This study investigates the impact of Big Data Analytics (BDA) on digital marketing performance, with a particular focus on the mediating role of Knowledge Management (KM). As organizations increasingly adopt BDA to enhance marketing intelligence, customer engagement, and strategic decision-making, the effectiveness of these initiatives hinges on their ability to manage and translate data into actionable insights. To explore this relationship, a quantitative survey was conducted among marketing managers and digital strategy experts from e-commerce and technology-driven firms. Structural Equation Modeling (SEM) was employed to assess both the direct and indirect effects of BDA on digital marketing performance, with KM serving as a mediating variable. The results demonstrate that KM significantly mediates the relationship between BDA and marketing outcomes, suggesting that the integration of robust KM systems enhances the value derived from data analytics. Firms that align their analytical capabilities with effective knowledge-sharing practices are more likely to achieve agility, foster innovation, and sustain competitive advantage in the digital marketing landscape.

The current paper discusses the factors, which affect consumer acceptance of online shopping platforms in Saudi Arabia. It examined this by the Unified Theory of Acceptability and Use of Technology (UTAUT2) model and the other factors of trust and user experience. The present paper has assessed how trust and experience have an effect on the behavioral intention of online shopping websites within the context of Saudi Arabia. It is based on the UTAUT2 model. The study was quantitative in nature and a survey technique was used to gather information about Saudi customers. The research was conducted based on a model known as structural equation modeling (SEM) that was employed to test the correlation between the elements proposed and the acceptance of online shopping platform. Findings of the research indicate that expectancy of performance, social influence and trust are highly potent factors that determine the desire to utilize online shopping platforms. All this makes the level of customer acceptability very high with regard to overall satisfaction and intentions to buy online. There was no significant effect of effort expectancy and enabling environments as well as hedonic incentives on behavioral intention, however. These results reveal that trust and pleasant user experience are major factors that define the uptake of Internet commerce in Saudi Arabia among consumers. We discover that the long-held opinion that other factors such as performance expectancy and social influence continue to play a role in acceptance of online purchasing technology is true. However, the aspects of trust remain decisive, depending on the traits of cognition and user experience. The study had practitioner implications among researchers of consumer behavior on digital marketplace. This implication is clear to people who belong to the e-commerce industry or to people who are developing a feature to win the favor of users. In such situations, the measures of trust-building need to be implemented, and the user experience needs to be optimized.