Short description
In their Master’s thesis, students use scientific methods and work in accordance with standards of scientific writing. The Master’s thesis is typically related to the major (BPM or Data Science) chosen by the student.

• The thesis is supervised by a supervisor and a co-supervisor, both of whom should be members of the Institute of Information Systems.The Master’s thesis is defended in an oral exam, where students may be asked questions related to their studies that may go beyond the content of their Master’s thesis. The official editing time is defined on the thesis proposal and may not exceed 22 weeks. A shorter editing time is possible.

• Students will formulate appropriate research questions.Students will identify appropriate theories to explain empirical phenomena.Students will identify suitable research methods in order to seek answers to specific research questions.Students will use appropriate qualitative, quantitative, and design-oriented approaches to seek answers to their research question/questions. Mere conceptual works are also possible.

• Compulsory readingBryman, A. & Bell, E. (2015) Business research methods (4th ed.). Oxford, UK: Oxford University Press.Creswell, J.W. (2013) Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (3rd ed.). Sage PublicationsOates, B. J. (2006). Researching information systems and computing. London, UK: Sage Publications.Recker, J. (2012). Scientific Research in Information Systems: A Beginner’s Guide. Springer, Heidelberg, Germany.

• Submissions and deadlines A copy of signed thesis proposal (Exposé) must be submitted until July 1st. (for the winter term) and February 1st (for the summer term).The master's thesis must be submitted until November 30th (for the winter term) and June 30th (for the summer term) to the the central service desk. This submission must include: (1) two signed copies in adhesive binding and (2) two signed copies in spiral binding. In addition, you have to upload your thesis in Moodle. If any of the dates above falls on a weekend or public holiday, the deadline is automatically extended until the next working day. Please also check the opening times of the central service desk, especially during summer months.

In diesem Modul wird eine systematische Einführung in die Denkweise des Marketings, seine Prinzipien, Entscheidungstatbestände, Instrumente und Methoden gegeben. Die Veranstaltung soll den Studierenden ein Grundverständnis über die Aufgaben und Ziele einer marktorientierten Unternehmensführung vermitteln. Die Studierenden sollen anschließend in der Lage sein, Praxisfälle aus einer Marketingperspektive zu analysieren/beurteilen und unter Verwendung der einschlägigen Terminologie Lösungsvorschläge zu entwickeln.

Im Speziellen gibt die Veranstaltung einen Überblick über verschiedene Themenbereiche. Diese erstrecken sich von den Grundlagen des Marketing, die durch die Merkmale, Entwicklungsphasen und institutionelle Besonderheiten näher definiert werden, über das Thema Unternehmen und Absatzmarkt, welche die Marktgröße, -anteile, -segmentierung und -abgrenzung beinhalten, bis hin zum Käuferverhalten. Beim Käuferverhalten werden die Bereiche Psychologische Grundlagen und Typologisierung von Kaufentscheidungen erläutert. Weitere Themenbereiche im Marketing Management sind auch die Aufgaben, Formen und Methoden der Marktforschung sowie das strategische Marketing mit ihren Methoden, Zielen, Strategien und Maßnahmen. Außerdem werden die neueren Erscheinungsformen des Marketings sowie das operative Marketing mit seinen vier Sektoren Produkt, Preis, Distribution und Kommunikation behandelt.

Präsentationen, Fallstudien, Diskussionen

Präsentation, Essay

The course will deepen and enrich your enjoyment and understanding of art through engagement with some of the key theories and approaches that art historians have developed for interpreting and explaining works of art.

• Learn about Art Periods
• Get to know the highlights of European art from the 15th to the 21st century
• Explore fascinating questions about works of art, their function in society, their various meanings for viewers of the past and of the present
• Meet works of art within their social and cultural context
• Learn about methods used by art historians to analyse, interpret and explain works of art: Biographical approach, socio-economic/cultural approach, sociological approach, Iconographic approach, semiotics, gendered approach…..
• Special focus on social history of art

Lectures, group work, self-study; museum visits

• know some of the major European works of art
• are able to explain the basic concepts and theories of art
• know how to look at works of art and their original social, commercial and religious context
• understand some of the issues in treating works of art as visual evidence of human action, imagination and thought
• understand the different contexts in which works of art can be produced and consumed
• are able to place works of art in the historical context
• are able to read and analyse works of art
• know facts about the art market

Supplied during the course
Ernst Gombrich, The Story of Art, Phaidon, 2006
James Elkins, Stories of Art, Routledge, 2002
Texts: Barrell, Bermingham, Andrews, Clark, Helsinger, Pollock….

Part A: (20 %) Preparation of questions on assigned reading material
Part B: (60 %) Essay with presentation on a chosen topic on art
Part C: (20 %) Develop your personal art guide

Compulsory attendance (min. 80%)

Passed / Failed

• Course based on continuous assessment, details see under "assessment".
• Meeting attendance obligations and active participation are an essential pre-requisite for successfully completing a course based on continuous assessment.
• Attendance must be proven for at least 80% of the stipulated contact time. Responsibility for checking and providing written proof of this obligatory attendance lies with the course lecturer who is required to store this information at least until the end of the semester.
• In the case of absenteeism that exceeds the specified limits of absence, a medical certificate is required. Responsibility lies with the head of the Coordination Office for Cross-Faculty Elective Subjects to approve the reason for the student's failure to attend.
• Participation in other activities of the university are not recognized as an excused absence.

Fakultätsübergreifendes Wahlfach:
Es gelten spezielle Anmeldemodalitäten.

Short description
A three-day workshop will serve as a case study in which the students participate. This is followed by a reflection phase during which literature review and research will be applied to their experiences. Finally participants have to document their key findings and lessons learned in a written seminar work and prepare a presentation to transfer this new knowledge to their fellow students.

Topics

• Managing Human Resources
• Leadership
• Operations Organisation and Organisational Behaviour
• Project, Change and Conflict Management
• Competence Management and Delegation
• Teambuilding

• The concept of the workshop is to create a simulation of real business situations. Because there does not exist any absolute formula for success the students are empowered and encouraged to find their own solutions. The lecturers in this module offer active guidance and feedback during this process. The students are also given time to reflect upon their experiences as the workshop progresses by writing a personal "Leadership Diary".

• Students will know how communication and cooperation can be designed.
• Students will know fundamentals about motivation and rewarding schemes.
• In a case setting, students will learn about coordination and decision taking.

Compulsory reading
A list of references will be distributed in class in accordance with the content of the workshop.

Further reading

• Adams, J. S. (1965). Inequity in social exchange. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 2, pp. 267-299). New York: Academic Press.
• Armstrong, M. (2006): Strategic Human Resource Management: A Guide to Action. 3. Aufl., Thomson-Shore.
• Beel, J. (2007). Project Team Rewards - rewarding your project Team. First Edition. CreateSpace LLC, Scotts Valley, USA.
• Drucker, P. F. (1954). The Practice of Management. New York: Harper & Row.
• Herzberg, F. and Mausner, B. and Bloch Snyderman, B. (1993). The Motivation to Work (10th Edition). Transaction Publishers.
• Malik, F. (2015). Managing Performing Living (2nd ed.). Campus Verlag
• Maslow, A. (1943). A Theory Of Human Motivation in Psychological Review 50 (4) pp. 370-96.

Evaluation during workshop (50 %); seminar thesis and presentation (50 %).

• The participants will constantly be evaluated throughout this workshop by peer-review, performance review and the degree to which they have achieved their objectives. Project and Process Management will be applied as powerful Management Tools.

Please see moodle platform for further details about this year's workshop.

Our educational journey will be done in cooperation with Prof. Jan Mendling, WU Vienna - University of Economics and Business. We will attend lectures at the brand new campus of WU Vienna, the biggest university for social and economic sciences in Europe. Furthermore, company visits and social activities are part of this journey. The trip lasts from Tuesday- Saturday(including travel).

This module is accredited as elective subject (i.e. it counts as 3 out of 12 ECTS in the elective subjects basket).

Activities
Besides a lecture at the new campus of the Vienna University of Economics and Business (WU Wien) by Univ. Prof. Dr. Jan Mendling, we plan the following activities:

• visit of the Austrian National Library
• visit of the Viennese brewery: Ottakringer Brauerei AG
• introduction to typical Austrian cuisine

Schedule
Date: 3rd April 2018 until 7th April 2018 (travelling on 3rd and 7th April)

Preliminary Agenda (to be confirmed)
Tuesday: 18:00: get-together (to be announced), sightseeing-walk, dinner.
Wednesday: lectures at WU Wien, dinner in Schweizerhaus (Prater Vienna)
Thursday: lectures (half day) and short exam (see below for details), brewery visit, free evening
Friday: Austrian National Library and dinner at a traditional Heurigen. Late departure is possible after the Library, if necessary.
Saturday: individual departure

Regulations require an examination in an elective subject. The exam will be conducted in the form of an exercise with relation to the lecture. You will be able to consult in groups and use all material (open book). Grading will be pass/not passed
There will be sufficient time to discover the city individually.

Accommodation
Students who took part in the last years, always recommended the following places to stay:

• Wombats City Hostel – THE LOUNGE at Mariahilferstrasse: http://www.wombats-hostels.com/vienna/the-lounge/

• Motel One Prater – this is near the WU Wien Campus, where lectures will take place, and close to Schweizerhaus: http://www.motel-one.com/en/hotels/vienna/wien-prater/

Cost & Registration
Please register until end of February for the study trip.

The cost for entry fees in Ottakringer Brewery are 6,- EUR which we will collect during the trip. All other costs have to be covered individually.

Travel
Travelling to Vienna should be organized individually. We can recommend the Austrian Federal Railways (www.oebb.at) leaving e.g. from Feldkirch or Zurich.

Some tips for booking a train ticket:

• There is always a limited amount of cheaper tickets -dedicated to specific trains - available (called Sparschiene).
• If you want to buy a regular ticket, you will be asked whether you have a ÖBB Vorteilscard (50 % discount). All people under 26 years can buy a Vorteilscard < 26 at low cost.

Flights go from Altenrhein-St.Gallen (Peoples Airline) and Zürich (AUA, Swiss) to Wien-Schwechat (VIE).

Arriving by car is possible, the P+R Ottakring might be the best solution then (U3 connects you with the city).

We will use public transportation during the trip. Tickets are available at all vending machines of "Wiener Linien".

Die Studierenden lernen die grundlegenden logistischen Konzepte, Strategien und Philosophien in der Beschaffung, Produktion, Planung und Distribution kennen, sowie die Umsetzung dieser Konzepte und Strategien. Es geht dabei insbesondere um die Erkenntnis, dass in der Logistik der Systemgedanke und die Vernetzung von Anlagen, Informationen und Materialflüssen einen hohen Stellenwert haben. Die Studierenden verstehen Logistik als Querschnittsfunktion über unterschiedliche Unternehmens- und Wirtschaftsbereiche und erkennen die hohe Vernetzung verschiedener Methoden und Instrumente. Sie werden in die Lage versetzt, verschiedene Logistiksysteme und ihre Komponenten zu identifizieren, zu analysieren und hinsichtlich ihrer Einsatzmöglichkeiten zu bewerten. Sie können die Systembestandteile differenzieren und ansatzweise Stärken und Schwächen in Realsystemen erkennen.

Präsentationen, Fallstudien, Diskussionen

Präsentation, Fallstudienanalyse

This course generalizes the concepts of simple linear regression discussed in Business Statistics I to the case of multiple linear regression.

Topics
> Classical linear model assumptions
> Parameter estimation in multiple linear regression
> Model diagnostics
> Inference in multiple linear regression
> Model specification techniques
> Model selection techniques Introduction to the software package R

The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions. Students are usually asked in advance to read corresponding parts of the lecture notes or of the textbook in order to prepare for the upcoming lectures. In the interactive lectures, statistical concepts will be introduced and motivated by discussing examples in detail. Assignments are offered to train these skills. During office hours, individual problems may be discussed with the lecturer. In order to analyse realistic data, the software package R will be used.

Students explain the classical linear model assumptions, run multiple linear regressions, check the diagnostics plots and interpret the results correctly. Students apply inference procedures in multiple linear regression models and compare the advantages and disadvantages of different inference procedures. Students apply specification techniques to improve the quality of models and interpret such models correctly. Students apply selection techniques to choose appropriate models.

Compulsory reading

• Wooldridge, J.M. (2013). Introductory Econometrics. (International Student Edition, 5th edition). Mason: South Western Cengage Learning.

Further reading

• Montgomery, D.C., Peck, A.E. & Vining, G.G. (2012). Introduction to Linear Regression Analysis. (5th edition). New York: John Wiley & Sons.
• Faraway, J.J. (2014). Linear Models with R. (2nd edition). Boca Raton: Chapman & Hall/CRC.

Written exam (60 min)

In this course we discuss some statistical methods that can help to take decisions in business using data. After reviewing the basic concepts of ''Testing and Estimating'', usually known from an introductory course on probability theory and statistics in any bachelor program, we introduce and discuss some aspects of ''Multiple Linear Regression Analysis'', which can be regarded as one of the practically most relevant statistical techniques.

Topics:

• graphical and numerical characterizations of random variables and their distributions
• framework and basic applications of testing hypotheses and estimating parameters
• ordinary least squares method and its properties
• parameter estimation in multiple linear regression
• classical linear model assumptions and model diagnostics
• inference in multiple linear regression
• model specification techniques
• model selection techniques
• introduction to the software package R

Students are usually asked in advance to read corresponding parts of the textbook (Wooldridge, 2009) in order to prepare for the upcoming lectures. In the interactive lectures, we then introduce the statistical concepts and motivate them by discussing examples in detail. Assignments are then offered to train these skills. During the office hours, individual problems may finally be discussed with the lecturer. In order to analyze realistic data, the software package R will be used.

The same teaching methods will be used in the two different lecture series ''Testing and Estimating'' and ''Multiple Linear Regression Analysis''.

The e-learning platform Moodle will be used throughout the course for the dissemination of course material and discussions.

The students will be provided with the lecture slides and supporting materials (literature and exercises) throughout the course.

Compulsory reading:

• Wooldridge, J.M. (2009). Introductory Econometrics. (International Student Edition, 4th edition). Mason: South Western Cengage Learning.

Further reading:

• Montgomery, D.C., Peck, A.E. & Vining, G.G. (2012). Introduction to Linear Regression Analysis. (5th edition). New York: John Wiley & Sons.
• Faraway, J.J. (2005). Linear Models with R. Boca Raton: Chapman & Hall/CRC.

Life shows that on the long-run personality often makes the difference to be successful both in business and your private life. That's why having a better understanding about yourself and managing your personal resources is crucial. In this module we focus on the three elements Mindset, Brain and Body and enable you with knowledge and self-experience to high perform on the long run.

The Liechtenstein Academy Foundation elaborated a unique offer together with three external lecturers that cover the following main topics:
1) Purpose & Mindset: Why is purpose and mindset so crucial for success in professional and personal life?
2) Brain: Do you know how your brain actually works and how you can positively influence your brain performance?
3) Body Resources: Are aware of the power that lays within a conscious management of your body resources?

• Presence based (methodological mix of input, reflection, group works,…)
• Experience-oriented self-learning (e.g. readings, heart rate variability measurement + diary,…)

1) Purpose & Mindset:
Create awareness of the impact of purpose and mindset for your life. Main topics: Positive Psychology, Resilience, Mindfulness. Sybille Mäder, coach and leadership specialist with huge business experience in the international financial industry.
2) Brain:
Create awareness of how we can enhance our brain performance. Learn about important techniques and limiting factors. Andreas Pisch a very experienced trainer gives both theoretical input on how our brain works and is able to underline it with good practices and helpful techniques for further enhancement of your brain performance.
3) Body Resources:
Experience and understand the power of your body resources and the importance of a balanced profile between tension and recovery. Learn about your individual stress profile (you will get a 72 hours heart rate variability profile) and find out how you can positively influence your well-being. Ole Petersen, CEO of the Swiss-based Fit im Job AG, successful athlete and trainer combines knowledge and experience in dealing with body resources both from both, a sportsman's view as well as from a business related view.

• Syllabus (details on the readings will be provided prior to each module)
• Please note that the third module comprises a compulsory heart rate variability measurement (72hours). This is a very powerful tool that helps you to analyze your stress factors individually.

Assessment tasks:
Module 1: (20%) - Attendance & active participation
Module 2: (20%) - Attendance & active participation
Module 3: (20%) - Attendance & active participation

Self-study: (40%) - includes readings, 72 hours HRV-test, individual learning journal

Compulsory attendance (min. 80%)

Passed / Failed

• Course based on continuous assessment, details see under "assessment".
• Meeting attendance obligations and active participation are an essential pre-requisite for successfully completing a course based on continuous assessment.
• Attendance must be proven for at least 80% of the stipulated contact time. Responsibility for checking and providing written proof of this obligatory attendance lies with the course lecturer who is required to store this information at least until the end of the semester.
• In the case of absenteeism that exceeds the specified limits of absence, a medical certificate is required. Responsibility lies with the head of the Coordination Office for Cross-Faculty Elective Subjects to approve the reason for the student's failure to attend.
• Participation in other activities of the university are not recognized as an excused absence.

Liechtenstein Academy Foundation (Georg Winder) + external Lecturers (Sibylle Mäder, Andreas Pisch, Ole Petersen)

Fakultätsübergreifendes Wahlfach:
Es gelten spezielle Anmeldemodalitäten.