Moez Ltifi holds a doctorate in business administration, a research master’s degree in marketing, a professional master’s degree in negotiation and sales, a master’s degree in marketing and a bachelor’s degree in marketing. He is currently Associate Professor (HDR) in Marketing at Shaqra University in Saudi Arabia and at Sfax University in Tunisia. He has relevant academic and research experience in the field of digital marketing.His research interests include consumer behavior, online shopping, attitude, satisfaction, trust, e- loyalty, acceptance of new technologies, retailing, banking marketing, mobile marketing, tourism marketing, governance, performance, branding, digital marketing, chatbot, blockchain technology and artificial intelligence.Dr Ltifi is the author and co-author of several indexed, classified and impacted books and scientific articles. He has contributed to several conference proceedings. He is a reviewer for various international academic journals.His most recent articles have been published in international peer-reviewed journals such as International Journal of Bank Marketing, Management Decision, Management and Prospective, Journal of Global Marketing, International Journal of Law and Management, Corporate Governance: The International Journal of Business in Society, Journal of Knowledge Management, Journal of Air Transport Management and Future Business Journal.

• 1. AI and Advertising: Unraveling the Dynamics of Consumer Behavior and Brand Engagement. 2. Enhancing Customer Experience through AI-Enabled Content Personalization in E-Commerce Marketing. 3. Redefining Marketing Strategies for Higher Education through AI Applications: A Critical Review. 4. Enhancing Customer Targeting in E-Commerce and Digital Marketing through AI-Driven Personalization Strategies. 5. Current Advances on the Application of Blockchain Solutions in Digital Marketing: Opportunities and Threats. 6. Analysis and Result Prediction for Indian Premier League Using Machine Learning Algorithms. 7. Study of Factors Affecting Intention to Use Artificial Intelligence by Marketers: A ChatGPT Case. 8. The Effectiveness of Using Artificial Intelligence Techniques in Advertising on Social Media. 9. The Impact of Blockchain on Digital Commerce. 10. Chatbots – A Computerized Communication Specialized Device. 11. Artificial Intelligence and More Effective Advertising: Unlocking the Power of Data and Automation. 12. Chatbot and Digital Communication. 13. Are You Real? When Anthropomorphism Misleads the Consumer. 14. Natural Language Processing to Track Cognitive, Emotional and Social Change on Reddit Mental Health and Non-Mental Health Groups during Covid-19. 15. Do Consumers Favour a Social Presence When Using Voice Chatbots? 16. The Moderating Role of Perceived Interaction in a Chatbot’s Impact on Conversational Commerce: From Intention to Usage to Actual Usage. 17. Role of Technology for Pharmaceutical Marketing in the Era of Artificial Intelligence: A Bibliometric Study. 18. Market Segmentation: Machine Learning in Marketing with Clustering Model.

Moez Ltifi holds a doctorate in business administration, a research master’s degree in marketing, a professional master’s degree in negotiation and sales, a master’s degree in marketing and a bachelor’s degree in marketing. He is currently Associate Professor (HDR) in Marketing at Shaqra University in Saudi Arabia and at Sfax University in Tunisia. He has relevant academic and research experience in the field of digital marketing.His research interests include consumer behavior, online shopping, attitude, satisfaction, trust, e- loyalty, acceptance of new technologies, retailing, banking marketing, mobile marketing, tourism marketing, governance, performance, branding, digital marketing, chatbot, blockchain technology and artificial intelligence.Dr Ltifi is the author and co-author of several indexed, classified and impacted books and scientific articles. He has contributed to several conference proceedings. He is a reviewer for various international academic journals.His most recent articles have been published in international peer-reviewed journals such as International Journal of Bank Marketing, Management Decision, Management and Prospective, Journal of Global Marketing, International Journal of Law and Management, Corporate Governance: The International Journal of Business in Society, Journal of Knowledge Management, Journal of Air Transport Management and Future Business Journal.

• 1. AI and Advertising: Unraveling the Dynamics of Consumer Behavior and Brand Engagement. 2. Enhancing Customer Experience through AI-Enabled Content Personalization in E-Commerce Marketing. 3. Redefining Marketing Strategies for Higher Education through AI Applications: A Critical Review. 4. Enhancing Customer Targeting in E-Commerce and Digital Marketing through AI-Driven Personalization Strategies. 5. Current Advances on the Application of Blockchain Solutions in Digital Marketing: Opportunities and Threats. 6. Analysis and Result Prediction for Indian Premier League Using Machine Learning Algorithms. 7. Study of Factors Affecting Intention to Use Artificial Intelligence by Marketers: A ChatGPT Case. 8. The Effectiveness of Using Artificial Intelligence Techniques in Advertising on Social Media. 9. The Impact of Blockchain on Digital Commerce. 10. Chatbots – A Computerized Communication Specialized Device. 11. Artificial Intelligence and More Effective Advertising: Unlocking the Power of Data and Automation. 12. Chatbot and Digital Communication. 13. Are You Real? When Anthropomorphism Misleads the Consumer. 14. Natural Language Processing to Track Cognitive, Emotional and Social Change on Reddit Mental Health and Non-Mental Health Groups during Covid-19. 15. Do Consumers Favour a Social Presence When Using Voice Chatbots? 16. The Moderating Role of Perceived Interaction in a Chatbot’s Impact on Conversational Commerce: From Intention to Usage to Actual Usage. 17. Role of Technology for Pharmaceutical Marketing in the Era of Artificial Intelligence: A Bibliometric Study. 18. Market Segmentation: Machine Learning in Marketing with Clustering Model.