Towards Ethical Big Data Artifacts: A Conceptual Design

Tona, Olgerta; Someh, Ida Asadi; Mohajeri, Kaveh; Shanks, Graeme; Davern, Michael; Carlsson, Sven; Kajtazi, Miranda

doi:10.24251/hicss.2018.571

Cited by 4 publications

(4 citation statements)

References 18 publications

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“…22). Conversely, researchers are investigating ways to incorporate ethics and transparency considerations into the design of Big Data artifacts and algorithms (Tona et al, 2018; Watson and Nations, 2019).…”

Section: Data Management Capabilities For the Eu-gdprmentioning

confidence: 99%

Building data management capabilities to address data protection regulations: Learnings from EU-GDPR

Labadie

Legner

2023

Journal of Information Technology

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The European Union’s General Data Protection Regulation (EU-GDPR) has initiated a paradigm shift in data protection toward greater choice and sovereignty for individuals and more accountability for organizations. Its strict rules have inspired data protection regulations in other parts of the world. However, many organizations are facing difficulty complying with the EU-GDPR: these new types of data protection regulations cannot be addressed by an adaptation of contractual frameworks, but require a fundamental reconceptualization of how companies store and process personal data on an enterprise-wide level. In this paper, we introduce the resource-based view as a theoretical lens to explain the lengthy trajectories towards compliance and argue that these regulations require companies to build dedicated, enterprise-wide data management capabilities. Following a design science research approach, we propose a theoretically and empirically grounded capability model for the EU-GDPR that integrates the interpretation of legal texts, findings from EU-GDPR-related publications, and practical insights from focus groups with experts from 22 companies and four EU-GDPR projects. Our study advances interdisciplinary research at the intersection between IS and law: First, the proposed capability model adds to the regulatory compliance management literature by connecting abstract compliance requirements to three groups of capabilities and the resources required for their implementation, and second, it provides an enterprise-wide perspective that integrates and extends the fragmented body of research on EU-GDPR. Practitioners may use the capability model to assess their current status and set up systematic approaches toward compliance with an increasing number of data protection regulations.

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Section: Data Management Capabilities For the Eu-gdprmentioning

confidence: 99%

Building data management capabilities to address data protection regulations: Learnings from EU-GDPR

Labadie

Legner

2023

Journal of Information Technology

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“…Stakeholder theory argues that in the context of big data, organizations have higher power, legitimacy, urgency and salience than that of individuals and societies (Tona et al, 2018). This challenge urges stakeholders to understand and capitalize on big data through nontraditional engagements.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Thus, the interaction between modern communication tools and sustainability targets poses a critical challenge for all the stakeholders (Gürsoy and Yücelen, 2017). Stakeholder theory argues that in the context of big data, organizations have higher power, legitimacy, urgency and salience than that of individuals and societies (Tona et al , 2018). This challenge urges stakeholders to understand and capitalize on big data through nontraditional engagements.…”

Section: Literature Reviewmentioning

confidence: 99%

Challenges with big data analytics in service supply chains in the UAE

Khan

2019

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Purpose The purpose of this paper is to study the challenges associated with big data analytics (BDA) in service supply chains in the United Arab Emirates (UAE). Design/methodology/approach A comprehensive questionnaire has been developed based on semi-structured interviews with different administrators and IT experts. In the second phase, data (n=164) are collected from procurement, operations, administration and customer service staff in the UAE. In the third phase, responses are examined using principal component analysis to identify eight major challenges for big data. A structural model is developed to examine the significance of these dimensions to the notion of big data challenges in supply chains. Findings The statistical model shows 66 percent variance of response to BDA, which is caused by technical, cultural, ethical, operational, tactical, procedural, functional and organizational challenges. These are positively correlated measurement challenges with BDA in service supply chains. Research limitations/implications Service supply chain professionals and stakeholders believe that catering to the challenges with BDA must be a multi-faceted approach and not limited to specific practices. Practical implications The challenges with BDA should be taken into planning and implementation from a holistic perspective. The framework in this paper can have both theoretical and practical implications. Originality/value The contribution of this paper is to advance the understanding of BDA in service sector by viewing it from the perspective of different stakeholders.

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“…The conclusion, however, was that these models are incompatible with current data protection laws. Tona et al (2018) presented "a conceptual design for an artifact that will raise awareness amongst individuals about Big Data ethical issues and help to restore the power balance between individuals and organizations." Their proposal was constructed upon five dimensions derived from the European GDPR, such as consent, the right to be forgotten, the right to access, data portability, and data circulation.…”

Section: Proposals and Perspectivesmentioning

confidence: 99%

Effects of data protection laws on data brokerage businesses

Birckan¹,

Dutra

Macedo

et al. 2018

ICST Transactions on Scalable Information Systems

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For years now, players known as data brokers have operated on an unregulated market, by building businesses from the aggregation and processing of data, away from public scrutiny. Due to the genesis of laws that ended up exposing their model, along with debates on data privacy, a new generation of data protection acts, much stricter, are being enacted worldwide. The shift away from the data commoditization paradigm might, at first, indicate the extinction of such businesses. In this paper, we present related concepts and a brief history that led to that current scenario, along with some collaborativeoriented proposals for the adequacy of the data brokerage industry to a transparent perspective.

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Towards Ethical Big Data Artifacts: A Conceptual Design

Cited by 4 publications

References 18 publications

Building data management capabilities to address data protection regulations: Learnings from EU-GDPR

Building data management capabilities to address data protection regulations: Learnings from EU-GDPR

Challenges with big data analytics in service supply chains in the UAE

Effects of data protection laws on data brokerage businesses

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