Presentation Title

Emotional Intelligence in the Life Sciences Industry: A Focus on Prosocial and Antisocial Workplace Behaviors

Start Date

November 2016

End Date

November 2016

Location

HUB 302-134

Type of Presentation

Poster

Abstract

Many factors of the life sciences industry, particularly the stressful environment intrinsic to the laboratory, prominently highlight trends thought to be critical in effectively understanding and managing the workplace. Emotional intelligence, the ability to perceive and manage emotions and social relationships, can play a significant role in navigating and overseeing the workplace, as well as managing prosocial and antisocial behaviors to enhance outputs. This idea was tested using data from interviews with life sciences industry managers and by surveying 29 postdoctoral scholars in life sciences academia. Our findings showed that emotional intelligence was positively related to prosocial behaviors and negatively related to antisocial behaviors. Limitations, such as sample size, and implications for workplace environments and higher processes are also discussed.

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Nov 12th, 1:00 PM Nov 12th, 2:00 PM

Emotional Intelligence in the Life Sciences Industry: A Focus on Prosocial and Antisocial Workplace Behaviors

HUB 302-134

Many factors of the life sciences industry, particularly the stressful environment intrinsic to the laboratory, prominently highlight trends thought to be critical in effectively understanding and managing the workplace. Emotional intelligence, the ability to perceive and manage emotions and social relationships, can play a significant role in navigating and overseeing the workplace, as well as managing prosocial and antisocial behaviors to enhance outputs. This idea was tested using data from interviews with life sciences industry managers and by surveying 29 postdoctoral scholars in life sciences academia. Our findings showed that emotional intelligence was positively related to prosocial behaviors and negatively related to antisocial behaviors. Limitations, such as sample size, and implications for workplace environments and higher processes are also discussed.