Emotional intelligence, cognitive ability and information search in tactical decision-making

Fallon, Corey K.; Panganiban, April Rose; Wohleber, Ryan W.; Matthews, Gerald; Kustubayeva, Almira; Roberts, Richard D.

doi:10.1016/j.paid.2014.01.029

Cited by 41 publications

(28 citation statements)

References 13 publications

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“…Webb et al ( 2014 ) also found a positive correlation between the IGT and MSCEIT total scores and the “facilitating” and “understanding” branches, although they found that EI did not significantly predict the variance of the decision-making task beyond the IQ (cognitive intelligence) scores. In two other studies (which used the simulated arctic rescue scenario and the SJT), Fallon et al ( 2013 , 2014 ) did not find any differences between high- and low-EI participants in their cognitive performance, although Fallon et al ( 2014 ) discovered a tendency for EI to correlate with accuracy. Alkozei et al ( 2015 ), using the airport decision-making task mentioned previously, found that higher EI (measured by the MSCEIT) achieved better performance than lower EI in the cognitive task, especially those with higher scores in the “understanding” and “facilitating” branches.…”

Section: Resultsmentioning

confidence: 95%

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The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

Gutiérrez‐Cobo

Cabello

Fernández‐Berrocal

2016

Front. Behav. Neurosci.

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Although emotion and cognition were considered to be separate aspects of the psyche in the past, researchers today have demonstrated the existence of an interplay between the two processes. Emotional intelligence (EI), or the ability to perceive, use, understand, and regulate emotions, is a relatively young concept that attempts to connect both emotion and cognition. While EI has been demonstrated to be positively related to well-being, mental and physical health, and non-aggressive behaviors, little is known about its underlying cognitive processes. The aim of the present study was to systematically review available evidence about the relationship between EI and cognitive processes as measured through “cool” (i.e., not emotionally laden) and “hot” (i.e., emotionally laden) laboratory tasks. We searched Scopus and Medline to find relevant articles in Spanish and English, and divided the studies following two variables: cognitive processes (hot vs. cool) and EI instruments used (performance-based ability test, self-report ability test, and self-report mixed test). We identified 26 eligible studies. The results provide a fair amount of evidence that performance-based ability EI (but not self-report EI tests) is positively related with efficiency in hot cognitive tasks. EI, however, does not appear to be related with cool cognitive tasks: neither through self-reporting nor through performance-based ability instruments. These findings suggest that performance-based ability EI could improve individuals’ emotional information processing abilities.

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Section: Resultsmentioning

confidence: 95%

“…In the same way, using the SREIS, Webb et al ( 2014 ) did not find any correlation. Fallon et al ( 2014 ) also did not find any relationship between the TMMS and the decision-making task called the “simulated arctic rescue scenario,” where participants had to choose the optimal route in a virtual environment.…”

Section: Resultsmentioning

confidence: 99%

The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

Gutiérrez‐Cobo

Cabello

Fernández‐Berrocal

2016

Front. Behav. Neurosci.

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“…The result is suppoorted with findigns by Al-Azzam (2015) and Fallon, Panganiban, Wohleber, Matthews, Kustubayeva, & Roberts (2014) who have emphasized the role of emotional intelligence in decision making. Westaby, Probst, & Lee, (2010) in his studies have also revealed that emotions have strong effect on decision-making.…”

Section: Measurement Modelmentioning

confidence: 72%

Does Emotional Intelligence Effect Leaders Strategic Decision Making?

Daud¹

2018

The European Proceedings of Social and Behavioural Sciences

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Emotional intelligence is important for a leader nowadays as it could improves leader in strategic decision making, problem solving and cooperate with others. The objective of this study is to examine the effects of emotional intelligence on strategic decision making among leaders in Government Link Companies (GLCs). Data were collected using questionnaire. Stratified random sampling were used to select the sample for this study. Collected data were analysed using Partial Least Square Structural Equation Model (PLS-SEM) approach. The result revealed that there is a significant effects between the emotional intelligence and strategic decision making. The implications of this study could be used as a guide for leaders in managing and controlling their emotions when making a strategic decision for their organization.Theoretically, this theory use which is leader member exchange theory, is significant since the outcomes will contribute to the body of knowledge in the field of leadership, and GLCs in Malaysia.

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“…The emotional understanding of the various users can be analyzed through Facebook sharing of small stories and narrative statements [ 12 ]. The EI helps the information search in tactical decision making [ 13 ]. IRT is used in the development of performance based digital test and the validation of a direct measure of ICT competence [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Topical Sentiment Analysis for the Classification of E‐Learners and Their Topics of Interest

Ravichandran

Kulanthaivel

Chellatamilan

2015

The Scientific World Journal

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Every day, huge numbers of instant tweets (messages) are published on Twitter as it is one of the massive social media for e-learners interactions. The options regarding various interesting topics to be studied are discussed among the learners and teachers through the capture of ideal sources in Twitter. The common sentiment behavior towards these topics is received through the massive number of instant messages about them. In this paper, rather than using the opinion polarity of each message relevant to the topic, authors focus on sentence level opinion classification upon using the unsupervised algorithm named bigram item response theory (BIRT). It differs from the traditional classification and document level classification algorithm. The investigation illustrated in this paper is of threefold which are listed as follows: (1) lexicon based sentiment polarity of tweet messages; (2) the bigram cooccurrence relationship using naïve Bayesian; (3) the bigram item response theory (BIRT) on various topics. It has been proposed that a model using item response theory is constructed for topical classification inference. The performance has been improved remarkably using this bigram item response theory when compared with other supervised algorithms. The experiment has been conducted on a real life dataset containing different set of tweets and topics.

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Emotional intelligence, cognitive ability and information search in tactical decision-making

Cited by 41 publications

References 13 publications

The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

The Relationship between Emotional Intelligence and Cool and Hot Cognitive Processes: A Systematic Review

Does Emotional Intelligence Effect Leaders Strategic Decision Making?

Intelligent Topical Sentiment Analysis for the Classification of E‐Learners and Their Topics of Interest

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