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This study aims to explore and understand the challenges and opportunities presented by the rising demand for organic products in the context of toddy consumption and marketing.

This research examines consumer behaviour and decision-making patterns using decision tree analysis. A survey questionnaire based on established theories was distributed to individuals above the legal drinking age of 23 in Kerala, India, using purposive and random sampling.

The study found that people's fondness for toddy shop food plays a crucial role in their food choices. When the fondness is low, subjective norms can override personal preferences. But when the fondness is high, individual perceptions take precedence.

Using machine learning techniques, we created a compass to guide marketing strategies and cultural preservation efforts in toddy shops by considering the complex factors that influence consumer decisions.

This study analyses the literature on artificial intelligence (AI) and its implications for the agri-food sector. This research aims to identify the current research streams, main methodologies used, findings and results delivered, gaps and future research directions.

This study relies on 69 published contributions in the field of AI in the agri-food sector. It begins with a bibliographic coupling to map and identify the current research streams and proceeds with a systematic literature review to examine the main topics and examine the main contributions.

Six clusters were identified: (1) AI adoption and benefits, (2) AI for efficiency and productivity, (3) AI for logistics and supply chain management, (4) AI for supporting decision making process for firms and consumers, (5) AI for risk mitigation and (6) AI marketing aspects. Then, the authors propose an interpretive framework composed of three main dimensions: (1) the two sides of AI: the “hard” side concerns the technology development and application while the “soft” side regards stakeholders' acceptance of the latter; (2) level of analysis: firm and inter-firm; (3) the impact of AI on value chain activities in the agri-food sector.

This study provides interpretive insights into the extant literature on AI in the agri-food sector, paving the way for future research and inspiring practitioners of different AI approaches in a traditionally low-tech sector.

Focusing on small- and medium-sized enterprises (SMEs), which are characterized by resource restrictions, this paper aims to explore consumer segment profiles by considering demographic, personality and creativity traits to determine whether consumers with different profiles exhibit distinct affective reactions to different logo design types (organic, cultural and abstract).

This exploratory study incorporates recent methodological developments, such as the novel response style correction method, to account for response style effects in evaluations of affect toward logo design. In separate analyses, respondents are segmented according to response style–corrected logo affect and personality and creativity items. The segmentation analysis relies on reduced k-means, a joint dimension and cluster analysis method, which accounts for dependencies between items while maximizing between-cluster variability. A total of 866 respondents from the Iberian Peninsula (Portugal: n = 543; Spain: n = 323) participated.

Based on a study using unknown logos (proxy for lower levels of budget communication, characteristics of SMEs), results reveal that there are three segments of consumers based on their affective response toward logo design: logo design insensitives, cultural logo dislikers and organic logo lovers. These segments are associated with different personality traits, creativity and biological sex (although biological sex is not a discriminant variable).

The decision not to control logos by color, to increase external validity, could limit the study’s internal validity if this aspect interacts with relevant study variables. Nevertheless, the empirical evidence can be used to further test associations between consumer profiles and responses to logo design.

Findings highlight the relevance of considering complex profile segments, combining demographics, psychographics and creativity to predict affective consumer responses to brand logo design. This research provides guidelines for SMEs when choosing or modifying their logo design to appeal to different consumer segments.

This study provides managers of SMEs (less present nowadays in empirical studies) with evidence suggesting that complex customer profiles help to understand differences in affective responses to natural logo designs. Furthermore, it relies on the use of a novel methodological development that improves the accuracy of the exploratory study developed.

This study (1) assessed restaurant consumers' perceived importance of better food quality versus larger portion sizes, (2) classified restaurant consumers into different segments based on their perceived importance of seven food quality attributes (taste, texture, aroma, appearance and the use of natural, local and organic ingredients) relative to portion size and (3) compared the identified market segments.

An online survey assessed 613 USA adult participants' perceived importance of seven food quality attributes relative to portion size. A K-means cluster analysis classified participants into different segments based on their perceptions.

Five restaurant consumer segments were identified: sensory-oriented consumers, taste-oriented organic food consumers, local and natural food consumers, quantity-oriented consumers and quality-oriented consumers. In general, quality-oriented consumers were the least likely to visit fast-food restaurants, had the highest average per-meal spending and were the least likely to eat out alone. Local and natural food consumers and taste-oriented organic food consumers had higher total restaurant spending than other groups. Quantity-oriented and sensory-oriented consumers visited fast-food restaurants more often and had lower total restaurant spending and per-meal spending than other groups. Age, sex and income were significantly associated with the segmentation outcomes.

Findings suggest promising opportunities for restaurants to enhance consumer perceptions of value by prioritizing the factors that hold the greatest significance to their target customers.

This study is the first attempt to segment restaurant consumers based on their perceived importance of food quality attributes relative to portion size, effectively identifying five distinct consumer segments.

This study aims to examine the most influential drivers, both product-specific and consumer-specific, affecting Asian consumers' willingness to pay (WTP) for organic olive oil.

To individuate the most influential drivers of WTP for organic products and to assess their effect, in terms of configurational paths and consumer profiles, this study sequentially employs explorative factor analysis approach and a fuzzy-set qualitative comparative analysis method. The survey is carried out in different areas of Asia (e.g. Pakistan, Vietnam and China).

The results suggest that Asian consumers' WTP for organic products is described by consumer-specific drivers (gender, occupation and household size) as well as product-specific drivers (product authenticity and sustainability, consumer ethnocentrism and food fraud risk perception).

The findings of the study permit the identification of different drivers that move consumers' WTP for organic olive oil. The study contributes to setting the ground for companies to propose and implement efficacious marketing strategies for organic olive oil in importing countries, such as Asia.

This study aims to examine the effect of social influence, environmental concerns and altruism on consumer purchase intention of eco-fashion (PIEF). In addition, this study, exploring the essential behavioral outcomes influenced in marketing, seeks to deepen the existing insight in this area.

To obtain the required data, the authors surveyed a group of people with previous experience in the purchase of eco-friendly apparel. The research hypotheses were tested using the structural equation modeling technique.

According to the results, social influence had the most significant impact on PIEF. Also, environmental concerns and altruism had a significant effect on PIEF. The results further indicated that eco-fashion purchase intention, in turn, influenced consumer willingness to engage in eWOM and pay a price premium.

The results of the present study guide marketing practitioners for the segmentation of target consumers, as the information on consumers’ natural needs and desires in a socio-cultural context is of significant use to fashion managers to understand their customers deeply. This information also helps them discover better ways of designing their marketing campaigns.

This paper contributes to research by advancing an understanding of how consumers make eco-fashion consumption decisions in purchasing apparel and provides businesses with managerial insights into devising marketing strategies to promote eco-fashion consumption, which facilitates fashion companies’ development of a sustainable fashion supply chain.

Este estudio examina el efecto de los factores influencia social, preocupación medioambiental y altruismo en la intención de compra de moda ecológica (PIEF) por parte de los consumidores. Además, este estudio, que explora los importantes resultados conductuales influenciados en el área del marketing, pretende profundizar en los conocimientos existentes en esta área.

Se encuesto a un grupo de personas con experiencia previa en la compra de ropa ecológica. Las hipótesis de la investigación se contrastaron con SEM.

La influencia social fue la que más influyó en el PIEF. Asimismo, la preocupación por el medio ambiente y el altruismo tuvieron un efecto significativo en el PIEF. Los resultados indicaron además que la intención de compra de moda ecológica, a su vez, influía en la disposición del consumidor a participar en el eWOM y a pagar un sobreprecio.

Los resultados del presente estudio orientan a los profesionales del marketing en la segmentación de los consumidores objetivo, ya que la información sobre las necesidades y deseos naturales de los consumidores en un contexto sociocultural es de gran utilidad para que los gestores de la moda conozcan en profundidad a sus clientes. Esta información también les ayuda a descubrir mejores formas de diseñar sus campañas de marketing.

El artículo contribuye a la investigación al avanzar en la comprensión de cómo los consumidores toman decisiones de consumo de moda ecológica en la compra de prendas de vestir y proporciona a las empresas ideas de gestión para diseñar estrategias de marketing que promuevan el consumo de moda ecológica, lo que facilita a las empresas de moda el desarrollo de una cadena de suministro de moda sostenible.

环境关注和利他主义等因素对消费者购买环保时装意向（PIEF）的影响。此外, 这项研究探讨了在营销领域有影响的重要行为结果, 试图深化这一领域的现有见解。

我们调查了一组有购买生态友好服装经验的人使用结构方程模型（SEM）方法对研究假设进行了检验。

社会影响对PIEF的影响最大。此外, 对环境的关注和利他主义对PIEF也有重大影响。结果进一步表明, 环保时装的购买意向反向影响了消费者参与eWOM和支付价格溢价的意愿。

且结果只限于环保时装消费。

本研究的结果为营销从业者提供了关于细分目标消费群体的指导。消费者在特定社会文化背景下的自然需求和欲望等信息对于时尚经理人深入了解他们的顾客来说有重要作用, 而这些信息也有助于他们探索更好地设计营销活动的方法。

为企业提供了设计促进环保时装消费的营销策略的管理建议。这促进了时尚公司发展可持续时尚供应链, 为该领域研究做出了贡献。

The ongoing transition in the attitude of consumers toward health and environment has a direct implication on the organic food industries, making it necessary to examine the drivers of the purchase intention of organic food items, specifically in developing economies like India. Therefore, this study tries to frame and validate the instrumental scale by collecting data from 574 organic food item consumers to examine the determinants of purchase intention among consumers in India.

This study has employed advanced statistical tools i.e. Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Harmon’s single factor test and other statistical measures using SPSS and AMOS 23, for framing and validating the instrumental scale for this study.

The results of EFA explain 67.714% variance of total research variable variance with six major constructs. Moreover, the result of the CFA confirms the six factors and the proposed instrumental scale. The finding explicates that health consciousness, ecological trustworthiness and functional value are the major drivers of the purchase intention of organic food items.

This study has major policy implications for organic producers, processor and marketers for understanding the complex phenomenon of organic consumer behavior. The result explains that marketers and producers should adopt ad hoc marketing strategies that aim to promote the organic food items as healthy and safe.

There is hardly any study that has proposed and validated an instrumental scale with these factors collectively in India for studying the purchase intention of organic food consumers in India.

The study aimed to investigate consumers’ views on criteria to be claimed for organic processed foods and information to be communicated.

An online survey was carried out among 439 adults living in Italy, users of processed organic food, to gather opinions on criteria that processing of organic food should meet and on the terms that best define “careful” processing. Next, a conjoint design was applied to examine the effects of five independent factors on consumers' ideal concept of “organic”; these were potential information on packaging, processing, additives and product quality, and the type of food product. Three products with different processing level were selected: an ultra-processed and multi-ingredient product (vegetable burger), a processed product preserved by canning (peas in glass jar) and a minimally processed product (bagged salad).

The findings highlight that consumers attach more importance to the organic food carrier than the informational messages. Information on the processing and packaging follows, with messages on quality and on additives seemingly of minor importance. Three clusters of respondents were identified: those driven primarily by the type of organic food (24.6%), those placing more emphasis on product processing (21.3%), and a third larger cluster (54.1%) who expressed almost equal importance to all the factors considered. As for the processing of organic products, “eco-friendly” was the best message.

This paper offers insights into what best outlines the ideal concept of “processed organic food” as seen by organic food consumers, to be communicated to better guide their purchasing decisions.

This study aimed to identify and profile segments of seaweed consumers in the United Kingdom.

Hierarchical k-means cluster analysis was used to identify consumer segments based on consumers' self-identity and environmental values. In addition, the study used subjective knowledge, intentions and consumption to profile different consumer segments. The data were collected in 2022 through a consumer survey with a representative sample from the United Kingdom (n = 1,110).

Cluster analysis segmented consumers into three groups: progressive (39%), conservative (33%) and egoistic (28%). The progressive segment was most likely to consume seaweed food products. Consumers in the progressive segment identify themselves as food innovative and healthy; they also highly value the environment and their pleasure. Conservative and egoistic consumers were significantly less likely to consume seaweed food products.

The results suggest that public policy officers and marketers promote seaweed food products by emphasizing biospheric values for innovative (younger) consumers, as well as seaweed’s good taste and nutritional/health qualities.

This study identifies and examines the profiles and characteristics of seaweed consumers based on their values and self-identity. Through this research, the authors have discovered how environmental values and self-identity can effectively group consumers into homogeneous segments. Moreover, the authors have identified a specific consumer group in the UK that is more likely to consume seaweed food products.

The psychological foundations of consumers’ reasons for product choices are analyzed in the field of marketing. The purpose of this research is to identify the implicit reasons for white meat consumption in the UK and Turkey.

In the scope of the means-end chain theory, in-depth interviews were conducted with individuals, and the reasons for consumers’ product preferences were revealed by moving from concrete to abstract.

It has been determined that the white meat consumption of Muslims in the UK is primarily shaped by their religious approach. In Turkey, on the contrary, both consumption patterns and reasons for preference are changing. It has been found that white meat consumption is associated with values such as security needs, satisfaction with life, self-fulfillment and happiness.

This research has contributed to the marketing literature by examining consumers’ implicit consumption reasons for white meat in the context of religion and culture.

Marketing strategies should focus on building trust in halal certification, particularly in the UK. Brands should associate their promotion strategies with feelings of security and happiness, which are associated in the minds of consumers.

This study is a new study in terms of revealing the connotations of consumers about consuming chicken and fish and showing the implicit needs that the brands can emotionally associate with.