"Eco-conscious appetites: Investigating organic food purchase intentions through consumption values, empowered by environmental self-identity and analyzed using MGA – Baltic insights"
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PROVIDER: S-EPMC11336583 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
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Project description:With the advancement of artificial intelligence (AI) and the Internet of Things (IoT), smart clothing, which has enormous growth potential, has developed to suit consumers' individualized demands in various areas. This paper aims to construct a model that integrates that technology acceptance model (TAM) and functionality-expressiveness-aesthetics (FEA) model to explore the key factors influencing consumers' smart clothing purchase intentions (PIs). Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the data, complemented by fuzzy-set qualitative comparative analysis (fsQCA). The PLS-SEM results identified that the characteristics of functionality (FUN), expressiveness (EXP), and aesthetics (AES) positively and significantly affect perceived ease of use (PEOU), and only EXP affects perceived usefulness (PU). PU and PEOU positively impact consumers' attitudes (ATTs). Subsequently, PU and consumers' ATTs positively influence PIs. fsQCA revealed the nonlinear and complex interaction effects of the factors influencing consumers' smart clothing purchase behaviors and uncovered five necessary and six sufficient conditions for consumers' PIs. This paper furthers theoretical understanding by integrating the FEA model into the TAM. Additionally, on a practical level, it provides significant insights into consumers' intentions to purchase smart clothing. These findings serve as valuable tools for corporations and designers in strategizing the design and promotion of smart clothing. The results validate theoretical conceptions about smart clothing PIs and provide useful insights and marketing suggestions for smart clothing implementation and development. Moreover, this study is the first to explain smart clothing PIs using symmetric (PLS-SEM) and asymmetric (fsQCA) methods.
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Project description:This research performs three experiments to investigate the influence mechanisms of identity cues in product reviews on consumers' purchase intention, and to examine the effects of reference groups. The results indicate that: (1) identity cues in positive reviews have a significant positive impact on consumers' purchase intention, while identity cues in negative reviews have a significant negative impact on consumers' purchase intention; in addition, identity cues play a greater role in amplifying the impact of negative reviews on purchase intention; (2) emotional social support has a mediating role in the relationship between reviewers' identity cues and purchase intention, while informational social support and review credibility only play significant mediating roles under all positive reviews scenario; and (3) identity cues of dissociative groups have a negative impact on purchase intention, whereas identity cues of in-groups or aspirational groups have a positive impact on the purchase intention. These findings complement existing research on online reviews and offer insights into the management and strategic oversight of product reviews for e-commerce platforms and merchants.
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Project description:The aim of traffic light labels on food products is to help consumers assess their healthiness. However, it is not clear whether traffic light labels do not have undesired side effects by signaling lower tastiness of healthy product alternatives and reducing purchase intentions. We therefore conducted a study with consumers from Austria (N = 173) in which we presented the amount of sugar contained in products on labels with or without traffic light colors based on the coding criteria of the UK Food Standards Agency. Expectations of products' healthiness and tastiness, as well as purchase intentions were assessed. The products were randomly sampled from the category of desserts from a supermarket. The declared amount of sugar was experimentally varied. The traffic light labels helped participants differentiate between the healthiness of products with different sugar levels. They did not affect the expected tastiness of the healthier alternatives. Moreover, participants did not report lower purchase intentions for products high in sugar, but a higher purchase intention for products low in sugar when traffic light colors were used compared to when they were not used.
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Project description:In 2011, a National Academy of Medicine report recommended that packaged food in the U.S. display a uniform front-of-package nutrition label, using a system such as a 0-3 star ranking. Few studies have directly compared this to other labels to determine which best informs consumers and encourages healthier purchases. In 2013, we randomized adult participants (N=1247) in an Internet-based survey to one of six conditions: no label control; single traffic light; multiple traffic light; Facts Up Front; NuVal; or 0-3 star ranking. We compared groups on purchase intentions and accuracy of participants' interpretation of food labels. There were no differences in the nutritional quality of hypothetical shopping baskets across conditions (p=0.845). All labels improved consumers' abilities to judge the nutritional quality of foods relative to no label, but the best designs varied by outcomes. NuVal and multiple traffic light labels led to the greatest accuracy identifying the healthier of two products (p<0.001), while the multiple traffic light also led to the most accurate estimates of saturated fat, sugar, and sodium (p<0.001). The single traffic light outperformed other labels when participants compared nutrient levels between similar products (p<0.03). Single/multiple traffic light and Facts Up Front labels led to the most accurate calories per serving estimations (p<0.001). Although front-of-package labels helped participants more accurately assess products' nutrition information relative to no label, no conditions shifted adults' purchase intentions. Results did not point to a clearly superior label design, but they suggest that a 3-star label might not be best for educating consumers.
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Project description:This study aims to develop and test the hypothesis of the relationship between green perceived value, green perceived risk, green trust, and green purchase intentions especially the moderator effect of gender on relationship of green trust and green intention to clarify their correlation. This study focuses on the interdependence between the four factors mentioned (green perceived value, green perceived risk, green trust, and green purchase intentions) in order to increase green purchase intentions in modern society, which is an important factor to be concerned about in this environmental era. The technique of research applied in this study is nonprobability sampling with snowball sampling method. Structural Equation Modeling (PLS-SEM) was used to test the cause and effect relationships in the research. A survey conducted by 214 respondents who concerned in buying eco-friendly product were asked to fill the questionnaire to analyze the hypothesis. The analyzed results show that the moderator effect of gender on relationship of green trust and green intention, green perceived value has a positive effect on both green trust and green purchase intentions. Then, green perceived risk positively affects green trust but has no impact on green purchase intentions. In comparison, green trust is an important factor that leads to green purchase intentions.
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