A realistic evaluation of the dark side of data in the digital ecosystem

Author:

Jaber Faten1ORCID,Abbad Muneer2

Affiliation:

1. Digital Marketing and Analytics, Oxford Brookes University, UK

2. Logistics and Supply Chain Management, Community College of Qatar, Qatar

Abstract

This article examines the negative consequences that can arise from the utilisation of innovative data practices implemented by organisations. While these technologies offer significant value, their improper implementation can lead to harmful practices that undermine the rights of individuals within societies. Through a systematic literature review of 383 articles employing the realistic evaluation theory, this study synthesises key findings to identify the contextual factors that contribute to these harmful practices. The results highlight the challenges posed by the characteristics of Big Data, often resulting in haphazard data implementation scenarios. Three critical mechanisms, namely data transparency, biases, and breaches, interact with these implementation contexts, leading to adverse outcomes that compromise individual empowerment, societal fairness, and personal privacy. In addition, this article identifies important areas for future research and provides recommendations for policymakers to effectively manage the negative aspects of data practices, ensuring sustainability within the digital ecosystem.

Publisher

SAGE Publications

Subject

Library and Information Sciences,Information Systems

Reference100 articles.

1. World Economic Forum. Fourth industrial revolution, https://www.weforum.org/focus/fourth-industrial-revolution (2018, accessed 19 January 2023).

2. Big Data and Firm Performance: An Outside-in Approach

3. Business Intelligence and Analytics: From Big Data to Big Impact

4. Algorithmic accountability

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