Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition

Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed t...
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Gespeichert in:

Autor*in:	Samant, Shilpa S. [verfasserIn] Seo, Han-Seok [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice

Übergeordnetes Werk:	Enthalten in: Food research international - New York, NY [u.a.] : Elsevier, 1992, 132
Übergeordnetes Werk:	volume:132

DOI / URN:	10.1016/j.foodres.2020.109095

Katalog-ID:	ELV003986136

Internformat


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520			\|a Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions.
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650		4	\|a Emotional response
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650		4	\|a Non-sensory factor
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700	1		\|a Seo, Han-Seok \|e verfasserin \|0 (orcid)0000-0001-9845-8199 \|4 aut
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936	b	k	\|a 58.34 \|j Lebensmitteltechnologie
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allfields	10.1016/j.foodres.2020.109095 doi (DE-627)ELV003986136 (ELSEVIER)S0963-9969(20)30120-4 DE-627 ger DE-627 rda eng 630 640 540 660 DE-600 58.34 bkl Samant, Shilpa S. verfasserin aut Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions. Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice Seo, Han-Seok verfasserin (orcid)0000-0001-9845-8199 aut Enthalten in Food research international New York, NY [u.a.] : Elsevier, 1992 132 Online-Ressource (DE-627)300898541 (DE-600)1483651-8 (DE-576)25526660X 1873-7145 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.34 Lebensmitteltechnologie AR 132
spelling	10.1016/j.foodres.2020.109095 doi (DE-627)ELV003986136 (ELSEVIER)S0963-9969(20)30120-4 DE-627 ger DE-627 rda eng 630 640 540 660 DE-600 58.34 bkl Samant, Shilpa S. verfasserin aut Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions. Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice Seo, Han-Seok verfasserin (orcid)0000-0001-9845-8199 aut Enthalten in Food research international New York, NY [u.a.] : Elsevier, 1992 132 Online-Ressource (DE-627)300898541 (DE-600)1483651-8 (DE-576)25526660X 1873-7145 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.34 Lebensmitteltechnologie AR 132
allfields_unstemmed	10.1016/j.foodres.2020.109095 doi (DE-627)ELV003986136 (ELSEVIER)S0963-9969(20)30120-4 DE-627 ger DE-627 rda eng 630 640 540 660 DE-600 58.34 bkl Samant, Shilpa S. verfasserin aut Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions. Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice Seo, Han-Seok verfasserin (orcid)0000-0001-9845-8199 aut Enthalten in Food research international New York, NY [u.a.] : Elsevier, 1992 132 Online-Ressource (DE-627)300898541 (DE-600)1483651-8 (DE-576)25526660X 1873-7145 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.34 Lebensmitteltechnologie AR 132
allfieldsGer	10.1016/j.foodres.2020.109095 doi (DE-627)ELV003986136 (ELSEVIER)S0963-9969(20)30120-4 DE-627 ger DE-627 rda eng 630 640 540 660 DE-600 58.34 bkl Samant, Shilpa S. verfasserin aut Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions. Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice Seo, Han-Seok verfasserin (orcid)0000-0001-9845-8199 aut Enthalten in Food research international New York, NY [u.a.] : Elsevier, 1992 132 Online-Ressource (DE-627)300898541 (DE-600)1483651-8 (DE-576)25526660X 1873-7145 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.34 Lebensmitteltechnologie AR 132
allfieldsSound	10.1016/j.foodres.2020.109095 doi (DE-627)ELV003986136 (ELSEVIER)S0963-9969(20)30120-4 DE-627 ger DE-627 rda eng 630 640 540 660 DE-600 58.34 bkl Samant, Shilpa S. verfasserin aut Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions. Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice Seo, Han-Seok verfasserin (orcid)0000-0001-9845-8199 aut Enthalten in Food research international New York, NY [u.a.] : Elsevier, 1992 132 Online-Ressource (DE-627)300898541 (DE-600)1483651-8 (DE-576)25526660X 1873-7145 nnns volume:132 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 58.34 Lebensmitteltechnologie AR 132
language	English
source	Enthalten in Food research international 132 volume:132
sourceStr	Enthalten in Food research international 132 volume:132
format_phy_str_mv	Article
bklname	Lebensmitteltechnologie
institution	findex.gbv.de
topic_facet	Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice
dewey-raw	630
isfreeaccess_bool	false
container_title	Food research international
authorswithroles_txt_mv	Samant, Shilpa S. @@aut@@ Seo, Han-Seok @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	300898541
dewey-sort	3630
id	ELV003986136
language_de	englisch
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SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. 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author	Samant, Shilpa S.
spellingShingle	Samant, Shilpa S. ddc 630 bkl 58.34 misc Purchase intent misc Emotional response misc Sensory attribute misc Non-sensory factor misc Facial expression misc Autonomic nervous system response misc Vegetable juice Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
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topic_title	630 640 540 660 DE-600 58.34 bkl Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition Purchase intent Emotional response Sensory attribute Non-sensory factor Facial expression Autonomic nervous system response Vegetable juice
topic	ddc 630 bkl 58.34 misc Purchase intent misc Emotional response misc Sensory attribute misc Non-sensory factor misc Facial expression misc Autonomic nervous system response misc Vegetable juice
topic_unstemmed	ddc 630 bkl 58.34 misc Purchase intent misc Emotional response misc Sensory attribute misc Non-sensory factor misc Facial expression misc Autonomic nervous system response misc Vegetable juice
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title	Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
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title_full	Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
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title_sort	influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
title_auth	Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
abstract	Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions.
abstractGer	Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions.
abstract_unstemmed	Product-related sensory and non-sensory cues have been studied in the past to understand purchase behavior among consumers. However, there has been little research related to integrating emotional responses with such cues to achieve better prediction of consumer purchase behavior. This study aimed to determine the impacts of sensory attribute intensities (SAI), non-sensory factors (NSF), and emotions on purchase intent and consumer choice. Emotional responses were measured using a self-reported emotion questionnaire (EQ), facial expression analysis (FE), and autonomic nervous system responses (ANS). Sixty-nine adults were asked to view product labels, and look at, smell, and drink five commercially-available vegetable juice samples. For each sample, SAI, NSF, EQ, FE, ANS, and purchase intent ratings were measured. Participants were also asked to select the one they would be most likely to buy. Results showed that the five samples differed significantly with respect to SAI, NSF, and emotional responses measured by EQ and FEs. SAI (bitterness intensity) and NSF (brand liking) played an extremely important role in purchase-related behavior of vegetable juice products. Correlation analysis and a PLSR prediction model further revealed that products with higher ratings of purchase intent elicited lower levels of negative emotions and higher levels of positive emotions, as measured by EQ as well as FE. In conclusion, this study shows that NSF in combination with SAI and emotions measured using EQ and FE can modulate consumer purchase intent toward vegetable juice products under informed tasting conditions.
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title_short	Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition
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up_date	2024-07-06T21:27:42.068Z
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Influences of sensory attribute intensity, emotional responses, and non-sensory factors on purchase intent toward mixed-vegetable juice products under informed tasting condition

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