This study explores technology acceptance on food waste in consumer behavior using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study examines performance expectancy, effort expectancy, social influence, and facilitating conditions as independent variables, while behavior as the dependent variable and behavioral intention as an intermediary variable. The study employed a quantitative method, collecting data from 260 participants in Greater Jakarta through a survey distributed via various communications channel between August until December 2024. The results reveal that behavioral intention and use behavior are strongly influenced by effort expectancy, underscoring the significance of system usability in promoting adoption. Although performance expectancy and social influence impact behavioral intention, they have no direct effect on use behavior. In conclusion, this study emphasizes the need to enhance user friendliness and provides strong support to drive greater adoption of food waste reduction technologies and suggested additional and broader demographic factors to deepen the understanding of technology acceptance in future studies.

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Technology Acceptance on Food Waste Application with UTAUT Model

  • Anastasia Feriana Santoso,
  • Jessica Aulia,
  • Velya Verisca,
  • Tiurida Lily Anita,
  • Farah Levyta

摘要

This study explores technology acceptance on food waste in consumer behavior using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study examines performance expectancy, effort expectancy, social influence, and facilitating conditions as independent variables, while behavior as the dependent variable and behavioral intention as an intermediary variable. The study employed a quantitative method, collecting data from 260 participants in Greater Jakarta through a survey distributed via various communications channel between August until December 2024. The results reveal that behavioral intention and use behavior are strongly influenced by effort expectancy, underscoring the significance of system usability in promoting adoption. Although performance expectancy and social influence impact behavioral intention, they have no direct effect on use behavior. In conclusion, this study emphasizes the need to enhance user friendliness and provides strong support to drive greater adoption of food waste reduction technologies and suggested additional and broader demographic factors to deepen the understanding of technology acceptance in future studies.