Consumer preference for novelty in processed foods: a developing country perspective

PurposeThis study examined consumer preference and willingness to pay a premium price for indigenous chicken products in Ghana.Design/methodology/approachData were obtained from 240 consumers in Ghana through the administration of a structured questionnaire. Probit regression was used to examine the factors influencing consumer preference for indigenous chicken products in Ghana. Ordered probit regression was employed to examine the factors influencing the percentage premium price a consumer is willing to pay for indigenous chicken products whereas the cluster analysis was used to segment the consumers.FindingsDifferent sets of factors were identified to have influenced the decision to purchase indigenous chicken products and the willingness to pay for a premium price. In total, four market segments were identified in this study: shopper consumer segment, the conventional or ethnocentric consumer segment, the privilege consumer segment and the pleasure-seeker consumer segment.Research limitations/implicationsThe important factors to learn from this study are the following: examining the critical success factors for the promotion of indigenous chicken products in Ghana is an excellent opportunity for future research. Second, the choice of locally-produced exotic breeds/strains of chicken meat has not been examined in this study. Therefore, a comparative study of consumer preference of the locally-produced exotic breeds/strains of chicken in Ghana is another great opportunity for further research.Originality/valueRegardless of the seemly opportunities in regional marketing, Ghana has not leveraged on this to promote a regional marketing brand for its local products – like indigenous chicken products – over imported chicken products. Besides, regionalism studies on agricultural products have received less attention in Ghana; therefore, this study contributes to a better understanding of consumer choice of indigenous chicken products, potentially, and the marketing of regional food products in Ghana.

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“…and Alphonce et al (2020) NB: under education variable, 3 5 senior high school level and 2 5 junior high school…”

mentioning

confidence: 99%

Consumer segmentation and preference for indigenous chicken products

Bannor

Abele

Kuwornu

et al. 2020

JADEE

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“…In this respect, other scholars (van der Wees and Moonen, 2011; Pino et al, 2016;Boccia and Covino, 2021) referred to CSR initiatives that have a powerful effect on consumer decisions. Furthermore, in many developing and developed countries, the emphasis on biotechnological foods has recently increased (Alphonce et al, 2020), which has led to the growth of social problems. These social problems mainly focus on challenges such as the environment, ethics, philanthropy, and the law.…”

Section: Discussion and Implicationmentioning

confidence: 99%

Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph

Akbari¹,

Mahavarpour²,

Moshkdanian³

et al. 2023

Front. Sustain. Food Syst.

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IntroductionThe main purpose of this study is to extract the rules and patterns governing the behavioral intention of consumers towards the adoption of genetically modified foods (GMFs).MethodThe proposed method is a combination of Rough Set Theory (RST) and Flow Network Graph (FNG). Data was collected from 386 consumers to extract rough rules. 13 rules have been chosen from 289 original rules that were divided into three groups: low, medium, and high intention to use GMFs. They were chosen because of the support values and other indexes that were used in the RST. Eventually, to interpret the performance of the generated rules, FNG were illustrated for each decision-making class, and seven patterns were extracted.ResultsThe findings confirm that corporate social responsibilities, consumer concerns, occupational status, and consumer autonomy are more important than other observed dimensions in consumers' decision-making. Moreover, the findings illustrate that combining Rough Set Theory and Flow Network Graph could predict customers' intentions and provide valuable information for policy-makers in related active industries.DiscussionBased on the analysis outcomes, the most significant factors that affect consumers' intention to use GMFs are: “consumer perception of CSR”; “consumer concerns”; “occupational status”; and “consumer autonomy”. Thus, managers and policymakers must pay more attention to these concepts when they survey consumer intention behavior.

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“…In Tanzania, due to a strong cultural preference for fresh fruits and vegetables, the majority of consumers tend to be reluctant and unwilling to purchase processed foods including dried, chilled, or frozen food products. Studies have suggested that the negative perception of processed foods could be attributed to a lack of exposure to quality processed foods, pricing concerns, underdevelopment of food processing industries, and cultural reasons (Mmari et al, 2015;Alphonce et al, 2020;Chacha and Laswai, 2020). This means that proper education and consumer sensitization will be needed to address public concerns over chilled and other forms of processed tomatoes.…”

Section: Socio-cultural Barriersmentioning

confidence: 99%

Understanding barriers impeding the deployment of solar-powered cold storage technologies for post-harvest tomato losses reduction: Insights from small-scale farmers in Tanzania

Rutta

2022

Front. Sustain. Food Syst.

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Postharvest food loss remains one of the major food security challenges in Sub-Saharan Africa (Africa). In Tanzania, it is estimated that about 50 percent of fresh tomatoes perish before reaching consumers due to poor post-harvest management. The lack of cold storage facilities is one of the leading causes of massive post-harvest tomato losses, negatively affecting farmers' livelihoods and the sector's economic contribution. For small-scale farmers in off-grid locations, the adoption of solar-powered cold storage technologies has been found to be a potential solution for reducing losses of highly perishable crops such as tomatoes. However, in Tanzania, the deployment of Solar-powered Cold Storage Technologies (SPCSTs) is limited, leaving the vast majority of rural small-scale farmers without access to such facilities. This study examined barriers impeding the deployment and uptake of Solar-powered Cold Storage Technologies in Tanzania. Farmers' perceptions about SPCSTs and constraints limiting their deployment were examined through semi-structured interviews and Focus Group Discussions (FGD) held between April and June 2021 in Kilolo district, Southeast Tanzania. Participants involved fifty-two (n = 52) small-scale tomato farmers and twenty-three (n = 23) experts and key informants from government and non-profit organizations that were purposively selected. The results show that the deployment of solar-powered cold storage technologies is constrained by limited awareness, high investment costs, low-paying capacity among farmers, and consumer preference for non-refrigerated foods. Addressing these barriers demand promoting policies and programs that attract and retain investment in cold storage technologies and improve SPCSTs affordability through flexible payment arrangements.

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Consumer preference for novelty in processed foods: a developing country perspective

Cited by 9 publications

References 62 publications

Consumer segmentation and preference for indigenous chicken products

Consumer segmentation and preference for indigenous chicken products

Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph

Understanding barriers impeding the deployment of solar-powered cold storage technologies for post-harvest tomato losses reduction: Insights from small-scale farmers in Tanzania

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