In the current digital age, online marketing is a key factor in the success of companies, influencing the relationships among businesses. Artificial intelligence (AI) is leading the way in this evolution, fundamentally changing the tactics and structure of online marketing. This paper examines the major effects and ethical concerns related to incorporating AI in online marketing strategies. Starting with a summary of AI’s development and its crucial position in present-day marketing, the research emphasizes its revolutionary functions such as making decisions based on data, providing customized user experiences, and automating processes. By developing AI algorithms, marketers can analyse bigger datasets, determine patterns, and predict trends, introducing the world into a new era of marketing innovation. A central focus of AI in online marketing is its ability to deliver highly personalized experiences to consumers, driven by the analysis of users’ behaviour, preferences and historical data. This personalized approach improves user engagement and drives conversion rates. AI also empowers marketers with real-time data processing and analysis, offering valuable insights into consumer behaviour, market trends, and campaign performance. Of course, besides its transformative potential, the integration of AI in online marketing presents significant ethical considerations. Issues such as data privacy, algorithmic tendency, and transparency necessitate careful consideration to ensure responsible and ethical AI usage in marketing practices. Going through a comprehensive exploration of AI’s impact and ethical implications in online marketing, this paper aims to provide valuable insights into the evolving landscape of digital marketing and the ethical considerations essential for navigating this dynamic zone.

In the digital age, charitable organizations increasingly rely on websites as crucial platforms for fundraising, outreach, and communication. Integrating human traits to digital interfaces as a mean to improve the user’s attitude and experience is a well-researched topic with various case studies. This study investigates the impact of images featuring genuine human faces and perceived social scenarios on user engagement metrics within the context of charitable websites, focusing on trust perception, social media sharing behavior, and donation willingness. A controlled A/B/C test was conducted, presenting participants with three versions of a charitable website: one displaying a stack of books (Version A), another showcasing a stock image of children in school (Version B), and the third featuring a genuine photo of Romanian children engaged in learning activities (Version C). Data was collected from 150 respondents (50 for each version), and quantitative analysis was performed to evaluate the effectiveness of each background image in influencing user behavior. Results shown that authentic photographs evoke more trust and willingness to donate to a cause among Romanian respondents. The conclusions of this paper can be used to further improve the results of online crowdfunding efforts of charitable organizations.

The purpose of this article was to investigate the power of an effective user interface on the effectiveness of fitness websites in converting visitors into members. Existing scientific literature tell us that elements such as visual appeal, clear navigation, persuasive call-to-action elements, transparent content, and responsive design are very important for building trust and influencing consumer behaviour. However, research focusing specifically on the fitness industry remains limited, and this study aims to address that gap. A mixed-methods research design was used. In the first phase, a heuristic evaluation was conducted using a comprehensive checklist that examined visual design and branding, navigation and information architecture, the effectiveness of call-to-action elements, content clarity and transparency, mobile responsiveness and performance, as well as trust and credibility indicators. In the second phase, a quantitative survey was administered to fifty potential customers who rated each website on a scale from one to five across these dimensions. The survey results were analyzed and compared against the heuristic evaluation findings to provide a robust overview of the websites’ performance. The main findings show that the website with the most refined design, intuitive navigation, and strong trust signals achieved the highest ratings, whereas the website with a more cluttered layout and less persuasive call-to-action elements received lower scores. The study contributes to the field by offering some guidelines for improving website design and by validating theoretical models that link digital design with consumer behavior in the fitness industry.

This article investigates how AI can improve the user experience of various e-commerce platforms through personalization and automation, with a focus on consumer perception, trust, data privacy concerns but also the final purchase intention. Although a new topic to be researched, the current literature mentions the clear potential of artificial intelligence in improving customer engagement and satisfaction, although ethical considerations around data handling and bias remain ongoing challenges. Studies show that well-implemented, AI-based recommendation systems and chatbots can make the shopping journey simpler and more enjoyable, yet the acceptance of these technologies varies across different consumer segments. Drawing on these insights, the present research employed a structured, closed-ended survey administered to 150 online shoppers from Romania. The methodology aimed to address three core questions: (1) Does AI-driven personalization positively impact user satisfaction and purchase intention? (2) Are chatbots perceived as effective tools for resolving routine inquiries? (3) Do privacy and data security concerns reduce consumer trust in AI-enhanced e-commerce platforms? Analysis of the collected data indicates that, while most respondents find AI features convenient and helpful, a considerable proportion remains skeptical due to fears of privacy infringement. As a consequence, user trust remains a critical factor in AI acceptance. By analyzing our findings and comparing them with established theoretical frameworks, our paper contributes to the existing body of knowledge on AI applications in e-commerce and marketing. It shows that balancing technological innovation with transparent and ethical data practices is necesary for maximizing AI’s benefits while keeping the consumer trust in online commerce.