This study provides insights into e-lifestyle of Internet users and their avoidance of Internet advertising. Determining the type of avoidance of each e-lifestyle aids the development of strategies for designing and publishing advertisements on the Internet, so that their effectiveness is enhanced and the negative trend of clicks on Internet advertisements is reduced. A survey was conducted with a group of 412 participants. The data were analysed through structural equation modelling (SEM) and multiple regression analysis both before and after adjusting the data by introducing the effect of average hours of Internet use on participant responses. The results obtained by analysing the main data reveal that e-lifestyle does not have a significant effect on Internet advertising avoidance (IAA). However, analysis of the modified data does indicate a significant effect. Also, in the analysis of the main and modified data, the type of avoidance from Internet advertising (cognitive, affective, and behavioural) varies according to each e-lifestyle. To the authors’ belief the present study is the first reporting an investigation of the effect of e-lifestyle on avoidance of Internet advertising adjusted by average hours spent online.
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