Abstract:There is scarce research on the relationship between the level of consumer involvement and consumption-elicited emotions. So, we address the following questions: What is the influence of consumer involvement on consumption-elicited emotions?; Are positive emotions prevailing in highly involved consumers?; and Are negative emotions more dominant in low-involved consumers?. For this purpose, three different levels of consumer involvement have been considered-low (n = 228), medium (n = 493), and high (n = 601). A… Show more
“…In this context, creating specific lexicons adapted for different populations is at the base of the development of explicit methods to measure the emotions elicited by food. Concerning wine, for example, after the crucial work of Ferrarini et al [101], four further studies have proposed the wine emotion lexicon [102][103][104][105], based on different methodological approaches and, remarkably, including the tasting of real wine samples. Figure 2 presents a compilation of the 72 unique terms (not repeated) used to describe emotions evoked by wine from these studies as reviewed by Pedroza et al [9].…”
Section: Emotion Lexiconmentioning
confidence: 99%
“…As with any other measurement in consumer research and sensory analysis, the measuring of emotion is affected by individual differences, which contribute to a large extent to the variance. According to Calvo-Porral and colleagues [102], in the specific and emblematic case of wine consumption, "the average consumer does not exist" and consumer groups could be hypothetically distinguished according to emotional descriptors aroused by tasting wines. Different product involvement analysis is then characterized by the classification of participants according to the frequency of wine consumption, and the knowledge and the appreciation of wine [102,103,106,108,111].…”
Section: Taster Profilementioning
confidence: 99%
“…According to Calvo-Porral and colleagues [102], in the specific and emblematic case of wine consumption, "the average consumer does not exist" and consumer groups could be hypothetically distinguished according to emotional descriptors aroused by tasting wines. Different product involvement analysis is then characterized by the classification of participants according to the frequency of wine consumption, and the knowledge and the appreciation of wine [102,103,106,108,111]. Some people discriminate between different emotional states in a more detailed way than others (granularity), and this appears to go beyond having a richer emotional vocabulary.…”
At present, food quality is of utmost importance, not only to comply with commercial regulations, but also to meet the expectations of consumers; this aspect includes sensory features capable of triggering emotions through the citizen’s perception. To date, key parameters for food quality assessment have been sought through analytical methods alone or in combination with a panel test, but the evaluation of panelists’ reactions via psychophysiological markers is now becoming increasingly popular. As such, the present review investigates recent applications of traditional and novel methods to the specific field. These include electronic senses (e-nose, e-tongue, and e-eye), sensory analysis, and wearables for emotion recognition. Given the advantages and limitations highlighted throughout the review for each approach (both traditional and innovative ones), it was possible to conclude that a synergy between traditional and innovative approaches could be the best way to optimally manage the trade-off between the accuracy of the information and feasibility of the investigation. This evidence could help in better planning future investigations in the field of food sciences, providing more reliable, objective, and unbiased results, but it also has important implications in the field of neuromarketing related to edible compounds.
“…In this context, creating specific lexicons adapted for different populations is at the base of the development of explicit methods to measure the emotions elicited by food. Concerning wine, for example, after the crucial work of Ferrarini et al [101], four further studies have proposed the wine emotion lexicon [102][103][104][105], based on different methodological approaches and, remarkably, including the tasting of real wine samples. Figure 2 presents a compilation of the 72 unique terms (not repeated) used to describe emotions evoked by wine from these studies as reviewed by Pedroza et al [9].…”
Section: Emotion Lexiconmentioning
confidence: 99%
“…As with any other measurement in consumer research and sensory analysis, the measuring of emotion is affected by individual differences, which contribute to a large extent to the variance. According to Calvo-Porral and colleagues [102], in the specific and emblematic case of wine consumption, "the average consumer does not exist" and consumer groups could be hypothetically distinguished according to emotional descriptors aroused by tasting wines. Different product involvement analysis is then characterized by the classification of participants according to the frequency of wine consumption, and the knowledge and the appreciation of wine [102,103,106,108,111].…”
Section: Taster Profilementioning
confidence: 99%
“…According to Calvo-Porral and colleagues [102], in the specific and emblematic case of wine consumption, "the average consumer does not exist" and consumer groups could be hypothetically distinguished according to emotional descriptors aroused by tasting wines. Different product involvement analysis is then characterized by the classification of participants according to the frequency of wine consumption, and the knowledge and the appreciation of wine [102,103,106,108,111]. Some people discriminate between different emotional states in a more detailed way than others (granularity), and this appears to go beyond having a richer emotional vocabulary.…”
At present, food quality is of utmost importance, not only to comply with commercial regulations, but also to meet the expectations of consumers; this aspect includes sensory features capable of triggering emotions through the citizen’s perception. To date, key parameters for food quality assessment have been sought through analytical methods alone or in combination with a panel test, but the evaluation of panelists’ reactions via psychophysiological markers is now becoming increasingly popular. As such, the present review investigates recent applications of traditional and novel methods to the specific field. These include electronic senses (e-nose, e-tongue, and e-eye), sensory analysis, and wearables for emotion recognition. Given the advantages and limitations highlighted throughout the review for each approach (both traditional and innovative ones), it was possible to conclude that a synergy between traditional and innovative approaches could be the best way to optimally manage the trade-off between the accuracy of the information and feasibility of the investigation. This evidence could help in better planning future investigations in the field of food sciences, providing more reliable, objective, and unbiased results, but it also has important implications in the field of neuromarketing related to edible compounds.
“…Involvement is also commonly considered to be a motivating factor or a causal variable [14,79]. More specifically, the level of consumer involvement may impact consumption-related emotions [80]. Early literature proposed that both involvement and emotion influence the behavior of tourists [15].…”
Section: Theoretical Background and Hypotheses Developmentmentioning
This research employed a behavioral model to confirm and elucidate the critical influence of place attachment, destination involvement, and ambivalent emotion on responsible tourism behaviors. A total of 415 questionnaires were collected from tourists visiting Penghu Island in Taiwan. Following data analysis using structural equation modeling, the results suggested that place attachment, destination involvement, and ambivalent emotion critically impact responsible tourism behaviors, and that place attachment is negatively related to ambivalent emotion. In addition, ambivalent emotion was found to mediate the relationship between place attachment and responsible tourism behaviors. Finally, implications for the promotion of sustainable tourism development were thoughtfully provided based on these findings.
“…At this point, wine culture has spread from the wine consumption patterns of a specific group of 40-50-year-olds to housewives and 20-30-year-olds, which has caused a high-end and diversification of wine consumption and a significant change in drinking opportunities and venues [4]. Not only has this increased the number of wine bars and wine stores, but competition between businesses has become more intense and the image of the bar has a significant impact on customer revisit [5]. The image of a wine bar is an element that facilitates service communication.…”
With the growth of internet technology, customers are sharing up their experiences. Hence, these types of customer experiences are spreading rapidly as a source of online reviews. For this reason, online reviews have become a critical source of information that influences customers’ purchase intentions and behavior. Thus, businesses should monitor online reviews to understand the customer experience and increase customer satisfaction and loyalty. This study attempts to identify essential characteristics for positive online reviews of wine bars and examine the structural relationships of these attributes. To accomplish this purpose, a total of 1,337 online reviews were collected from Google Travel and analyzed. The frequency analysis was performed using text mining to determine the most frequently referred to attributes, and the semantic network analysis, factor analysis, and regression analysis were conducted to understand customer experience and satisfaction of wine bars located in Busan, South Korea. The results show that the top 50 keywords identified from the online reviews were categorized as four groups—‘Atmosphere’, ‘Service’, ‘Date and Location’, and ‘Menu’. The results of the factor analysis reduced the original dimension of 48 keywords to 16 keywords and classified them into six factors, namely, ‘Service’, ‘Staff’, ‘Menu’, ‘Environment’, ‘Recommendation’ and ‘Atmosphere’. Based on these results, implications for sustainable wine bar marketing strategies were suggested.
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