4.6 Article

Unravelling the Relationship between Competitiveness Trait and Intention to Use Memory Implants: The Moderating Roles of Moral Equity, Egoism, and Utilitarianism

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TAYLOR & FRANCIS INC
DOI: 10.1080/10447318.2023.2291621

Keywords

Cyborg; memory implants; competitiveness trait; moral equity; egoism; utilitarianism; behavioral intention

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This study investigates the prediction of competitiveness traits on the intention to use memory implant technology, and explores the moderating roles of moral equity, egoism, and utilitarianism. The results reveal a significant positive relationship between competitiveness traits and the intention to use memory implants. Additionally, the relationship is weaker for individuals high in moral equity and stronger for those high in utilitarianism. Egoism does not influence this relationship. This research enhances understanding of how competitiveness traits and ethical judgments influence the acceptance of human-machine hybrid technologies, improving competence.
Technological advancements and augmenting technologies foster competitiveness and improved performance for businesses, nations, and individuals. The potential of memory implants offers a competitive edge to individuals seeking higher performance levels. The present study investigates whether the trait of competitiveness predicts the intention to use memory implants and explores how moral equity, egoism, and utilitarianism moderate this relationship. A total of 402 digital native technology users from four countries participated in the study. The results revealed a significant positive relationship between competitiveness traits and the intention to use memory implants. Furthermore, this relationship is weaker for individuals scoring high on moral equity against memory implants but stronger for those scoring high on utilitarianism in favor of memory implants. Egoism did not influence this relationship. This research improves the understanding of how competitiveness traits and ethical judgments influence the acceptance of human-machine hybrid technologies, enhancing competence.

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