Understanding the determinants of users' continuous intention in smartwatches: An empirical study on Malaysian users

• Main Authors: Yu, Lydia Yun Fei, Ting, Ching Err
• Format: Final Year Project / Dissertation / Thesis
• Published: 2023
• Subjects: HB Economic Theory; T Technology (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utar.edu.my/5448/1/fyp_MK_2023_LYYF.pdf; http://eprints.utar.edu.my/5448/
• Institution: Universiti Tunku Abdul Rahman

The consumer electronics industry has widely acknowledged smartwatches as the "next big thing," with a growing number of users incorporating these devices into their daily routines. As the market for smartwatches expands, comprehending the factors that shape users' adoption and utilization of these devices becomes crucial. This research intends to explore the components that drive Malaysian users' continuance intention towards using smartwatches, utilizing the Cognitive-Affective-Conative (CAC) framework as a theoretical model. Although many people are using smartwatches these days, limited research has been conducted to identify the drivers of the continuance intention to use these devices among Malaysian users. The targeted respondents in this research are Malaysian smartwatch users, and the self-administered questionnaires were distributed through online. A total of 417 sets of self-administered questionnaires were collected but only 385 sets of responses were used for our research because there are 32 respondents does not use smartwatch before or currently. The data collected will undergo analysis using the Partial Least Squares Structural Equation Modelling (PLS-SEM) technique. The outcomes of this research are anticipated to offer smartwatch manufacturers or companies insights into the elements that impact users' intention to continue using smartwatches.