Jahresbericht 2009/2010 - Fakultät für Wirtschaftswissenschaften ...

Fakultät für Wirtschaftswissenschaften
Faculty of Business Administration and Economics
Department 3 – Wirtschaftsinformatik
Department 3 – Business Information Systems
76
Market Systems: The Effect of Infrastructure
Upgrades, in: Proceedings of the 43rd Hawaii
International Conference on System Sciences,
Kauai, Hawaii, 2010
Kundisch, D.; Mittal, N.; Nault, B.: IT Productivity
and Aggregation using Income Accounting,
contribution at: 10th Workshop on Information
Systems and Economics (WISE), Phoenix, 2009
Kundisch, D.; Zorzi, R.: Enhancing the Quality
of Financial Advice with Web 2.0 – An Approach
considering Social Capital in the private Asset
Allocation, in: Nelson, M., Shaw, M., Strader,
T., Eds.: Value Creation in E-Business management,
Proceedings of the 15th Americas Con -
ference on Information Systems, San Francisco,
Springer Lecture Notes in Business Information
Process ing, Springer, Berlin, 2009, pp. 259–
270
Contributions in editorial volumes, discussion
papers and others:
Müller, G.; Kundisch, D.; Sackmann, S.; Romeike,
F.: Vorwort zum Track Integriertes Ertrags-/
Risiko management in automatisierten Ge -
schäftsprozessen, in: Schumann, M.; Kolbe, L.;
Breitner, M.; Frerichs, A.; Eds., Multikonferenz
Wirtschaftsinformatik 2010, Universitätsverlag
Göttingen, pp. 421–422
Dorfleitner, G.; Klein, C.; Kundisch, D.: Technical
Analysis as a Method of Risk Management,
in: Squires, W.; Burdock, C.; Eds., Monetary
Growth: Trends, Impacts and Policies, Nova
Science Publishers, New York, 2009
Kundisch, D.: Editorial Preface, in: Kundisch,
D.; Veit, D.; Weitzel, T.; Weinhardt, C.; Eds.,
Proceedings of the 4th International Workshop
on Enterprise Applications and Services in the
Finance Industry, Springer Lecture Notes in
Business Information Processing, Springer,
Heidelberg, 2009, pp. V–VIII
Editorial volumes:
Kundisch, D.; Veit, D.; Weitzel, T.; Weinhardt, C.:
Proceedings of the 4th International Workshop
on Enterprise Applications and Services in the
Finance Industry, Springer Lecture Notes in
Business Information Processing, Springer,
Heidelberg, 2009
Tagungen, Seminare, Messen
Conferences, Seminars, Fairs
Associate Editor of the Track „IS in den Dienst -
leistungen“ at the 10. Internationale Tagung
Wirtschaftsinformatik 2011, Zurich, Switzerland
Associate Editor of the Track “Economics and
Information Systems” at the 30th International
Conference on Information Systems (ICIS) 2009,
Phoenix, USA
Organizer and Track Chair of the Track “Inte -
grier tes Ertrags-/Risikomanagement in automatisierten
Geschäftsprozessen” at the Multikon -
ferenz Wirtschaftsinformatik (MKWI) 2010,
Göttingen, Germany, Track (together with G.
Müller, S. Sackmann and F. Romeike)
Member of the Program Committee of the 5th
International Workshop on Enterprise Appli -
cations and Services in the Finance Industry
2010 (FinanceCom 2010), Frankfurt, Germany
Member of the Program Committee of the
10th IFIP Conference on e-Business, e-Services,
and e-Society (I3E 2010), Buenos Aires, Argen -
tinia
Member of the Program Committee of the
Workshop “Service Level Management” at
the 40. Jahrestagung der Gesellschaft für
Infor matik, 2010, Leipzig, Germany
Member of the Program Committee of the 12th
International Conference on Business Infor -
mation Systems (BIS 2010), Poznan, Poland
Weitere Funktionen
Other Functions
Prodekan für IT & Öffentlichkeitsarbeit
Jurymitglied UGO-Preis 2010
Mentor für BMBF-geförderte
Unternehmensgründung „maxcluster“
Aktuelle Forschungsprojekte
Current Research Projects
Utilization Levels and Productivity Effects of
Information Technology Investments
Explaining productivity effects of factor inputs
is an important research topic since improving
the general standard of living is highly dependent
on the ability to grow businesses, industries
and economies, thereby increasing output.
While the productivity effects of labor and noninformation
technology capital and their interrelations
in the transformation process to output
have recently become better understood,
researchers still struggle to explain the full productivity
effects of investments in information
technology (IT) capital. Explaining these full
effects is critical because, increasingly, IT
enable innovation, is the foundation for efficient
intra- and inter-organizational processes,
and determines how industries conduct business.
In the last twenty years and especially
with the advent of the information age, IS
researchers have made good progress in
laying the basis for an explanatory model that
includes IT as a separate input factor to explain
productivity effects of IT investments by extending
standard production theoretical models
using e.g. the Cobb-Douglas or Translog production
functions. These standard models typically
assume complete or at least constant factor
utilization. Given fluctuations in the utilization
of input factors – especially in severe economic
downturns as we currently observe – and
absent the opportunity to adjust the IT capital
input in the short term, there are numerous
measurement issues that have to be analyzed
and dealt with in order to extend the models
and derive more accurate productivity estimates
of IT investments. This project is supported
by the DAAD, Bonn.
Optimal global sourcing of software development
projects
With the main focus on cost reduction in valuation
of sourcing alternatives, risk and risk diversification
effects are often inadequately considered
or completely neglected in decisions associated
with global sourcing decisions for software
development projects. This systematically
results in poor decisions. In this project, we
analyze sourcing costs and associated risks as
well as interdependencies among both sites
and projects. The special focus here is on the
identification of correlation effects between
sites. A normative model shall be developed,
based on e.g. modern portfolio theory, and validated
using data from IT services providers.
IT events and their effect on prices and markets
Securities exchanges are becoming increasingly
automated. Over the course of the past years,
most major exchanges have upgraded their trading
infrastructure to accommodate the increase
in algorithmic trading. E.g. about half of all
trades executed on XETRA, the fully electronic
cash market system operated by Deutsche
Börse, are generated by algorithmic trading
engines. The effects of IS (in terms of infrastructure
or in terms of automated trading on the
market outcome as well as on the development
of the financial markets in general) are so far
not well understood. In this project, using primarily
the event study methodology, IT-driven
events will be analyzed with respect to their
different impacts on financial markets. At the
same time, we address and explore the method -
ological challenges associated with applying
the event-study methodology to financial market
data.
Web services platform to analyze mass data
With the dramatic increase in the speed and
availability of computer networks, a significant
proportion of all economic activities is now conducted
electronically. In particular, the field of
financial trading has seen an unprecedented
increase in both the number of participants and
the volume of trades conducted via electronic
markets. As a result, high frequency data has
become increasingly available for historical
analysis by researchers in fields like econometrics,
finance and accounting. Analyzing such
datasets requires – at least – expert domain
knowledge (e.g. in finance and microeconomics),
experience, and IT skills. In addition to
being able to identify suitable data sources and
specify the right search criteria, users must be
able to perform a wide range of analysis functions
(statistical, data mining, language processing)
and present results in a suitable form
(e.g. through visualization or report creation).
Analysis processes cannot be determined in
advance as users tend to perform tasks in a
piecemeal fashion. When the type of analysis
is complex, users spend a lot of effort cleaning,
reading and interpreting the data, converting
datasets from one format to another, copying
some results from one file to another, and merging
datasets with different semantics. These
activities increase analysis time and the risk of
errors. In this project, an environment will be
developed that supports a Service-Oriented
Architecture (SOA), making it possible to define
re-usable and interoperable software components
as web services which can manipulate
the elements of an underlying, event-based
data model. Such a model allows a coherent
representation of market activities – particularly
high-frequency market and news data – as
events.
Optimization of tariff structures for mobile
phone contracts
Given the demand mobile voice and data communication
services, contracted tariff structures
determine the costs an organization has to
bear. Due to complicated and comprehensive
tariff structures the attribution of costs to specific
tariff categories constitutes a challenge.
However, for successful negotiations of future
contracts, cost transparency is a necessary
requirement. In this project, an analysis and
simulation of different tariff structures are evaluated
based on historical data and recommen-