Dr. Matthias Eickhoff

Short CV


  • 2014–2017: Research Fellow, Chair of Electronic Finance and Digital Markets, University of Göttingen

  • 2014: Master Thesis “Sentiment Analysis: Methodological Approaches and their Implementation in R”

  • 2012–2014: Master Studies in Finance, Accounting and Taxes, University of Göttingen

  • 2008–2012: Bachelor Studies in Business Administration with a specialization in Finance, Accounting and Taxes, University of Göttingen

  • 2007–2008: Alternative service at the “Villa Kunterbunt” (Baunataler Diakonie)



Publications


  • Confente, I., Siciliano, G. G., Gaudenzi, B., and Eickhoff, M., 2019, „Effects of data breaches from user-generated content: A corporate reputation analysis,“ European Management Journal, Link.

  • Palmer, M., Eickhoff, M., and Muntermann, J. 2018. „Detecting Herding Behavior Using Topic Mining: The Case of Financial Analysts,“ in Proceedings of the 26th European Conference on Information Systems, Portsmouth, UK, AISeL.

  • Eickhoff, M. and Wieneke, R. 2018. “Understanding Topic Models in Context: A Mixed-Methods Approach to the Meaningful Analysis of Large Document Collections“, in Proceedings of the 51st Hawaii International Conference on System Sciences, Waikoloa Village, HI, Link.

  • Eickhoff, M., Muntermann, J. and Weinrich, T. 2017. “What do FinTechs actually do? A Taxonomy of FinTech Business Models,” in Proceeding of the 38th International Conference on Information Systems, Seoul, South Korea, AISeL.

  • Eickhoff, M. 2017. “The Information Value of Unstructured Analyst Opinions - Studies on the Determinants of Information Value and its Relationship to Capital Markets,", University of Göttingen.

  • Eickhoff, M., and Neuss, N. 2017. “Topic Modelling Methodology: Its Use in Information Systems and other Managerial Disciplines,” in Proceedings of the 25th European Conference on Information Systems, Guimarães, Portugal, AISeL.

  • Eickhoff, M. 2017. “What do they mean? Using Media Richness as an Indicator for the Information Value of Stock Analyst Opinion regarding post-earnings Firm Performance,” in Proceedings of the 50th Hawaii International Conference on System Sciences, Waikoloa Village, HI, January 4-7, AISeL.

  • Eickhoff M., and Muntermann J. 2016. “Stock analysts vs. the crowd: Mutual prediction and the drivers of crowd wisdom,” Information & Management, Special Issue on Papers Presented at Pacis 2015 (53:7), pp. 835-845, ScienceDirect.

  • Eickhoff M., and Muntermann J. 2016. “How to conquer Information Overload? Supporting financial Decisions by identifying relevant Conference Call Topics,” in Proceedings of the 20th Pacific Asia Conference on Information Systems, Chiayi, Taiwan, AISeL.

  • Eickhoff M., and Muntermann J. 2016. “They talk but what do they listen to? Analyzing financial Analysts Information Processing using Latent Dirichlet Allocation,” in Proceedings of the 20th Pacific Asia Conference on Information Systems, Chiayi, Taiwan, AISeL.

  • Eickhoff, M., and Muntermann, J. 2015. “Stock Analysts vs. the Crowd: a Study on Mutual Prediction,” in Proceedings of the 19th Pacific Asia Conference on Information Systems, Singapore. (winner of the best paper award), AISeL.

  • Eickhoff, M. 2015. “A Hybrid Domain-Portable Framework for Sentiment Classification,” in Lecture Notes in Computer Science: New Horizons in Design Science: Broadening the Research Agenda; Proceedings of the 10th International Conference on Design Science Research in Information Systems and Technology, B. Donnellan et al. (eds.), Cham, Switzerland: Springer International Publishing, pp. 215-229, SpringerLink.