The Efficiency Paradox: What Big Data Can't Do by Edward Tenner (2018)

Examines the potential of big data to improve efficiency in various industries.

Argues that data can be used to eliminate inefficiencies, but it can also create them.

Discussions of how big data can be used to improve decision-making and organizational behavior.

Explores the implications of data-driven decision-making for the future of work.

Explores the idea of “information overload” and how it can lead to decreased efficiency.

Examines the implications of big data for privacy and security.

Analyzes the effects of technology on the labor market, and the potential for it to create jobs in the future.

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