Classification systems are foundational in many standardized software tools. This digitization of classification systems gives them a new ‘materiality’ that, jointly with the social practices of information producers/consumers, has significant consequences on the representational quality of such information systems. Based on a multi-site field study, we suggest that representational quality is achieved through four types of negotiations that human actors engage in when confronted with the materiality of a new IS. These negotiations are associated with three broad practices (instantiation, re-narration and meta-narration), and three different information production/consumption situations. We contribute to the relational theorization of representational quality and extend classification systems research by drawing explicit attention to the importance of ‘materialization’ of classification systems and the foundational role of representational quality in understanding the success and consequences of data-driven decision-making.
|Titel||Proceedings of the 34th International Conference on Information Systems. ICIS 2013|
|Redaktører||Richard Baskerville, Michael Chau|
|Udgivelses sted||Atlanta, GA|
|Forlag||Association for Information Systems. AIS Electronic Library (AISeL)|
|Status||Udgivet - 2013|
|Begivenhed||The 34th International Conference on Information Systems. ICIS 2013: Reshaping Society Through Information Systems Design - Università Bocconi, Milan, Italien|
Varighed: 15 dec. 2013 → 18 dec. 2013
Konferencens nummer: 34
|Konference||The 34th International Conference on Information Systems. ICIS 2013|
|Periode||15/12/2013 → 18/12/2013|
- Representational quality of IS
- Standardized packages
- Data-driven decision-making
Stein, M-K., Newell, S., Galliers, R. D., & Wagner, E. L. (2013). Classification Systems, their Digitization and Consequences for Data-Driven Decision Making: Understanding Representational Quality. I R. Baskerville, & M. Chau (red.), Proceedings of the 34th International Conference on Information Systems. ICIS 2013  Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL).