Hedonic-motivation system adoption model

The Hedonic-motivation system adoption model (HMSAM) is a theoretical framework that aims to explain how individuals adopt and use technology for hedonic purposes. The model integrates concepts from several psychological theories, such as the theory of planned behavior, self-determination theory, and flow theory, to explain how individuals’ motivations and emotions influence their adoption and use of technology.

The HMSAM proposes that there are three key components that influence the adoption and use of hedonic technologies: motivation, ability, and opportunity. Motivation refers to individuals’ desire to use technology for hedonic purposes, such as pleasure, entertainment, or social interaction. Ability refers to individuals’ knowledge, skills, and resources that enable them to use technology effectively. Opportunity refers to the external factors that facilitate or inhibit the use of technology, such as social norms, social support, and technological infrastructure.

According to the HMSAM, motivation is the primary factor that drives individuals’ adoption and use of hedonic technologies. Individuals’ motivation to use technology for hedonic purposes is influenced by their emotions, values, and needs. For example, individuals may be motivated to use social media to connect with friends and family, to play video games to experience excitement and challenge, or to watch movies to relax and unwind.

The model also suggests that individuals’ ability to use technology effectively is a crucial factor in their adoption and use of hedonic technologies. Individuals’ ability to use technology is influenced by their knowledge, skills, and resources, as well as the design and usability of the technology itself. For example, individuals may be more likely to adopt and use a new social media platform if it is user-friendly and easy to navigate.

Finally, the HMSAM proposes that individuals’ opportunities to use technology are influenced by external factors such as social norms, social support, and technological infrastructure. For example, individuals may be more likely to adopt and use a new social media platform if their friends and family members are also using it, or if the platform is widely available and accessible.