Acta Psychologica, Journal Year: 2025, Volume and Issue: 256, P. 105030 - 105030
Published: April 25, 2025
Language: Английский
Technology in Society, Journal Year: 2023, Volume and Issue: 74, P. 102333 - 102333
Published: July 25, 2023
Language: Английский
Citations
63
Journal of Research in Interactive Marketing, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 27, 2025
Purpose This study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral explores their impact chatbot deployment in interactive marketing. The goal was to understand engagement dynamics provide insights for enhancing marketing strategies interactions with chatbots. Design/methodology/approach Using analysis, this research examined the nature scope discussions surrounding methodological approach allowed a nuanced understanding predominant neutral, expressed by users providing into interaction patterns. Findings findings reveal diverse range sentiments toward ChatGPT 3, reflecting varying degrees acceptance skepticism. These varied are crucial organizations shaping strategies, particularly how they deploy brand interaction. Practical implications Trust positive ChatGPT, platforms like Reddit, suggest it is becoming part everyday life. However, concerns about its human jobs lack emotional intelligence persist. Users still weigh benefits drawbacks negative these worries. For marketers, presents an opportunity differentiate customer-facing roles. Addressing risks ethical AI, marketers can better engage consumers refine future deployments, ensuring enhances rather than detracts from customer experience. Originality/value paper makes unique contribution existing literature demonstrating perceptions, mere acceptance, directly influence strategic use By offers deeper social media that campaigns enhance emerging technologies digital landscape.
Language: Английский
Citations
4
Behavioral Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 117 - 117
Published: Jan. 23, 2025
Artificial intelligence (AI) chatbots have been widely adopted in customer service, playing a crucial role improving service efficiency, enhancing user experience, and elevating satisfaction levels. Current research on the impact of consumers’ purchase decisions primarily focuses linguistic communication features, with limited exploration into non-verbal social cues employed by chatbots. By conducting three scenario-based experiments, this study investigates mechanisms through which chatbot response strategies (proactive vs. reactive) use emojis (yes no) influence users’ intention. The findings suggest that proactive are more effective strengthening intention compared to reactive strategies. Psychological distance performance expectancy serve as significant mediators relationship. Additionally, moderates effect psychological distance, while its moderating is not significant. This offers new insights chatbots, revealing underlying contributing evidence visual symbols factors. Furthermore, provide practical recommendations for businesses optimizing interaction enhance experience.
Language: Английский
Citations
2
Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 76, P. 103599 - 103599
Published: Oct. 18, 2023
Language: Английский
Citations
30
Psychology and Marketing, Journal Year: 2023, Volume and Issue: 40(11), P. 2186 - 2200
Published: June 27, 2023
Abstract Artificial intelligence (AI) chatbots and human employees have emerged as the dominant forms of online customer service. However, existing research rarely connects service differences between them in terms product type, ignoring interactivity two. This study reveals effect matching type (AI chatbot vs. human) to (search experience) on consumers' purchase intentions through four experiments, revealing psychological mechanism boundary condition for existence this effect. It shows that (1) match positively affects intentions; (2) is mediated by processing fluency perceived quality; (3) works only when demand certainty low. These findings enrich theoretical service, provide marketing insights companies improve adoption AI employees.
Language: Английский
Citations
29
Telematics and Informatics, Journal Year: 2023, Volume and Issue: 86, P. 102071 - 102071
Published: Nov. 17, 2023
Language: Английский
Citations
29
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 78, P. 103779 - 103779
Published: March 7, 2024
Language: Английский
Citations
16
Information Technology and People, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 24, 2025
Purpose This study investigates the impact of emoji use and user personality traits (conscientiousness vs extraversion) on behavior in context academic advising. It uniquely considers interaction between these chatbot characteristics human users' dominant extraversion). Design/methodology/approach A mixed-factor design experiment involving 153 university students was employed. Participants interacted with four different conditions: a conscientious bot an extroverted bot, each without emojis. Findings The inclusion emojis negatively influenced intentions to chatbots but did not affect trust, perceived authenticity or intended engagement bots. Additionally, students' played role evaluating types. Originality/value research introduces novel approach by integrating into communication, focusing examines effects behavior, also considering user’s traits. work enriches human-computer field guides future development.
Language: Английский
Citations
1
Computers in Human Behavior, Journal Year: 2025, Volume and Issue: unknown, P. 108606 - 108606
Published: Feb. 1, 2025
Language: Английский
Citations
1
Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104257 - 104257
Published: Feb. 13, 2025
Language: Английский
Citations
1