Beiträge auf der 25. Americas Conference on Information Systems (AMCIS) 2019

Die Professur für Anwendungssysteme und E-Business ist mit zwei Beiträgen auf der 25. Americas Conference on Information Systems (AMCIS) 2019 vertreten:

Julian Busse präsentiert den Beitrag: "Development Approaches and Challenges of Content Design in Enterprises for Digital Learning Environments".

  • Abstract: The didactical preparation of learning content challenges many enterprises. Often there is a lack of human resources and thus of necessary didactical expertise in enterprises. Nevertheless, study results indicate that the majority of enterprises create their learning content on their own. To support enterprises with action and design principles in developing adequate learning content, an analysis of the initial conditions in enterprise training is essential as a first step. These findings on the state of practice show both, theory and practice, how enterprises approach the design of learning content, which areas they neglect, and which aspects of the design they face with challenges. Therefore, the main goal of this paper is to elaborate on how enterprises develop learning content and what challenges they face during the development. To reach this goal, we conducted a qualitative study by interviewing 20 experts of enterprise training and identified several approaches but also challenges.

  • Raphael Meyer von Wolff präsentiert den Beitrag: "What Do You Need Today? - An Empirical Systematization of Application Areas for Chatbots at Digital Workplaces".

    • Abstract: The application of chatbots in digital workplaces is currently on the rise. Especially in customer or employee support scenarios this kind of artificial intelligence and natural language-based human-computer interface is been used. However, the application of chatbots in real work scenarios is still considered barely and unknown. Therefore, we aim at surveying the current application of chatbots at workplaces. Thus, we conducted an empirical cross-section interview study. Our findings show that chatbots can perform five tasks, which have to be considered in seven application areas. Furthermore, we show generalized results for the combination of tasks and application areas in order to be reused by practice and science in the future.