Document Actions

Publications

Peer Reviewed Journals

 

  • Axenbeck, Janna und Patrick Breithaupt (2021), Innovation Indicators Based on Firm Websites: Which Website Characteristics Predict Firm-Level Innovation Activity?, PLOS ONE Volume 16, Issue 4. Download
  • Bär D, Pröllochs N, Feuerriegel S (2023), Finding Qs: Profiling QAnon Supporters on Parler, Proceedings of the International Conference on Web and Social Media (ICWSM)
  • Becker, Michel, Oscar Stolper und Andreas Walter (2022), The Impact of Mobile Banking Adoption on Retail Banking in Germany, Zeitschrift für das gesamte Genossenschaftswesen, 72 
  • Becker, Michel, Oscar Stolper und Andreas Walter (2023), What Drives Mobile Banking Adoption? – An Empirical Investigation Using Transaction Data, Zeitschrift für Bankrecht und Bankwirtschaft, 34
  • Bertschek, Irene, Joern Block, Alexander Kritikos und Caroline Stiel (2023), German Financial State Aid During COVID-19 Pandemic: Higher Impact Among Digitalized Self-Employed, Entrepreneurship & Regional Development. DOI: 10.1080/08985626.2023.2196267
  • Bertschek, Irene und David F. Müller (2022), Political Ignorance and the Internet, Journal of Economics and Statistics.
    https://doi.org/10.1515/jbnst-2021-0066
  • Bertschek, Irene und Reinhold Kesler (2022), Let the User Speak: Is Feedback on Facebook a Source of Firms’ Innovation?, Information Economics and Policy, Volume 60, 100991.
  • Brenner, Lukas, & Meyll, Tobias (2020). Robo-advisors: A substitute for human financial advice?. Journal of Behavioral and Experimental Finance, 25. doi.org/10.1016/j.jbef.2020.100275
  • Bystrov, Victor, Naboka, Viktoriia, Staszewska-Bystrova, Anna, Winker, Peter (2022), Cross-Corpora Comparisons of Topics and Topic Trends, Journal of Economics and Statistics, 242(4), 433–469. doi.org/10.1515/jbnst-2022-0024
  • Claire E. Robertson, Nicolas Pröllochs, Kaoru Schwarzenegger, Phillip Parnamets, Jay J. Van Bavel, Stefan Feuerriegel (2023)
    Negativity Drives Online News Consumption, Nature Human Behaviour, forthcoming
  • Cárdenas-Sánchez, Daniel; Miguel Sampayo, Andrés, Rodríguez-Prieto, Maykol; Feged-Rivadeneira, Alejandro (2022),  A Comparative Framework to Analyze Convergence on Twitter Electoral Conversations, Scientific Reports 12:19062, doi.org/10.1038/s41598-022-21861
  • Dörr, Julian Oliver; Kinne, Jan; Lenz, David; Licht, Georg; Winker, Peter (2022), An integrated data framework for policy guidance during the coronavirus pandemic: Towards real-time decision support for economic policymakers, PLOS ONE 17(2): e0263898.
  • Fegert, Jonas; Pfeiffer, Jella; Reitzer, Pauline; Götz, Tobias; Hariharan, Anuja; Pfeiffer-Leßmann, Nadine; Renner, Patrick; Pfeiffer, Thies; Weinhardt, Christof (2021)Ich sehe was, was du auch siehst: Über die Möglichkeiten von Augmented und Virtual Reality für die digitale Beteiligung von Bürger:innen in der Bau- und Stadtplanung. HMD Praxis der Wirtschaftsinformatik, 58, p. 1180-1195.
  • Haupt, Martin, Anna Rozumowski, Jan Freidank und Alexander Haas (2023), Seeking empathy or suggesting a solution? Effects of chatbot messages on service failure recovery, Electronic Markets (in: https://doi.org/10.1007/s12525-023-00673-0)
  • Hoffmann, Greta; Pfeiffer, Jella (2021). Gameful Learning for a More Sustainable World—Measuring the Effect of Design Elements on Long-Term Learning Outcomes in Correct Waste Sorting. Business & Information Systems Engineering, p. 1-24.
  • Hutzenthaler, M., Jentzen, A., Kruse, T., & Nguyen, T. A. (2020). A proof that rectified deep neural networks overcome the curse of dimensionality in the numerical approximation of semilinear heat equations. SN partial differential equations and applications, 1:1-34.
  • Jakubik J, Vössing M, Bär D, Pröllochs N, Feuerriegel S (2023), Online Emotions During the Storming of the US Capitol: Evidence from the Social Media Network Parler, Proceedings of the International Conference on Web and Social Media (ICWSM)
  • Kinne, Jan und Janna Axenbeck (2020), Web Mining for Innovation Ecosystem Mapping: A Framework and a Large-scale Pilot Study, Scientometrics. Download
  • Kinne, Jan; Lenz, David (2021). Predicting innovative firms using web mining and deep learning. PLoS ONE, 16, e0249071. doi.org/10.1371/journal.pone.0249071
  • Lenz, David; Winker, Peter (2020). Measuring the Diffusion of Innovations with Paragraph Vector Topic Models. PLoS ONE, 15, e0226685. doi.org/10.1371/journal.pone.0226685
  • Lutz, Bernhard; Pröllochs, Nicolas; Neumann, Dirk (2020). Predicting Sentence-Level Polarity Labels of Financial News Using Abnormal Stock Returns. Expert Systems with Applications, 148, 113223
  • Meißner, Martin; Pfeiffer, Jella; Peukert, Christian; Dietrich, Holger; Pfeiffer, Thies (2020). How virtual reality affects consumer choice. Journal of Business Research. 117 (September 2020), p. 219-231. doi.org/10.1016/j.jbusres.2020.06.004
  • Pfeifer, Gregor, and Mirjam Stockburger. "The morning after: Prescription-free access to emergency contraceptive pills." Journal of Health Economics (2023): 102775. Download: https://authors.elsevier.com/a/1hPSrc7LG8VtG

  • Pfeiffer, Jella; Pfeiffer, Thies; Meißner, Martin; Weiß, Elisa (2020). Eye-Tracking-Based Classification of Information Search Behavior using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments. Information Systems Research (ISR). doi:10.1287/isre.2019.0907
  • Pröllochs, Nicolas (2022), Community-Based Fact-Checking on Twitter’s Birdwatch Platform, Proceedings of the International Conference on Web and Social Media (ICWSM)
  • Pröllochs, Nicolas; Bär, Dominik; Feuerriegel, Stefan (2021), Emotions Explain Differences in the Diffusion of True Vs. False Social Media Rumors, Scientific Reports, 11, 22721.
  • Pröllochs, Nicolas; Bär, Dominik; Feuerriegel, Stefan (2021), Emotions in Online Rumor Diffusion, EPJ Data Science, 10, 51.
  • Pröllochs, Nicolas; Feuerriegel, Stefan (2020). Business Analytics for Strategic Management: Identifying and Assessing Corporate Challenges via Topic Modeling. Information and Management, 57(1), pp. 1 – 13
  • Pröllochs, Nicolas; Feuerriegel, Stefan; Lutz, Bernhard; Neumann, Dirk (2020). Negation Scope Detection for Sentiment Analysis: A Reinforcement Learning Framework for Replicating Human Interpretations. Information Sciences, 536, pp. 205 – 22
  • Schade, Philipp, Schuhmacher, Monika (2022), Digital Infrastructure’s Influence on the Socio-Cognitive Traits Entrepreneurial Pursuit Relationship: A Multilevel Analysis, Journal of Business Venturing, 37 (5), 106232https://doi.org/10.1016/j.jbusvent.2022.106232
  • Schade, Philipp, Schuhmacher, Monika (forthcoming), Entrepreneurial Activity Prediction Using Machine Learning, Journal of Business Venturing Insights.

  • Schmidt, Sebastian; Kinne, Jan; Lautenbach, Sven; Blaschke, Thomas; Lenz, DAvid; Resch, Bernd (2022): Greenwashing in the US metal industry? A novel approach combining SO2 concentrations from satellite data, a plant-level firm database and web text mining. Science of The Total Environment, 835, 155512, doi.org/10.1016/j.scitotenv.2022.155512.
  • Solovev, Kirill, Pröllochs, Nicolas (2022), Hate Speech in the Political Discourse on Social Media: Disparities Across Parties, Gender, and Ethnicity, Proceedings of The Web Conference (WWW)
  • Solovev, Kirill, Pröllochs, Nicolas (2022), Moral Emotions Shape the Virality of COVID-19 Misinformation on Social Media, Proceedings of The Web Conference (WWW)
  • Solovev K, Pröllochs N (2022), Moralized Language Predicts Hate Speech on Social Media, PNAS Nexus, forthcoming
  • Tilmann, Peter (2022). Macroeconomic Surprises and the Demand for Information about Monetary Policy. International Journal of Central Banking

Others