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.

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.

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.

The roles and positive impacts of business incubators, including virtual ones, in promoting entrepreneurship and innovation in multiple industries, and their consequent contributions to fostering sustainable economic growth and social development, have been highly advocated in the extant literature. Nonetheless, several authors highlight the urgent need to further carry out research concerning these structures’ operation models by involving end users, since knowledge related to this phenomenon remains scant. This study sets out to convey the third phase of a broader research and development project following a design science research methodology. Ultimately, this contributes to the field by proposing a new virtual business incubator model with immediate practical applicability. This model was cocreated and validated with 23 incubator managers and startup founders from 15 business incubation centers during focus group sessions and organized into 8 dimensions concluded as fundamental in future digital incubation programs. Moreover, this study offers knowledgeable guidelines to support academics, practitioners, organization managers, or other professionals interested in building and running virtual business incubators. The main strengths and weaknesses of the proposed model are also highlighted, and several recommendations are provided to surpass the expected challenging stages of its implementation.

Increased environmental awareness has increased the demand for green products, mainly cosmetics. This fact challenges companies to adapt to changes and consider environmental problems in their communication strategies to offer products that meet current trends in the consumer market. This implies the need to understand the antecedents of purchase intention better. This research was guided by the theory of planned behaviour (TPB) with the aim of understanding the impact of online communication strategies on consumer purchase intention of green cosmetics. Intention to purchase green cosmetics was measured, as were two of the main TPB constructs, specifically attitude and subjective norms. In addition, other variables were added to the study, such as electronic word of mouth (e-WOM), influencer marketing, and brand content. Data collected through an online survey (N = 151) were analysed using statistical techniques based on variance through partial least squares (PLS) using the SmartPLS3 v.3.3.9 software. The results show that the online communication strategies that impact the purchase intention of green cosmetics are e-WOM and brand content. In practice, the results obtained provide valuable information for professionals and academics, benefiting the perception of the factors that motivate the intention to purchase green cosmetics, contributing to the implementation of better online communication strategies.

Virtual business incubators have been highlighted for their positive impacts in fostering entrepreneurship and innovation in several business areas, contributing to sustainable economic growth and social development. However, despite their crucial roles, previous literature emphasizes that research concerning their business models has been largely ignored, and several important issues are still unaddressed. This article aims to contribute to filling this gap and advancing this field by providing the first bibliometric and systematic literature review, as far as the authors know, concerning virtual business incubator models. The main results reveal the following: that academic production is relatively new, fragmented, and develops under a diversity of research paths; the analyzed models (n = 12) have only some dimensions in common and are proposed based on three different perspectives (business organization and management, information and communication systems, and user experience); there is not a virtual business incubator model more suitable to support digital businesses or startups creation. Based on the results, it is argued that there is a need to further develop a model towards a unified virtual business incubator by actively involving different stakeholders during its design. This research can help managers, academics, and other professionals interested in running virtual business incubator programs.