How does ad relevance affect consumers' attitudes toward personalized advertisements and social media platforms? The role of information co-ownership,vulnerability, and privacy cynicism

Consumers' responses to the use of their personal data for personalized advertising by platform providers are paradoxical. Drawing from psychological ownership theory and the collective information boundary, this study examines how the social relevance and personal relevance of ads impact consumers' attitudes toward advertisements and social media platforms. Basing on 350 responses, we confirm that perceptions of information co-ownership and feelings of vulnerability play a serial mediating role in the positive relationship between ad relevance and consumer attitudes. Specifically, ad relevance increases consumers' perceptions of social media platforms as co-owners of their personal information, which in turn reduces feelings of vulnerability and improves their attitudes toward personalized advertisements and social media platforms. Privacy cynicism negatively moderates the indirect effects of information co-ownership perceptions on two attitude variables mediated through feelings of vulnerability. Our research findings provide a new perspective on the personalization–privacy paradox and offer platform providers new insights into improving their personalized advertising performance and user–platform relationships.     

Examining the role of receptivity to green communication,altruism and openness to change on young consumers’ intention to purchase green apparel: A multi-analytical approach

The current study aims to examine the impact of receptivity to green communication, altruism and openness to change on young consumers' purchase intention towards green apparel in India. Using a two stage approach, the research model is assessed with data collected through an online survey from a sample of 549 young consumers. In the first step, structural equation modeling (SEM) is used to determine the linear relationship among factors in the theoretical model. In the second step, artificial neural network (ANN) analysis is used to determine the predictive accuracy of the significant factors obtained from the SEM. The results from the SEM analysis reveal that receptivity to green communication, altruism and openness to change, along with the three predictors of the theory of planned behavior (TPB) significantly affect consumers’ purchase intention towards green apparel. Further, there is an indirect effect of altruism and openness to change on purchase intention through attitude supporting the value-attitude-behavior cognitive hierarchy (VABH). Besides, perceived behavioral control is found to mediate the impact of openness to change on intention to purchase green apparel. The root mean square of error (RMSE) values obtained from the ANN analysis suggest that the models show good predictive accuracy. The study contributes to the existing literature by confirming the applicability of the TPB and the VABH as well as suggesting a robust predictive framework by using ANN for green apparel purchase intention.