Designing a maturity model for analyzing information and knowledge management in the public sector

Aki Jääskeläinen, Virpi Sillanpää, Nina Helander, Riikka-Leena Leskelä, Ira Haavisto, Valtteri Laasonen, Paulus Torkki

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This study aims to report the design and testing of a maturity model for information and knowledge management in the public sector, intended for use in frequent monitoring, trend analysis and in-depth analysis of the contemporary information and knowledge management practices of an organization.

A design science approach was used to develop the proposed model. Creation of the model was based on an extensive literature review. Testing of the model was implemented as a survey receiving 37 responses from nine organizations organizing and purchasing public services.

The study presents four alternative profiles for an organization’s status, novice, experimenter, facilitator and advanced exploiter, and investigates the differences between these profiles on the basis of the empirical data gathered. The model was found to be both a valid and practical way to determine the state of an organization’s information and knowledge management and identify development needs.

Research limitations/implications
Testing was conducted in the Finnish public sector and further studies applying the model could be implemented in other countries. The model presented was designed specifically for the public sector and more research is needed to test its applicability in the private sector.

Maturity models are useful when evaluating information and knowledge management status in an organization, and beneficial for improving organizational performance. The proposed maturity model combines the fields of knowledge management and information management and contributes to the literature with an overarching maturity model that includes a dimension of satisfaction with the organizational maturity level. While many earlier models originate from the consultancy business, the model presented here was also designed for research purposes and tested in practice.
Original languageEnglish
Pages (from-to)120-140
JournalVINE: the journal of information and knowledge management systems
Issue number1
Early online date2020
Publication statusPublished - 2022
Publication typeA1 Journal article-refereed

Publication forum classification

  • Publication forum level 1


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