Godefroid, Marie

Schaefer, Cindy

Stelter, Aida

English

Plattfaut, Ralf

Niehaves, Bjoern

AIS Electronic Library (AISeL)

Association for Information Systems AIS Electronic Library (AISeL) ICIS 2022 TREOs TREO Papers 12-12-2022 How Biases Influence IT Affordances – A Qualitative Study Marie Godefroid Universität Siegen, marie.godefroid@uni-siegen.de Aida Stelter University of Siegen, aida.stelter@uni-siegen.de Cindy Schaefer University of Siegen, cindy.schaefer@uni-siegen.de Follow this and additional works at: https://aisel.aisnet.org/treos_icis2022 Recommended Citation Godefroid, Marie; Stelter, Aida; and Schaefer, Cindy, "How Biases Influence IT Affordances – A Qualitative Study" (2022). ICIS 2022 TREOs. 1. https://aisel.aisnet.org/treos_icis2022/1 This material is brought to you by the TREO Papers at AIS Electronic Library (AISeL). It has been accepted for inclusion in ICIS 2022 TREOs by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact elibrary@aisnet.org. TREO Technology, Research, Education, Opinion Presentation at TREO Talks in conjunction with the 43rd International Conference on Information Systems, ICIS 2022 TREO Talks are not peer-reviewed and not a formal part of the ICIS 2022 Proceedings All TREO Talks are available in the TREO Talks section of the AIS e-Library How Biases Influence IT Affordances – A Qualitative Study  Marie-E. Godefroid <marie.godefroid@uni-siegen.de>; Ralf Plattfaut <plattfaut.ralf@fh-swf.de>   When individuals start using new technologies – either because the technology solves a problem or enables them to do new things – they do so based on their perceived affordances. However, perceived affordances can vary between individuals. IT affordances refer to the possibilities of action that users perceive in IT artifacts based on their goal orientation and use environment (Markus and Silver 2008). Different pre-conditions could explain variances in how individuals use systems (actualize affordances) for the same purpose. As the actualization of affordances by individuals is based on their perception, different pre-conditions could lead to differences in perception and thus use.  Two effects that could explain these differences come from cognitive bias research: Both status quo bias and availability bias have been found to affect technology-related choices (Kim and Kankanhalli 2009; Hong et al. 2011). Availability bias is when individuals unduly place more weight on recent data or experiences, thus skewing their interpretation of the available information and their decisions (Hong et al. 2011). Status quo bias is a biased preference for the current way of doing things, thus impeding innovation as that would potentially mean change (Kim and Kankanhalli 2009).  Figure 1. Potential user reactions to a new system In this talk we discuss first insights from qualitative data analysis on the effects of cognitive biases on the affordance actualization process References Hong, W.; Thong, J. Y. L.; Chasalow, L. C.; Dhillon, G. (2011): User acceptance of agile information systems: A model and empirical test. In Journal of Management Information Systems 28 (1), pp. 235–272. DOI: 10.2753/MIS0742-1222280108. Kim, H.-W.; Kankanhalli, A. (2009): Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. In MIS Quarterly 33 (3), pp. 567–582. Markus, M. L.; Silver, M. (2008): A foundation for the study of IT effects: A new look at DeSanctis and Poole’s concepts of structural features and spirit. In Journal of the Association for Information Systems 9 (10), pp. 609–632. DOI: 10.17705/1jais.00176.                                                                                                                                                                                                                                                                                                     

How Biases Influence IT Affordances – A Qualitative Study

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How Biases Influence IT Affordances – A Qualitative Study

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