Worldwide organic food consumption has registered a consistent rise in recent years. Despite the relevant body of literature on the topic, it is necessary to further understand the antecedents of purchase intention. This article aims to identify the factors that influence the consumer’s intention to purchase organic food. It extends the theory of planned behavior model by including environmental concerns, health concerns, and perceived quality as determinants of attitude toward organic food products. Additionally, it considers the effect of product availability on consumers’ perceived behavioral control. This article includes a quantitative study that was conducted in Portugal in 2020 (n = 206). Structural equation modeling was used to test the proposed set of research hypotheses. In line with extant literature, this study confirmed that attitude toward organic food is the main determinant of purchase intention. Additionally, it demonstrates that health concerns and perceived quality have a significant impact on attitude toward organic food. The impact of environmental concerns on attitude was not confirmed by this study. Based on these findings, it is recommended that managers stress health benefits and quality of organic food in order to foster positive attitudes and consequently leverage purchase intention.

Organic food purchase behavior is attracting increasing attention from researchers and managers. However, there is a need to further explore differences among groups of consumers, namely with regards to cultural dimensions. To help fill this gap, this article aims to examine the impact of collectivism on the determinants of organic food purchase intention and behavior. Building on the theory of planned behavior, this article suggests its extension by considering an additional set of explanatory variables that are shown to be relevant to explain consumer behavior. It includes a quantitative study conducted with young consumers from two European countries, Norway (n = 468) and Portugal (n = 448). Structural equation modelling allowed to conclude that collectivism positively impacts attitude, subjective norm, perceived price, and environmental concern towards organic food. The expected positive impacts of collectivism on product availability and health concerns were not supported by the study. Furthermore, the positive impact of attitude, subjective norm, perceived price, health consciousness, and environmental concerns on intention to purchase organic food were also confirmed, even though availability had an insignificant impact on intentions. Finally, and aligned with extant literature, this study also found a positive impact of intention to purchase behavior on organic food. Interestingly, the positive relationship between Collectivism and Availability, and between Availability and Purchase Intention, was only significant for Portugal. The study confirms the relevance of considering cultural dimensions, particularly collectivism/individualism, to further understand consumer behaviors toward organic food. Based on the findings, implications for both managers and researchers are highlighted.

Data generation is currently expanding at an astonishing pace, and the function of marketing is becoming increasingly sophisticated and customized. Companies seek to understand their internal corporate environment and externalities and to exponentially enhance their marketing power. This study aims to understand the influence of Big data analysis on digital marketing. The methodologies used to approach this issue were: (a) a systematic literature review based on articles dated between 2014 and 2020; and (b) a bibliometric analysis of articles dated between 2000 and 2020 using the software VOSviewer. The literature review allowed us to conclude that in the next decades, the business world in general, and marketing in particular, will define more oriented strategies based on a more profound knowledge of consumer behavior. Artificial intelligence agents driven by machine learning methods, technology, and Big data will be a conditioning factor in defining these strategies.