The role of emotion in decision- making for employee selection

The current study aims to identify the role of emotions on IAU decision makers and how these emotions influence their ability to decide effectively on selecting the academic staff for the university and to achieve organizational goals. It aims at identifying the different variables and competencies needed for effective decision-making. The study will examine those scales' effects on and the decision-making style of managers in IAU. This study also aims at identifying the differences between respondents as attributed to their personal and professional traits "gender, age, academic qualifications, and years of experience". The current study adapted internationally accepted measurement tools such as the Emotion Regulation Questionnaire which was used for measuring emotions and modified to fit the purpose of this research. It was composed of six scales which are; non-acceptance of emotional responses, difficulty engaging in goal-directed behavior, control difficulties, emotional awareness, access to emotion regulation strategies, and emotional clarity. The results of this study supported the hypothesized relationships of the existence of significant relationship between emotions of decision makers and their decision-making style. The relationship has been proved to be existed at all scales and subscales of the emotion field. A significantly negative relationship has been also proved to be existed between emotions and decision-making style. The results also proved that there are no significant differences among respondents attributed to their personal and professional traits as gender, age, academic qualifications, and years of experience. The research has presented some recommendations concerning the application of grey relational analysis at the workplace for selecting employees for job vacancies and some other recommendations for future research. The recommendations include increasing awareness of the emotional context in the workplace and its importance and application in the decision-making process. It also recommends the design and implementation of appropriate training programs for decision makers on how to consider and apply the grey relational analysis in their selection between alternatives. The research also recommends developing tools to measure the level of emotions and inter and intra personal skills and incorporate them into the recruitment of potential decision makers.