Publikationen

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

Hristova, D. (2022). Transformer-based Summarization and Sentiment Analysis of SEC 10-K Annual Reports for Company Performance Prediction.

Ivanov, D. (2022). 5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything.

Ivanov, D. (2022). A Multi-Layer Bayesian Network Method for Supply Chain Disruption Modelling in the Wake of the COVID-19 Pandemic.

Ivanov, D. (2022). Adapting supply chain operations in anticipation of and during the COVID-19 pandemic.

Ivanov, D. (2022). Cloud supply chain: Integrating Industry 4.0 and digital platforms in the "Supply Chain-as-a-Service.

Ivanov, D. (2022). Food Retail Supply Chain Resilience and the COVID-19 Pandemic: A Digital Twin-Based Impact Analysis and Improvement Directions.

Khan, A. ; Birkenkrahe, M. (2022). Development of a Usability Testing procedure for Process Mining Tools. In: International Journal of Data Science (in press).

Osipenko, M. (2022). Inferring learners’ affinities from course interaction data.

Packham, N. (2022). Hedging Cryptos with Bitcoin Futures.

Schaal, M. ; Müller, R. (2022). Multi-National Topics Maps for Parliamentary Debate Analysis.

Schmietendorf, A. (2022). KI-Algorithmen über Web- APIs im Software Engineering – KI-Web-APIs.

Wiesner, H. (2022). Digital teaching formats with and for teachers in the health care sector: It does not work without real participation!

Wiesner, H. (2022). Digital transformation in the health care sector: Benefits through digital technologies & participation.

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
Print-ISSN: 0925-5273
DOI: doi.org/10.1016/j.ijpe.2021.108103

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: 10.1628/jite-2020-0044 (published online: 12.10.2020)

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

Fischer, S. (2021). Aus Versehen verzerrt.

Fischer, S. (2021). Verantwortungsvolle und robuste KI in Unternehmen.

Fischer, S. ; Surma, S. ; Blind, K. (2021). The Influence of Links to Parental (Research) Organization on Survival of Research-Based Spin-Off Ventures. ISPIM Conference Proceedings; Manchester

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: doi.org/10.1016/j.ijinfomgt.2020.102281

Hristova, D., Khan, S. K. (2021): SumExp: A Summarization-Based Approach for Explaining NLP Models, 41th International Conference on Information Systems (ICIS), Austin, USA, 12-15 Dezember, 2021 (upcoming).

Hsieh, H.-T., Hristova, D. (2021): Transformer-based Summarization and Sentiment Analysis of SEC 10-K Annual Reports for Company Performance Prediction, 55th Hawai’i International Conference on System Sciences (HICSS), Hawaii, 4-7 Januar, 2022 (upcoming).

Ivanov, D. (2021). A control approach to scheduling flexibly configurable jobs with dynamic structural-logical constraints.

Ivanov, D. (2021). Competitive pricing of substitute products under supply disruption.

Ivanov, D. (2021). Global Supply Chain and Operations Management. A Decision-Oriented Introduction to the Creation of Value.

Ivanov, D. (2021). Increasing supply chain resilience through efficient redundancy allocation: a risk-averse mathematical model.

Ivanov, D. (2021). Introduction to Supply Chain Resilience.

Ivanov, D. (2021). Machine learning in manufacturing and Industry 4.0 applications.

Ivanov, D. (2021). Ripple Effect and Supply Chain Disruption Management: New Trends and Research Directions.

Ivanov, D. (2021). Supply Chain Resilience and its Interplay with Digital Technologies: Making innovations work in emergency situations.

Ivanov, D. (2021). Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies.

Ivanov, D. (2021). Supply Chain Viability: Conceptualization, Measurement, and Nomological Validation.

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: doi.org/10.1080/09537287.2020.1768450 (published online: 21 May 2020) (OA)

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: 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: doi.org/10.1080/00207543.2020.1798035 (published online: 25 Aug 2020)

Lemke, C. ; Monett Diaz, D. (2021). The Changing Landscape of Digital Technologies for Learning.

Lemke, C. ; Monett Diaz, D. (2021). AI-ware: Bridging AI and Software Engineering for responsible and sustainable intelligent artefacts.

Lemke, C. ; Monett Diaz, D. (2021). Digitale Ethik in datengetriebenen Organisationen und deren Anwendung am Beispiel von KI-Ethik.

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: 10.1007/978-3-658-32849-8 (!!! im Erscheinen !!!)

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

Löcher, M. (2021).  Data-driven advice for interpreting local and global model predictions in bioinformatics problems.

Löcher, M. (2021).  The Perils of Misspecified Priors and Optional Stopping in Multi-Armed Bandits. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299077/

Monett Diaz, D. (2021). The Intelligence Corpus, an Annotated Corpus of Definitions of Intelligence: Annotation, Guidelines, and Student Research Projects.

Monett Diaz, D. (2021). Will Robots Take all the Jobs? Not yet.

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

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:https://doi.org/10.1145/3449726.3459488

Müller, R. (2021). Realizing Value with Data and Analytics: A Structured Literature Review on Classification Approaches of Data-Driven Innovations.

Müller, R. (2021).Research Method Classification with Deep Transfer Learning for Semi-Automatic Meta-Analysis of Information Systems Papers.

Müller, R. (2021). The architecture of creativity: Toward a causal theory of creative workspace design.

Osipenko, M. (2021). Directional assessment of traffic flow extremes.

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: doi.org/10.1007/s43546-021-00057-6 (published online: 25 March 2021 / OA)

Packham, N. (2021). Correlation scenarios and correlation stress testing.

Packham, N. (2021). Hedging cryptocurrency options.

Qari, S. (2021). DySiMo Dokumentation: Version 1.0.

Qari, S. (2021). Gender Differences in Face-to-Face Deceptive Behavior.

Qari, S. (2021). Soziale Interaktion und geschlechtsspezifisches Wettbewerbsverhalten.

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: 10.1007/978-3-658-30936-7

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

Schmietendorf, A. (2021). Bericht zum Online-Workshop (e) trust – Vertrauen in Digitale Dienste (Werte – Risiken – Prinzipien – Methoden – Techniken).

Schmietendorf, A. (2021).  Online-Workshop (e) trust. Vertrauen in Digitale Dienste (Werte – Risiken – Prinzipien – Methoden – Techniken).

Schmietendorf, A. (2021). Evalution of Service-APIs – ESAPI 2020 – Motto: APIs als Klebstoff einer allumfassenden Digitalisierung.

Schmietendorf, A. (2021). Trust Pattern in Modern Web-API based Service Architectures – more than technical security aspects.

Schmietendorf, A. (2021).  Vertrauenswürdige KI-Dienste.

Wiesner, H. (2021). On Caring Bits and Digital Snacks - Doing Participatory Research within the Care Sectorin times of Crisis.

Zellhöfer, D. (2021). “Gewissensbits- Wie würden Sie urteilen?, Fallbeispiel: Barrierefreiheit mit Nachnutzung”.

Zellhöfer, D. (2021). Agilität und Weltkulturerbe – Erfahrungen mit sieben Jahren agilen Methoden an der Staatsbibliothek zu Berlin – Eine Fallstudie II/II.

Zellhöfer, D. (2021). Agilität und Weltkulturerbe – Erfahrungen mit sieben Jahren agilen Methoden an der Staatsbibliothek zu Berlin – Eine Fallstudie I/II.

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 (online veröffentlicht: 21.12.2020)

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. (2020). Das erste Online-Seminar vorbereiten.

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

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: 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: 10.21125/inted.2020.1528

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: 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. arXiv preprint arXiv:2012.12537.

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: doi.org/10.1088/1748-9326/aba716 (published online: 22 September 2020)

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

Ivanov, D. (2020). "A blessing in disguise" or "as if it wasn't hard enough already": Reciprocal and aggravate vulnerabilities in the supply chain. 

Ivanov, D. (2020). Bayesian Networks for Supply Chain Risk, Resilience and Ripple Effect Analysis: A Literature Review.

Ivanov, D. (2020). Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain.

Ivanov, D. (2020). Coordination of production and ordering policies with consideration of capacity disruption and product write-off risk: An analytical study with real-data based simulations of a fast moving consumer goods company.

Ivanov, D. (2020).  Coronavirus (COVID-19 / SARS-CoV-2) and supply chain resilience: A research note.

Ivanov, D. (2020).  Dual sourcing under supply disruption with risk-averse suppliers.

Ivanov, D. (2020). Editorial to the Special Issue on Operations Research Models for Supply Chain Finance.

Ivanov, D. (2020). Exploring supply chain structural dynamics: New disruptive technologies and disruption risks.

Ivanov, D. (2020). Integrated scheduling of information services and logistics flows in the omnichannel system.

Ivanov, D. (2020). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics.

Ivanov, D. (2020). Introduction to scheduling in Industry 4.0 and cloud manufacturing systems.

Ivanov, D. (2020). Manufacturing Modelling, Management and Control: IFAC TC 5.2 past, present and future.

Ivanov, D. (2020). Optimal divestment time in supply chain redesign under oligopoly: evidence from shale oil production plants.

Ivanov, D. (2020). Predicting the impact of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19 / SARS-CoV-2) case.

Ivanov, D. (2020). Proactive scheduling and reactive real time control in Industry 4.0.

Ivanov, D. (2020). Reconfigurable supply chain: The X-Network.

Ivanov, D. (2020). Ripple effect modeling of supplier disruption: Integrated Markov Chain and Dynamic Bayesian Network Approach.

Ivanov, D. (2020). Ripple effect quantification by supply risk exposure assessment.

Ivanov, D. (2020). Scheduling in Industry 4.0 and Cloud Manufacturing.

Ivanov, D. (2020). Viability of Intertwined Supply Networks: Extending the Supply Chain Resilience Angles towards Survivability. A Position Paper Motivated by COVID-19 Outbreak.

Ivanov, D. (2020). Viable Supply Chain Model: Integrating agility, resilience and sustainability perspectives -- lessons from and thinking beyond the COVID-19 pandemic.

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: doi.org/10.1016/j.eswa.2020.113342 (published online 26 February 2020)

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: doi.org/10.1007/978-3-030-64823-7_25 (published online: 01 December 2020)

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: doi.org/10.1017/dsd.2020.305 (published online: 11 June 2020)

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: 10.5771/9783748905318-165

Lemke, C. (2020). Digitalisierung im Spannungsfeld von Technologie und Management.

Lemke, C. ; Monett Diaz, D. (2020). Evaluating a Pattern Language for Scientific Texts in Higher Education.

Lemke, C ; Monett Diaz, D. (2020). KI und Automatisierung: Wirkung auf die Arbeit der Zukunft.

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

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

Löcher, M. (2020). Unbiased variable importance for random forests. In: Communications in Statistics - Theory and Methods. S. 1 - 13
DOI: doi.org/10.1080/03610926.2020.1764042 (published online: 14 May 2020)

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 Diaz, D. (2020). Definitional Foundations for Intelligent Systems, Part I: Quality Criteria for Definitions of Intelligence.

Monett Diaz, D. (2020). Definitional Foundations for Intelligent Systems, Part II: Constructing a Definition and Examples.

Monett Diaz, D. (2020). Intelligence Catalog-guided Tracking of the Evolution of (machine) Intelligence: Preliminary results.

Monett Diaz, D. (2020). Introduction to the JAGI Special Issue "On Defining Artificial Intelligence" -- Commentaries and Author's Response.

Müller, R. (2020). Workshops as a Research Method: Guidelines for Designing and Evaluating Artifacts Through Workshops.

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

Resch, O. (2020). Agile Verfahren und Vergaberecht.

Resch, O. (2020). Blended Learning an einer öffentlichen Hochschule.

Resch, O. (2020). Digitalisierung und zukünftige Managementkompetenzen.

Resch, O. (2020). Editorial.

Resch, O. (2020). Einführung in das IT-Management - Grundlagen, Umsetzung, Best Practice.

Resch, O. (2020). Hochschul-Datenschutz in Zeiten der Digitalisierung.

Resch, O. (2020). Implizite Praxiskooperationen in der IT-Lehre und -Forschung.

Resch, O. (2020). Lasst uns Programmieren lernen!

Resch, O. (2020). Open Knowledge Interface (OKI) Ein digitaler Assistent für wissenschaftliche Arbeiten.

Resch, O. (2020). Students model Start-Up Processes - An Embedded Approach to Entrepreneurship Education.

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. (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, A. (2020). Enterprise Computing Conference ECC 2020 in Köln - Transormationen im Unternehmenskontext (detaillierter Bericht-Nachdruck).

Schmietendorf, A. (2020). Entwicklung smarter Anwendungen mit Hilfe cloudbasiert angebotener KI-Algorithmen.

Schmietendorf, A. (2020). Implizite Praxiskooperationen in der IT-Lehre und -Forschung.

Schmietendorf, A. (2020). Künstliche Intelligenz mit Web APIs -- Marktplätze für KIAlgorithmen.

Schmietendorf, A. (2020). Proceedings. Enterprise Computing Conference 2020 -- Ausgewählte Ergebnisse der Podiumsdiskussion, Diskussionsrunden und Workshops.

Schmietendorf, A. (2020). Proceedings. Enterprise Computing Conference 2020 -- Ausgewählte Ergebnisse der Podiumsdiskussion, Diskussionsrunden und Workshops.

Schmietendorf, A. (2020). Sicherheits- und Compliance-Management im Lebenszyklus von Web-APIs.

Schmietendorf, A. (2020). Towards An Empirical Analysis Of Trustworthiness Attributes In The Context of Digitalization.

Schmietendorf, A. (2020). Transformationen im Unternehmenskontext detaillierter Bericht zur Enterprise Computing Conference ECC 2020 Köln.

Schmietendorf, A. (2020). Öffentlich angebotene Daten und Funktionen (Open Data/Open APIs) als Rückgrat des digitalen Wandels in den deutschen Behörden -- eine Bestandsaufnahme.

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: doi.org/10.24251/HICSS.2020.052

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: doi.org/10.1017/dsd.2020.19 (published online: 11 June 2020)

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
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