Anthropomorphism in artificial intelligence: a game-changer for brand marketing
Open accessAbstract
The expansion of brands adopting artificial intelligence services with human characteristics, such as chatbots, has revolutionized digital marketing strategies, transforming how companies reach and engage customers. This technological innovation is reshaping digital interactions between companies and consumers, offering a more personalized and efficient experience. This study explores the influence of chatbot anthropomorphism on customer engagement and purchasing decision-making with brands that use this artificial intelligence service. Data from a questionnaire with 1319 participants was analyzed using partial least squares method. Chatbot anthropomorphism has a more positive influence on purchasing decision-making when this relationship is mediated by customer engagement. In turn, customer involvement also has a positive influence on decision-making. The results emphasize that for a greater influence of the chatbot's anthropomorphism on purchasing decision-making, the customer must first be engaged with the chatbot. This research illuminates a new path in the domain of AI-enabled brand interactions, showing the distinct influence of anthropomorphism in chatbots on customer satisfaction, trust and loyalty, thus revolutionizing traditional paradigms of consumer-brand engagement and decision-making processes. By exploring the intricate dynamics between customer engagement with anthropomorphized chatbots and purchasing decisions, this study breaks new ground, offering unprecedented insight into the transformative potential of human-like chatbot interactions in shaping consumer behavior and brand relationships.
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Consciousness attributions to chatbots based on biased belief are likely to increase, as AI companies have incentives to facilitate anthropomorphically biased conceptions.
“consciousness attributions to them based on biased belief are likely to increase, as AI companies have incentives to facilitate anthropomorphically biased conceptions (e.g., to increase user engagement) (Gomes et al., 2025).”
From Are Attributions of Consciousness to AI Chatbots Epistemically Innocent? (2026) · cites this paper as Gomes et al., 2025
The Introduction and Discussion say brands can benefit from anthropomorphic chatbot design because it increases customer engagement, supporting the claim about commercial incentives. The section on chatbot anthropomorphism also warns that human-like design can create unrealistic expectations. The paper does not say that biased attributions of consciousness are likely to increase. (LLM, conf=0.86)
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Cites
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373 · see citing works
A primer on partial least squares structural equation modeling (PLS-SEM)
Leguina, A. (2015) · International Journal of Research & Method in Education · doi:10.1080/1743727x.2015.1005806 · Cited by 18,921 · see citing works
PLS-SEM or CB-SEM: updated guidelines on which method to use
Jr., J. F. H., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017) · International Journal of Multivariate Data Analysis · doi:10.1504/ijmda.2017.087624 · Cited by 5,441 · see citing works
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.08.002 · Cited by 4,611 · see citing works
Brodie, R. J., Hollebeek, L. D., Jurić, B., & Ilić, A. (2011) · Journal of Service Research · doi:10.1177/1094670511411703 · Cited by 4,036 · see citing works
CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting
Dash, G., & Paul, J. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121092 · Cited by 2,836 · see citing works
Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788 · see citing works
Blut, M., Wang, C., Wünderlich, N. V., & Brock, C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00762-y · Cited by 1,194 · see citing works
Ashfaq, M., Yun, J., Yu, S., & Loureiro, S. M. C. (2020) · Telematics and Informatics · doi:10.1016/j.tele.2020.101473 · Cited by 1,100 · see citing works
Go, E., & Sundar, S. S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.01.020 · Cited by 1,089 · see citing works
Lee, D., & Yoon, S. N. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18010271 · Cited by 1,017 · see citing works
Chatbot e-service and customer satisfaction regarding luxury brands
Chung, M., Ko, E., Joung, H., & Kim, S. J. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.10.004 · Cited by 1,005 · see citing works
Pelau, C., Dabija, D.-C., & Ene, I. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.106855 · Cited by 889 · see citing works
Blame the Bot: Anthropomorphism and Anger in Customer–Chatbot Interactions
Crolic, C., Thomaz, F., Hadi, R., & Stephen, A. T. (2021) · Journal of Marketing · doi:10.1177/00222429211045687 · Cited by 817 · see citing works
The Ethical Implications of Using Artificial Intelligence in Auditing
Munoko, I., Brown‐Liburd, H. L., & Vasarhelyi, M. A. (2020) · Journal of Business Ethics · doi:10.1007/s10551-019-04407-1 · Cited by 746 · see citing works
Customer service chatbots: Anthropomorphism and adoption
Sheehan, B., Jin, H. S., & Gottlieb, U. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.04.030 · Cited by 667 · see citing works
Chaves, A. P., & Gerosa, M. A. (2021) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2020.1841438 · Cited by 572 · see citing works
Cheng, X., Zhang, X., Cohen, J., & Mou, J. (2022) · Information Processing & Management · doi:10.1016/j.ipm.2022.102940 · Cited by 536 · see citing works
Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI
Siau, K., & Wang, W. (2020) · Journal of Database Management · doi:10.4018/jdm.2020040105 · Cited by 533 · see citing works
Cheng, Y., & Jiang, H. (2021) · Journal of Product & Brand Management · doi:10.1108/jpbm-05-2020-2907 · Cited by 439 · see citing works
Estimating the Impact of “Humanizing” Customer Service Chatbots
Schanke, S., Burtch, G., & Ray, G. (2021) · Information Systems Research · doi:10.1287/isre.2021.1015 · Cited by 407 · see citing works
Roy, R., & Naidoo, V. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.12.051 · Cited by 404 · see citing works
Belanche, D., Casaló, L. V., Schepers, J., & Flavián, C. (2021) · Psychology and Marketing · doi:10.1002/mar.21532 · Cited by 402 · see citing works
Tsai, W.-H. S., Liu, Y., & Chuan, C.-H. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-12-2019-0200 · Cited by 394 · see citing works
Robotics for Customer Service: A Useful Complement or an Ultimate Substitute?
Xiao, L., & Kumar, V. (2019) · Journal of Service Research · doi:10.1177/1094670519878881 · Cited by 366 · see citing works
Jiang, H., Cheng, Y., Yang, J., & Gao, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107329 · Cited by 362 · see citing works
Komiak, S., & Benbasat, I. (2003) · Information Technology and Management · doi:10.1023/b:item.0000008081.55563.d4 · Cited by 356 · see citing works
Yen, C., & Chiang, M.-C. (2021) · Behaviour & Information Technology · doi:10.1080/0144929x.2020.1743362 · Cited by 297 · see citing works
Someone out there? A study on the social presence of anthropomorphized chatbots
Konya-Baumbach, E., Biller, M., & von Janda, S. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107513 · Cited by 283 · see citing works
The impact of chatbots on customer loyalty: a systematic literature review
Jenneboer, L., Herrando, C., & Constantinides, E. (2022) · Journal of Theoretical and Applied Electronic Commerce Research · doi:10.3390/jtaer17010011 · Cited by 249 · see citing works
Song, S. W., & Shin, M. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2121038 · Cited by 244 · see citing works
The Impact of Anthropomorphism on Consumers’ Purchase Decision in Chatbot Commerce
Han, M. C. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1863022 · Cited by 220 · see citing works
Chatbot for SMEs: Integrating customer and business owner perspectives
Selamat, M. A., & Windasari, N. A. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101685 · Cited by 204 · see citing works
Pizzi, G., Vannucci, V., Mazzoli, V., & Donvito, R. (2023) · Psychology & Marketing · doi:10.1002/mar.21813 · Cited by 194 · see citing works
Janson, A. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107954 · Cited by 187 · see citing works
Mental models and expectation violations in conversational AI interactions
Grimes, G. M., Schuetzler, R. M., & Giboney, J. S. (2021) · Decision Support Systems · doi:10.1016/j.dss.2021.113515 · Cited by 184 · see citing works
Anthropomorphism in AI-enabled technology: A literature review
Li, M., & Suh, A. (2022) · Electronic Markets · doi:10.1007/s12525-022-00591-7 · Cited by 181 · see citing works
Balakrishnan, J., & Griffiths, M. D. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.06.002 · Cited by 180 · see citing works
Klein, K., & Martinez, L. F. (2023) · Electronic Commerce Research · doi:10.1007/s10660-022-09562-8 · Cited by 180 · see citing works
AI-based chatbots in conversational commerce and their effects on product and price perceptions
Sidlauskiene, J., Joye, Y., & Auruškevičienė, V. (2023) · Electronic Markets · doi:10.1007/s12525-023-00633-8 · Cited by 163 · see citing works
Lee, C. T., Pan, L.-Y., & Hsieh, S. H. (2021) · Internet Research · doi:10.1108/intr-01-2021-0030 · Cited by 159 · see citing works
Artificial Intelligence and the Future of Work: A Functional-Identity Perspective
Selenko, E., Bankins, S., Shoss, M. K., Warburton, J., & Restubog, S. (2022) · Current Directions in Psychological Science · doi:10.1177/09637214221091823 · Cited by 159 · see citing works
Trakadas, P. T., Simoens, P., Gkonis, P. K., Sarakis, L., Angelopoulos, A., Ramallo-González, A. P., Skármeta, A., Trochoutsos, C., Calvο, D., Lobo, T. P., et al. (2020) · Sensors · doi:10.3390/s20195480 · Cited by 155 · see citing works
Engaging the Avatar: The effects of authenticity signals during chat-based service recoveries
Jones, C. L. E., Hancock, T. D., Kazandjian, B., & Voorhees, C. M. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.01.012 · Cited by 144 · see citing works
Dong, Y., Hou, J., Zhang, N., & Mao-cong, Z. (2020) · Complexity · doi:10.1155/2020/1680845 · Cited by 123 · see citing works
Anthropomorphism and object attachment
Wan, E. W., & Chen, R. P. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.08.009 · Cited by 119 · see citing works
Chatbots in frontline services and customer experience: An anthropomorphism perspective
Nguyen, M., Casper Ferm, L., Quach, S., Pontes, N., & Thaichon, P. (2023) · Psychology & Marketing · doi:10.1002/mar.21882 · Cited by 119 · see citing works
Huang, H.-L., Cheng, L., Sun, P., & Chou, S.-J. (2021) · International Journal of Social Robotics · doi:10.1007/s12369-021-00752-2 · Cited by 118 · see citing works
So, K. K. F., Kim, H., Liu, S. Q., Fang, X., & Wirtz, J. (2023) · European Journal of Marketing · doi:10.1108/ejm-03-2022-0176 · Cited by 114 · see citing works
Al-Shafei, M. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2301252 · Cited by 112 · see citing works
Zhang, Y., & Wang, S. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103432 · Cited by 102 · see citing works
Lu, Z., Min, Q., Jiang, L., & Chen, Q. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102767 · Cited by 89 · see citing works
The role of chatbots’ human-like characteristics in online shopping
Fu, J., Mouakket, S., & Sun, Y. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101304 · Cited by 78 · see citing works
Business types matter: new insights into the effects of anthropomorphic cues in AI chatbots
Youn, K., & Cho, M. (2023) · Journal of Services Marketing · doi:10.1108/jsm-04-2022-0126 · Cited by 76 · see citing works
AI and privacy concerns: a smart meter case study
Carmody, J., Shringarpure, S., & de Venter, G. V. (2021) · Journal of Information Communication and Ethics in Society · doi:10.1108/jices-04-2021-0042 · Cited by 69 · see citing works
A meta-analysis of the effect of chatbot anthropomorphism on the customer journey
Cheng, Y., Shijia, Z., & Yuyang, X. (2023) · Marketing Intelligence & Planning · doi:10.1108/mip-03-2023-0103 · Cited by 64 · see citing works
Measuring consumer-perceived humanness of online organizational agents
Lu, L., McDonald, C. J., Kelleher, T., Lee, S. S., Chung, Y. J., Mueller, S., Vielledent, M., & Yue, C. A. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107092 · Cited by 62 · see citing works
Tan, S.-M., & Liew, T. W. (2022) · Human Behavior and Emerging Technologies · doi:10.1155/2022/2501538 · Cited by 54 · see citing works
Christoforakos, L., Feicht, N., Hinkofer, S., Löscher, A., Schlegl, S., & Diefenbach, S. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.689999 · Cited by 52 · see citing works
Citizens’ intention to follow recommendations from a government-supported AI-enabled system
Wang, Y.-F., Chen, Y., & Chien, S.-Y. J. (2023) · Public Policy and Administration · doi:10.1177/09520767231176126 · Cited by 48 · see citing works
Schindler, D., Maiberger, T., Koschate-Fischer, N., & Hoyer, W. D. (2024) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-023-00987-7 · Cited by 48 · see citing works
Li, Y., Gan, Z., & Zheng, B. (2025) · Information Systems Frontiers · doi:10.1007/s10796-023-10438-x · Cited by 47 · see citing works
The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills
Pelău, C., Ene, I., & Pop, M.-I. (2021) · Amfiteatru Economic · doi:10.24818/ea/2021/56/33 · Cited by 46 · see citing works
Bozkurt, S., Gligor, D. M., & Gligor, N. (2021) · Journal of Marketing Analytics · doi:10.1057/s41270-021-00146-3 · Cited by 42 · see citing works
AI-Enabled Technologies that Fight the Coronavirus Outbreak
Fong, S. J., Dey, N., & Chaki, J. (2020) · SpringerBriefs in applied sciences and technology · doi:10.1007/978-981-15-5936-5_2 · Cited by 38 · see citing works
A contingency-based approach to service robot design: Role of robot capabilities and personalities
Balaji, M. S., Sharma, P., Jiang, Y., Zhang, X., Walsh, S. T., Behl, A., & Jain, K. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2024.123257 · Cited by 27 · see citing works
Jáuregui-Velarde, R., Andrade-Arenas, L., Molina-Velarde, P., & Yactayo-Arias, C. (2024) · International Journal of Electrical and Computer Engineering (IJECE) · doi:10.11591/ijece.v14i1.pp1079-1090 · Cited by 20 · see citing works
Enhancing service quality in the insurance industry with AI-powered humanoid chatbots
Patil, K. P., Kulkarni, M. S., & Hudnurkar, M. (2024) · The TQM Journal · doi:10.1108/tqm-11-2023-0354 · Cited by 19 · see citing works
Empowering Preventive Care with GECA Chatbot
Maia, E., Vieira, P. N. D. A., & Praça, I. (2023) · Healthcare · doi:10.3390/healthcare11182532 · Cited by 18 · see citing works
Artificial learning companionusing machine learning and natural language processing
Pugalenthi, R., Chakkaravarthy, A. P., Ramya, J., Babu, S., & Krishnan, R. R. (2020) · International Journal of Speech Technology · doi:10.1007/s10772-020-09773-0 · Cited by 16 · see citing works
Mehedinţu, A., & Șoavă, G. (2022) · Electronics · doi:10.3390/electronics11162499 · Cited by 15 · see citing works
Can Chatbot Anthropomorphism and Empathy Mitigate the Impact of Customer Anger on Satisfaction?
Tang, J., Wang, Y., Zhou, X., Guo, J., & Li, C. P. (2024) · Lecture notes in computer science · doi:10.1007/978-3-031-57850-2_7 · Cited by 5 · see citing works
Reynaldo, K., & Salehudin, I. (2024) · Journal of Games Game Art and Gamification · doi:10.21512/jggag.v9i1.10538 · Cited by 1 · see citing works
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- Gartner (2023) Gartner survey reveals only 8% of customers used a chatbot during their most recent customer service interaction. In: Gartner. https:// www. gartn er. com/ en/ newsr oom/ press-relea ses/ 2023- 06-15-gartn er-survey-revea ls-only-8-perce nt-of-custo mers-used-a-chatb ot-during-their-most-recent-custo mer-servi ce-inter action. Accessed 17 April 2024
Cited by
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The impact of artificial intelligence on consumer behavior towards brands: a systematic review
Ribeiro, A., Rivero, A. J. L., & Abrantes, J. L. (2025) · Electronic Commerce Research · doi:10.1007/s10660-025-10063-7 · Cited by 21 · see citing works
Polimerou, R., & Spais, G. S. (2025) · Journal of Marketing Analytics · doi:10.1057/s41270-025-00396-5 · Cited by 15 · see citing works
Human-AI in affordance perspective: a study on ChatGPT users in the context of Indonesian users
Haqqu, R., Zahrani, A. R., Wulandari, A., Ersyad, F. A., & Adim, A. K. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1623029 · Cited by 12 · see citing works
Vyas, Y., & Vishwakarma, P. (2026) · International Journal of Consumer Studies · doi:10.1111/ijcs.70170 · Cited by 17 · see citing works
Gao, J., Guo, J., Yao, S., & Yin, Y. (2026) · Tourism Review · doi:10.1108/tr-06-2025-0622 · Cited by 9 · see citing works
Development and validation of the generative AI engagement scale
Zhang, D., Tan, J. Y., Chew, Y. Y., Hew, L., & Choo, J. Y. (2025) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2025.100221 · Cited by 12 · see citing works
Liu, Y., Zhang, K., Zhang, Y., Pang, H., & Liu, B. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106526 · Cited by 7 · see citing works
Khairy, H. A., & Salama, W. (2026) · Societies · doi:10.3390/soc16030094 · Cited by 6 · see citing works
Li, H., Zhang, Y., Chen, H., Pan, W., & Bu, L. (2025) · Interactive Learning Environments · doi:10.1080/10494820.2025.2599385 · Cited by 4 · see citing works
Yu, D., Zhao, J., Tang, R., Han, C., & Yang, M. (2025) · Journal of Consumer Behaviour · doi:10.1002/cb.70006 · Cited by 5 · see citing works
From chatbots to conversational commerce: The role of AI in shaping consumer purchase decisions
Muliansyah, D., & Nurhidayah, R. (2024) · RIGGS Journal of Artificial Intelligence and Digital Business · doi:10.31004/riggs.v3i2.1068 · Cited by 4 · see citing works
Dung, P. T. P., Hoang, L. C., Minh, A. H., & Phuc, K. N. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2596304 · Cited by 5 · see citing works
Ghazvini, S. N., Ardabili, B. A., Arash, A. H., Hajmalek, S., Vafa, M. H., & Nosrati, H. (2026) · Computers in Human Behavior · doi:10.1016/j.chb.2026.109080 · Cited by 3 · see citing works
Niculescu, M., Bojescu, I., Barbul, M., & Pelău, C. (2025) · Culture Society Economy Politics · doi:10.2478/csep-2025-0002 · Cited by 2 · see citing works
Pang, H., Wang, Z., & Wang, L. (2025) · Behavioral Sciences · doi:10.3390/bs15101329 · Cited by 2 · see citing works
Nanos, D., & Lappas, G. (2026) · Digital · doi:10.3390/digital6020028 · Cited by 2 · see citing works
Hasanein, A. M., Salahaldin, A. D., Khairy, H. A., & Abdou, A. H. (2026) · British Food Journal · doi:10.1108/bfj-12-2025-1732 · Cited by 3 · see citing works
Anthropomorphism in AI-Driven Marketing
Uddin, S. M. F., Hameed, H., & Siddiqui, F. (2026) · Springer eBooks · doi:10.1007/978-3-031-75316-9_50-1 · Cited by 3 · see citing works
Beyond utility: Relational conflicts in human-AI relationships
Skjuve, M., Larsen, A. G., Følstad, A., & Brandtzaeg, P. B. (2026) · Int. J. Hum. Comput. Stud. · doi:10.1016/j.ijhcs.2026.103883 · Cited by 1 · see citing works
Liu, Q., Liu, S., Si, G., & Cui, K. (2025) · Industrial Management & Data Systems · doi:10.1108/imds-05-2025-0643 · Cited by 1 · see citing works
Branding in the Age of AI: Bridging the Human-Tech Divide for Authentic Engagement
Venkatesan, T., & Idian, M. J. I. (2025) · Jurnal Genesis Indonesia · doi:10.56741/jgi.v4i02.956 · Cited by 1 · see citing works
To AI or not to AI? The impact of generative AI image on blood donation intentions
Kam, W. S., Μαγρίζος, Σ., & Christofi, M. (2026) · Technology in Society · doi:10.1016/j.techsoc.2026.103232 · Cited by 1 · see citing works
Does brand anthropomorphism matter? Impact on brand loyalty and consumer decision-making
Ye, J., Zhou, X. Y., Zhao, S., & Yua, B. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.102664 · Cited by 1 · see citing works
Yagmurdur, G., Meng, Y., & Gayaker, S. (2026) · Journal of theoretical and applied electronic commerce research · doi:10.3390/jtaer21050159 · Cited by 1 · see citing works
Chen, E., Meng, J., & Dogan, S. (2026) · Psychology and Marketing · doi:10.1002/mar.70177 · Cited by 1 · see citing works
Phạm, M., Ha, Y. K., Nguyen, P. H., Nguyen, V. T. H., & Dinh, T. K. T. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.107218 · Cited by 1 · see citing works
Shi, W., Ramzy, M. I., & Ali, S. K. S. (2026) · African Journal of Science Technology Innovation and Development · doi:10.1080/20421338.2026.2692491 · Cited by 1 · see citing works
Are Attributions of Consciousness to AI Chatbots Epistemically Innocent?
Peters, U. (2026) · Minds and Machines · doi:10.1007/s11023-026-09795-8
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Pučko, D., & Kolar, S. (2025) · FEB International Scientific Conference · doi:10.18690/um.epf.5.2025.17
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ÇELİK, E., & KOÇER, L. L. (2025) · Erciyes University - AVESIS · doi:10.54439/gupayad.1635431
Impacto de la inteligencia artificial en el marketing digital: revisión sistemática de la literatura
Agreda, M. R. R., & Ilaita, F. A. T. (2025) · Revista de Investigación Científica de la UNF – Aypate · doi:10.57063/ricay.v4i2.154
Gültekin, D. G., Yüksel, S., Eti, S., & Dinçer, H. (2025) · Research Square · doi:10.21203/rs.3.rs-7519907/v1
The Future of Brand Experience
Basith, A., Shaikh, N. B., Ahmed, A., & Azhar, M. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5117-9.ch009
Development and Validation of the Generative Ai Engagement ScalePreprint
Zhang, D.-W., Tan, J. Y., Chew, Y. Y., Hew, L., & Choo, J. Y. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5401033
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Casaca, J. A., Caetano, F. S., & Miguel, L. P. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3693-9994-1.ch005
Benetthan, B., Winata, T. G., & Hidayat, D. (2025) · International Conference on Emerging Trends in Information Systems and Informatics (ICETISI) · doi:10.1109/icetisi67983.2025.11406008
Osei, I., Carie, A., Kanithi, L. P., & Boadu, D. O. (2026) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2026.1795513
Nguyen, T. P. L. (2026) · Future Business Journal · doi:10.1186/s43093-026-00823-8
Predicting AI adoption in research: a hybrid SEM-systematic review through an ethical lens
Miralamsi, A., & Moradi, M. (2026) · AI and Ethics · doi:10.1007/s43681-026-01114-2 · Cited by 1 · see citing works
Gültekin, D. G., Yuksel, S., Eti, S., & Dinçer, H. (2026) · Discover Psychology · doi:10.1007/s44202-026-00703-w
Fatimah, F., Tyas, W. M., & Putra, F. M. U. (2026) · Jurnal Manajerial · doi:10.30587/jurnalmanajerial.v13i02.11349
Clarifying Anthropomorphism for Robots and AI: A Critical Review
Coghlan, S., & Antonellos, M. (2026) · International Journal of Social Robotics · doi:10.1007/s12369-026-01419-6
Wu, C.-F., Lin, M., & Chiou, C. (2026) · Expert Systems · doi:10.1111/exsy.70355
Lopes, J. M., & Gomes, S. (2026) · Academia Revista Latinoamericana de Administración · doi:10.1108/arla-05-2025-0165
Self-citationWaqas, M., Altaf, S., Tariq, A., & Hameed, A. A. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-3184-1.ch010
Shafique, U., Khan, I. U., & Ayaz (2026) · Qlantic journal of social sciences. · doi:10.55737/qjss.vii-iii.26567
Artificial Intelligence in Advertising: A Scientometric and Thematic Synthesis of Four Paradoxes
AYDIN, G. A., Yardibi, F., & Talay, Ö. (2026) · Journal of Interactive Advertising · doi:10.1080/15252019.2026.2710678
Tariq, M. Z., Hussain, H., Mahmood, S., & Qadir, M. (2026) · Services Marketing Quarterly · doi:10.1080/15332969.2026.2722012
Anthropomorphism of Intelligent Chatbots in Conversational Influencer Marketing
Fezai, D. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-2600-0512-5.ch007
Barbosa, D. E., & Salas, J. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.7404235
Huynh, T. K. (2026) · International STEM Education Conference (iSTEM-Ed) · doi:10.1109/istem-ed69857.2026.11734595
Cenizo, C. (2026) · Journal of Current Issues & Research in Advertising · doi:10.1080/10641734.2026.2730396
- Authors
- Gomes, S., Lopes, J. M., & Nogueira, E.
- Affiliations
- Universidade Portucalense (PT)
- University of Beira Interior (PT)
- Corresponding author
- Lopes, João M.
- Venue
- Future Business Journal
- Published
- 2025-01-15
- Volume
- 11
- Issue
- 1
- ISSN
- 2314-7202 (ISSN-L)
- 2314-7210
- OpenAlex
- W4406358028
- Cited by
- 52
- References
- 73
- Citations by year
- 2026: 33 · 2025: 18 · 2024: 1
- FWCI
- 20.46
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Future Business Journal (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, cc-by-nc-nd)
- Funders
- NECE - Research Center in Business Sciences, University of Beira Interior (UIDB/04630/2020)
- Fundação para a Ciência e a Tecnologia (UIDB/04630/2020)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Keywords
- chatbots, customer engagement, purchase decision, customer involvement, brand marketing, digital marketing, consumer-brand interaction, customer satisfaction, consumer trust, customer loyalty
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