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CC BIE Competence Center Business Innovation Excellence

Im CC BIE arbeiten in der agilen und digitalen Transformation führende öffentliche und private Organisationen unter der Leitung des Instituts für Wirtschaftsinformatik an der Universität St.Gallen (IWI-HSG) gemeinsam daran, Business Innovation und Veränderungsfähigkeit zum primären Erfolgsfaktor zu machen. Das CC BIE ist als Community organisiert und steht unter der wissenschaftlichen Leitung von Prof. Dr. Robert Winter. Für den Transfer in die Praxis sorgt Prof. Dr. Peter Rohner.


Responsible

Prof. Dr. Robert Winter

Responsible

Prof. Dr. Peter Rohner



IS Architecture

This project investigates IS architecture from two distinctive, but interrelated perspectives. While the first part of the project employs a static approach to explain which institutional factors underlie desirable outcomes for IS architecture, the second part opts for a dynamic approach to explain how IS architecture evolves over time. This project combines both static and dynamic explanations to triangulate the generated theories on IS architecture.


Responsible

Prof. Dr. Robert Winter

Responsible

Prof. Dr. Kazem Haki

Supported by

Swiss National Science Foundation



Architectural Thinking

Architectural thinking aims at supporting non-architects and people outside the IT function to adopt holistic, long-term considerations in their daily decisions. To establish architectural thinking we build small interventions such as labels for applications, domains or projects to increase the awareness of employees for architectural goals and provide opportunities to contribute to the goal achievement.


Responsible

Prof. Dr. Robert Winter

Responsible

Prof. Dr. Stephan Aier



Nudging for Data Quality

Many organizations struggle with creating and maintaining data quality in their everyday business. Beyond formal means of control, such as data governance frameworks comprising rules, regulations or regular data quality reviews, in this project we explore lightweight interventions that nudge people in the organization to spend a little more effort here and there, which overall measurable increases the understanding for data quality and data quality itself.


Responsible

Prof. Dr. Stephan Aier