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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Zhang, A., Loureiro, S. M. C. & Guerreiro, J. M. (2023). Uncovering the research on the artificial intelligence-human relationship. In Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T. (Ed.), 2023 Global Marketing Conference at Seoul Proceedings . (pp. 699-704). Seoul, Republic of Korea: Global Alliance of Marketing and Management Associations.
Exportar Referência (IEEE)
A. Zhang et al.,  "Uncovering the research on the artificial intelligence-human relationship", in 2023 Global Marketing Conf. at Seoul Proc. , Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T., Ed., Seoul, Republic of Korea, Global Alliance of Marketing and Management Associations, 2023, pp. 699-704
Exportar BibTeX
@inproceedings{zhang2023_1734890001323,
	author = "Zhang, A. and Loureiro, S. M. C. and Guerreiro, J. M.",
	title = "Uncovering the research on the artificial intelligence-human relationship",
	booktitle = "2023 Global Marketing Conference at Seoul Proceedings ",
	year = "2023",
	editor = "Rust, R. T., Peres, R., Robinson, L., Nishio, C., and Garrett, T.",
	volume = "",
	number = "",
	series = "",
	doi = "10.15444/GMC2023.08.07.02",
	pages = "699-704",
	publisher = "Global Alliance of Marketing and Management Associations",
	address = "Seoul, Republic of Korea",
	organization = "",
	url = "http://gmcproceedings.net/index.html"
}
Exportar RIS
TY  - CPAPER
TI  - Uncovering the research on the artificial intelligence-human relationship
T2  - 2023 Global Marketing Conference at Seoul Proceedings 
AU  - Zhang, A.
AU  - Loureiro, S. M. C.
AU  - Guerreiro, J. M.
PY  - 2023
SP  - 699-704
DO  - 10.15444/GMC2023.08.07.02
CY  - Seoul, Republic of Korea
UR  - http://gmcproceedings.net/index.html
AB  - Artificial intelligence (AI) technology is recognized as essential in the 4th industrial revolution (Schwab, 2017), which is capable of interacting with the environment and processing and transforming data information to inform goal-directed behavior (Paschen, Kietzmann, & Kietzmann, 2019). Due to the advances in intelligent systems and the incorporation of AI agents in smart devices, more than eight billion digital voice assistants will be used globally by 2024 (Thormundsson, 2022; Gilkson & Woolley, 2020). For successful and positive consumer-brand relationships, constructs such as trust, satisfaction, and commitment are vital (Garbarino & Johnson, 1999; Nyadzayo & Khajehzadehb, 2016). Unlike humans, Artificial intelligence agents could achieve relationship marketing engagement by encouraging users to anthropomorphize the other parties in their technology-mediated interactions, such as applications like chatbots, virtual assistants, and service robots (Steinhoff et al., 2019). Those applications can also use humanoid traits to engage customers in organizations (van Doorn et al., 2017).
ER  -