Selection and training of super-users for ERP implementation projects

ABSTRACT

The concept of super-users as a means to facilitate Enterprise resource planning (ERP) implementation projects has recently taken a foothold in practice but remains largely unexplored from an academic perspective. In particular, little is known about the selection and training processes required to successfully develop skilled super-users in practice. To address this research gap, we analyze the case of an ERP implementation program at Vestas, the world’s largest manufacturer of wind turbines. We combine Katz’s widely accepted skill measurement model with the process observed in practice to describe and validate a model of super-user selection and training. The resulting model contains a systematic process of super-user development and highlights the specific skills required in different phases of the selection and training process. Our results from a comparative assessment of management expectations and super-user skills show that the model can be successfully applied and thus serve as a template for practitioners confronted with similar challenges.

Additional information

Notes on contributors

Nikolaus Obwegeser

Nikolaus Obwegeser holds a PhD in Information Business from the Vienna School of Economics and Business, Austria, and currently works as a Research Scientist at the Global Center for Digital Business Transformation at IMD Business School, Switzerland. Nikolaus conducts research at the intersection of technology, society, and organizations, with a particular focus on the transformative role of emerging technologies and digital innovation. His works are published in renowned international journals and conferences in the field of information systems and innovation.

Peter Danielsen

Peter Danielsen received his Master’s degree in Business Intelligence from Aarhus University, Denmark, in 2018. He is currently employed by Vestas Wind Systems A/S as a Lead Analyst.

Kenneth Sandfeld Hansen

Kenneth Sandfeld Hansen received his Master’s degree in Business Intelligence from Aarhus University, Denmark, in 2018, and is currently employed by PA Consulting Group as a Management Consultant in Business - and IT transformation.

Mads Aa. Helt

Mads Aa. Helt received his Master’s degree in Business Intelligence from Aarhus University, Denmark, in 2018, and is currently employed by KPMG as a management consultant in KPMG NewTech. His interest is within digital transformation with specific focus on how artificial intelligence can drive significant impact in every activity of the value chain. He has prior experience from research and project management related jobs in both the public and private sector.

Lasse Holm Nielsen

Lasse Holm Nielsen received his Master’s degree in Business Intelligence from Aarhus University, Denmark, in 2018. He is currently employed as a Consultant by QVARTZ Analytics, Denmark.