Influencing factors of online furniture purchase behavior based on analytic hierarchy process

Yu, Changlong; Liu, Wei; Fei, Yinan; Chen, Jiaqi; Hu, Ziyan

doi:10.15376/biores.18.2.2857-2873

Cited by 9 publications

(5 citation statements)

References 17 publications

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“…This investigation offers significant theoretical insights. In their study, Yu et al (2023) [23] examined the primary determinants of consumer furniture purchases using hierarchical analysis. They found that product indicators were the most significant elements, followed by personal and service factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Green Emotion: Incorporating Emotional Perception in Green Marketing to Increase Green Furniture Purchase Intentions

Yu,

Zhong,

Zhu

et al. 2024

Sustainability

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The industrialization process has led to environmental deterioration, which has created challenges for sustainable development. However, there is an increasing inclination to purchase green furniture as a sustainable form of furniture. Hence, investigating the determinants of consumers’ intention to purchase green furniture is beneficial for promoting the adoption of sustainable furniture. Previous research has examined the functional aspects of purchasing behavior using the theory of planned behavior (TPB), while giving less consideration to affective elements. This study aimed to investigate the factors that influence the intention of future users to purchase green furniture, explicitly focusing on emotional perception. This study utilized the PAD three-dimensional emotion model. A novel conceptual model was developed, drawing upon the findings of the literature review. This study employed the questionnaire method to collect data, resulting in 412 valid samples. The collected data were then analyzed and processed using partial least squares structural equation modeling (PLS-SEM) in SmartPLS 3.0 software. Additionally, the mediating influence of the variables was examined using the bootstrap method. The results suggested that the perceived pleasure, arousal, and dominance all had a substantial influence on the beneficial effect of green furniture elements on purchase intention. Among these factors, pleasure (PP) had the strongest mediating effect on the relationship between green brand image (GBI) and purchase intention (PI). Arousal (PA) had the strongest mediating effect on the relationship between eco-innovation (EI) and purchase intention (PI). Dominance (PD) had the strongest mediating effect on the relationship between purchase customization (PC) and purchase intention (PI). Furthermore, this paper examined the disparities between the characteristics of green furniture and conventional furniture in terms of their ability to stimulate emotional responses and influence consumers’ intention to purchase. This study revealed that green features (GF) have a greater capacity to evoke emotional responses in consumers, consequently impacting their intention to purchase green furniture. The study’s findings have both theoretical implications and practical relevance. In theory, these findings enhance the theoretical framework of purchase intention for green furniture. In practice, they provide specific ideas and recommendations for green furniture companies to develop emotional marketing strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Green Emotion: Incorporating Emotional Perception in Green Marketing to Increase Green Furniture Purchase Intentions

Yu,

Zhong,

Zhu

et al. 2024

Sustainability

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“…optimized the three-dimensional corner joints of wooden furniture using parameterization. Yu et al (2023) investigated the factors affecting users' online furniture purchase behavior with a hierarchical method. Reh et al (2023) analyzed the strength of beech seat components.…”

Section: Solid Wood Furniturementioning

confidence: 99%

Affective response difference to the viewing of different styles of solid wood furniture based on Kansei engineering

Lin,

Cai,

Xue

2023

BioRes

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Homogeneity of products is a serious problem in China’s solid wood furniture market, especially reflected in the fact that the furniture form cannot meet the individualized demand of consumers. To explore the differences of consumers’ affective response for different styles of solid wood furniture, this study used Kansei engineering to perform perceptual semantic experiments on Ming-style, Qing-style, and modern Chinese-style furniture. The perceptual images of three styles of solid wood chairs were compared by single factor variance. Additionally, it deconstructed the morphological elements of solid wood seats using morphological analysis and established a mapping model between morphological elements and affective response by quantification theory type-I and multivariable linear regression model. The results show that there are differences in affective response between Ming-style, Qing-style, and modern Chinese style solid wood furniture. Qing-style solid wood furniture tends to be “ornate” and “personalized”. Modern Chinese-style solid wood furniture tends to be “modern” and “streamlined”, Ming-style solid wood furniture is in between the two styles. This study can provide furniture designers with a way to compare the differences in affective responses of different products, and the resulting relationship between affective responses and morphological elements can assist in designing products.

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“…In previous studies, the five personality traits were associated with factors such as consumer behavior (Fraj and Martinez 2006;Sandy et al 2013), purchase preferences (Baik et al 2016), and consumer satisfaction. Yu et al (2023) used hierarchical analysis (AHP) to explore the factors influencing online furniture purchasing behavior, noting that personal factors are important influences on consumers' furniture purchasing decisions. Gudarzi et al (2022) used structural equation modeling to investigate the relationship between consumer preferences for wood furniture (home and office) and factors such as salesperson characteristics, safety and environment, corporate responsibility factors, internal factors, and product characteristics, and results showed that safety and environment characteristics, external factors, and salesperson characteristics were significantly related to consumer preferences, while product characteristics were not significantly.…”

Section: Fig 1 Five Personality Trait Modelmentioning

confidence: 99%

Consumer personality traits vs. their preferences for the characteristics of wood furniture products

Yu,

Zheng,

Chen

et al. 2023

BioRes

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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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Influencing factors of online furniture purchase behavior based on analytic hierarchy process

Cited by 9 publications

References 17 publications

Green Emotion: Incorporating Emotional Perception in Green Marketing to Increase Green Furniture Purchase Intentions

Green Emotion: Incorporating Emotional Perception in Green Marketing to Increase Green Furniture Purchase Intentions

Affective response difference to the viewing of different styles of solid wood furniture based on Kansei engineering

Consumer personality traits vs. their preferences for the characteristics of wood furniture products

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