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The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model

Mini Dissertation (MBA)--University of Pretoria, 2021.

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Other Authors: Magwegwe, Frank
Format: Thesis
Language:English
Published: University of Pretoria 2022
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access_status_str Open Access
author2 Magwegwe, Frank
author_browse Magwegwe, Frank
author_facet Magwegwe, Frank
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Mini Dissertation (MBA)--University of Pretoria, 2021.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:42.021Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/85482 The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model Magwegwe, Frank Britton, Abigail UCTD Mini Dissertation (MBA)--University of Pretoria, 2021. This research sought to describe the influence that moral intensity has on managers’ decision-making in the context of artificial intelligence (AI)-based online personalised pricing models. Moral intensity is a construct from the issue-contingent model, a decision-making framework stating that the more morally intense an issue, the more moral the judgement applied in decision-making. Jones (1991) described moral intensity as the proportionality of moral responsibility. Of the six factors of moral intensity in the issue-contingent model, three were used in this research: social consensus, magnitude of consequences and likelihood of effect. A hypothetical scenario was described about an online AI-based personalised pricing model for groceries. Experimental vignette methodology was used, in which eight vignettes were described with varying levels of moral intensity and questions on moral judgement were posed on each vignette. Personal characteristics of the decision-maker were also captured to account for variation they may cause in decision-making. Univariate analyses of variance and covariance were conducted. Findings were that personal characteristics have no influence on decision-making in this context, but each of the factors of moral judgement do. Implications are that moral decision-making in the use of AI-based online personalised pricing models can be improved by increasing the awareness of probable consequences and of the social opinion on whether these types of models are considered fair. zl22 Gordon Institute of Business Science (GIBS) MBA Unrestricted 2022-05-17T11:21:47Z 2022-05-17T11:21:47Z 2022/04/07 2021 Mini Dissertation * https://repository.up.ac.za/handle/2263/85482 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title_full The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title_fullStr The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title_full_unstemmed The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title_short The influence of moral intensity on decision-making in the context of an artificial intelligence-based online personalised pricing model
title_sort influence of moral intensity on decision making in the context of an artificial intelligence based online personalised pricing model
topic UCTD
url https://repository.up.ac.za/handle/2263/85482