Proceedings of the 4th International Conference on Economics, Business and Economic Education Science, ICE-BEES 2021, 27-28 July 2021, Semarang, Indonesia

Research Article

Determining Determinants and Barriers that Influence Smart Home Appliances Adoption Intention Using the Behavioral Reasoning Theory Method

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  • @INPROCEEDINGS{10.4108/eai.27-7-2021.2316910,
        author={Qinthar  Alifah and Nurrani  Kusumawati},
        title={Determining Determinants and Barriers that Influence Smart Home Appliances Adoption Intention Using the Behavioral Reasoning Theory Method},
        proceedings={Proceedings of the 4th International Conference on Economics, Business and Economic Education Science, ICE-BEES 2021, 27-28 July 2021, Semarang, Indonesia},
        publisher={EAI},
        proceedings_a={ICE-BEES},
        year={2022},
        month={3},
        keywords={behavioral reasoning theory (brt) internet of things (iot) adoption intention barriers to adoption smart home appliances},
        doi={10.4108/eai.27-7-2021.2316910}
    }
    
  • Qinthar Alifah
    Nurrani Kusumawati
    Year: 2022
    Determining Determinants and Barriers that Influence Smart Home Appliances Adoption Intention Using the Behavioral Reasoning Theory Method
    ICE-BEES
    EAI
    DOI: 10.4108/eai.27-7-2021.2316910
Qinthar Alifah1,*, Nurrani Kusumawati1
  • 1: Institut Teknologi Bandung
*Contact email: qinthar_alifah@sbm-itb.ac.id

Abstract

In today condition, the adoption of Smart Home appliances in Indonesia is not as powerful as expected. As one of the countries with largest number of internet users in the world, Indonesia was initially expected to create a promising market for IoT, especially for the IoT home appliance. However, the country's average revenue per Smart Home built is only estimated to amount USD 40.77 when the worldwide average revenue is predicted to generate USD 392.62. Applying Behavioral Reasoning Theory approach, this research examined the relative influence of context-specific reasons, which are both "reasons for" and "reasons against" in forecasting individual's attitude and intentions in adopting the Smart Home appliances to reduce the market decline. This study surveys 518 active internet users in Indonesia and the researchers use PLS-SEM to evaluate hypotheses and measure the relationship between one variable to another. The findings of the study demonstrate that both "reasons for" and "reasons against" create a significant influence on the Smart Home appliances adoption intention. As the result, among the "reasons for", Convenience serves as the top determinant for Smart Home appliance adoption intention while among the "reasons against", Traditional Barrier acts as the most influencing variable against Smart Home appliance adoption intention.