기존의 정서연구들에서는 감정표현불능증이 우울의 중요한 예측변인이라는 점을 반복적으로 제시하고 있다. 이에 본 연구에서는 이러한 두 변인의 관계가 성격요인에 의해 조절될 수 있는지를 성격 5요인을 중심으로 살펴보았다. 312명의 대학생을 대상으로 감정표현불능증, 우울, 성격 5요인을 포함한 온라인 설문을 실시하고 조절효과를 확인해 보았다. 분석 결과, 감정표현불능증은 우울을 예측하여 기존 연구 흐름과 맥을 같이 하였다. 또한, 조절효과를 검증한 결과, 우호성, 정서적 안정성, 개방성은 감정표현불능증과 우울 간의 관계를 조절한 반면, 외향성과 성실성은 조절하 지 않았다. 본 연구의 결과는 자신의 감정을 제대로 인지하지 못하고 표현하지 못하는 것이 우울을 높일 수 있는데, 이를 완화하는 데는 우호적이고 정서적으로 안정적이며 개방적인 성격이 도움이 된다는 점을 제시하였다. 본 연구는 감정표현불능증에 의해 우울이 증가하는 과정에서 어떤 구체적인 성격특질이 조절변인으로 기능하는지를 변별적으 로 제시하였다는 중요한 함의를 갖고 있다.

Recent studies have shown that during the playing of violent online games, it is not increased aggression but rather alleviation in aggression that is critical in determining whether playing gaming has positive outcomes on the venting of aggression. Drawing from the aggression catharsis perspective and gaming research, we extend this line of investigation by exploring whether gaming results in a decrease in aggression, across a wide variety of games. Using data from a survey of 771 online game users in Korea, we examined the associations among Therapeutic Catharsis Seeking, Game Self-Efficacy, Big Five Personality Traits, Game genre (violent or nonviolent), Daily online gaming time, and Demographic variables. Results showed that therapeutic catharsis seeking and game self-efficacy decreased user aggression. Neuroticism negatively affected aggression while agreeableness enhanced the degree of aggression regardless of game genre. These findings have important implications for the use of gaming as a mood management tool.

This empirical research is aimed at testing the relationship of the big five personality traits namely openness to experience, extraversion, consciousness, agreeableness, neuroticism, and risk aversion with the investment intention of individual investors belonging to Balochistan, Pakistan. The primary data is collected through a self-administered questionnaire (a structured form that consists of a series of closed-ended and open-ended questions) from a sample of 397 active individual investors belonging to different districts of the province. The data is empirically analyzed by applying the Partial Least Square (PLS) path modeling technique by using the estimation package available in Smart-PLS. The findings of this study suggest that all the variables are statistically significant with investors’ investment intention with risk aversion as the strongest predictor. Moreover, openness to experience, extraversion, consciousness, agreeableness, and risk are significantly and positively related to an investor’s investment intention, whereas neuroticism is negatively related to an investor’s investment intention. The results extended by this study can be used by financial planners and investment bankers to channelize the available financial resources in diversified portfolios. The results will help financial planners to make available diverse investment alternatives for investors in Balochistan, thus catering to their unique needs. Academia must offer courses on contemporary finance paradigm based on behavioral finance to enable future business graduates to make wise financial decisions.