Relevant bibliographies by topics / AI Marketing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'AI Marketing'

Author: Grafiati
Published: 6 July 2021
Last updated: 25 July 2025

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Journal articles on the topic "AI Marketing"

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Shubham, Dighikar. "How Artificial Intelligence Influences the Marketing." Recent Trends in Data Mining and Business Forecasting 1, no. 1 (2020): 1–5. https://doi.org/10.5281/zenodo.3779624.

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Artificial Intelligence is the new revolution in the business and in past few years it is indulged in various fields like science, business, medicine, automation and education, AI is also reached in the marketing business. Most of the big companies are using AI for their advertisement in digital platforms. AI has been changing the way of marketing and sales with consumer perception and its behaviour. The author of the paper is suggested the research about an AI, what it is and how deeply it is applied in marketing and what marketing practitioners can do with AI implication. The author of the p
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Chen, Yiran. "Exploring Innovative Pathways in Digital Marketing Models in the Era of Artificial Intelligence." Journal of Education, Humanities and Social Sciences 51 (May 8, 2025): 31–35. https://doi.org/10.54097/z5cf0740.

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Digital marketing's dependency on technology has grown exponentially, with AI leading the charge in innovation and shaping new paradigms. As AI becomes more integrated into marketing strategies, it has fundamentally changed the dynamics of business-to-consumer relationships. The emergence of digital marketing has dramatically altered the landscape of business-to-consumer interactions, with artificial intelligence (AI) emerging as a key catalyst in this transformation. This research delves into the innovative applications of AI within digital marketing, examining the latest trends and their imp
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Ghosh, Jayesh. "AI based Marketing Platform." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (2021): 292–96. http://dx.doi.org/10.22214/ijraset.2021.34124.

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Muhammad Edrick Abhiseka, Riyandi, Yongki Alex, Riza Ardy Saputra, and Adi Setiawan. "AI for Digital Marketing." Apollo: Journal of Tourism and Business 2, no. 2 (2024): 197–209. http://dx.doi.org/10.58905/apollo.v2i2.298.

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The rapid development of artificial intelligence (AI) technology has revolutionized the digital marketing landscape, enabling marketers to improve efficiency, personalization and strategic decision making. This research aims to map research trends related to the application of AI in digital marketing through bibliographic analysis. Qualitative research methods with a historical approach are used to collect and analyze scientific articles from leading international journals. Bibliometric analysis was performed with VOSviewer software to visualize patterns and clusters of key terms. Results show
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Ramnani, Shweta. "Revolutionising Conventional Marketing with AI: Leveraging Machine Learning for Marketing." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28481.

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Amidst an age characterized by rapid technological progress, this research paper investigates the revolutionary capacity of artificial intelligence (AI) and machine learning (ML) to alter traditional marketing methodologies fundamentally. In order to address the drawbacks of conventional marketing methods, this article develops a theoretical framework that emphasizes the critical importance of machine learning algorithms, such as supervised, unsupervised, and reinforcement learning, and AI customer relationship management (ACRM). The research explores pragmatic approaches, including meta-analy
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MR, Anoop. "ARTIFICIAL INTELLIGENCE AND MARKETING." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 4 (2021): 1247–56. http://dx.doi.org/10.17762/turcomat.v12i4.1184.

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Artificial intelligence (AI) has grown in recent years in many fields: research, industry, pharmaceuticals, automobile and education. In marketing, AI has also been effective. The aim of this article is to explore the usage and effect of AI in marketing. The authors posed two study concerns - which fields are applied to AI marketing and how AI impacts marketers. The authors carried out secondary data investigations with samples of AI used for marketing purposes in order to address these queries. The review of the illustration given demonstrates, while the implementations are manual, that AI is
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Paulmurugan, M. Paulmurugan. "REFORMING MARKETING PRODUCTIVITY IN LEVERAGING AI TO MODERNIZE MARKETING ENVIRONMENTS." International Journal of Education, Modern Management, Applied Science & Social Science 07, no. 01(II) (2025): 49–56. https://doi.org/10.62823/ijemmasss/7.1(ii).7261.

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The recently developed Digital Marketing field incorporates the latest artificial intelligence advancements with traditional approaches on productivity, efficiency, and engagement. With AI powered marketing, companies are now able to automate mundane tasks, strengthen interactions with clients, and derive insights from the vast amounts of data for better decisions. In this work, I discuss the importance of AI in automating marketing environments, especially in relation to machine learning, predictive analytics, and natural language comprehension that power marketing campaign optimization. The
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Zaman, Khansa. "Transformation of Marketing Decisions through Artificial Intelligence and Digital Marketing." Journal of Marketing Strategies 4, no. 2 (2022): 353–64. http://dx.doi.org/10.52633/jms.v4i2.210.

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Artificial Intelligence (AI) is ornamental to the strategic decisions of consumers and its competitive nature and has rapidly transformed the dynamics of the emerging digital world. The evolution of predictive marketing has increased the understating of consumer decision-making. Moreover, AI has enabled many businesses to predict big consumer data to fulfill customer expectations and provide customized products and services. AI’s role has been increased in operational marketing, such as design and selection of ads, customer targeting and customer analysis. Nevertheless, the role in strategic d
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Huang, Ming-Hui, and Roland T. Rust. "A strategic framework for artificial intelligence in marketing." Journal of the Academy of Marketing Science 49, no. 1 (2020): 30–50. http://dx.doi.org/10.1007/s11747-020-00749-9.

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AbstractThe authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for processing data to arrive at decisions, and feeling AI for analyzing interactions and human emotions. This framework lays out the ways that AI can be used for marketing research, strategy (segmentation, targeting, and positioning, STP), and actions. At the marketing research stage, mechanical AI can be used for data collection, thinking AI for market analysi
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Mursalin, Adi, Yuli Purbaningsih, Surya Fadjar Boediman, Meli Siagawati, and Rainier Hendrik Sitaniapessy. "UNDERSTANDING AI-DRIVEN INFLUENCER MARKETING." INTERNATIONAL JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (INJOSS) 2, no. 3 (2023): 443–55. http://dx.doi.org/10.54443/injoss.v2i3.90.

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AI-driven influencer marketing has emerged as a transformative approach in the digital advertising landscape. This research aimed to explore the efficiency and effectiveness of AI integration in influencer marketing campaigns, comparing it to traditional methods. By employing a mixed-methods approach, including qualitative interviews and quantitative data analysis, the study investigated the impact of AI on influencer selection, campaign performance, and ethical considerations. The findings revealed that AI-driven influencer selection processes significantly outperformed manual methods' accura
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Dissertations / Theses on the topic "AI Marketing"

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Quarantotto, Vittori Giovanni <1996&gt. "Review of AI-based marketing approaches." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/18778.

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Artificial intelligence is the shiny new frontier in marketing. The increasing computational capabilities of computers and algorithms, and the increasing availability of huge volumes of data, may pave the way to new and unexplored venues in the whole marketing sector. Every single piece of the customer journey is going to change, and the process has already started. With big data at the center of my analysis, there are several aspects that I wish to investigate: - What is the current state of the art, regarding AI application in the marketing sector, and what the future may look like a couple
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Savola, Tommi, Tyko Tuohimaa, and Sebastian Berg. "AI-Enhanced Marketing Management – Factors Influencing Adoption in SMEs." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-39908.

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Recent developments and hype around artificial intelligence (AI) have arisen as result of two main factors: increase in computational power and data. Although marketing is considered as one of the main business applications within AI today, there is a lack of literature combining the disciplines. Marketing management tools, which utilise AI in supporting decision making are referred to as knowledge-driven marketing management support systems (MMSS). These systems provide besides quantitative analysis, further qualitative facets into marketing management. Despite the willingness of many SMEs to
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Iqbal, Tahir, and Md Nazmul Khan. "The Impact of Artificial Intelligence (AI) on CRM and Role of Marketing Managers." Thesis, Högskolan i Gävle, Avdelningen för ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-35225.

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Background- Emergence of artificial intelligence (AI) has transformed the dynamics of the business world. AI tools are changing the way marketers used to do business and these changes are so profound that it has become difficult for marketing managers to overlook the importance of investing in and adopting AI as an integral part of the marketing function. Companies which have implemented AI in their Customer Relationship Management (CRM) and marketing as a whole,have reported significant impacts on company’s growth in terms of customer loyalty and profitability. In recent years, we also witnes
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Mugrauer, Alex, and Johannes Pers. "Marketing managers in the age of AI : A multiple-case study of B2C firms." Thesis, Umeå universitet, Företagsekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-161285.

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The growing capacity of artificial intelligence (AI) has been compared to how electricity transformed our world and industries a hundred years ago. AI is changing the rules, roles and tools of marketing, as marketing is one of the most prosperous areas to implement AI in. Accordingly, the role of marketing manager is expected to transform to a large extent. This calls for further research, since the area appears underexplored in relation to its weight of importance. Thus, the main purpose of this thesis is to contribute to the literature in marketing and management by exploring the ongoing tra
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Fioravanti, Silvia <1996&gt. "Le OTA ed il marketing interculturale: presentare le strutture ricettive ai turisti dell’Asia Orientale." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19840.

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Nel presente elaborato andremo ad analizzare in che modo si differenzi la presentazione delle strutture ricettive sulle principali Online Travel Agencies a seconda della cultura di appartenenza del turista a cui è rivolto l’annuncio. In particolare, ci concentreremo su due delle culture più rilevanti dell’Asia Orientale: la cultura cinese e quella giapponese. Iniziando con la profilazione del turista asiatico in modo da comprendere al meglio come la cultura ne influenzi le preferenze ed il comportamento d’acquisto, proseguiremo analizzando le principali OTA sia a livello italiano che orientale
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Lindström, Sofia, Sebastian Edemalm, and Erik Reinholdsson. "Marketers are Watching You : An exploration of AI in relation to marketing, existential threats, and opportunities." Thesis, Jönköping University, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52744.

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Background: As of today, it is apparent that with the ever-changing demands and needs of customers, companies are facing enormous pressure to deliver the right value, on time, in the right way, and proper manner. To realize the full potential of Artificial Intelligence (AI), a careful plan and method need to be established in the development and deployment when incorporating the technology with marketing. Technology is evolving at a rapid pace and Artificial Intelligence (AI) can be found in a variety of applications. AI in marketing can provide valuable data clusterization and insights for pe
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Klee, Christopher. "AI in Marketing – Curse or Blessing? : Impacts of Programmatic Advertising and Personalized Content on Society." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299572.

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With the help of Programmatic Advertising and the resulting personalized content, consumers can be targeted precisely and with the help of Artificial Intelligence. The associated use of customer data creates ethical conflicts. Therefore, the research question is asked: How does Programmatic Advertising influence consumer's data security and diversity of opinion and what effect does this have on the further development of the technology? For the purpose of elaborating the research problem a literature analysis and expert interviews are carried out. The analysis shows that Programmatic Advertisi
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Solenne, Andrea. "Machine Learning nell'era del Digital Marketing." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20476/.

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Il Machine Learning è una branca dell’intelligenza artificiale avente lo scopo di migliorare autonomamente l’identificazione di pattern nei dati. L'obiettivo di questo elaborato è capire se gli strumenti che mette a disposizine il machine learning possano fare la differenza nella creazione di strategie di digital marketing. Per rispondere a questa domanda sono stati presi in considerazione come casi studio, aziende che hanno utilizzato o utilizzano algoritmi di machine learning per il raggiungimento o miglioramento delle proprie strategie di marketing. Sulla base dei casi analizzati, si è dedo
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Timothy, Edward Bant Breen. "I think therefore I am…? An exploration of artificial intelligence (AI) marketing practitioner perceptions and practices." Doctoral thesis, Universitat Ramon Llull, 2020. http://hdl.handle.net/10803/668994.

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Aquesta tesi explora les percepcions de la IA per part de la indústria de la publicitat i el màrqueting i les contrasta amb l’estat actual de desenvolupament de la IA. La indústria de la publicitat és un punt focal interessant per discussions amb relació a la IA, ja que és una indústria emblemàtica i creativa, sovint vista com una àrea en què les màquines únicament poden copiar o donar suport però no pas idear i crear. La intel·ligència artificial (IA) és una intel·ligència exposada per màquines. En la ciència de la computació, una màquina “intel·ligent” ideal és un agent flexible i racion
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MARINELLI, LUCA, and Luca Marinelli. "Nuovi modelli di ricerche di marketing: le potenzialità della social network analysis applicata ai social media." Doctoral thesis, Università Politecnica delle Marche, 2015. http://hdl.handle.net/11566/242915.

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In questo lavoro si affronta il tema del rapporto tra le ricerche di marketing e le opportunità fornite dalla Rete. In particolare, ci si focalizza sui recenti sviluppi derivanti dalla nascita di strumenti digitali come i social media e la possibilità di accedere ad un continuo flusso di dati, mediante l’impiego di piattaforme per l’analisi dei Big Data. Le tecnologie alla base dei Big Data hanno difatti impattato fortemente nelle performance di ricerca dando vita a nuove tecniche, potenziandone altre o riportando in auge metodologie che negli anni avevano perso appeal. A tal proposito, in
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Books on the topic "AI Marketing"

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Walters, Hannah D., and Rachel M. Hammond. AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806.

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Zaidi, Neha, Mohit Maurya, Simon Grima, and Pallavi Tyagi. Building AI Driven Marketing Capabilities. Apress, 2024. http://dx.doi.org/10.1007/978-1-4842-9810-7.

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Gentsch, Peter. AI in Marketing, Sales and Service. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-89957-2.

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Jeseo, Vincent, and Jasmine Parajuli, eds. Marketing and AI: Shaping the Future Together. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76193-5.

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K, Hemachandran, Debdutta Choudhury, Raul Villamarin Rodriguez, Jorge A. Wise, and Revathi T. Predictive Analytics and Generative AI for Data-Driven Marketing Strategies. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003472544.

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Venkatesan, Raj, and Jim Lecinski. The AI Marketing Canvas. Stanford University Press, 2021. http://dx.doi.org/10.1515/9781503628045.

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Upadhyay, Malay. Generative AI for Marketing. Business Expert Press, 2024.

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Upadhyay, Malay. Generative AI for Marketing. Business Expert Press, 2024.

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Venciute, Dominyka. AI Innovation in Services Marketing. IGI Global, 2024.

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Venciute, Dominyka. AI Innovation in Services Marketing. IGI Global, 2024.

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Book chapters on the topic "AI Marketing"

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Toe Teoh, Teik, and Yu Jin Goh. "AI in Marketing." In Artificial Intelligence in Business Management. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4558-0_11.

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Lefkeli, Deniz, and Zeynep Gürhan-Canli. "AI-Driven Branding." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-7.

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Martin, Mary C., and Michael J. Martin. "Implementing AI in Marketing Education." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-16.

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Asatryan, Vahagn S., and Matthew Schonewille. "Consumer Behavior and AI." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-12.

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Taran, Zinaida (Zina), and Lisa Cooley. "Navigating International Marketing with Artificial Intelligence." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-8.

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Reavey, Brooke M. "AI in Consumer Insights." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-13.

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Jarek, Krystyna. "New Product Development Enriched with AI." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-10.

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Knight, Hanne. "Exploring the Ethical Implications of Artificial Intelligence in Marketing." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-15.

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Wallace, Adrienne A., and Derek T. DeVries. "Artificial Intelligence as a Crucial Catalyst in Revolutionizing E-commerce Marketing." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-6.

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Ercan, Handan Derya. "Synergizing AI and Integrated Marketing Communications." In AI in Marketing. Routledge, 2025. https://doi.org/10.4324/9781003468806-5.

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Conference papers on the topic "AI Marketing"

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Hemalatha, Raavi, Godi Amulya, and C. H. S. N. Sai Lalitha. "AI-Driven Customer Segmentation for Personalized Marketing." In 2024 Second International Conference Computational and Characterization Techniques in Engineering & Sciences (IC3TES). IEEE, 2024. https://doi.org/10.1109/ic3tes62412.2024.10877505.

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Dahhiya, Ruby, Virender Kumar Dahiya, Nidhi Agarwal, Vinoth Kumar Kolluru, Yagnesh Challagundla, and Advaitha Naidu Chintakunta. "Predictive Analytics in AI Marketing: Transforming Consumer Engagement." In 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN). IEEE, 2025. https://doi.org/10.1109/cictn64563.2025.10932411.

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Gujar, Praveen, Gunjan Paliwal, and Sriram Panyam. "Revolutionizing In-House Digital Marketing with End-to-End Marketing Automation Powered by AI and SaaS." In 2024 IEEE Colombian Conference on Communications and Computing (COLCOM). IEEE, 2024. http://dx.doi.org/10.1109/colcom62950.2024.10720305.

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Rajput, Aditi, Megha Jaiwani, Saumya Singh, Aradhana Gandhi, and Santosh Gopalkrishnan. "Influencer Marketing Redefined: The Era of AI-Powered Personalization." In 2024 International Seminar on Application for Technology of Information and Communication (iSemantic). IEEE, 2024. https://doi.org/10.1109/isemantic63362.2024.10762409.

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Kopare, Anand, Ajim Shaikh, Jitender Kumar Sharma, and Ganesh Waghmare. "AI-Enabled Customer Insights: Transforming Marketing and Customer Relationship Management." In 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS). IEEE, 2024. http://dx.doi.org/10.1109/ickecs61492.2024.10616723.

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K, Rajchandar, Somanchi Hari Krishna, Showkat Khalil Wani, Supriya Pathak, Amit Kumar Jain, and C. M. Naveen Kumar. "Chatbots and Customer Service: Enhancing Marketing Management with AI Technologies." In 2025 International Conference on Pervasive Computational Technologies (ICPCT). IEEE, 2025. https://doi.org/10.1109/icpct64145.2025.10941417.

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Kediya, Shailesh O., Amishi Arora, Anup Suchak, Shripad Joshi, Yogita Sure, and Chetan Puri. "Examining Ethical Applications of AI in Advertising and Marketing Industries*." In 2024 International Conference on Cybernation and Computation (CYBERCOM). IEEE, 2024. https://doi.org/10.1109/cybercom63683.2024.10803184.

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Choudhuri, Sajjan, Sivapavani Veeranalla, Prathima Gamini, Chiranjeevi Manike, U. Priya, and Siva Koteswararao Katta. "AI-Powered HR Marketing Revolutionizing Employee Recruitment and Retention Strategies." In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC). IEEE, 2024. https://doi.org/10.1109/icec59683.2024.10837529.

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Bisaria, Charu, K. R. Praneeth, Divya Nimma, T. Naresh Babu, Manidipa Roy, and M. Karthik. "Enhanced AI Model for Multimodal Influencer Marketing Analysis and Classification." In 2025 Fifth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT). IEEE, 2025. https://doi.org/10.1109/icaect63952.2025.10958875.

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Candrea, Adina Nicoleta, Ioana Simona Ivasciuc, and Ana Ispas. "ChatGPT TECHNOLOGY AS A STRATEGIC TOOL IN ECOTOURISM DESTINATION MARKETING: A ROMANIAN CASE STUDY." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/91.

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In the era of digital communication, the utilization of technology in tourism marketing strategies has gained paramount importance. As digital technologies continue to evolve, their impact on marketing strategies across various sectors has become increasingly significant. The practical potential of AI-generated content may be considered by destination marketing practitioners to create personalized, effective campaigns that resonate with diverse audiences, enhancing their connection with travelers. Therefore, this paper specifically examines how advanced artificial intelligence, such as OpenAI�
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Reports on the topic "AI Marketing"

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Pasupuleti, Murali Krishna. AI-Driven Marketing Innovations: Personalization and Ethics in the Digital Era. National Education Services, 2025. https://doi.org/10.62311/nesx/rr625.

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Abstract: This article explores the transformative impact of artificial intelligence (AI) on digital marketing, focusing on strategies for delivering personalized content and ensuring ethical advertising. By leveraging AI, marketers can now analyze consumer behavior with precision, enabling targeted content, automated ad placement, and real-time adjustments that enhance user engagement and conversions. The Article examines foundational AI techniques, such as recommendation engines, predictive analytics, and natural language processing, which drive personalization at scale. Additionally, it add
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Noble, Charles, Dipayan Biswas, and Rebecca Reczek. Publishing on Emerging Topics: Strategies for Success (Free Seminar). Instats Inc., 2025. https://doi.org/10.61700/a40ai2li5tl2f1696.

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This webinar aims to discuss strategies researchers can use to succeed in publishing on emerging and hot topics (e.g., intersection of marketing and AI). The webinar will touch on developing innovative research ideas, selecting appropriate journals, managing collaborations, and navigating the peer review process.
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Ambiel, Suzanne. The Case for Confidential Computing: Delivering Business Value Through Protected, Confidential Data Processing. The Linux Foundation, 2024. https://doi.org/10.70828/iynl6589.

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As the collection, storage, and analysis of data becomes increasingly important across industries, businesses are looking for solutions that keep data secure and processes compliant with regulations. Confidential computing is one of these solutions, involving the use of a trusted execution environment that runs on shared infrastructure but processes data away from unauthorized users. This use case report interviewed members of the confidential computing community on the ways they have implemented the technology and what they believe its future holds. The report looks at the use of confidential
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