THE ROLE OF META-UTAUT, HEALTH CONSCIOUSNESS, BRAND ATTACHMENT, PERCEIVED RISK OF INFORMATION SECURITY AND PRIVACY TOWARDS CONTINUANCE INTENTION FOR WEARABLE DEVICES IN WEST JAVA, INDONESIA

• Main Author: Andriawan Mahury, Rivan
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/80046
• Institution: Institut Teknologi Bandung

One of the technologies that both individuals and businesses use frequently is the Internet of Things, or IoT. Healthcare is a big area for IoT technology, and the market value for IoT-enabled Internet of Healthcare Things (IoT in Health) devices is expected to reach $267 billion by 2023. The industry grew from 4.0 to 5.0, which is still developing, thanks to the Internet of Things. However, the primary objective of this 5.0 is to create production systems that are more productive, adaptive, sustainable, and welfare-improving by fusing human ingenuity and skill with cutting-edge technologies like robotics, IoT, and AI. The smart connected product is one example of how industry 5.0 is developing. Physical, "smart," and connectivity components make up the three primary parts of smart connected products. Smart components improve the capabilities and value of physical components, while connectivity raises the value and capabilities of smart components and permits some of them to exist outside of the physical product itself. The result is a value enhancement positive feedback loop. There are currently issues with the smart connected product in terms of security and privacy of user data or information. Growing health concerns are one of the things that could encourage a user to use a smart, connected product to manage their health. The fact that the user's motivation has never been reported in scholarly journals or literature is another reason why it is seen as a problem. This study compares how wearable devices are used in West Java in open and closed systems, and it aims to identify the factors from the Meta-UTAUT Model of Smart Connected Products (Wearable Devices) that have the biggest impact on the model aimed at Gen Z or Millennial there. The study used a Google form survey to collect data, and 153 people in total answered. As a result, the author sought to determine whether variables would significantly influence other variables in order to validate the research model in this case, which is meta-UTAUT. As for the result shows that some variables has significant effect and other variables considered has no effect on the continuance intention through attitude towards wearable devices in West Java Indonesia.