Experiences Of Attitude Towards In-App Mobile Advertising: Moderating Role Of Permission In Justifying Privacy Concerns “A Conceptual Model”

Abstract

Mobile applications provide marketers with a very specific outlook on their followers as they have the ability to pull direct demographic and geo-location data. This allows marketers to align their audience closely to their marketing and advertising efforts which ultimately helps marketers get the most value out of their ad campaigns. Ultimately, in-app advertising offers countless marketing possibilities for advertisers to explore. However, on the other end, users appear to be adopting techniques to avoid unnecessary target marketing. In this connection, theory of planned behavior(TPB), theory of reasoned action (TRA) and theory of acceptance model (TAM) were employed with the aim to develop a conceptual model of individual attitude towards In-app mobile advertising. Nexus to the phenomenon, four variables (advertising utility, irritation, trust and privacy concerns) as independent variables were selected from the literature. Consequently, permission based advertising has been applied as moderating variable to test the moderating effect of permission in between the relationship of independent variables and dependent variable. Examining the variables that might enhance users' attitudes toward in-app advertisements and lead to increased ad acceptance, this research study seeks to address the problem of ad avoidance. In this research, views toward in-app mobile advertising can be investigated with the help of direct effects of independent variables and moderating effect of permission based advertising in enhancing the advertising utilities, and trust while reducing irritation and privacy worries. Nexus to the adopted methodology for the current research study, an explanatory research study can be conducted to test eight hypotheses. Given the present situation of country, the elections are just around the corner and that the political parties and their followers presumably are the best targeted sample for the current study.