Wirtschaftsinformatik VII: Decision Support Systems

  1. Workshop

Workshop

03.996.3275   Wirtschaftsinformatik VII: Decision Support Systems (Workshop)
Dr. Jella Pfeiffer

Kurzname: Winfo VII: DSS

Inhalt

This class discusses how we can support decision behavior. We will start by describing typical aspects of decision behavior such as biases, heuristics and adaptive decision-making. Besides analyzing how people behave, we will study how people should behave. The second part of the class starts with an overview on different decision support systems and aims to provide an understanding of how we can incorporate the knowledge of decision behavior into the design of decision support systems. One focus will be on decision support for consumers in e-marketing such as collaborative and content-based filtering, recommendation agents and decision aids. We will discuss the implications of such decision support systems for marketing and point out how intelligent systems can support consumers’ decision-making. Furthermore, we will learn about very intelligent systems that are based on artificial intelligence such as interactive genetic algorithms that incorporate users’ preferences into the decision support process.
The class will be very interdisciplinary as it draws together results and observations from decision theory, marketing, behavioral and psychological studies, artificial intelligence, information systems, and operational research.
Syllabus:

• Decision-making behavior: biases, heuristics, adaptivity and decision strategies
• Decision theory: value functions, preferences, subjective expected utility
• Decision Support Systems: types, design and evaluation
• E-marketing: decision support for consumers in e-business, recommendation systems, decision aids
• Artificial intelligence and expert systems: interactive multi-objective algorithms, incorporating preferences into genetic algorithms

Voraussetzungen / Organisatorisches

This class will be taught in English. It will be a very research focussed class with a high degree of interactivity. It is very important that you come to every session, in particular the first one.

The beginning of the class will be a typical lecture, where I provide some basic information to you about decision making behavior and decision support systems. Afterwards, in each session a group of students will present a topic, thus the format turns more into a mixture of a lecture and a seminar. Every student has to present once in his/her group. For these presentations I will give you either 2-3 papers or a book chapter which you have to present and you will have the opportunity to in detail discuss with me the structure and content of your presentation beforehand. I will also give detailed feedback on your presentation so that you can improve your presentation skills. This presentation-mode replaces the tutorials which are part of the 4SMW class. Thus, instead of a regular meeting for tutorials, I will meet with the small groups to prepare and discuss their presentations.

The presentation topics will be announced and allocated in the first lecture. You need to come to the first lecture.

Empfohlene Literatur

Bazerman, M. H. (2006). Judgment in managerial decision making (Vol. 6). Hoboken, NJ: Wiley.
Eisenführ, F., Weber, M., Langer Thomas (2010). Rational Decision Maker (Vol. 1). Springer.
French, S., Maule, J., & Papamichail, N. (2009). Decision behaviour, analysis and support. Cambridge University Press.
Goodwin, P., & Wright, G. (1993). Decision analysis for management judgment. Wiley.
Payne, J., Bettman, J., & Johnson, E. (1993). The adaptive decision maker. Cambridge, UK: Cambridge University Press.
Turban E., Aronson J., Liang T., Sharda, R. (2007). Decision Support and Business Intelligence Systems (Vol. 8). Person International Edition

Inhalt

This class discusses how we can support decision behavior. We will start by describing typical aspects of decision behavior such as biases, heuristics and adaptive decision-making. Besides analyzing how people behave, we will study how people should behave. The second part of the class starts with an overview on different decision support systems and aims to provide an understanding of how we can incorporate the knowledge of decision behavior into the design of decision support systems. One focus will be on decision support for consumers in e-marketing such as collaborative and content-based filtering, recommendation agents and decision aids. We will discuss the implications of such decision support systems for marketing and point out how intelligent systems can support consumers’ decision-making. Furthermore, we will learn about very intelligent systems that are based on artificial intelligence such as interactive genetic algorithms that incorporate users’ preferences into the decision support process.
The class will be very interdisciplinary as it draws together results and observations from decision theory, marketing, behavioral and psychological studies, artificial intelligence, information systems, and operational research.
Syllabus:

• Decision-making behavior: biases, heuristics, adaptivity and decision strategies
• Decision theory: value functions, preferences, subjective expected utility
• Decision Support Systems: types, design and evaluation
• E-marketing: decision support for consumers in e-business, recommendation systems, decision aids
• Artificial intelligence and expert systems: interactive multi-objective algorithms, incorporating preferences into genetic algorithms

Voraussetzungen / Organisatorisches

This class will be taught in English. It will be a very research focussed class with a high degree of interactivity. It is very important that you come to every session, in particular the first one.

The beginning of the class will be a typical lecture, where I provide some basic information to you about decision making behavior and decision support systems. Afterwards, in each session a group of students will present a topic, thus the format turns more into a mixture of a lecture and a seminar. Every student has to present once in his/her group. For these presentations I will give you either 2-3 papers or a book chapter which you have to present and you will have the opportunity to in detail discuss with me the structure and content of your presentation beforehand. I will also give detailed feedback on your presentation so that you can improve your presentation skills. This presentation-mode replaces the tutorials which are part of the 4SMW class. Thus, instead of a regular meeting for tutorials, I will meet with the small groups to prepare and discuss their presentations.

The presentation topics will be announced and allocated in the first lecture. You need to come to the first lecture.

Empfohlene Literatur

Bazerman, M. H. (2006). Judgment in managerial decision making (Vol. 6). Hoboken, NJ: Wiley.
Eisenführ, F., Weber, M., Langer Thomas (2010). Rational Decision Maker (Vol. 1). Springer.
French, S., Maule, J., & Papamichail, N. (2009). Decision behaviour, analysis and support. Cambridge University Press.
Goodwin, P., & Wright, G. (1993). Decision analysis for management judgment. Wiley.
Payne, J., Bettman, J., & Johnson, E. (1993). The adaptive decision maker. Cambridge, UK: Cambridge University Press.
Turban E., Aronson J., Liang T., Sharda, R. (2007). Decision Support and Business Intelligence Systems (Vol. 8). Person International Edition

Termine:

WochentagDatumUhrzeitOrt
Dienstag29.04.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag29.04.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag13.05.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag13.05.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag20.05.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag20.05.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag27.05.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag27.05.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag03.06.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag03.06.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag10.06.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag10.06.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag17.06.201416.15 - 17.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag17.06.201414.15 - 15.45 Uhr 01 114 RW 5, 1226 - Haus Recht und Wirtschaft I
Dienstag24.06.201414.15 - 15.45 Uhr Softwarelab, LS Rothlauf, 01 115, ReWi II Gebäude,
Dienstag24.06.201416.15 - 17.45 Uhr Softwarelab, LS Rothlauf, 01 115, ReWi II Gebäude,