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Specifying autonomy in the Internet of Things: the autonomy model and notation

"The university of applied science „Hochschule Mainz“ offers a master degree course called „IT Management“. This course includes the module „IT Management & Research“, led by Prof. Dr. Gunther Piller. In Summer Term 2019 the IT Management students get a complex task within this module: Analyse a design science project based on the guidelines by Hevner et al. (Hevner, Salvatore, Park, & Ram, 2004). First, the students have to read the article „Design Science in Information System research by Hevner et al.“ to build knowledge of principles of design science research in information management  and IT. The article describes various procedures for identifying, analyzing, and solving a problem, based on a framework and seven guidelines. The core aspect to reach this goal is the development of an artifact. The theoretical knowledge gained by reading the article will then be applied on the basis of a practical use case. Tasked with analyzing an appropriate case study, the students searched online on various platforms. The specified requirements of the research: Finding a paper with a Ranking of A-D, according to sources listed by „Verband der Hochschullehrer für Betriebswirtschaft“ (Website: https://vhbonline.org/vhb4you/vhb-jourqual/vhb-jourqual-3). After finding a suitable source, the students searched for a paper that meets the requirements to begin their analysis. The aim of this task is to get a better understanding of the use and value of design science research methods for current corporate questions and projects in IT management. The following analysis refers to a paper titled „Specifying autonomy in the Internet of Things: the autonomy model and notation” (Janiesch, Fischer, Winkelmann, & Nentwich, 2019). The next chapter describes the content of their paper and gives a short summary of the research project."

Studiengang: IT Management M.Sc.
Themengebiet: Wirtschaftsinformatik
Professor: Prof. Dr. Gunther Piller
Seitenzahl: 9 Seiten
Veröffentlichungsdatum: 04.01.2020
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