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Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda

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Cited by:

  1. Maral Mahdad & Saeed Roshani, 2025. "The open innovation kaleidoscope: navigating pathways and overcoming failures," Review of Managerial Science, Springer, vol. 19(6), pages 1637-1668, June.
  2. Roy, Sanjit K. & Tehrani, Ali N. & Pandit, Ameet & Apostolidis, Chrysostomos & Ray, Subhasis, 2025. "AI-capable relationship marketing: Shaping the future of customer relationships," Journal of Business Research, Elsevier, vol. 192(C).
  3. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
  4. Gotherwal, Deepesh & Ranjan, Pritam & Lekivetz, Ryan, 2026. "Comprehensive Review of Various Verification and Validation Techniques for Business Simulation Models," EconStor Preprints 339750, ZBW - Leibniz Information Centre for Economics.
  5. Truong Thi Hue & Ta Huy Hung, 2025. "Impact of artificial intelligence on branding: a bibliometric review and future research directions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-11, December.
  6. Soheila Khajoui & Saeid Dehyadegari & Sayyed Abdolmajid Jalaee, 2024. "Forecasting Imports in OECD Member Countries and Iran by Using Neural Network Algorithms of LSTM," Papers 2402.01648, arXiv.org.
  7. Kevin Riehl, 2025. "On the scientometric value of full-text, beyond abstracts and titles: evidence from the business and economic literature," Management Review Quarterly, Springer, vol. 75(3), pages 2459-2513, September.
  8. Ajith Venugopal & Sreehas Gopinathan & Marwan Al-Shammari & Tushar R. Shah, 2025. "A topic modeling and scientometric analysis of microfoundations of strategy research," Management Review Quarterly, Springer, vol. 75(1), pages 219-247, February.
  9. Erik Hermann, 2022. "Leveraging Artificial Intelligence in Marketing for Social Good—An Ethical Perspective," Journal of Business Ethics, Springer, vol. 179(1), pages 43-61, August.
  10. Li, Yaqiu & Meg Lee, Hsin Hsuan & Blasco-Arcas, Lorena, 2025. "Computer vision in branding: A conceptual framework and future research agenda," Journal of Business Research, Elsevier, vol. 193(C).
  11. Jana Gross & Kathleen Desveaud, 2025. "Navigating computational linguistic in marketing practices: The barriers of natural language processing in social media marketing and a path to future research," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(4), pages 1068-1078, December.
  12. Gaston-Breton, Charlotte & De Stefano, M. Cristina, 2025. "Mapping consumer well-being: Contextualization, conceptualization, and classification using topic modeling," Journal of Business Research, Elsevier, vol. 194(C).
  13. Sourav Mondal & Saumya Singh, 2025. "A bibliometric and thematic analysis of green entrepreneurship in business research: current status and future research directions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 67-139, January.
  14. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
  15. Lenka Soták-Benedeková & Jana Rybárová & Dana Tometzová & Andrea Seňová & Radim Rybár, 2025. "Comprehensive Analysis of Rural Tourism Development: Historical Evolution, Current Trends, and Future Prospects," Sustainability, MDPI, vol. 17(3), pages 1-41, January.
  16. Mustak, Mekhail & Hallikainen, Heli & Laukkanen, Tommi & Plé, Loïc & Hollebeek, Linda D. & Aleem, Majid, 2024. "Using machine learning to develop customer insights from user-generated content," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  17. Sule Birim & Ipek Kazancoglu & Sachin Kumar Mangla & Aysun Kahraman & Yigit Kazancoglu, 2024. "The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods," Annals of Operations Research, Springer, vol. 339(1), pages 131-161, August.
  18. Kelly Gerakoudi & Georgios Kokosalakis & Peter J. Stavroulakis, 2024. "A machine learning approach towards reviewing the role of ‘Internet of Things’ in the shipping industry," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-29, December.
  19. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  20. Pati, Arnav & Pradhan, Debasis & Moharana, Tapas Ranjan & Chaudhuri, Himadri Roy & Rup, Bikash Kumar, 2025. "Forty Years of Brand Logo Literature: A Review and Future Research Directions," Journal of Business Research, Elsevier, vol. 200(C).
  21. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  22. Debesh Mishra & Biswajit Mohapatra & Abhaya Sanatan Satpathy & Kamalakanta Muduli & Binayak Mishra & Swagatika Mishra & Upma Paliwal, 2024. "The pandemic COVID-19 and associated challenges with implementation of artificial intelligence (AI) in Indian agriculture," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2715-2729, June.
  23. Lukasz Wojtowicz & Katarzyna Kalinowska & Adam Weinert, 2024. "The Determinants of Harnessing AI in Shaping Company’s Image," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1288-1300.
  24. Ma, Xiaoyu & Bai, Chunguang, 2025. "Sustainable development of PV projects based on a text-analytic decision-making framework," International Journal of Production Economics, Elsevier, vol. 285(C).
  25. Hossain, Mokter & Ahmad, Farhan & Aleem, Majid & Bask, Anu & Rajahonka, Mervi, 2025. "Emerging technologies in sharing economy: a review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 218(C).
  26. Alexander Brem & Petra A. Nylund & Saeed Roshani, 2024. "Unpacking the complexities of crisis innovation: a comprehensive review of ecosystem-level responses to exogenous shocks," Review of Managerial Science, Springer, vol. 18(8), pages 2441-2464, August.
  27. Manuel Muth & Michael Lingenfelder & Gerd Nufer, 2025. "The application of machine learning for demand prediction under macroeconomic volatility: a systematic literature review," Management Review Quarterly, Springer, vol. 75(3), pages 2759-2802, September.
  28. Henrika Langen & Martin Huber, 2023. "How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-37, January.
  29. Krey, Nina & Picot-Coupey, Karine & Cliquet, Gérard, 2022. "Shopping mall retailing: A bibliometric analysis and systematic assessment of Chebat's contributions," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  30. Jarotschkin, Viktor & Soykoth, Mostofa Wahid & Chaker, Nawar N., 2025. "Artificial intelligence in sales research: Identifying emergent themes and looking forward," Journal of Business Research, Elsevier, vol. 198(C).
  31. Serena Strazzullo & Sérgio Moro & Livio Cricelli, 2023. "Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(4), pages 2851-2862, August.
  32. Ahmed Gamal ElKattan & Diana Gavilan & Mohamed Hamed Elsharnouby & Amira Fouad Ahmed Mahran, 2024. "Mapping sharing economy themes: science mapping, topic modeling, and research agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 843-864, December.
  33. Blasco-Arcas, Lorena & Lee, Hsin-Hsuan Meg & Kastanakis, Minas N. & Alcañiz, Mariano & Reyes-Menendez, Ana, 2022. "The role of consumer data in marketing: A research agenda," Journal of Business Research, Elsevier, vol. 146(C), pages 436-452.
  34. Potrawa, Tomasz & Tetereva, Anastasija, 2022. "How much is the view from the window worth? Machine learning-driven hedonic pricing model of the real estate market," Journal of Business Research, Elsevier, vol. 144(C), pages 50-65.
  35. James Adu Peprah & John Amoah & Kofi Kwarteng & Abdul Bashiru Jibril & Taimur Sharif, 2025. "Artificial intelligence and additive manufacturing for resilient supply chain in Africa: A systematic literature review," Future Business Journal, Springer, vol. 11(1), pages 1-12, December.
  36. Jing Chen & Saeed Tajdini, 2025. "A moderated model of artificial intelligence adoption in firms and its effects on their performance," Information Technology and Management, Springer, vol. 26(3), pages 407-419, September.
  37. Wenkai Zhou & Chi Zhang & Linwan Wu & Meghana Shashidhar, 2023. "ChatGPT and marketing: Analyzing public discourse in early Twitter posts," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 693-706, December.
  38. Jiyoon An, 2025. "Performance analysis and scientific mapping of the literature on political marketing and brand: a systematic review," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 22(2), pages 327-347, June.
  39. Marika Parcesepe & Francesca Forgione & Celeste Maria Ciampi & Gerardo Nisco Ciarcia & Valeria Guerriero & Mariaconsiglia Iannotti & Letizia Saviano & Maria Letizia Melisi & Salvatore Rampone, 2023. "Towards the automated evaluation of product packaging in the Food&Beverage sector through data science/machine learning methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2269-2280, June.
  40. Liu, Qiyang & Zhe, Tao, 2026. "Mapping the evolution of transport justice research: A structural topic modelling approach," Transport Policy, Elsevier, vol. 175(C).
  41. Giacomo Zatini, 2025. "Conditions of use and impacts of artificial intelligence in marketing practices: a mixed-method literature review," Italian Journal of Marketing, Springer, vol. 2025(3), pages 293-329, September.
  42. Li, Weixia & Wang, Jianguo, 2024. "Determinants of artificial intelligence-assisted diagnostic system adoption intention: A behavioral reasoning theory perspective," Technology in Society, Elsevier, vol. 78(C).
  43. Wondwesen Tafesse & Bronwyn Wood, 2024. "Hey ChatGPT: an examination of ChatGPT prompts in marketing," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(4), pages 790-805, December.
  44. Huang, Bo & Laporte, Sandra & Sénécal, Sylvain & Sobol, Kamila, 2025. "Falling out with AI-buddies: The hidden costs of treating AI as a partner versus servant during service failure," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  45. O. C. Ferrell & Dana E. Harrison & Linda K. Ferrell & Haya Ajjan & Bryan W. Hochstein, 2024. "A theoretical framework to guide AI ethical decision making," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 53-67, June.
  46. Mohammad Amin Darzi & Sadra Ahmadi & Sajjad Shokouhyar, 2025. "Cross-cultural ranking of cellphone life cycle issues for strategic CSR marketing with social media-based AHP," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(2), pages 3201-3232, February.
  47. Christopher Gerling & Stefan Lessmann, 2024. "Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis," Papers 2411.14463, arXiv.org.
  48. Junbin Wang & Chenyang Zhao & Lufei Huang & Shuai Yang & Minxing Wang, 2024. "Uncovering research trends and opportunities on FinTech: a scientometric analysis," Electronic Commerce Research, Springer, vol. 24(1), pages 105-129, March.
  49. Seyed Mohammad Ali Jafari & Ehsan Chitsaz, 2024. "Nasdaq-100 Companies' Hiring Insights: A Topic-based Classification Approach to the Labor Market," Papers 2409.00658, arXiv.org.
  50. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
  51. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
  52. Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
  53. Aleem, Majid & Sufyan, Muhammad & Ameer, Irfan & Mustak, Mekhail, 2023. "Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda," Journal of Business Research, Elsevier, vol. 154(C).
  54. Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
  55. Debesh Mishra & Kamalakanta Muduli & Rakesh Raut & Balkrishna Eknath Narkhede & Himanshu Shee & Sujoy Kumar Jana, 2023. "Challenges Facing Artificial Intelligence Adoption during COVID-19 Pandemic: An Investigation into the Agriculture and Agri-Food Supply Chain in India," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
  56. Zhong, Qian & Zhang, Qun & Yang, Jingjing, 2025. "Can artificial intelligence empower energy enterprises to cope with climate policy uncertainty?," Energy Economics, Elsevier, vol. 141(C).
  57. Rituparna Basu & Md. Nayeem Aktar & Satish Kumar, 2025. "The interplay of artificial intelligence, machine learning, and data analytics in digital marketing and promotions: a review and research agenda," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(2), pages 267-287, June.
  58. Shivam Gupta & Jakob Rhyner, 2022. "Mindful Application of Digitalization for Sustainable Development: The Digitainability Assessment Framework," Sustainability, MDPI, vol. 14(5), pages 1-23, March.
  59. Biktimirov, Ernest N. & Sokolyk, Tatyana & Ayanso, Anteneh, 2024. "Unpacking the relation between media sentiment and house prices: A topic modeling approach," Journal of Housing Economics, Elsevier, vol. 66(C).
  60. Reyes-Menendez, Ana & Clemente-Mediavilla, Jorge & Villagra, Nuria, 2023. "Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  61. Hoffmann, Stefan & Lasarov, Wassili & Dwivedi, Yogesh K., 2024. "AI-empowered scale development: Testing the potential of ChatGPT," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
  62. Paulin Gohoungodji, 2025. "Innovation in creative industries: Bibliometrix analysis and research agenda," Journal of Economic Analysis, Anser Press, vol. 4(1), pages 29-50, March.
  63. Akbari, Morteza & Foroudi, Pantea & Zaman Fashami, Rahime & Mahavarpour, Nasrin & Khodayari, Maryam, 2022. "Let us talk about something: The evolution of e-WOM from the past to the future," Journal of Business Research, Elsevier, vol. 149(C), pages 663-689.
  64. Salminen, Joni & Kandpal, Chandrashekhar & Kamel, Ahmed Mohamed & Jung, Soon-gyo & Jansen, Bernard J., 2022. "Creating and detecting fake reviews of online products," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
  65. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Jabeen, Fauzia, 2022. "Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support," Journal of Business Research, Elsevier, vol. 153(C), pages 46-58.
  66. Liu, Shuai & Gao, Lihui & Chen, Mengzhu, 2025. "Artificial intelligence adoption and corporate financial risk," Finance Research Letters, Elsevier, vol. 85(PA).
  67. wael AL-khatib, Ayman, 2023. "Drivers of generative artificial intelligence to fostering exploitative and exploratory innovation: A TOE framework," Technology in Society, Elsevier, vol. 75(C).
  68. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
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  70. Haofen Xie & Yuankun Nie & Li Liu & Yang Chen, 2025. "Machine learning-based research of AI marketing: topic analysis and model construction," Future Business Journal, Springer, vol. 11(1), pages 1-23, December.
  71. Raniah Alsahafi & Ahmed Alzahrani & Rashid Mehmood, 2023. "Smarter Sustainable Tourism: Data-Driven Multi-Perspective Parameter Discovery for Autonomous Design and Operations," Sustainability, MDPI, vol. 15(5), pages 1-64, February.
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  73. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
  74. Shi, Renbo & Shan, Wei & Evans, Richard & Wang, Qingjin, 2025. "Artificial intelligence-driven energy technology innovation: Dynamic impact and mechanism exploration," Energy Economics, Elsevier, vol. 147(C).
  75. Ming, Xin & Wang, Qiang & Liu, Yan, 2025. "The performance implications of R&D collaborations on artificial intelligence," Technovation, Elsevier, vol. 145(C).
  76. Soheila Khajoui & Saeid Dehyadegari & Sayyed Abdolmajid Jalaee, 2023. "Forecasting exports in selected OECD countries and Iran using MLP Artificial Neural Network," Papers 2312.15535, arXiv.org.
  77. Joni Salminen & Mekhail Mustak & Muhammad Sufyan & Bernard J. Jansen, 2023. "How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 677-692, December.
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