignments. In: Vanderose, B., Frénay, B., Henry, J., Devroey, X. (Hrsg.). EASEAI 2019. Proceedings of the 1st ACM SIGSOFT International Workshop on Education through Advanced Software Engineering and Artificial Intelligence. US-New York: Association for Computing Machinery. S. 13 – 16, Print-ISBN: 978-1-4503-6852-0. doi.org/10.1145/3340435.3342723
Schmietendorf, A. (2019). Möglichkeiten von Web API Spezifikationen im Software Reengineering, akzeptierter Vortrag im Rahmen des 21. Workshops Software-Reengineering & Evolution (WSRE 2019), Bad-Honnef, 06.-08.
Schmietendorf, A. (2019). Open API Spezifikationen des TM Forums – Die Telco-Branche als Vorreiter einer digitalisierten Welt, Vortrag im Rahmen der Enterprise Computing Conference (ECC 2019), Hamburg, 04. April 2019.
Schmietendorf, A. (2019). Workshop “Evaluation of Service-APIs – ESAPI 2018“ Service APIs als Enabler einer erfolgreichen Digitalisierung (detaillierter Bericht), in Software Measurement News – Journal of the Software Metrics Community, S. 10-13, Volume 24, Number 1, March 2019, ISSN 1867-9196.
Schmietendorf, A. (2019). Open API - API-Management - IT-Security. Workshops im Rahmen der Enterprise Computing Conference, 04. April 2019, Hamburg.
Schmietendorf, A. (Hrsg.) (2019). ESAPI 2019 – 3. Workshop Evaluation of Service-APIs, Dresden – 07. November 2019, in Berliner Schriften zu modernen Integrationsarchitekuren, Shaker-Verlag, Aachen, ISBN 978-3-8440-6837-5.
Stein, H., Fischer, S., Pohlink, C. (2019). Adversarial AI: Wie können wir Gefahren für KI-Anwendungen durch feindliche. Angriffe erkennen und ihnen entgegenwirken? In: Blick in die Blackbox: Nachvollziehbarkeit von KI-Algorithmen in der Praxis. Bitkom: https://www.bitkom.org/Bitkom/Publikationen/Blick-in-die-Blackbox-Nachvollziehbarkeit-von-KI-Algorithmen-in-der-Praxis.
Thoring, Katja & Mueller, Roland & Badke-Schaub, Petra & Desmet, Pieter. (2019). An Inventory of Creative Spaces: Innovative Organizations and their Workspace. Proceedings of the Design Society: International Conference on Engineering Design. 1. 39-48. https//doi.org/10.1017/dsi.2019.7.
Thoring, Katja & Mueller, Roland & Badke-Schaub, Petra. (2019). Exploring the Design Space of Innovation Canvases. Conference Proceedings of the Academy for Design Innovation Management. 2. doi.org/10.33114/adim.2019.06.243.
Tran, Ngoc & Osipenko, Maria & Härdle, Wolfgang Karl. (2014). Principal Component Analysis in an Asymmetric Norm. SSRN Electronic Journal. doi.org/10.2139/ssrn.2854822.
Trofimova, I., Sokolov, B., Ivanov, D. (2019). Multiple-Model Description and Control Construction Algorithm of Supply Chain. In: Silhavy, R. (eds) Cybernetics and Algorithms in Intelligent Systems . CSOC2018 2018. Advances in Intelligent Systems and Computing, vol 765. Springer, Cham. doi.org/10.1007/978-3-319-91192-2_11.
Wiesner, H., Monett Diaz, D. (2019). Transformative Technologies in Education: Robotics in Learning Scenarios under the Criteria of Gender and Diversity. In: Gómez Chova, L., López Martínez, A., Candel Torres, I. (Hrsg.). INTED 2019 Proceedings. 13th International Technology, Education and Development Conference. Valencia, Spain, 11-13 March, 2019. ES-Valencia: IATED Academy. S. 6769 – 6776, Print-ISBN: 978-84-09-08619-1. doi.org/10.21125/inted.2019.1650.
Wiesner, H., Tripp, I., Schütze, J., Erol, E. (2019). Digitale Souveränität und Geschlecht -- das geht uns alle an! In: ksoe Dossier. H. 1/2019: digital + geschlechtergerecht. S. 10 – 15, Print-ISSN: 0000-0000.
YuehChen, Hsi & Das, Ajay & Ivanov, Dmitry. (2019). Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry. International Journal of Information Management. 49. 330-342. doi.org/10.1016/j.ijinfomgt.2019.06.002.
Baumann, Sabine (2018). Supply network design for Industry 4.0: Lessons learned from German manufacturing industries, Proceedings of the 25th EurOMA Conference "To Serve, to Produce and to Servitize in the Era of Networks, Big Data, and Analytics.", Budapest (Ungarn).
Baumann, Sabine (2018). Value creation networks for Industry 4.0: best practices in German manufacturing industries, Proceedings of the 2018 Annual Meeting of the Decision Sciences Institute, Chicago (USA), S. 1647- 1659.
Dolgui, Alexandre & Ivanov, Dmitry & Sethi, Suresh & Sokolov, Boris. (2018). Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications. International Journal of Production Research. 57. 1-22. doi.org/10.1080/00207543.2018.1442948.
He, Jian & Alavi Fard, Farzad & Ivanov, Dmitry & Jahani, Hamed. (2018). A Real-Option Approach to Mitigate Disruption Risk in the Supply Chain. Omega. 88. doi.org/10.1016/j.omega.2018.08.008.
Ivanov, Dmitry & Dolgui, Alexandre. (2018). Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience. International Journal of Production Research. 1-18. doi.org/10.1080/00207543.2018.1521025.
Ivanov, Dmitry. (2018). Disruption tails and revival policies: A simulation analysis of supply chain design and production-ordering systems in the recovery and post-disruption periods. Computers & Industrial Engineering. 127. doi.org/10.1016/j.cie.2018.10.043.
Lewis, C. W. P., & Monett, D. (2018). Text Analysis of Unstructured Data on Definitions of Intelligence. In: Proceedings of The 2018 Meeting of the International Association for Computing and Philosophy, IACAP 2018, pp. 1-12, June 21st-23rd, 2018, Warsaw, Poland.
Löcher, M. (2018). Are Multi-Armed Bandits Susceptible to Peeking? In: Zagreb International Review of Economics and Business. Bd. 21. H. 1. S. 95 – 104, Print-ISSN: 1331-5609, Online-ISSN: 1849-1162. doi.org/10.2478/zireb-2018-0004.
Lohse, T., Qari, S. (2018). Video Recordings in Experiments -- Are There Effects on Self-Selection or the Outcome of the Experiment? Berlin: Deutsches Institut für Wirtschaftsforschung (DIW). (=DIW Berlin Discussion Papers 1751). Online-ISSN: 1619-4535.
Baumann, Sabine & Brüning, Hendrikje (2017). Attention, crowd: We need your money! Startups’ communicative appearances on crowdfunding platforms. In: Friedrichsen, Mike & Kamalipour, Yahya (Hrsg.) Digital Transformation in Journalism and News Media, Springer, Berlin, S. 107-114.
Baumann, Sabine & Eulenstein, Oliver & Wunck, Christoph (2017). Digitalisierte Wertschöpfungsarchitekturen im Spannungsfeld von Standardisierung und Flexibilisierung – Eine Untersuchung am Beispiel der Kunststoffbranche. In: Winkler, Herwig & Berger, Ulrich & Mieke, Christian & Schenk, Michael (Hrsg.) Flexibilisierung der Fabrik im Kontext von Industrie 4.0, Logos Verlag, Berlin, S. 185-206.
Baumann, Sabine & Hasenpusch, Tim (2017). Strategic Venturing: Corporate Venture Capital Approaches of TIME Incumbents. In: International Journal on Media Management, Vol.19, No.1: Special Issue on Media Entrepreneurship, S. 70-100.
Baumann, Sabine & Runge, Fabian (2017). Implementation of Social Media as a Knowledge Catalyst. In: Friedrichsen, Mike & Kamalipour, Yahya (Hrsg.) Digital Transformation in Journalism and News Media, Springer, Berlin, S. 305-318.
Elkina, M. (2017). Learning Analytics for Student's Motivation. NPSE 2017. New Perspectives in Science Education, 6th International Conference Edition, Florence, Italy, 16-17 March, 2017. ES-Barcelona: Libreria Universitaria. S. 192 – 196, Print-ISBN: 978-88-6292-847-2.
Hristova, D., Probst, P., Eckrich, E. (2017). RatingBot: A Text Mining Based Rating Approach, 38th International Conference on Information Systems (ICIS), Seoul, South Korea, 10-13 Dezember, 2017.
Von Saucken, A. M., Seifert, B., Zirk, A. (2017). Handlungsorientierte Fehleranalysen der Mensch- Maschine-Interaktion im OP-Saal in Marschner, U., Clasbrummel, B., Dehm, J. (Hrsg). Biomedizinische Technik – Vernetzte und intelligente Implantate. De Gruyter.
Wunck, Christoph & Baumann, Sabine (2017). Towards a Process Reference Model for the Information Value Chain in IoT Applications. In: Proceedings of the 2017 IEEE European Technology and Engineering Management Summit (E-TEMS) Digital Transformation for Advanced Manufacturing – Managing Technological Challenges, München, S. 1-6. IEEE Xplore.
Baumann, Sabine & Eulenstein, Oliver & Wunck, Christoph (2016). To standardize or not to standardize? Efficiency and differentiation challenges in smart manufacturing networks, Proceedings of the 23rd EurOMA Conference, Trondheim (Norwegen).
Baumann, Sabine & Hasenpusch Tim (2016). Multi-Platform Television and Business Models: A Babylonian Clutter of Definitions and Concepts. In: Westminster Papers in Communication and Culture, Special Issue on Managing Disruptiveness as the New Normal.
Baumann, Sabine & Rohn, Ulrike (2016). Meet the Predators: The Branding Practices behind Dragons’ Den, Shark Tank and Höhle der Löwen. In: VIEW Journal of European Television History & Culture, Vol 5, No 9: TV Formats and Format Research: Theory, methodology, history and new developments, S. 105−115.
Elkina, M., Ilyasov, I., Nagibina, N. L. (2016). Fernstudium in Russland und Deutschland <russisch>. In: Человек. Искусство. Вселенная <russisch>. Bd. 3. H. 1. S. 84 – 91,Print-ISSN: 2411-5916.
Hasenpusch, Tim C. & Baumann, Sabine (2016). Strategic Media Venturing: Private Equity Investments as a Strategic Tool for Media Firms. In: Weber, Yaakov & Tarba, Shlomo Y. (Hrsg.) Mergers and Acquisitions, Entrepreneurship and Innovation, Technology, Innovation, Entrepreneurship and Competitive Strategy, Volume 15, Emerald, Bingley (UK), S. 77-110.
Heinrich, B. und Hristova, D. (2016). A Quantitative Approach for Modeling the Influence of Currency of Information on Decision Making under Uncertainty, Journal of Decision Systems, 25(1), 16-41.
Baumann, Sabine & Flegel, Monica (Hrsg.) (2015) All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World, Inter-Disciplinary Press: Oxford (UK).
Baumann, Sabine (2015). Media branding from an organizational and management-centered perspective. In: Siegert, Gabriele & Förster, Kati & Chan-Olmsted, Sylvia & Ots, Mart (Hrsg.) Handbook of Media Branding, Springer, Berlin, S. 65-80.
Baumann, Sabine (2015). Transforming Safety in Cyberspace: Passenger Announcements off the Ground. In: Baumann, Sabine & Flegel, Monica (Hrsg.) (2015) All the World’s a Stage: Theorizing and Producing Blended Identities in a Cybercultural World, InterDisciplinary Press: Oxford (UK), S. 61-76.
Monett Diaz, D., Elkina, M. (2015). E-Learning Adoption in a Higher Education Setting: An Empirical Study. Proceedings of the Multidisciplinary Academic Conference on Education, Teaching and Learning 2015, MAC-ETL 2015, Friday - Sunday, December 4-6, 2015. CZ-Prague: Academic Conferences Association, z.s. S. 1 – 8, Print-ISBN: 978-80-88085-04-1.
Rohn, Ulrike & Baumann, Sabine (2015). Media Brands in Social Network Sites: Problems German media companies have faced and the lessons learned. In: Journal of Brand Strategy, Bd. 4, Nr. 1, S.70-82.
Baumann, Sabine & Eulenstein, Oliver (2014). Big Guys and Big Data: Mining Shareholder Interaction Networks of Transnational Media Companies with Weighted QuasiBicliques. In: Kundisch, Dennis & Suhl, Leena & Beckmann, Lars (Hrsg.) Tagungsband Multikonferenz Wirtschaftsinformatik 2014 (MKWI 2014), Universität Paderborn, Paderborn, S. 181-193.
Baumann, Sabine & Hasenpusch, Tim Ch. (2014). Konvergierende Technologien - Konvergierende Geschäftsmodelle: Hybrid TV und Multiscreen. In: Goutrié, Christine; Falk-Bartz, Sabine; Wuschig, Ilona (Hrsg.) Think CROSS - Change MEDIA. Crossmedia im Jahr 2014 - Eine Standortbestimmung, bod: Berlin, S. 11-27.
Baumann, Sabine & Rohn, Ulrike (2014). Still a Long Way to Go: Media Branding in Social Network Sites. In: Moser, Dennis & Dun, Susan (Hrsg.) A Digital Janus: Looking Forward, Looking Back, Inter-Disciplinary Press, Oxford (UK), S. 135-151.
Baumann, Sabine (2014). Conquest of Paradise? Crowdsourcing in Social Media Networks. In: Maj, Anna (Hrsg.) Post-Privacy Culture: Gaining Social Power in Cyber-Democracy, Inter-Disciplinary Press, Oxford (UK), S. 41-53.
Elkina, M. (2014). Analysis of eLearning Courses with the help of a Learning Analytics Tool. In: Papanikos, G. (Hrsg.). ATINER's Conference Paper Series. Athen - EL: The Athens Institute for Education and Research. (=ATINER's Conference Paper Series EDU2014 - 0979). S. 3 – 10, Print-ISBN: 2241-2891.
Baumann, Sabine (2013). Adapting to the Brave New World: Innovative Organisational Strategies for Media Companies. In: Storsul, Tanja & Krumsvik, Arne Håskjold (Hrsg.) Media Innovations, Nordicom: Oslo, S. 77-92.
Baumann, Sabine (2013). Gold Rush 2.0? Crowdsourcing in Social Media Networks. In: Maj, Anna (Hrsg.) Cyberculture Now: Social and Communication Behaviours on the Web, Inter-Disciplinary Press, Oxford (UK), S. 41-54.
Brand, F. (2013). Komplexe Systeme. Neue Ansätze und zahlreiche Beispiele. München: Oldenbourg Verlag. Print-ISBN: 978-3-486-58391-5.
Von Saucken, A., Prümper, J., Kraft M. (2013_a). Evaluation Of Human Errors And Malfunctions For Minimal Invasive Surgeries In Conventional and Integrated OR Solutions. In: Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care, Baltimore, 2013, ISSN 2327-8579, S. 90-91.
Von Saucken, A., Seifert, B., Strauß, G., Prümper, J., Kraft M. (2013_b). Problems of Use in the View of Increasing Automation in Operating Theatres for ENT Fess Surgery. BMT 2013: 47. DGBMT Jahrestagung. In: Biomedical Engineering, Walter de Gruyter, Berlin, 2013, ISBN 0013-5585, ISSN 1862-278X, S. 4229-4230.