Narrowing Data Protection's Enforcement Gap

Lancieri, Filippo Maria

doi:10.2139/ssrn.3806880

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…Even under the predecessor of the Privacy Shield (the Safe Harbour Agreement), firm compliance was low (Dhont et al 2004;Marotta-Wurgler & Svirsky 2023). Low compliance with transatlantic privacy rules has haunted EU-US trade for more than two decades (see also Lancieri 2022).…”

Section: Discussionmentioning

confidence: 99%

The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR

Zac,

Wey,

Bechtold

et al. 2024

SSRN Journal

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Section: Discussionmentioning

confidence: 99%

The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR

Zac,

Wey,

Bechtold

et al. 2024

SSRN Journal

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“…This paper complements a growing body of work that discusses the CCPA's implications and evaluates its eectiveness as a safeguard of consumer rights [27,47,48,57].…”

Section: Measuring Ccpa Compliancementioning

confidence: 98%

Measuring Compliance with the California Consumer Privacy Act Over Space and Time

Tran,

Mehrotra,

Chetty

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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The widespread sharing of consumers' personal information with third parties raises signicant privacy concerns. The California Consumer Privacy Act (CCPA) mandates that online businesses oer consumers the option to opt out of the sale and sharing of personal information. Our study automatically tracks the presence of the opt-out link longitudinally across multiple states after the California Privacy Rights Act (CPRA) went into eect. We categorize websites based on whether they are subject to CCPA and investigate cases of potential non-compliance. We nd a number of websites that implement the opt-out link early and across all examined states but also nd a signicant number of CCPA-subject websites that fail to oer any opt-out methods even when CCPA is in eect. Our ndings can shed light on how websites are reacting to the CCPA and identify potential gaps in compliance and optout method designs that hinder consumers from exercising CCPA opt-out rights.

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“…Additionally, energy companies must address concerns related to algorithmic bias and fairness, particularly when deploying predictive analytics in areas such as pricing and resource allocation. Adopting ethical guidelines and implementing robust governance frameworks can help mitigate these risks and build trust among customers and regulators (Baik, 2020;Lancieri, 2022).…”

Section: Understanding Data Analytics In Energy Corporationsmentioning

confidence: 99%

Data analytics in energy corporations: Conceptual framework for strategic business outcomes

Oladiran Kayode Olajiga,

Kehinde Andrew Olu-lawal,

Favour Oluwadamilare Usman

et al. 2024

World J. Adv. Res. Rev.

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Data analytics has emerged as a pivotal tool for energy corporations to navigate the complexities of the modern market landscape, optimize operations, and drive strategic decision-making. This abstract presents a conceptual framework delineating the role of data analytics in fostering strategic business outcomes within energy corporations. At its core, the framework emphasizes the integration of advanced data analytics methodologies with the unique operational dynamics of the energy sector. It begins by delineating the data sources available to energy corporations, ranging from sensor data in oil and gas exploration to customer consumption patterns in utilities. These diverse data streams form the foundation upon which analytics-driven insights are built. Central to the framework is the notion of actionable intelligence derived from data analytics. By harnessing advanced analytics techniques such as machine learning, predictive modeling, and optimization algorithms, energy corporations can extract meaningful insights from vast and disparate datasets. These insights facilitate informed decision-making across various business functions, including asset management, supply chain optimization, demand forecasting, and risk mitigation. Furthermore, the framework underscores the importance of leveraging real-time data analytics capabilities to enhance operational agility and responsiveness. In a rapidly evolving energy landscape characterized by fluctuating market dynamics and regulatory changes, the ability to extract actionable insights in real-time confers a competitive advantage. Moreover, the framework advocates for a holistic approach to data analytics integration, encompassing not only technological infrastructure but also organizational culture and capabilities. Effective implementation of data analytics initiatives necessitates alignment with strategic objectives, executive sponsorship, and the cultivation of a data-driven mindset throughout the organization. Ultimately, the conceptual framework presented herein serves as a roadmap for energy corporations seeking to harness the transformative potential of data analytics to drive strategic business outcomes. By embracing data-driven decision-making, these organizations can enhance operational efficiency, optimize resource allocation, mitigate risks, and capitalize on emerging market opportunities in an increasingly data-centric environment.

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Narrowing Data Protection's Enforcement Gap

Cited by 6 publications

References 19 publications

The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR

The Court Speaks, But Who Listens? Automated Compliance Review of the GDPR

Measuring Compliance with the California Consumer Privacy Act Over Space and Time

Data analytics in energy corporations: Conceptual framework for strategic business outcomes

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