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Classification systems, their digitization and consequences for data-driven decision making: Understanding representational quality

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posted on 2023-06-08, 19:06 authored by Mari-Klara Stein, Susan Newell, Robert D Galliers, Erica L Wagner
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, renarration 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. © (2013) by the AIS/ICIS Administrative Office All rights reserved.

History

Publication status

  • Published

Journal

International Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design

Volume

1

Page range

737-754

Presentation Type

  • paper

Event name

International Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design

Event location

Milan, Italy

Event type

conference

Event date

15-18 December 2013

Department affiliated with

  • Business and Management Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2014-11-26

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