The research groups of Professors Mädche, Satzger, Weinhardt (IISM) and Sunyaev (AIFB) will be represented with a total of 10 papers at the "International Conference on Information Systems (ICIS)", which will take place in Austin, Texas in December 2021. Congratulations to all authors!

Chandra Kruse, L., Seidel, S., and Maedche, A.:

Levels of Digital Representation: Semiotics and the Articulation of Meaning

Grisold, T., Gau, M., and Yoo, Y.:

Coding Like a Rockstar: The Role of Social Influence on Action Patterns in GitHub

Haug, S. and Maedche, A.:

Crowd-Feedback in Information Systems Development: A State-of-the-Art Review

Heines, R., Kannengießer, N., Sturm, B., Jung, R., Sunyaev, A.:

Need for Change: Business Functions Affected by the Use of Decentralized Information Systems

Jussupow, E., Meza Martinez, M. A. , Maedche, A., and Heinzl, A.:

Is This System Biased? – How Users React to Gender Bias in an Explainable AI System

Peukert, C., Brossok, F., Adam, M.T.P.:

Towards Designing Live 360° Virtual Tours

Renner, M., Lins, S., Söllner, M., Thiebes, S., Sunyaev, A.:

Achieving Trustworthy Artificial Intelligence: Multi-Source Trust Transfer in Artificial Intelligence-capable Technology

Seiffer, A., Gnewuch, U., and Maedche, A.:

Understanding Employee Responses to Software Robots: A Systematic Literature Review

Staudt, P., Greif-Winzrieth, A., Nieken, P.:

Increasing Contributions to Sustainable Projects through Digital Nudges Amplifying Social Comparison

Wambsganss, T., Engel, C., Fromm, H.

Improving Explainability and Accuracy through Feature Engineering: A Taxonomy of Features in NLP-based Machine Learning