Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products

Individual personality traits are powerful determinants of behavior, and they can profoundly influence consumer decisions as a comprehensive understanding of consumer personality traits. Their role in decision-making can improve the predictability of consumer-related behavior. In this study, data on...

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Main Authors: Shulan Yu, Qun Zheng, Tianyue Chen, Hongli Zhang, Xinran Chen
Format: Article
Language:English
Published: North Carolina State University 2023-09-01
Series:BioResources
Subjects:
Online Access:https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22780
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author Shulan Yu
Qun Zheng
Tianyue Chen
Hongli Zhang
Xinran Chen
author_facet Shulan Yu
Qun Zheng
Tianyue Chen
Hongli Zhang
Xinran Chen
author_sort Shulan Yu
collection DOAJ
description Individual personality traits are powerful determinants of behavior, and they can profoundly influence consumer decisions as a comprehensive understanding of consumer personality traits. Their role in decision-making can improve the predictability of consumer-related behavior. In this study, data on consumers’ preferences and personality traits were collected through questionnaires using the Wood Furniture Product Characteristics Consumer Preference Scale and the Big Five Personality Inventory Simplified. Bivariate correlation analysis and stepwise multiple regression analysis were used to investigate the relationship between the Big Five personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and wood furniture product characteristics consumer preferences. Correlation analysis indicated that neuroticism was correlated negatively with wood furniture product characteristic consumer preference scores. Extraversion, agreeableness, and conscientiousness were correlated positively with wood furniture product characteristic consumer preference scores. There was no correlation between openness and consumer preference. Regression analysis indicated that neuroticism, extraversion, agreeableness, and conscientiousness predicted wood furniture product trait consumer preferences. Overall, assessing personality traits can help provide insight into the psychological and behavioral characteristics of consumers when purchasing wood furniture products, allowing for a more comprehensive understanding of market demand and more effective marketing and product positioning strategies.
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spelling doaj.art-31c7943e590647eeaa7896827dfc2eeb2023-09-18T20:07:27ZengNorth Carolina State UniversityBioResources1930-21262023-09-0118474437459838Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture ProductsShulan Yu0Qun Zheng1Tianyue Chen2Hongli Zhang3Xinran Chen4College of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, ChinaIndividual personality traits are powerful determinants of behavior, and they can profoundly influence consumer decisions as a comprehensive understanding of consumer personality traits. Their role in decision-making can improve the predictability of consumer-related behavior. In this study, data on consumers’ preferences and personality traits were collected through questionnaires using the Wood Furniture Product Characteristics Consumer Preference Scale and the Big Five Personality Inventory Simplified. Bivariate correlation analysis and stepwise multiple regression analysis were used to investigate the relationship between the Big Five personality traits (neuroticism, extraversion, openness, agreeableness, and conscientiousness) and wood furniture product characteristics consumer preferences. Correlation analysis indicated that neuroticism was correlated negatively with wood furniture product characteristic consumer preference scores. Extraversion, agreeableness, and conscientiousness were correlated positively with wood furniture product characteristic consumer preference scores. There was no correlation between openness and consumer preference. Regression analysis indicated that neuroticism, extraversion, agreeableness, and conscientiousness predicted wood furniture product trait consumer preferences. Overall, assessing personality traits can help provide insight into the psychological and behavioral characteristics of consumers when purchasing wood furniture products, allowing for a more comprehensive understanding of market demand and more effective marketing and product positioning strategies.https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22780wood furniturepersonality traitsconsumer preferencebivariate correlation analysisstepwise multiple regression analysis
spellingShingle Shulan Yu
Qun Zheng
Tianyue Chen
Hongli Zhang
Xinran Chen
Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
BioResources
wood furniture
personality traits
consumer preference
bivariate correlation analysis
stepwise multiple regression analysis
title Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
title_full Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
title_fullStr Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
title_full_unstemmed Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
title_short Consumer Personality Traits vs. their Preferences for the Characteristics of Wood Furniture Products
title_sort consumer personality traits vs their preferences for the characteristics of wood furniture products
topic wood furniture
personality traits
consumer preference
bivariate correlation analysis
stepwise multiple regression analysis
url https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22780
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