Inproceedings,

A diary study on the relationships of distinct work events with job features and affective states by using a work events taxonomy

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Proceedings of the 16th EAWOP Congress 2013 - Imagine the future world: How do we want to work tomorrow?, page 841-842. (May 2013)

Abstract

Purpose Affective events theory (AET) highlights the importance of work events as antecedents of affective states. However, research has so far lacked propositions about the kind of work events that elicit certain positive or negative affective states. Our goal was to provide in‐ sight into the kind of events that occur fre‐ quently in the workplace by systematically classifying positive and negative work events and by investigating more fine‐grained rela‐ tionships between job features, distinct work events, and affect as proposed in AET. Design/Methodology A taxonomy of four positive and seven nega‐ tive work event clusters was developed and applied in a diary study on 348 employees. Results Multilevel regression analyses showed that daily work events functioned as mechanisms in the relationship between daily job features and affective states. For instance, positive events from the cluster goal attainment, task‐ related success mediated the relationship between job autonomy and complexity with positive activated affect. Negative events from the cluster ambiguity, insecurity, loss of con‐ trol mediated the relationship between time pressure, job autonomy and complexity with negative activating affect. Limitations As one limitation, our results cannot ensure causality. Research/Practical Implications Our research provides a basis for the refine‐ ment of AET. It helps to develop some clearer predictions on which kinds of events are judged as important in the work day.   Originality/Value By examining distinct work events as anteced‐ ents of affective states, a better understand‐ ing of affective experiences at work is possi‐ ble. Further, we provide a comprehensive checklist that can be used in future diary stud‐ ies to assess work events.

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