This study explores the influence of emotional states on decision-making under risk,particularly examining how can emotions like happiness and sadness affect human risk-seeking behaviors.The experiment involved 53 Chi...This study explores the influence of emotional states on decision-making under risk,particularly examining how can emotions like happiness and sadness affect human risk-seeking behaviors.The experiment involved 53 Chinese participants divided into two groups,each subjected to an emotion manipulation through a short film clip to induce happiness or sadness.After verifying emotional states,participants engaged in a gamble game designed to measure risk-seeking versus risk-averse choices across various scenarios involving gains and losses.The results revealed that participants in the sad condition exhibited a higher propensity for risk-seeking behavior(60%)compared to those in the happy condition(44.44%).Moreover,a significant difference was observed between gain and loss sections within the sad group,with risk-seeking behavior being more pronounced in the loss section.The t-test results(t=2.66,p=0.0104)indicated a statistically significant difference in risk-seeking behavior between the two emotional states.These findings suggest that emotion significantly impacts decision-making processes under risky situations,with sadness promoting greater risk-seeking tendencies.The study contributes to understanding the emotional drivers behind decision-making and highlights the importance of accounting for emotional states in models of risk-based decision-making.展开更多
In this paper,a holistic hierarchical analytical model is proposed to assess the performance of enablers in an integrated logistics system.Due to the ambiguous and complex environment,various refinements are needed to...In this paper,a holistic hierarchical analytical model is proposed to assess the performance of enablers in an integrated logistics system.Due to the ambiguous and complex environment,various refinements are needed to assess enablers and prioritize for the criteria such as economic,operational,and environment.The proposed hierarchical model is developed by a systematic approach that includes fuzzy analytical hierarchy process(FAHP),triangular fuzzy numbers(TFN),an evidential reasoning algorithm(ERA),and expected utility theory(EUT).The FAHP is used to analyze and obtain the weights of the criteria by considering the expert’s opinions.ERA is used to synthesize the enablers based on the selected criteria.These enablers are represented using subjective assessment along with a set of evaluation grades for a qualitative attribute.EUT helps in obtaining crisp values of enablers for their performance estimation.With these set of methodologies,a hierarchical model is proposed that prevent low flexibility and inadequate appropriateness of the proposed model.Further,the model helps in scenario generation for the logistics professionals who are facing various problems in integrating logistics and incorporating sustainability due to lack of appropriate methodologies and evaluation techniques.Finally,sensitivity analysis is used for overall model validation.展开更多
文摘This study explores the influence of emotional states on decision-making under risk,particularly examining how can emotions like happiness and sadness affect human risk-seeking behaviors.The experiment involved 53 Chinese participants divided into two groups,each subjected to an emotion manipulation through a short film clip to induce happiness or sadness.After verifying emotional states,participants engaged in a gamble game designed to measure risk-seeking versus risk-averse choices across various scenarios involving gains and losses.The results revealed that participants in the sad condition exhibited a higher propensity for risk-seeking behavior(60%)compared to those in the happy condition(44.44%).Moreover,a significant difference was observed between gain and loss sections within the sad group,with risk-seeking behavior being more pronounced in the loss section.The t-test results(t=2.66,p=0.0104)indicated a statistically significant difference in risk-seeking behavior between the two emotional states.These findings suggest that emotion significantly impacts decision-making processes under risky situations,with sadness promoting greater risk-seeking tendencies.The study contributes to understanding the emotional drivers behind decision-making and highlights the importance of accounting for emotional states in models of risk-based decision-making.
文摘In this paper,a holistic hierarchical analytical model is proposed to assess the performance of enablers in an integrated logistics system.Due to the ambiguous and complex environment,various refinements are needed to assess enablers and prioritize for the criteria such as economic,operational,and environment.The proposed hierarchical model is developed by a systematic approach that includes fuzzy analytical hierarchy process(FAHP),triangular fuzzy numbers(TFN),an evidential reasoning algorithm(ERA),and expected utility theory(EUT).The FAHP is used to analyze and obtain the weights of the criteria by considering the expert’s opinions.ERA is used to synthesize the enablers based on the selected criteria.These enablers are represented using subjective assessment along with a set of evaluation grades for a qualitative attribute.EUT helps in obtaining crisp values of enablers for their performance estimation.With these set of methodologies,a hierarchical model is proposed that prevent low flexibility and inadequate appropriateness of the proposed model.Further,the model helps in scenario generation for the logistics professionals who are facing various problems in integrating logistics and incorporating sustainability due to lack of appropriate methodologies and evaluation techniques.Finally,sensitivity analysis is used for overall model validation.
