This research paper aims to examine the impact of social media advertisement attributes, including informativeness, trust, and irritation, and internet users’ motivational factors; namely investigation, customization, opportunity seeking, interaction, and entertainment on individuals' attitude towards advertisements over social media sites in Jordan. A conceptual research model was proposed based on the relevant literature to be empirically tested. Data was collected using an online questionnaire survey administered to 256 participants. Hypotheses were tested using single and multiple linear regression analyses. Results show that advertisement design factors along with internet users’ motives were all significant factors affecting the attitude towards advertisements on social media sites with entertainment, interaction and informativeness had the highest impact. Based on the research findings, recommendations were reported for academicians and practitioners. Limitations and promising areas for further research were discussed.

This study investigates the mechanism by which customers’ affective and cognitive states drive their behavioural intentions towards upscale restaurants. With stimulus-organism-response (SOR) theory as a backbone, two competing mediation scenarios; one-step versus two-step mediation are examined. A dataset of 425 conveniently selected valid responses was used to test the models. Structural equation modelling shows that customer behavioural intentions were better explained by a cognitive-affective mediated model than by one-step mediated model. The results of hypotheses testing reveal the significance of restaurant design in enrichening customers’ cognitive experience, thus, eliciting their affective states, which ultimately affect their behavioural intentions. This paper shows the applicability of the cognitive theory of emotions in explaining restaurant design-customer behavioural intentions relationship. The results also provide insights for restaurant operators on how the design characteristics of their restaurants can be best utilised to encourage positive customer responses. Discussion, conclusion and future work are also provided.

This paper addresses the conceptual exploration of various issues that form an integral part of the ethical dimensions surrounding the use of artificial intelligence (AI) in the field of marketing. We critically review some of the main ethical challenges AI poses to humanity: privacy, data security, bias, transparency, and accountability. Therefore, we will discuss the delicate balance between exploiting the transformation potential of AI for personally designed marketing strategies and ethical imperatives to safeguard the rights of consumers to retain trust. Then, the present regulatory landscape responding to these ethical challenges will be assessed by building on effective regulation, like the GDPR, existing proposed legislative frameworks, and industry guidelines. To underscore the role of an ongoing dialogue between marketers, technologists, ethicists, and regulators for developing a responsible AI ecosystem in marketing. Further, strategic recommendations for implementing company-based ethical AI marketing practices. The further strong guidelines provide enhancement transparency to consumers and investment in research to remove biases from algorithms. It also underscores principal scopes of further research and development, focusing on the need for new-age solutions to guide the ethical quagmires that AI-led marketing throws up. We suggest that integration should be done proactively and collaboratively. Thus, if attention is paid more to ethics and multidisciplinary dialogue, only such hyperbolic promises can be realized by AI-driven marketing. There are promises through which AI-driven marketing will meet business goals and be huge at societies' values.