256,632 research outputs found

    Emotional intelligence, psychological safety, and team decision making

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    Purpose As teamwork becomes more prevalent in organizational decision-making, the influence of emotional intelligence (EI) on team decision-making process demands more research attention. This study aims to investigate the impact of EI on team psychological safety and decision-making performance. Design/methodology/approach Team decision-making performance and decision quality from a team decision task were obtained from 54 decision-making teams composed of 241 undergraduate business students from a Mid-Atlantic university. Regression analyses were used to test individual and team’s EI relationship with team decision performance and the mediation effect of psychological safety. Findings This study provides empirical evidence that individual EI is positively related to individual influence on team decisions. Team-level EI improves team decision-making performance through increases in psychological safety. Research limitations/implications The sample size is relatively small, and the participants were business students; therefore, the research results may lack generalizability. Future research is encouraged to explore this topic further. Practical implications As teamwork becomes more prevalent in organizational decision-making, the influence of EI on team decision-making process demands more research and managerial attention. The findings of this paper provide insights on the importance of individual/team EI and psychological safety in team decision performance. Originality/value This study furthers research showing that emotions are pertinent to social interactions, including group decision-making, and therefore suggests the desirability of investigating other social processes affecting group decision-making

    It Depends on the Timing: The Ripple Effect of AI on Team Decision-Making

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    Whereas artificial intelligence (AI) is increasingly used to facilitate team decision-making, little is known about how the timing of AI assistance may impact team performance. The study investigates this question with an online experiment in which teams completed a new product development task with assistance from a chatbot. Information needed for making the decision was distributed among the team members. The chatbot shared information critical to the decision in either the first half or second half of team interaction. The results suggest that teams assisted by the chatbot in the first half of the decision-making task made better decisions than those assisted by the chatbot in the second half. Analysis of team member perceptions and interaction processes suggests that having a chatbot at the beginning of team interaction may have generated a ripple effect in the team that promoted information sharing among team members

    Chatbot Catalysts: Improving Team Decision-Making Through Cognitive Diversity and Information Elaboration

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    As the integration of artificial intelligence (AI) into team decision-making continues to expand, it is both theoretically and practically pressing for researchers to understand the impact of the technology on team dynamics and performance. To investigate this relationship, we conducted an online experiment in which teams made decisions supported by chatbots and employed computational methods to analyze team interaction processes. Our results indicated that compared to those assisted by chatbots in later phases, teams receiving chatbot assistance during the initial phase of their decision-making process exhibited increased cognitive diversity (i.e., diversity in shared information) and information elaboration (i.e., exchange and integration of information). Ultimately, teams assisted by chatbots early on performed better. These results imply that introducing AI at the beginning of the process can enhance team decision-making by promoting effective information sharing among team members

    Team situation awareness using web-based fuzzy group decision Support systems

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    Situation awareness (SA) is an important element to support responses and decision making to crisis problems. Decision making for a complex situation often needs a team to work cooperatively to get consensus awareness for the situation. Team SA is characterized including information sharing, opinion integration and consensus SA generation. In the meantime, various uncertainties are involved in team SA during information collection and awareness generation. Also, the collaboration between team members may be across distances and need web-based technology to facilitate. This paper presents a web-based fuzzy group decision support system (WFGDSS) and demonstrates how this system can provide a means of support for generating team SA in a distributed team work contextwith the ability of handling uncertain information. © Atlantis Press

    Simulating a team behaviour of affective agents using robocode

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    The study of the impact of emotion and affect in decision making processes involved in a working team stands for a multi-disciplinary issue (e.g. with insights from disciplines such as Psychology, Neuroscience, Philosophy and Computer Science). On the one hand, and in order to create such an environment we look at a team of affective agents to play into a battlefield, which present different emotional profiles (e.g. personality and mood).On the other hand, to attain cooperation, a voting mechanism and a decision-making process was implemented, being Robocode used as the simulation environment. Indeed, the results so far obtained are quite satisfying; the agent team performs quite well in the battlefield and undertakes different behaviours depending on the skirmish conditions.(undefined
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