2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 3858 - 3864
Опубликована: Дек. 15, 2024
Язык: Английский
2021 IEEE International Conference on Big Data (Big Data), Год журнала: 2024, Номер unknown, С. 3858 - 3864
Опубликована: Дек. 15, 2024
Язык: Английский
Journal of Business Research, Год журнала: 2024, Номер 180, С. 114720 - 114720
Опубликована: Май 23, 2024
Язык: Английский
Процитировано
35Computers in Human Behavior Artificial Humans, Год журнала: 2025, Номер unknown, С. 100123 - 100123
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Journal of Consumer Psychology, Год журнала: 2025, Номер unknown
Опубликована: Март 16, 2025
Язык: Английский
Процитировано
1Behavioral Science & Policy, Год журнала: 2025, Номер unknown
Опубликована: Фев. 8, 2025
Researchers are testing the feasibility of using artificial intelligence tools known as large language models to create synthetic research participants—artificial entities that respond surveys real humans would. Thus far, this has largely not been designed examine whether participants could mimic human answers policy-relevant or reflect views people from non-WEIRD (Western, educated, industrialized, rich, and democratic) nations. Addressing these gaps in one study, we have compared participants’ responses survey questions three domains: sustainability, financial literacy, female participation labor force. Participants were drawn United States well two nations previously included studies respondents: Kingdom Saudi Arabia Arab Emirates. We found for all nations, created by GPT-4, a form model, on average produced reasonably similar those their counterparts. Nevertheless, observed some differences between American participants: For latter, correlations full set tended be weaker. In addition, although common tendency countries show more positive less negative bias (that is, progressive financially literate relative counterparts), trend was pronounced participants. discuss main policy implications our findings offer practical recommendations improving use research.
Язык: Английский
Процитировано
0Psychology and Marketing, Год журнала: 2025, Номер unknown
Опубликована: Март 1, 2025
ABSTRACT Brands are increasingly investing in fostering consumer engagement with their social media pages to strengthen consumer–brand relationships, ultimately aiming generate positive electronic word‐of‐mouth (eWOM). Brands' marketing budgets could be used more effectively if they were tailor strategies consumers' characteristics, including relevant personality traits, such as extraversion. However, the role of extraversion driving eWOM through brand page remains underexplored. Drawing on identity theory, cultivation and trait theory personality, this paper integrates findings from two studies—a cross‐sectional survey an experiment—conducted among users world's most popular networking site (i.e., Facebook). The results show that passive active have distinct impacts eWOM, thereby highlighting mediating self‐brand connection extent which consumers incorporate a into self‐concept), extraversion's dual both antecedent moderator. Our provide managers valuable guidance by differing impact activities introverts versus extraverts.
Язык: Английский
Процитировано
0Journal of Consumer Psychology, Год журнала: 2025, Номер unknown
Опубликована: Март 16, 2025
Язык: Английский
Процитировано
0Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 85, С. 104278 - 104278
Опубликована: Март 28, 2025
Язык: Английский
Процитировано
0Service Industries Journal, Год журнала: 2025, Номер unknown, С. 1 - 22
Опубликована: Март 28, 2025
Язык: Английский
Процитировано
0Journal of the Academy of Marketing Science, Год журнала: 2025, Номер unknown
Опубликована: Апрель 11, 2025
Язык: Английский
Процитировано
0Human Relations, Год журнала: 2025, Номер unknown
Опубликована: Апрель 11, 2025
Artificial intelligence (AI) has become part and parcel of scientific knowledge production since the latest iterations generative AI models (e.g., ChatGPT, DeepSeek, Claude, or Gemini) became widely available. Given rapidly evolved initial release ChatGPT in 2022, researching how AI’s capabilities impact organizations researchers make use tools can be likened to a moving target. In this editorial essay, we explore implications introduction context academic research, both as subject investigation (i.e., research on AI) tool facilitate writing, data generation, peer review process with AI). Specifically, concerning AI, consider issues around clarity regarding existing definitions concepts literature these are influenced by rapid technological evolution capabilities. regard reflect advantages disadvantages discuss Human Relations Usage Policy . Overall, our aim is not overly prescriptive conduct but encourage authors best capture target their endeavors.
Язык: Английский
Процитировано
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