Enhancing AIKU Adoption: Insights from the Role of Habit in Behavior Intention

Enhancing AIKU Adoption: Insights from the Role of Habit in Behavior Intention

March 2024 | Irwan Sembiring, Untung Rahardja, Danny Manongga, Qurotul Aini, Abdul Wahab
This research explores the role of habit in sustaining the adoption and continuous use of AIKU (Artificial Intelligence Kualitas Udara), an AI-based air quality monitoring system. The study employs the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model, incorporating the Habit variable (HT) along with other key variables: Performance Expectancy (PEX), Effort Expectancy (EEX), Price Value (PV), Social Influence (SIN), Behavioral Intention (BIN), and User Behavior (UB). The research methodology involves data analysis using SmartPLS 4.0 software, with survey data collected from 414 AIKU users in Indonesia. Key findings indicate that PEX, EEX, and PV significantly positively influence BIN, while HT significantly positively influences both BIN and UB. BIN also significantly positively influences UB. The study highlights the importance of psychological factors in technology acceptance and retention, providing valuable insights for future strategy and policy development. The research contributes to the literature by emphasizing the crucial role of habit in sustaining AIKU usage, suggesting that cultivating positive habits can be an effective strategy to enhance user trust and confidence in AIKU.This research explores the role of habit in sustaining the adoption and continuous use of AIKU (Artificial Intelligence Kualitas Udara), an AI-based air quality monitoring system. The study employs the UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) model, incorporating the Habit variable (HT) along with other key variables: Performance Expectancy (PEX), Effort Expectancy (EEX), Price Value (PV), Social Influence (SIN), Behavioral Intention (BIN), and User Behavior (UB). The research methodology involves data analysis using SmartPLS 4.0 software, with survey data collected from 414 AIKU users in Indonesia. Key findings indicate that PEX, EEX, and PV significantly positively influence BIN, while HT significantly positively influences both BIN and UB. BIN also significantly positively influences UB. The study highlights the importance of psychological factors in technology acceptance and retention, providing valuable insights for future strategy and policy development. The research contributes to the literature by emphasizing the crucial role of habit in sustaining AIKU usage, suggesting that cultivating positive habits can be an effective strategy to enhance user trust and confidence in AIKU.
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