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Some may confuse RFT with regulatory fit, regulatory relevance, message matching, and source attractiveness in such an example. The extent of similarities between closely related theories of RFT, such as ones stated above, make it hard to clarify when this theory is applicable or apparent in respect to the persuasion process. [1]: 444–5
In 2000, Higgins developed regulatory fit theory, proposing that people experience fit when using means of goal pursuit that align with their regulatory orientation: vigilant or eager. [8] Also in 2000, Higgins and Arie Kruglanski developed regulatory mode theory , which describes two complementary self-regulatory functions: assessment and ...
A person's regulatory mode is correlated with regulatory fitness.They display their optimal level of performance in addition to valuing the end goals. In Avnet and Higgin's study (2004), the participants paid more for the book-light when their decisions were based on their regulatory orientation—either locomotion or assessment. [3]
A technical standard is an established norm or requirement for a repeatable technical task which is applied to a common and repeated use of rules, conditions, guidelines or characteristics for products or related processes and production methods, and related management systems practices.
Fit The fit of a commodity is defined by its ability to physically interface or connect with or become an integral part of another commodity. For software, the fit is defined by its ability to interface or connect with a defense article. Function The function of a commodity is the action or actions it is designed to perform. For software, the ...
Fit is defined as an employee's "perceived compatibility or comfort level" with the organization and surrounding environment. [1] Important components of fit between an employee and the organization include an individual's career goals, personal values, as well as more immediate job-specific factors such as job knowledge, demands, skills, and abilities.
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The Failures In Time (FIT) rate of a device is the number of failures that can be expected in one billion (10 9) device-hours of operation [17] (e.g. 1,000 devices for 1,000,000 hours, or 1,000,000 devices for 1,000 hours each, or some other combination).