In the demand driven model of user adoption, what factor increases the likelihood of adopting a new system?

Choosing the belief that the new system will improve performance as a factor that increases the likelihood of adopting a new system aligns with the principles of the demand-driven model of user adoption. When users perceive that a new system will enhance their current performance, it creates a positive motivation for them to engage with and utilize the system. This belief fosters a sense of personal and professional benefit, as users anticipate improvements in efficiency, effectiveness, or productivity.

In the context of user adoption, when individuals are convinced that a new technology will lead to better outcomes—whether it's through streamlined processes, improved accuracy, or faster results—they are more inclined to embrace the change. This intrinsic motivation is key in the demand-driven model, as it emphasizes the user's perspective and their expectations from the technology being introduced.

Factors like receiving incentives, having prior experience with similar systems, or management mandates may influence adoption but do not directly address the users' perceptions of the system's performance improvements. Incentives may create a temporary push but do not guarantee that users will see value or sustain engagement with the system. Similarly, prior experience can help reduce the learning curve but does not necessarily relate to the perceived benefits of the new system itself. Management mandates can enforce usage but may also lead to resistance if users do