Strategic opportunities (and challenges) of algorithmic decision-making: a call for action on the long-term societal effects of 'datification'

Newell, Susan and Marabelli, M (2015) Strategic opportunities (and challenges) of algorithmic decision-making: a call for action on the long-term societal effects of 'datification'. The Journal of Strategic Information Systems. ISSN 0963-8687

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Abstract

Today, digital data are captured through a variety of devices that have the ability to monitor the minutiae of an individual’s everyday life. These data are often processed by algorithms, which support (or drive) decisions (termed ‘algorithmic decision-making’ in this article). While the strategic value of these data (and subsequent analysis) for businesses is unquestionable, the implications for individuals and wider society are less clear. Therefore, in this Viewpoint article we aim to shed light on the tension between businesses – that increasingly profile customers and personalize products and services – and individuals, who, as McAfee and Brynjolfsson (2012, p. 5) suggest, are ‘walking data generators’ but are often unaware of how the data they produce are being used, and by whom and with what consequences. Issues associated with privacy, control and dependence arise, suggesting that social and ethical concerns related to the way business is strategically exploiting digitized technologies that increasingly support our everyday activities should be brought to the fore and thoughtfully discussed. In this article we aim to lay a foundation for this discussion in the IS community and beyond.

Item Type: Article
Schools and Departments: School of Business, Management and Economics > Business and Management
Subjects: H Social Sciences
Depositing User: Joy Blake
Date Deposited: 04 Mar 2015 10:59
Last Modified: 04 Jun 2015 12:34
URI: http://sro.sussex.ac.uk/id/eprint/53201
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