ADMS 2400 Lecture Notes - Lecture 5: Goal Setting, Bayesian Probability, Job Performance
6 Jan 2017
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Document Summary
Motivation - is defined as a set of energetic forces that originates both within and outside an employee, initiates work-related effort, and determines its direction, intensity, and persistence. Motivation is a critical consideration because job performance is largely a function of two factors: motivation and ability. Instrumentality - is a set of subjective probabilities, each ranging from 0 to 1 that successful. Valence - reflects the anticipated value of the outcomes associated with performance (abbreviated v). Total (cid:498)motivational force(cid:499) to perform a given action can be described using the following formula: Motivational force = e p x [(cid:523)p o) x v] Motivational force equals zero if any one of the three beliefs is zero. Goal setting theory - views (self-set) goals as the primary drivers of motivation. Research shows that assigning employees specific & difficult goals leads to higher self-set goals, which, in turn will result in higher levels of performance.
