Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis
- Autores:
-
Rojas-Berrio, Sandra Patricia
Camargo-Mendoza, Jorge Eliécer
Robledo-Giraldo, Sebastián
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2026
- Institución:
- Universidad Pedagógica y Tecnológica de Colombia
- Repositorio:
- RiUPTC: Repositorio Institucional UPTC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.uptc.edu.co:001/23120
- Acceso en línea:
- https://doi.org/10.19053/uptc.20278306.v16.n2.2026.21964
- Palabra clave:
- generative AI
communication
content generation
consumer behaviour
IA generativa
comunicación
generación de contenido
comportamiento del consumidor
- Rights
- openAccess
- License
- Revista de Investigación, Desarrollo e Innovación - 2026
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Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| title |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| spellingShingle |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis generative AI communication content generation consumer behaviour IA generativa comunicación generación de contenido comportamiento del consumidor |
| title_short |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| title_full |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| title_fullStr |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| title_full_unstemmed |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| title_sort |
Mapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysis |
| dc.creator.fl_str_mv |
Rojas-Berrio, Sandra Patricia Camargo-Mendoza, Jorge Eliécer Robledo-Giraldo, Sebastián |
| dc.contributor.author.spa.fl_str_mv |
Rojas-Berrio, Sandra Patricia Camargo-Mendoza, Jorge Eliécer Robledo-Giraldo, Sebastián |
| dc.subject.none.fl_str_mv |
generative AI communication content generation consumer behaviour IA generativa comunicación generación de contenido comportamiento del consumidor |
| topic |
generative AI communication content generation consumer behaviour IA generativa comunicación generación de contenido comportamiento del consumidor |
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2026 |
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2026-08-15 |
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eng |
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Ahn, H. (2023). Unrevealing voice search behaviors: Technology acceptance model meets anthropomorphism in understanding consumer psychology in the U.S. market. Sustainability, 15 (23), 16455. https://doi.org/10.3390/su152316455 Alabed, A., Javornik, A., & Gregory-Smith, D. (2022). AI anthropomorphism and its effect on users’ self-congruence and self–AI integration: A theoretical framework and research agenda. Technological Forecasting and Social Change, 182, 121786. https://doi.org/10.1016/j.techfore.2022.121786 Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007 Bag, S., Srivastava, G., Bashir, M. M. A., Kumari, S., Giannakis, M., & Chowdhury, A. H. (2022). Journey of customers in this digital era: Understanding the role of artificial intelligence technologies in user engagement and conversion. Benchmarking: An International Journal, 29 (7), 2074–2098. https://doi.org/10.1108/BIJ-07-2021-0415 Bamberger, S., Clark, N., Ramachandran, S., & Sokolova, V. (2023, July 6). How generative AI is already transforming customer service. Boston Consulting Group. https://www.bcg.com/publications/2023/how-generative-ai-transforms-customer-service Brüns, J. D., & Meißner, M. (2024). Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Retailing and Consumer Services, 79, 103790. https://doi.org/10.1016/j.jretconser.2024.103790 Britto, A., Robledo, S., & Zuluaga, M. (2026). BibFusion: A Python package to integrate, deduplicate, and harmonize exported bibliographic records from Scopus and Web of Science for bibliometric analysis. Iberoamerican Journal of Science Measurement and Communication, 6 (1), 1–21. https://doi.org/10.47909/ijsmc.342 Charles, V., Rana, N. P., Pappas, I. O., Kamphaug, M., Siau, K., & Engø-Monsen, K. (2024). The next ‘deep’ thing in X to Z marketing: An artificial intelligence-driven approach. Information Systems Frontiers, 26, 851–856. https://doi.org/10.1007/s10796-023-10462-x Chen, S., & Ye, J. (2023). Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA. PLOS ONE, 18 (9), e0291870. https://doi.org/10.1371/journal.pone.0291870 Chiu, M., & Chuang, K. (2021). Applying transfer learning to achieve precision marketing in an omni-channel system: A case study of a sharing kitchen platform. International Journal of Production Research, 59 (24), 7594–7609. https://doi.org/10.1080/00207543.2020.1868595 Cillo, P., & Rubera, G. (2025). Generative AI in innovation and marketing processes: A roadmap of research opportunities. Journal of the Academy of Marketing Science, 53 (3), 684–701. https://doi.org/10.1007/s11747-024-01044-7 Correa-Duque, M. C., Posada-Hoyos, V., & Gómez-Tabares, A. S. (2024). La antropomorfización del vínculo humano-animal en las dinámicas familiares: Una revisión documental. Pensamiento Americano, 17 (33). https://doi.org/10.21803/penamer.17.33.618 Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48 (1), 24–42. https://doi.org/10.1007/s11747-019-00696-0 Duque, P., Cárdenas, M., & Robledo, S. (2024). Marketing social: Evolución y tendencias. Entramado, 20 (1), e-10378. https://doi.org/10.18041/1900-3803/entramado.1.10378 Fakhimi, A., Garry, T., & Biggemann, S. (2023). The effects of anthropomorphised virtual conversational assistants on consumer engagement and trust during service encounters. Australasian Marketing Journal, 31 (4), 314–324. https://doi.org/10.1177/14413582231181140 Feuerriegel, S., Hartmann, J., Janiesch, C., & Zschech, P. (2024). Generative AI. Business & Information Systems Engineering, 66 (1), 111–126. https://doi.org/10.1007/s12599-023-00834-7 Fu, D., Hong, Y., Wang, K., & Fan, W. (2018). Effects of membership tier on user content generation behaviors: Evidence from online reviews. Electronic Commerce Research, 18 (3), 457–483. https://doi.org/10.1007/s10660-017-9266-7 Garcia-Cifuentes, K. S., Villanueva, Z. D., Escobar-Luján, S. J., Cardona-Ospina, J. A., & Zuluaga, M. (2026). Metabolomics in arbovirus research: A scientometric analysis of its scientific production, collaboration networks, and thematic evolution. Iberoamerican Journal of Science Measurement and Communication, 6 (2), 1–20. https://doi.org/10.47909/ijsmc.386 Grisales-Aguirre, A., Robledo, S., & Eggers, F. (2026). Benchmarking nonnegative tensor factorization for topic modeling: Coherence, separability, and cost. Iberoamerican Journal of Science Measurement and Communication, 6 (2), 1–18. https://doi.org/10.47909/ijsmc.349 Guerrero-Molina, M., Vásquez-Suárez, Y., & Valdés-Mosquera, D. (2024). Smart, green, and sustainable: Unveiling technological trajectories in maritime port operations. IEEE Access, 12, 47713–47723. https://doi.org/10.1109/ACCESS.2024.3376431 Harkness, L., Robinson, K., Stein, E., & Wu, W. (2023, December 5). How generative AI can boost consumer marketing. McKinsey & Company. https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/how-generative-ai-can-boost-consumer-marketing Hernandez, C., Perez, J., Ardila, G., & Osorio, C. (2025). Global trends in artificial intelligence in entrepreneurial marketing: A scientometric analysis. DecisionTech Review, 5 (2), 1–16. https://doi.org/10.47909/dtr.29 Hsieh, P.-J. (2023). Determinants of physicians’ intention to use AI-assisted diagnosis: An integrated readiness perspective. Computers in Human Behavior, 147, 107868. https://doi.org/10.1016/j.chb.2023.107868 Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21 (2), 155–172. https://doi.org/10.1177/1094670517752459 Huang, M.-H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24 (1), 30–41. https://doi.org/10.1177/1094670520902266 Kim, J., Kang, S., & Bae, J. (2022). The effects of customer consumption goals on artificial intelligence-driven recommendation agents: Evidence from Stitch Fix. International Journal of Advertising, 41 (6), 997–1016. https://doi.org/10.1080/02650487.2021.1963098 Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61 (4), 135–155. https://doi.org/10.1177/0008125619859317 Li, C., & Zhang, J. (2023). Chatbots or me? Consumers’ switching between human agents and conversational agents. Journal of Retailing and Consumer Services, 72, 103264. https://doi.org/10.1016/j.jretconser.2023.103264 Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019). Frontiers: Machines vs. humans: The impact of artificial intelligence chatbot disclosure on customer purchases. Marketing Science, 38 (6), 937–947. https://doi.org/10.1287/mksc.2019.1192 Méndez-Suárez, M., Simón-Moya, V., & Muñoz-de Prat, J. (2023). Do current regulations prevent unethical AI practices? Journal of Competitiveness, 15 (3), 207–225. https://doi.org/10.7441/joc.2023.03.11 Mishra, S., Ewing, M. T., & Cooper, H. B. (2022). Artificial intelligence focus and firm performance. Journal of the Academy of Marketing Science, 50 (6), 1176–1197. https://doi.org/10.1007/s11747-022-00876-5 Mittal, T., Dhiman, A., Singh, V. V., Gupta, A. K., & Kedia, N. (2023). Delving the role of artificial intelligence-driven advertisements on purchase intention of omnichannel customers using SEM. In 2023 4th International Conference on Computation, Automation and Knowledge Management (ICCAKM), 1–7. IEEE. https://doi.org/10.1109/ICCAKM58659.2023.10449612 Moyano-Londoño, G. A., & Marín-Cardona, P. F. (2024). La perdurabilidad empresarial de los emprendimientos sociales: Revisión sistemática y perspectivas de investigación. Tendencias, 25 (1), 269–295. https://doi.org/10.22267/rtend.242501.249 Moriuchi, E. (2021). An empirical study on anthropomorphism and engagement with disembodied AIs and consumers’ re-use behavior. Psychology & Marketing, 38 (1), 21–42. https://doi.org/10.1002/mar.21407 Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389–404. https://doi.org/10.1016/j.jbusres.2020.10.044 Nam, H., & Kannan, P. K. (2020). Digital environment in global markets: Cross-cultural implications for evolving customer journeys. Journal of International Marketing, 28 (1), 28–47. https://doi.org/10.1177/1069031X19898767 Oncioiu, I. (2023). Predicting the use of chatbots for consumer channel selection in multichannel environments: An exploratory study. Systems, 11 (10), 522. https://doi.org/10.3390/systems11100522 Orzoł, M., & Szopik-Depczyńska, K. (2023). ChatGPT as an innovative tool for increasing sales in online stores. Procedia Computer Science, 225, 3450–3459. https://doi.org/10.1016/j.procs.2023.10.340 Pilone, V., Di Pasquale, A., & Stasi, A. (2023). Consumer preferences for craft beer by means of artificial intelligence: Are Italian producers doing well? Beverages, 9 (1), 26. https://doi.org/10.3390/beverages9010026 Piotrowski, D. (2023). Privacy frontiers in customers’ relations with banks. 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Networking as an entrepreneurial marketing tool: The link between effectuation and word of mouth. Journal of Research in Marketing and Entrepreneurship, 25 (2), 270–285. https://doi.org/10.1108/JRME-08-2020-0112 Robledo, S., Valencia, L., Zuluaga, M., Echeverri, O. A., & Valencia, J. W. A. (2024). tosr: Create the Tree of Science from WoS and Scopus. Journal of Scientometric Research, 13 (2), 459–465. https://doi.org/10.5530/jscires.13.2.36 Toader, D.-C., Boca, G., Toader, R., Măcelaru, M., Toader, C., Ighian, D., & Rădulescu, A. T. (2020). The effect of social presence and chatbot errors on trust. Sustainability, 12 (1), 256. https://doi.org/10.3390/su12010256 Volkmar, G., Fischer, P. M., & Reinecke, S. (2022). Artificial intelligence and machine learning: Exploring drivers, barriers, and future developments in marketing management. Journal of Business Research, 149, 599–614. https://doi.org/10.1016/j.jbusres.2022.04.007 Voorveld, H. A. M., Meppelink, C. S., & Boerman, S. C. (2024). Consumers’ persuasion knowledge of algorithms in social media advertising: Identifying consumer groups based on awareness, appropriateness, and coping ability. International Journal of Advertising, 43 (6), 960–986. https://doi.org/10.1080/02650487.2023.2264045 Yue, B., & Li, H. (2023). The impact of human-AI collaboration types on consumer evaluation and usage intention: A perspective of responsibility attribution. Frontiers in Psychology, 14, 1277861. https://doi.org/10.3389/fpsyg.2023.1277861 Zhang, Y., & Wang, S. (2023). The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types. Journal of Retailing and Consumer Services, 74, 103432. https://doi.org/10.1016/j.jretconser.2023.103432 |
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Rojas-Berrio, Sandra PatriciaCamargo-Mendoza, Jorge EliécerRobledo-Giraldo, Sebastián2026-08-15 00:00:002026-08-15 00:00:002026-08-152027-830610.19053/uptc.20278306.v16.n2.2026.219642389-9417https://doi.org/10.19053/uptc.20278306.v16.n2.2026.21964application/pdfengUniversidad Pedagógica y Tecnológica de ColombiaRevista de Investigación, Desarrollo e Innovación - 2026https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessEsta obra está bajo una licencia internacional Creative Commons Atribución 4.0.http://purl.org/coar/access_right/c_abf2https://revistas.uptc.edu.co/index.php/investigacion_duitama/article/view/21964generative AIcommunicationcontent generationconsumer behaviourIA generativacomunicacióngeneración de contenidocomportamiento del consumidorMapping research on communication, content generation, and consumer behaviour in the generative AI era: a 2001–2023 scientometric analysisArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articleJournal articleinfo:eu-repo/semantics/publishedVersionTexthttp://purl.org/coar/version/c_970fb48d4fbd8a85Ahn, H. (2023). Unrevealing voice search behaviors: Technology acceptance model meets anthropomorphism in understanding consumer psychology in the U.S. market. Sustainability, 15 (23), 16455. https://doi.org/10.3390/su152316455Alabed, A., Javornik, A., & Gregory-Smith, D. (2022). AI anthropomorphism and its effect on users’ self-congruence and self–AI integration: A theoretical framework and research agenda. Technological Forecasting and Social Change, 182, 121786. https://doi.org/10.1016/j.techfore.2022.121786Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007Bag, S., Srivastava, G., Bashir, M. M. A., Kumari, S., Giannakis, M., & Chowdhury, A. H. (2022). Journey of customers in this digital era: Understanding the role of artificial intelligence technologies in user engagement and conversion. Benchmarking: An International Journal, 29 (7), 2074–2098. https://doi.org/10.1108/BIJ-07-2021-0415Bamberger, S., Clark, N., Ramachandran, S., & Sokolova, V. (2023, July 6). How generative AI is already transforming customer service. Boston Consulting Group. https://www.bcg.com/publications/2023/how-generative-ai-transforms-customer-serviceBrüns, J. D., & Meißner, M. (2024). Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity. Journal of Retailing and Consumer Services, 79, 103790. https://doi.org/10.1016/j.jretconser.2024.103790Britto, A., Robledo, S., & Zuluaga, M. (2026). BibFusion: A Python package to integrate, deduplicate, and harmonize exported bibliographic records from Scopus and Web of Science for bibliometric analysis. Iberoamerican Journal of Science Measurement and Communication, 6 (1), 1–21. https://doi.org/10.47909/ijsmc.342Charles, V., Rana, N. P., Pappas, I. O., Kamphaug, M., Siau, K., & Engø-Monsen, K. (2024). The next ‘deep’ thing in X to Z marketing: An artificial intelligence-driven approach. Information Systems Frontiers, 26, 851–856. https://doi.org/10.1007/s10796-023-10462-xChen, S., & Ye, J. (2023). Understanding consumers’ intentions to purchase smart clothing using PLS-SEM and fsQCA. PLOS ONE, 18 (9), e0291870. https://doi.org/10.1371/journal.pone.0291870Chiu, M., & Chuang, K. (2021). Applying transfer learning to achieve precision marketing in an omni-channel system: A case study of a sharing kitchen platform. International Journal of Production Research, 59 (24), 7594–7609. https://doi.org/10.1080/00207543.2020.1868595Cillo, P., & Rubera, G. (2025). Generative AI in innovation and marketing processes: A roadmap of research opportunities. Journal of the Academy of Marketing Science, 53 (3), 684–701. https://doi.org/10.1007/s11747-024-01044-7Correa-Duque, M. C., Posada-Hoyos, V., & Gómez-Tabares, A. S. (2024). 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Journal of Retailing and Consumer Services, 74, 103432. https://doi.org/10.1016/j.jretconser.2023.103432540251916Revista de Investigación, Desarrollo e Innovaciónhttps://revistas.uptc.edu.co/index.php/investigacion_duitama/article/download/21964/17540Núm. 2 , Año 2026 : Julio-DiciembrePublicationOREORE.xmltext/xml2854https://repositorio.uptc.edu.co/bitstreams/4b58c92c-a3f6-441b-a65a-2b0685615bf5/download8ceb4977a64fb29aae85aecf930e21ebMD51falseAnonymousREAD001/23120oai:repositorio.uptc.edu.co:001/231202026-10-23 05:30:12.123https://creativecommons.org/licenses/by/4.0metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCbdigital@metabiblioteca.com |