Factors influencing Bingobox technology adoption on consumers' behavioral intentions in Malaysia post-COVID-19

• Main Authors: Abdul Rashid, Nurulizwa, Shaharin, Norshahira, Al-Shami, Samer Ali Hussein
• Format: Article
• Language: English
• Published: Human Resource Management Academic Research Society 2024
• Online Access: http://eprints.utem.edu.my/id/eprint/28049/2/02540050920241233191099.pdf; http://eprints.utem.edu.my/id/eprint/28049/; https://hrmars.com/papers_submitted/22369/factors-influencing-bingobox-technology-adoption-on-consumers-behavioral-intentions-in-malaysia-post-covid-19.pdf

China introduced its pioneering concept of human-free and cashless convenience shops, Bingobox, into the Malaysian market. This innovative retail model allows customers to shop independently, without the assistance of store employees, requiring only the scan of a QR code for access and automatic registration of purchases. Given that this technological system is relatively new to users in Malaysia, the motivation behind this study is to understand the challenges and opportunities presented by this novel retail concept, which has the potential to significantly transform consumer behavior and retail practices in the country. To achieve this, the study aimed to investigate the factors influencing the adoption of Bingobox technology in relation to consumers' behavioral intentions in Malaysia, utilizing the Unified Theory of Acceptance and Use of Technology (UTAUT2) model. The research questions were designed to identify the factors that statistically significantly affect consumer behavioral intentions. The modified UTAUT2 model comprises seven independent variables: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Perceived Risk, Hedonic Motivation, Price Value, and Habit. Data was collected through a questionnaire distributed to 150 targeted respondents via URLs or links to Google Forms, disseminated through platforms such as WhatsApp, Telegram, Facebook, and other networkbased applications. Analysis was conducted using SPSS for coding and SmartPLS 3.0 for performing Partial Least Squares Structural Equation Modeling (PLS-SEM) path coefficient analysis. The findings revealed that all seven independent variables have significant relationships with the dependent variable, providing valuable insights for practitioners and policymakers in leveraging technology for sustainable business practices. This study contributes to a deeper understanding of the factors driving the adoption of innovative retail technologies in Malaysia, offering guidance for businesses and policymakers in effectively implementing and promoting new technological solutions.