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Paper Type

Complete

Abstract

Uncontrolled EV charging creates spikes in electricity consumption, risking power system stability. A solution to this is smart charging, where energy suppliers take advantage of EV users' flexibility to charge the EVs at low-demand periods. However, the user acceptance of smart charging is highly dependent on perceived benefits. It also relies on the willingness of EV users to facilitate smart charging by sharing sensitive information such as charging, location or calendar data. No prior research has investigated how individual factors, such as gender, may impact the willingness to share data for smart charging. Drawing on privacy calculus and social role theories, we explore gender differences in data sharing for smart charging and analyze the effect of monetary incentives. Analyzing survey data (n = 383), our results demonstrate that gender significantly influences decisions to share information related to smart charging, which has implications for decision makers in energy companies.

Paper Number

1711

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2024/papers/1711

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Aug 16th, 12:00 AM

The Role of Gender in Data Sharing for Smart Charging of Electric Vehicles

Uncontrolled EV charging creates spikes in electricity consumption, risking power system stability. A solution to this is smart charging, where energy suppliers take advantage of EV users' flexibility to charge the EVs at low-demand periods. However, the user acceptance of smart charging is highly dependent on perceived benefits. It also relies on the willingness of EV users to facilitate smart charging by sharing sensitive information such as charging, location or calendar data. No prior research has investigated how individual factors, such as gender, may impact the willingness to share data for smart charging. Drawing on privacy calculus and social role theories, we explore gender differences in data sharing for smart charging and analyze the effect of monetary incentives. Analyzing survey data (n = 383), our results demonstrate that gender significantly influences decisions to share information related to smart charging, which has implications for decision makers in energy companies.

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