Globally, xenocentrism has emerged as a significant concept to understand consumer behavior regarding local and foreign products. In this context and based on a sample of Colombian customers, this investigation aims to analyze both the direct and indirect effects of xenocentrism on the consumer purchase intentions of imported products through product attitudes and perceived product quality. Xenocentrism was measured using the XSCALE, and the research model was analyzed with partial least squares structural equation modeling. The result indicates that xenocentrism has a positive direct effect on purchase intentions, perceived product quality, and product attitudes. The analysis also shows that product attitudes will partially mediate the effect between xenocentrism and purchase intentions. In light of these findings, xenocentrism in Latin America arises as a solid construction to explain consumer behavior, mainly when individuals’ beliefs generate a positive appreciation of the purchase of imported products that compete in local markets. Moreover, these results permit designing sustainable marketing strategies that are more suited to the xenocentrism of Latin American consumers.

This paper analyzes the scientific map of technostress and the scientific production on this topic between 1982 and 2017, highlighting its structure, evolution, and trends in this field. A literature review based on bibliometric analysis of 246 records indexed in Scopus database was conducted. These publications were analyzed according to bibliometric indicators and through science maps with SciMAT. Co-occurrence of terms by grouping techniques was implemented. In addition, elaboration of maps of science and performance analysis for periods was executed. The main contribution of this work is to provide the first scientific map of technostress and a detailed understanding of the scientific production that predicts the directions of future research. The bibliometric analyses permit an overview of the growth, extent and distribution of the scientific literature related to the technostress and the study of the scientific production of an institution, country, author or research group.

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The lack of blood donors is a global problem that prevents the demand for blood prompted by an ageing population and increased life expectancy from being met. The aim of this study was to conduct an initial exploration of the reasons for using digital platforms in blood donation. Using a Theory of Planned Behaviour (TPB) framework, microdata for 389 participants from Latin American countries and Spain, and Partial Least Square-Structural Equation Modelling (PLS-SEM), the study obtained three main prediction paths. The first two started from feelings of trust in the digital community and a positive mood state associated with a modern lifestyle, and they were linked to attitudes and behavioural control in the explanation of the intention to donate and actual blood donation. The third path started from modern lifestyles, and was linked to the subjective norm in the prediction of intention and actual donation. These paths represent one of the very first attempts to predict intentions of donation and collaborative donation by taking a PLS-SEM approach. By determining the paths underpinning collaborative blood donors’ motives, the results of this study provide strong support for the usefulness of the TPB model within the context of digital platform use and blood donation.

Electronic commerce has shown exponential growth over the past decade, but the impact of COVID-19 has exceeded all expectations. Based on the theory of planned behavior, this paper aims to investigate the relationship between consumer ethnocentrism and internet purchase behavior in times of pandemics. Data was collected from 294 online purchasers, and the analysis was conducted utilizing a Partial Least Squares Structural Equation Modeling approach. The results indicate no significant impact on the relationship between the planned online purchase behavior and the country of origin when consumers face a health crisis. Additionally, the outcomes show that attitude toward online shopping positively affects online purchase behavior.

The blood donation process is essential for health systems. Therefore, the ability to predict donor flow has become relevant for hospitals. Although it is possible to predict this behaviour intention from donor questionnaires, the need to reduce social contact in pandemic settings leads to decreasing the extension of these surveys with the minimum loss of predictivity. In this context, this study aims to predict the intention to give blood again, among donors, based on a limited number of attributes. This research uses data science and learning concepts based on symmetry in a particular classification to predict blood donation intent. We carried out a face-to-face survey of Chilean donors based on the Theory of Planned Behaviour. These data, including control variables, were analysed using the decision tree technique. The results indicate that it is possible to predict the intention to donate blood again with an accuracy of 84.17% and minimal variables. The added scientific value of this article is to propose a more simplified way of measuring a multi-determined social phenomenon, such as the intention to donate blood again and the application of the decision tree technique to achieve this simplification, thereby contributing to the field of data science.

Understanding social behavior and explaining its implications is essential when examining consumer xenocentric behavior. This study evaluated the direct effects of consumer xenoncentrism on product attitude and purchase intention of imported products and analyzed the moderating impact of formal education on xenocentric consumer behavior considering groups with higher and low formal education levels. Structural equation modeling technique and multigroup analysis based on samples collected from Chilean consumers were used to analyze the research model. There were 295 effective online questionnaires (42.4% females and 57.6% males). This study’s findings suggest that consumer xenocentric effects are directly related to imported products’ product attitude (G: R2 = 0.254; L: R2 = 0.121; H: R2 = 0.327) and purchase intention (G: R2 = 0.454; L: R2 = 0.469; H: R2 = 0.365). In addition, findings exhibit that xenocentric consumer behaviors are more significant when associated with formal educational level (G: 0.575; L: 0.640; H: 0.443). Therefore, as education levels increase, the xenocentric effect also increases. An important application of these findings is that education in emerging countries and developing economies should strengthen local production valorization and promote marketing strategies that foster the sustainable consumption of products manufactured in their own countries.