Gastvortrag von Prof. Dr. Thomas Hess (LMU München)

Am 30. Januar 2025 um 16:00  Uhr in Raum 42-221

 

A Revised Framework for Digital Transformation Strategies

To accomplish their digital transformation, organizations need to develop appropriate digital transformation strategies that serve as a blueprint to govern organizational and technological aspects associated with the transformation. The widely cited Digital Transformation Framework by Matt et al.  highlights the role of the use of technologies for changes in value creation and structural changes in the context of the financial situation of an organization. Recent technological developments, for example in the area of AI, and the discourse around the role of identity in digital transformation call for a reexamination of this framework. In the face of these developments, we use three companies that completed a successful digital transformation to put the framework to the test. The revised and expanded framework presents corporate identity as a central building block along the other dimensions and further differentiates the technological view. Our findings are relevant to the discourse on digital transformation strategies as well as for corporate decision-makers who oversee or engage in digital transformation initiatives.

About: Thomas Hess is Full Professor of Information Systems and Management at the Ludwig-Maximilians-Universität München (LMU), LMU Munich School of Management, where he also serves as director of the Institute for Digital Management and New Media. He is also co-director of the Bavarian Research Institute for the Digital Transformation and member of the Bavarian Academy of Sciences and Humanities. His work has appeared in international journals such as MIS Quarterly, Journal of Management Information Systems, European Journal of Information Systems, Electronic Markets, and Long Range Planning. Professor Hess has also published in the proceedings of conferences such as ICIS and in journals for the management practice like MISQ Executive. His work has, according to Google Scholar, already been cited more than 30,000 times.