0000003388 20W 2SWS HS Trends in Information Systems: Future of IT Work, Digital Business Model Ecosystems and Process Mining (IN0014, IN2107, IN4923)   Hilfe Logo

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Trends in Information Systems: Future of IT Work, Digital Business Model Ecosystems and Process Mining (IN0014, IN2107, IN4923) 
advanced seminar
Winter semester 2020/21
Informatics 17 - Chair of Information Systems and Business Process Management (Prof. Rinderle-Ma)
(Contact information)
Allocations: 1 
Angaben zur Abhaltung
Research in Information Systems is concerned with the investigation of current topics at the interface between economics and informatics. Due to the diversity of these two topics, a broad spectrum of different orientations of IT work is being offered. The rapid progress of technologies poses a great challenge for both companies and their employees. The rapid advance of digitalization confronts IT companies with the problem of finding highly qualified personnel. At the same time, IT employees are under pressure to constantly acquire new technological skills to be able to participate in the rapid technological progress. For the future, the question therefore arises as to how companies can shape IT work in a future-oriented manner, what young IT professionals expect from their future work and their employers and what skills they need to bring with them to keep up with rapid technological progress.

This rapid progress also leads to an increased complexity of the ecosystem. Companies are more closely interconnected than ever and value chains are turning into value networks. Digital business models, e.g. digital platforms, lead to shared value streams and higher dynamics. If a company changes its business model, the business model of its partners consequently also changes. In addition, more than ever, companies must respond to digital start-ups with innovative business models. Driven by trends, industrial, market and macro-economic influences, companies face the challenge of constantly adapting their business model and making it agile to remain responsive. Numerous challenges arise for the digital strategy of companies: How can a business model be designed to operate in the ecosystem and, if necessary, to shape it? How can digital technologies be used for innovative and agile business models? How can IT be designed to support digital business models? How does the company benefit from innovations in the ecosystem (e.g. of the partners)?

The innovation of business models often brings along a far-reaching change of business processes. Nowadays, these processes are increasingly digitalized and automated. For many companies, the digitization of production and service processes, the embedding of the service offering in a digital ecosystem and the development of new, digital communication and distribution channels is considered a prerequisite for remaining competitive in the future. At the same time, however, the implementation of such transformation initiatives requires an understanding of current processes in the company as well as monitoring of the optimization potentials. The big data analytics technology Process Mining enables such transparency. The technology evaluates "traces" of every conceivable business process in the associated IT systems, reconstructs an overview of the processes actually running in the company and provides information on problems and potential for improvement. But the application of Process Mining also confronts companies with the question of how they can meet challenges in implementation and create the necessary conditions for the best possible value creation.

The seminar "Trends in Information Systems" takes up these questions and topics and examines them from a scientific perspective.
What we expect from the participants:
- High level of engagement
- Ability to work in a team
- Interest in topics of Information Systems and Research

You might resign from your application until 18.10.2020.
The aim of this seminar is to convey a basic understanding of scientific work on the basis of current topics in Information Systems. The participants learn the process of scientific work from developing ideas, constructing conceptual models to formulating arguments, as well as giving and dealing with feedback from the scientific community. In the course of the seminar, the participants work out a methodical impulse lecture and illustrate the relevance of the topic to be worked out. Afterwards, the collected findings will be summarized in a seminar paper, taking into account the discussions in the course.
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Note: The pre-course meeting took place on 08.07.20. Please find the slides below: Online Information -> Additional Information.

Please send a mail for your application to barbara.prommegger@tum.de until 19.07.2020. The following documents should be contained:
- CV
- Current grade report
- Motivation and, if applicable, experience already gained with research methods (3 - 5 sentences of justification)

Additionally, to your written application you have to register for the course in the matching system of the faculty for informatics (Please consider the information on matching.in.tum.de). Subsequently, the matching system allocates the seminar slots.
Future of IT Work
- Thatcher, J., Dinger, M., & George, J. F. (2012). Information technology worker recruitment: An empirical examination of entry-level IT job seekers’ labor market. Communications of the Association for Information Systems, 31(1), 1–34.
- Gallivan, M. J., Truex, D. P., & Kvasny, L. (2004)Changing Patterns in IT Skill Sets1988–2003: A Content Analysis of Classified Advertising. Data Base for Advances in Information Systems, 35(3), 64–87.
- Heinze, N. and Hu, Q., 2009. Why college undergraduates choose IT: a multi-theoretical perspective. European Journal of Information Systems, 18 (5), (2009). 462-475.

Process Mining
- Van Der Aalst, W. (2011). Process mining: discovery, conformance and enhancement of business processes. Heidelberg: Springer.
- Thiede, M., D. Fuerstenau and A. P. Bezerra Barquet (2018). "How is process mining technology used by organizations? A systematic literature review of empirical studies." Business Process Management Journal 24 (4), 900-922.

Digital Business Model Ecosystems
- Riasanow, Tobias; Soto Setzke, David; Böhm, Markus; Krcmar, Helmut: Clarifying the Notion of Digital Transformation: A Transdisciplinary Review of Literature. Journal of Competences, Strategies and Management 10, 2019, 5-36
- Hein, Andreas; Schreieck, Maximilian; Riasanow, Tobias; Soto Setzke, David; Wiesche, Manuel; Böhm, Markus; Krcmar, Helmut: Digital platform ecosystems. Electronic Markets (in press), 2019
- Lanzolla, G., & Markides, C. (2020). A Business Model View of Strategy. Journal of Management Studies, in press, 14.
Online information
e-learning course (moodle)
Additional information
additional information