A review of sustainability, deterrents, personal values, attitudes and purchase intentions in the organic food supply chain

Shashi, .; Kottala, Sri Yogi; Singh, Rajwinder

doi:10.1016/j.psrb.2016.09.003

Cited by 29 publications

(29 citation statements)

References 85 publications

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“…Many studies only explain intentions and generally assume that behavior is a good predictor of intent. Ot has been determined that subjective norms and attitude towards behavior have positive effect on the intention to purchase organic food products (Seo et al, 2014;Shashi et al, 2015;Joshi & Rahman, 2017;Rana & Paul, 2017;Savita & Verma, 2017;Singh & Verma, 2017). The intent is seen as the most important factor in influencing performance of the behavior.…”

Section: Behavioral Intention (Bi)mentioning

confidence: 99%

“…On addition to the concerns about conventional food, the health and environmental sensitivities of consumers, the increase of social knowledge, consciousness and education level and improvements in consumer income level have been effective in the increase of organic food consumption. (Chen et al, 2014;Shashi et al, 2015;Tsai et al, 2015;Agovino et al, 2017;Savita & Verma, 2017;Chekima et al, 2017;Lian, 2017;Rana & Paul, 2017;Oroian et al, 2017;Asif et al, 2018;Apaolaza et al, 2018;Hansen et al, 2018;Gomiero, 2018). On addition to these, consumers find organic foods more nutritious and tasty than traditional products.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the impacts of the consumers’ awareness of organic food on consumption behavior

Demirtaş

2019

Food Sci. Technol

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Consumer demand for organic foods has increased significantly in recent years in the world. Consumers are influenced by various internal/external factors when purchasing food products. The aim of this study is to determine the effects of knowledge variable on consumers' purchasing or consuming behavior for organic foods together with other factors in Turkey (Hatay City). For this purpose, the effects of consumers' organic product knowledge levels are examined within the frame of Theory of Planned Behavior. The data of 431 consumers analyzed in the model were collected in 2017 with a 21 scale questionnaire and analyzed with Structural Equation Model. According to the results of the model analysis, a significant part of the variance in consumers' organic food demand (61%) was explained by the organic food knowledge variable. Reducing consumption obstacles, along with efforts to increase the organic food knowledge of consumers, will increase organic demand. While trying to increase the supply of organic products especially in regions where consumers are concentrated, the food production sector should also focus on informing, raising awareness and promoting. The actual buying behavior in organic food products should be examined in more detail in terms of motivation sources and obstacles.

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Section: Behavioral Intention (Bi)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of the impacts of the consumers’ awareness of organic food on consumption behavior

Demirtaş

2019

Food Sci. Technol

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“…Household income level consistently shows a positive effect on adoption of both organic purchases [11] [17] [27] and BMPs such as organic agriculture and IPM [8] [28] because this helps adopters overcome financial constraints related to organic products/inputs. We leave cost issues of organic pesticides to a discussion of price consciousness at the end of this review.…”

Section: Factors Affecting Household's Adoption Of Organic Pesticidesmentioning

confidence: 99%

“…Similarly, higher educational level of homeowners tends to result in pesticide-free purchases [11] [27] [32] or use of organic practices [33], but the relationship is insignificant in other studies [26].…”

Section: Factors Affecting Household's Adoption Of Organic Pesticidesmentioning

confidence: 99%

Determinants of Households’ Adoption of Organic Pesticides for Lawns and Gardens

Tran¹,

McCann²,

Shin³

2020

JEP

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This study investigates organic pesticide adoption in residential lawn care management, incorporating determinants based on a synthesis of multiple literatures. A mail survey using the Dillman method was conducted in Missouri in 2014 with a random sample of 2000 single-family households (44.1% effective response rate). The data indicate an adoption rate of 17.7% for organic pesticides. This unique dataset also allows us to differentiate distinct non-adopters by familiarity with the practice as well as non-use of any pesticides. Multinomial logit regressions find environmental concerns, awareness of neighbor's opinions, and gardening behaviors as significant determinants. The effects on relative probability of being an adopter are large: 18 times more likely for people with serious environmental concerns or 5 times more likely for those spending more than 15 hours per month on lawn care.

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“…It can be seen that the eating motivations in women were more pronounced when the health was concerned (22.69%) followed by the environmental and political concerns (16.73%) with significant differences as compared to men (15.48% and 9.78%, respectively). Documented evidence suggests that women are more inclined to buy environmental friendly foods than men (Shashi et al 2015) and also tend to adopt behaviours aimed at improving and/or maintaining a good health status, as compared to men (MacBride-Stewart et al 2016). The differences between genders were not statistically significant for the economic & availability or the marketing & commercial motivations.…”

Section: Sociodemographic Factors Affecting Eating Motivationsmentioning

confidence: 99%

Influence of sociodemographic factors on eating motivations – modelling through artificial neural networks (ANN)

Guiné

Ferrão

Ferreira

et al. 2019

International Journal of Food Sciences and Nutrition

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This study aimed at investigating the influence of some sociodemographic factors on the eating motivations. A longitudinal study was carried conducted with 11960 participants from 16 countries. Data analysis included t-test for independent samples or ANOVA, and neural network models were also created, to relate the input and output variables. Results showed that factors like age, marital status, country, living environment, level of education or professional area significantly influenced all of the studied types of eating motivations. Neural networks modelling indicated variability in the food choices, but identifying some trends, for example the strongest positive factor determining health motivations was age, while for emotional motivations was living environment, and for economic & availability motivations was gender. On the other hand, country revealed a high positive influence for the social & cultural as well as for environmental & political and also for marketing & commercial motivations.

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A review of sustainability, deterrents, personal values, attitudes and purchase intentions in the organic food supply chain

Cited by 29 publications

References 85 publications

Assessment of the impacts of the consumers’ awareness of organic food on consumption behavior

Assessment of the impacts of the consumers’ awareness of organic food on consumption behavior

Determinants of Households’ Adoption of Organic Pesticides for Lawns and Gardens

Influence of sociodemographic factors on eating motivations – modelling through artificial neural networks (ANN)

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