Enterprise Content Analytics

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Type and Duration

FFF-Förderprojekt, March 2015 until February 2018 (finished)


Hilti Chair of Business Process Management

Main Research

Business Process Management

Field of Research

Content Management


The aim of the project is to evaluate the applicability of data-analytics methods for analyzing unstructured content in enterprise contexts. As such, the project is located at the intersection of data analytics and enterprise content management. The project work focuses on text-mining methods and evaluates their applicability for describing, explaining, and predicting organizational activities using internal and external content.

Reference to Liechtenstein

The project deals with enterprise content management and (big) data analytics, two topics of high relevance for the regional industry. The project is conducted in close cooperation with two regional companies, Hilti and Ivoclar Vivadent. The project results will be made available to other companies in workshops and presentations.


Enterprise Content Management (ECM), Big Data, Content Management, Document Management, Data analytics


  • Jaakonmäki, R., Simons, A., Müller, O., & vom Brocke, J. (2018). ECM Implementations in Practice: Objectives, Processes, and Technologies. Journal of Enterprise Information Management (JEIM), 31(5), 704-723. (ABDC_2019: A; ABS_2021: 2; VHB_3: C)

  • Jaakonmäki, R., Müller, O., & vom Brocke, J. (2017). The Impact of Content, Context, and Creator on User Engagement in Social Media Marketing. Paper presented at the 50th Hawaii International Conference on System Sciences (HICSS), Hawaii, USA. (VHB_3: C)