Table 9 Assessment methods of consumer... | Emerald Publishing

Table 9

Assessment methods of consumer perception towards attributes

Attribute	Data collection	Analytical method	Independent variables	Dependent variables	References
Sustainability cues	Online survey; Lab-based experiment; Choice-based conjoint experiment	ANOVA; Logistic regression; Hierarchical Bayes estimation	Sustainability, compromise, and confidence attributes	Consumer attitudes toward circular economy; Preferences in transportation scenarios; User preferences in electric vehicle features; Most/least desirable attributes in purchase context	Koszewska et al. (2020), Wurster et al. (2020)
Country of origin and local ecosystem	Online survey; Face-to-face interviews	Binary logistic regression; Choice Experiment (CE); Conditional logit; Cluster analysis; Social Network Analysis (SNA)	Frequency of canned tuna consumption; Consumer preferences for meat attributes; Motivations leading to agri-food product choice	Significance of attributes; Consumer choices; Consumer profiles and indirect relationships	Eldesouky et al. (2020), Forleo et al. (2023), Foti et al. (2019)
Quality (functional attributes) and service including warranty and after-sales	Self-administered survey	PLS-SEM	Functional and service-related attributes of sustainable products	Purchase Intentions	Nath and Agrawal (2023)
Price	Online survey; CE	Conditional logit; Cluster analysis	Country of origin, production method, labels, and price (beef attributes); Consumer beliefs, attitudes, and environmental concerns	Consumer preferences; Consumer segmentation	Eldesouky et al. (2020)
Eco-labels, packaging and certifications	Online survey with quota sampling; Structured questionnaire; Face-to-face interviews	Chi-square test; Cronbach's alpha; One-way ANOVA; SEM; PLS; Factor analysis; Principal component analysis	Presence/absence of labels; Consumer attitudes toward environmental certification; Environmental message levels; Knowledge of eco-labels	Consumer attraction to product; Perception of safety and environmental impact; Purchase intention for green and energy-efficient products; Consumer choice of environmentally friendly food products	Dihr et al. (2021), Eldesouky et al. (2020), Kato et al. (2023), Koszewska et al. (2020), Lambarraa-Lehnhardt et al. (2021), Waris et al. (2021)
Design	Online survey; Web-scraping; Multiple surveys and questionnaires	MCDA; K-means clustering; Ordinal regression; KeyBERT; Word2Vec; Kano model	Product aesthetics; Appearance design; Visual appeal; Demographic factors; Design preferences	Purchase intentions; Consumer satisfaction; Willingness to pay; Customer experience ratings; Aesthetic evaluation indicators	D'Adamo et al. (2024), Mitrache et al. (2025), Zhang et al. (2025)

Attribute	Data collection	Analytical method	Independent variables	Dependent variables	References
Sustainability cues	Online survey; Lab-based experiment; Choice-based conjoint experiment	ANOVA; Logistic regression; Hierarchical Bayes estimation	Sustainability, compromise, and confidence attributes	Consumer attitudes toward circular economy; Preferences in transportation scenarios; User preferences in electric vehicle features; Most/least desirable attributes in purchase context	Koszewska et al. (2020), Wurster et al. (2020)
Country of origin and local ecosystem	Online survey; Face-to-face interviews	Binary logistic regression; Choice Experiment (CE); Conditional logit; Cluster analysis; Social Network Analysis (SNA)	Frequency of canned tuna consumption; Consumer preferences for meat attributes; Motivations leading to agri-food product choice	Significance of attributes; Consumer choices; Consumer profiles and indirect relationships	Eldesouky et al. (2020), Forleo et al. (2023), Foti et al. (2019)
Quality (functional attributes) and service including warranty and after-sales	Self-administered survey	PLS-SEM	Functional and service-related attributes of sustainable products	Purchase Intentions	Nath and Agrawal (2023)
Price	Online survey; CE	Conditional logit; Cluster analysis	Country of origin, production method, labels, and price (beef attributes); Consumer beliefs, attitudes, and environmental concerns	Consumer preferences; Consumer segmentation	Eldesouky et al. (2020)
Eco-labels, packaging and certifications	Online survey with quota sampling; Structured questionnaire; Face-to-face interviews	Chi-square test; Cronbach's alpha; One-way ANOVA; SEM; PLS; Factor analysis; Principal component analysis	Presence/absence of labels; Consumer attitudes toward environmental certification; Environmental message levels; Knowledge of eco-labels	Consumer attraction to product; Perception of safety and environmental impact; Purchase intention for green and energy-efficient products; Consumer choice of environmentally friendly food products	Dihr et al. (2021), Eldesouky et al. (2020), Kato et al. (2023), Koszewska et al. (2020), Lambarraa-Lehnhardt et al. (2021), Waris et al. (2021)
Design	Online survey; Web-scraping; Multiple surveys and questionnaires	MCDA; K-means clustering; Ordinal regression; KeyBERT; Word2Vec; Kano model	Product aesthetics; Appearance design; Visual appeal; Demographic factors; Design preferences	Purchase intentions; Consumer satisfaction; Willingness to pay; Customer experience ratings; Aesthetic evaluation indicators	D'Adamo et al. (2024), Mitrache et al. (2025), Zhang et al. (2025)

Source(s): Authors' own elaboration