Date of Conferral
Doctor of Business Administration (D.B.A.)
Ecommerce sales were expected to increase to $4.8 trillion dollars in 2021 for online retailers in the United States. Behavioral marketers increase sales and revenue by targeting potential customers based on the use of ecommerce consumers' personal information. This correlational research study was framed with the theory of planned behavior. The participants were behavioral marketers based in the United States who completed an online survey. The data were analyzed using multiple regressions and analysis of variance analyses to answer the research question. The results of the analysis answered the research question regarding the correlation between behavioral marketer's attitudes, social norms, and perceived behavioral control (PBC), especially concerning the collection of ecommerce consumers' personal information. The results of the analyses indicated attitude is a strong predictor for behavior intention, as indicated by a positive correlation. The ρ value was greater than .05; therefore, the null hypothesis was rejected. The social norms and PBC variables were not significant. Social norms resulted in F (14,18) = 2.298, ρ = .026. The p value is less than .05; therefore, the null hypothesis was accepted. PBC results were F (78,5) = 4.263, ρ = .048. The p value was less than .05; therefore, the null hypothesis was accepted. The findings showed that behavioral marketers have a strong correlation between their attitude and intention to protect ecommerce privacy. Behavioral managers might benefit from this study and contribute to social change by taking the lead in their organizations to change data collection methods to reduce the number of security breaches.
Jones, Brenda Ivory, "Understanding Ecommerce Consumer Privacy From the Behavioral Marketers' Viewpoint" (2019). Walden Dissertations and Doctoral Studies. 7878.