Manufacturers employ AI for monitoring vehicle mileage, inspecting components, and scheduling maintenance. Past studies underscore the need for auto-related plans to prioritize environmental protection, concentrating on AI-driven environmental solutions promoted by AI for Good. AI enhances brand success by improving investment, technology, and promotional capabilities. This study emphasizes consistency in AI application across the automotive value chain for brand sustainability. A web-based poll surveyed 120 AI users in marketing, HR, sustainability, as well as 180 sustainability specialists and regulators. The primary goal is to assess, via structural model evaluation, how extraneous variables affect the development of AI-powered brand sustainability strategies. The study highlights AI's sustainability benefits in the automotive industry improving transportation safety, forecasting maintenance, and creating eco-friendly vehicles. However, challenges involve over-reliance on AI, predicting human behavior, and addressing sustainability threats. AI development should consider regional differences, prioritizing openness, policy harmony, and consumer agency. These findings aid marketing and HR professionals in devising customer-centric long-term plans.

This study investigated the effect of logistics and policy service quality on customer trust, satisfaction, and loyalty within the quick commerce landscape in Jordan, with a particular focus on generational differences between generation Y (Gen Y) and generation Z (Gen Z) users. A survey of 719 active Q-commerce users revealed that logistics service quality (personal contact quality, shipment condition, product availability, timely product delivery, and order accuracy) significantly affected customer satisfaction, with order accuracy being the most impactful factor. Additionally, both cash on delivery and order discrepancy handling significantly affected customer trust. Finally, customer satisfaction and trust affected customer loyalty, though in multigroup analysis, their relative importance varies between generations. Gen Z prioritizes speed of delivery and less concern on personal contact with delivery personnel. On the other hand, Gen Y values product availability and cash on delivery more than the younger generation. These findings offer valuable insights for Q-commerce platforms to tailor their strategies to the distinct priorities of each generation and enhance customer trust, satisfaction, and loyalty.

The rapid growth of social media platforms has revolutionized marketing communications, and the recent trend of how people use social media led to the inception of the term "influencer marketing" as an increasingly popular approach for brands across markets. This development has been driven by the unparalleled increase in influencers’ presence on social media platforms, which has generated new venues for companies to connect with their desired demographic and interact with them in a more genuine and significant manner. Understanding the factors that drive the effectiveness of influencers has become increasingly important for both marketers and researchers. Numerous studies have been conducted on the topic of celebrity endorsements. However, the use of "traditional" celebrities is losing its appeal in the digital era of social media, as brands increasingly turn to social media influencers instead. Nonetheless, there is still a lack of understanding about how marketers can effectively utilize this new marketing phenomenon. This study aims to examine the role of trustworthiness, expertise, and information quality of social media influencers in shaping consumer purchase intention, with a specific focus on the mediating role of brand attitude. A total of 309 complete responses were collected via convenience sampling between January and February 2023 then the model examined by using SPSS and AMOS software. The results showed that all attributes of the influencers are affecting brand attitude as well as purchase intention, while brand attitude partially mediated the relationships. Implications, limitations and future research have also been discussed.

This study aims to examine the influence of brand image as a mediator between social media marketing activity and tourist intentions to visit tourist sites in Jordan. To test the hypotheses, we utilized the partial least square method and distributed a questionnaire survey to 400 visitors, receiving 289 responses for analysis using SMART-PLS4 software. The study made significant contributions to the literature on social media marketing by developing a research model that links social media usage to brand image and shopping intention, and by using statistical techniques to quantitatively assess the effect of social media marketing activity on the brand image as a mediator. The findings exposed that word of mouth, a construct of social media, significantly positively influenced tourists' purchase intention to visit sites in Jordan. This study sheds light on the importance of social media marketing and its impact on the tourism industry in Jordan, providing useful insights for practitioners and policymakers in the field.

Social commerce is a first-generation platform that uses a variety of social attributes to attract the attention of internet users. The impact of platform interactivity components; Content Usefulness, Engaging, Real-time communication, and E-wom on customers' purchase intentions was investigated in this study. A Quantitative research method was applied in this study using an online self-administrative questionnaire that was published using Google Docs to collect data, and 521 consumers participated in an online survey. The research used SPSS and AMOS to validate and test the hypotheses. All platform interactivity components were significantly affecting purchase intention. This study provides insights to marketing managers of how consumers perceive social commerce and what affecting them along with practical and theoretical implications.