Knowledge and Emotions in Socioscientific Decision Making

Socioscientific issues require practical decisions that use knowledge and emotions as inputs for the decision-making process. To examine how these resources influence decision-making, this investigation was conducted from a constructionist epistemological stance, a symbolic interactionism theoretical perspective, and a grounded theory methodology. Twenty-five informants were purposefully selected based on the study’s selection criteria. Data were collected through semi-structured interviews, transcribed, and analyzed using Hennink and Kaiser’s strategies to achieve theoretical saturation. The analysis revealed that: (1) Knowledge of socioscientific issues was associated with emotion-related objects that elicited negative emotional responses from decision-makers; (2) These negative emotions triggered the use of related conceptual and contextual knowledge in generating decision alternatives; (3) Positive emotions motivated decision alternatives toward specific goals; (4) Decision alternatives contained both cognitive and affective components; and (5) Decisions were based on the appraisal of the overall cognitive and affective baggage of these alternatives. The findings underscored the importance of decision-makers enhancing their cognitive and affective resources and incorporating both when making practical decisions to effectively ad-dress socioscientific issues, thereby contributing to positive outcomes for individuals, societies, and the global community.

Authors

Institutions

Publication Details

Journal
EIKI Journal of Effective Teaching Methods
Published
2024-12-22
DOI
https://doi.org/10.59652/jetm.v2i4.367
Primary Topic
Complex Systems and Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Knowledge and Emotions in Socioscientific Decision Making

Jed Henry Lacorte
EIKI Journal of Effective Teaching Methods
Complex Systems and Decision Making
article

Knowledge and Emotions in Socioscientific Decision Making

Jed Henry Lacorte
article en

Abstract

Socioscientific issues require practical decisions that use knowledge and emotions as inputs for the decision-making process. To examine how these resources influence decision-making, this investigation was conducted from a constructionist epistemological stance, a symbolic interactionism theoretical perspective, and a grounded theory methodology. Twenty-five informants were purposefully selected based on the study’s selection criteria. Data were collected through semi-structured interviews, transcribed, and analyzed using Hennink and Kaiser’s strategies to achieve theoretical saturation. The analysis revealed that: (1) Knowledge of socioscientific issues was associated with emotion-related objects that elicited negative emotional responses from decision-makers; (2) These negative emotions triggered the use of related conceptual and contextual knowledge in generating decision alternatives; (3) Positive emotions motivated decision alternatives toward specific goals; (4) Decision alternatives contained both cognitive and affective components; and (5) Decisions were based on the appraisal of the overall cognitive and affective baggage of these alternatives. The findings underscored the importance of decision-makers enhancing their cognitive and affective resources and incorporating both when making practical decisions to effectively ad-dress socioscientific issues, thereby contributing to positive outcomes for individuals, societies, and the global community.

EIKI Journal of Effective Teaching MethodsVol. 2(4)
West Visayas State University (PH)
Peace, Justice and strong institutions
Openalex Percentile: Top 71%
Complex Systems and Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.