Sentence examples for task technology from inspiring English sources

The significance of the direct effect of task, technology and fit (in H1) on CRM adoption in supply chain organizations is consistent with the expectation of prior interorganizational literature using TTF theory [14, 30, 47, 73].

Facilitating conditions on attitude, task technology fit on performance expectancy, and performance expectancy on initial trust have the potential to be added to the list of the most important predictors, but they still need additional research.

Incorporating theory on task technology fit, we theorize that users with less knowledge will prefer to be dominated by the system, while users with greater levels of knowledge will prefer a system that provides the user with a level of control over the decision process rather than submitting entirely to the decision aid's control.

At the micro-level, IT adoption is the result of a subtle interaction between the fit of task, technology and user [ 2].

We will show how the FITT framework helped analyzing the process of IT adoption during an IT implementation: we were able to describe every found IT adoption problem with regard to the three fit dimensions, and any intervention on the fit can be described with regard to the three objects of the FITT framework (individual, task, technology).

And Palvia [ 33] analysed the significance of the factors task, technologies, user, and organisation during a system introduction.

The system can be categorized fully through five characteristic features: human, user properties, operational tasks, technology, and information behavior phases [16].

The company's bot can escalate tasks to a human customer support system when needed; perform several rounds of communication with a customer and remember the context of the conversation; it's based on mixed initiatives and mixed tasks technology, which means both the bot and the human can lead a chat; and it adaptively changes its approach based on real-time feedback.

For example, the task-technology fit model [ 14] describes how the three factors tasks, technology and users interact and influence user evaluation of IT systems.

To achieve this goal, we would have to compile a complete list of attributes of tasks, technology and individual influencing the fit.

The second approach was Carayon et al's 32 Safety and Engineering Initiative for Patient Safety (SEIPS) proposed model of human factors interactions (people, tasks, technology and tools, environment and organisation) and related outcomes (eg, the well-being and performance of people and organisations) for healthcare systems.