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Research On The Influence And Strategy Of Personality Characteristics And Loss Aversion On Production Order Decision Based On The FNIRS Experiment

Posted on:2022-05-27Degree:MasterType:Thesis
Country:ChinaCandidate:M HuangFull Text:PDF
GTID:2480306557975489Subject:Master of Engineering
Abstract/Summary:PDF Full Text Request
The effective formulation of production ordering decisions can balance the loss pressure caused by product shortages and product backlogs in the face of constantly changing market environments.Loss aversion,as a behavioral factor guided by personality characteristics,occupies a larger decision-making weight in the production ordering decision-making process.Relevant research shows that decision-makers will adjust their decision-making behavior according to their cognition,and different personality characteristics will directly affect the degree of loss aversion and then bias the decision-making.How to optimize production ordering decisions,reduce loss costs,increase profit and meet fluctuations in market demand is the focus of scholars' research.Therefore,this study combines neuro-human factors methods and personality scales to explore the impact of loss aversion and personality traits on production ordering decisions and provides management training suggestions for optimizing production ordering decisions for different personality characteristics.In response to the problem,based on the theory of newsvendor problem and behavioral decision making,combined with the actual production ordering decision quantity of enterprises,this study designed and conducted the production ordering decision experiment of decision-makers in the laboratory.At the beginning of the experiment,MBTI personality scale was used to classify the personality characteristic of decision-makers,and E-Prime was used to design and implement the program based on the newsvendor model and the actual production and order decision quantity of the enterprise.In the experiment,fNIRS functional near-infrared spectroscopy equipment was used to monitor the decision-making process of the subjects in real-time,to explore the influence mechanism of personality characteristics and loss aversion on decision-makers production ordering decisions.The results show that introverted and perceptual decision-makers have significant risk pursuits compared to extroverted and judgment decision-makers;The returns of perception-based decision-making are significantly higher than that of judgment-based;Total return and average order quantity have a significant correlation with perception-judgment dimensions;Risk aversion decision-makers tend to pursue risk in the early stages of decision-making.Based on the above experimental data results,use the parameter hypothesis estimation method to measure the loss aversion coefficient and the reference point coefficient,construct a newsvendor model with the reference point effect and the loss aversion effect,analyze the model and clarify the relationship between reference point and loss aversion and its mechanism.The results show that personality characteristic have a significant correlation with decision-makers' reference points and loss aversion;The loss aversion coefficient and the reference point have a piecewise nonlinear relationship and jointly affect the decision-making order quantity;The reference point has a significant correlation with the thinking-feeling dimension and the extraverted-introverted dimension.According to the experimental results,the priority strategy for personnel selection is proposed for the production and ordering decision-makers of different personality characteristics,and the corresponding management ordering strategies are proposed for data and information processing methods.Improving work performance and job satisfaction while effectively managing the production ordering decision-makers will help the enterprise to efficiently and scientifically managed.
Keywords/Search Tags:fNIRS functional near-infrared spectroscopy technology, loss aversion, reference point, newsboy model, production ordering decision
PDF Full Text Request
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