Social robots: Partner or intruder in the home? The roles of self-construal, social support, and relationship intrusion in consumer preference DOI
Yaping Chang, Yajie Gao,

Donghong Zhu

et al.

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 197, P. 122914 - 122914

Published: Oct. 6, 2023

Language: Английский

Can you sense without being human? Comparing virtual and human influencers endorsement effectiveness DOI
Huajun Li, Yueqiu Lei, Qi Zhou

et al.

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 75, P. 103456 - 103456

Published: June 15, 2023

Language: Английский

Citations

71

How social anxiety leads to problematic use of conversational AI: The roles of loneliness, rumination, and mind perception DOI
Bo Hu, Yuanyi Mao, Ki Joon Kim

et al.

Computers in Human Behavior, Journal Year: 2023, Volume and Issue: 145, P. 107760 - 107760

Published: March 24, 2023

Language: Английский

Citations

59

Consumer–machine relationships in the age of artificial intelligence: Systematic literature review and research directions DOI
Iryna Pentina, Tianling Xie, Tyler Hancock

et al.

Psychology and Marketing, Journal Year: 2023, Volume and Issue: 40(8), P. 1593 - 1614

Published: June 2, 2023

Abstract Recent advancements in artificial intelligence (AI) and the emergence of AI‐based social applications market have propelled research on possibility consumers developing relationships with AI. Motivated by diversity approaches inconsistent findings this emerging stream, systematic literature review analyzes 37 peer‐reviewed empirical studies focusing human–AI published between 2018 2023. We identify three major theoretical domains (social psychology, communication media studies, human–machine interactions) as foundations for conceptual development, detail theories used reviewed papers. Given radically new nature AI innovation, we recommend a novel approach that would synergistically utilize cross‐disciplinary literature. Analysis methodology indicates quantitative dominate while qualitative, longitudinal, mixed‐method are infrequently. Examination models variables suggests need to reconceptualize factors processes relationship, such agency, autonomy, authenticity, reciprocity, empathy, better correspond context. Based our analysis, propose an integrative framework offer directions future incorporate develop comprehensive theory human ‐ relationships, explore nomological networks its key constructs, implement methodological variety triangulation.

Language: Английский

Citations

58

Artificial intelligence in interactive marketing: a conceptual framework and research agenda DOI
James W. Peltier, Andrew J. Dahl, John A. Schibrowsky

et al.

Journal of Research in Interactive Marketing, Journal Year: 2023, Volume and Issue: 18(1), P. 54 - 90

Published: July 26, 2023

Purpose Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI it may mutually benefit consumers firms. In this paper, the authors conduct an extensive review literature, develop framework for value co-creation in buyer–seller relationships, identify research gaps offer future agenda. Design/methodology/approach The first literature 16 top journals on AI. Based review, relationships was conceptualized. Findings led to number key findings summary areas: (1) historical perspective, (2) definitions boundaries AI, (3) marketing, (4) relevant theories domain (5) synthesizing based antecedents usage, usage contexts AI-enabled outcomes. Originality/value This one reviews including evaluation excess or 300 conceptual empirical research. findings, agenda, visual titled “What Interactive Marketing? design factors, core elements & contexts.”

Language: Английский

Citations

56

Personality Traits in Large Language Models DOI Creative Commons
Gregory Serapio‐García, Mustafa Safdari,

Clément Crepy

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Aug. 28, 2023

Abstract The advent of large language models (LLMs) has revolutionized natural processing, enabling the generation coherent and contextually relevant text. As LLMs increasingly power conversational agents, synthetic personality embedded in these models, by virtue training on amounts human data, is becoming important. Since a key factor determining effectiveness communication, we present comprehensive method for administering validating tests widely-used LLMs, as well shaping generated text such LLMs. Applying this method, found: 1) measurements outputs some under specific prompting configurations are reliable valid; 2) evidence reliability validity LLM stronger larger instruction fine-tuned models; 3) can be shaped along desired dimensions to mimic profiles. We discuss application ethical implications measurement particular regarding responsible use

Language: Английский

Citations

55

Consumer engagement in chatbots and voicebots. A multiple-experiment approach in online retailing context DOI
Kumar Rohit, Amit Shankar, Gagan Katiyar

et al.

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 78, P. 103728 - 103728

Published: Jan. 26, 2024

Language: Английский

Citations

23

More polite, more immoral: how does politeness in service robots influence consumer moral choices? DOI
Xuebing Dong, Г. И. Зверева, Xin Wen

et al.

Service Industries Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 33

Published: Feb. 25, 2025

Language: Английский

Citations

2

The nonlinear effect of service robot anthropomorphism on customers’ usage intention: A privacy calculus perspective DOI

Lishan Xie,

Shaohui Lei

International Journal of Hospitality Management, Journal Year: 2022, Volume and Issue: 107, P. 103312 - 103312

Published: Aug. 17, 2022

Language: Английский

Citations

59

Examining the effects of authenticity fit and association fit: A digital human avatar endorsement model DOI
Jian Li, Jinsong Huang, Yaqi Li

et al.

Journal of Retailing and Consumer Services, Journal Year: 2022, Volume and Issue: 71, P. 103230 - 103230

Published: Dec. 18, 2022

Language: Английский

Citations

59

The future of digital technologies in marketing: A conceptual framework and an overview DOI Open Access
Kirk Plangger, Dhruv Grewal, Ko de Ruyter

et al.

Journal of the Academy of Marketing Science, Journal Year: 2022, Volume and Issue: 50(6), P. 1125 - 1134

Published: Oct. 24, 2022

Language: Английский

Citations

55