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Business Innovation, Processes and Models​

The SMEs in the Danish private sector are experiencing challenges in deriving the benefits from the Danish technology strongholds. Though Denmark has a leading position in the domain of digitalisation of governmental work processes, robotics and Industry 4.0 there are still risks of losing momentum and market position internationally due to better exploitation of technologies in other industrial nations.

The objectives are dual. Firstly, the aim is to equip organisations with an understanding of the business potential of advanced technologies in order to strengthen their competitive position in the market.

Secondly, the goal is to advance knowledge in the area of technologies for digitalisation of work and business processes for the digital transformation of the workplace.

To be expected for a cross-cutting theme, there are synergies to be found in all of the seven vertical research themes described above. Not only will the development of new technologies lead to new business potentials and ways to digitalise businesses and workplaces, changes in the organisation of our society, markets and business processes also influence the research in new technologies.

Projects

Bridge project

Business Transformation and Organisational AI-based Decision Making

Together with industry, the project aims to develop methods and tools that enable industry to develop new efficient solutions for exploiting the huge amount of business data generated by enterprise systems, with specific focus on tools and responsible methods for the use of process insights for business intelligence and transformation. 

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Bridge project

AI and Blockchains for Complex Business Processes

Together with industry, this project aims to develop methods and tools that enable the industry to develop new efficient solutions for exploiting the huge amount of business data generated by enterprise and blockchain systems, with specific focus on tools and responsible methods for the use of process insights for business intelligence and transformation. 

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Workstream manager

Helle Zinner Henriksen

HEAD OF DEPARTMENT, PROFESSOR WITH SPECIAL RESPONSIBILITIES

Copenhagen Business School
Department of Digitalization

E: hzh.digi@cbs.dk
T: +45 38 15 24 52

Contributing researchers

Copenhagen Business School
Department of Digitalization

Jan Damsgaard

Professor

Copenhagen Business School
Department of Digitalization

Copenhagen Business School
Department of Digitalization

University of Copenhagen 
Department of Computer Science

Henry Edison

Assistant Professor

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute

Andrea Burattin

Associate Professor

Technical University of Denmark
DTU Compute

Giovanni Meroni

Assistant Professor

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute

Hugo Andrés López

Associate Professor

Technical University of Denmark
DTU Compute

Andrey Rivkin

Assistant Professor

University of Southern Denmark
The Maersk Mc-Kinney Moller Institute