Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots DOI Open Access
Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Hossana Twinomurinzi

и другие.

Journal of Global Information Management, Год журнала: 2024, Номер 32(1), С. 1 - 32

Опубликована: Дек. 28, 2024

Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors related to trust, perceived values, satisfaction, sustainable of GenAI chatbots. Relying on IS theories build a stimulus-organism-response model, authors tested model using PLS-SEM data from 393 ChatGPT users. The results show that user competence autonomy dramatically increase user's trust in ChatGPT, improves hedonic value (HV), utilitarian (UV), value-in-use, task-technology fit (TTF), information accuracy, knowledge acquisition, informativeness, satisfaction. In addition satisfaction depends HV, UV, TTF. sustainability HV However, privacy concerns, risks, awareness do not affect consumer trust. There is complete mediation between sustainability, as well sustainability.

Язык: Английский

Reassessing the Constructs Related to Technology Adoption Theories in the Global Marketing Domain in Light of the Emergence of GenAI DOI
Demetris Vrontis, Ranjan Chaudhuri, Sheshadri Chatterjee

и другие.

Journal of Global Marketing, Год журнала: 2024, Номер 37(5), С. 357 - 378

Опубликована: Окт. 9, 2024

The purpose of this study is to understand the opportunities and challenges for global marketing field due emergence generative artificial intelligence need reassess constructs related technology adoption theories. Given that so recent, there a investigate aspect. This explores influence AI on various from ten theories, models, approaches as they relate domain. research excludes other psychological cross-cultural theories unique its wide range implications toward in initiatives because GenAI can assess consumer sentiment, which helps marketers make accurate decisions.

Язык: Английский

Процитировано

0

The effectiveness of Gen AI in assisting students’ knowledge construction in humanities and social sciences courses: learning behaviour analysis DOI
Shuai He, Yu Lu

Interactive Learning Environments, Год журнала: 2024, Номер unknown, С. 1 - 22

Опубликована: Окт. 22, 2024

Currently, generative AI has undergone rapid development. Numerous studies have attested to the benefits of Gen in programming, mathematics and other disciplines. However, since mostly uses English as intrinsic training parameter, it is more effective facilitating teaching courses that use international common notation, but few scholars researched fitness AI-assisted humanities Chinese-language environments. To address these gaps, this study examined learning behaviours 30 students using help them answer questions on economic law tests Lag Sequential Analysis. The results show following: (1) aid an course did not significantly improve cognitive level academics from perspective knowledge construction. (2) According characteristics students' behavioural paths via learning, their patterns can be classified into autonomous innovative, moderate, lacking innovation. (3) Different modes when was used affected final results, which were follows: High-performing favoured innovative pattern, medium-performing moderate low-performing innovation pattern.

Язык: Английский

Процитировано

0

Why Should Users Take the Risk of Sustainable Use of Generative Artificial Intelligence Chatbots DOI Open Access
Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Hossana Twinomurinzi

и другие.

Journal of Global Information Management, Год журнала: 2024, Номер 32(1), С. 1 - 32

Опубликована: Дек. 28, 2024

Despite the risks associated with generative AI (GenAI) chatbots, people increasingly use these technologies, which may seem contradictory. This study identified and explored factors related to trust, perceived values, satisfaction, sustainable of GenAI chatbots. Relying on IS theories build a stimulus-organism-response model, authors tested model using PLS-SEM data from 393 ChatGPT users. The results show that user competence autonomy dramatically increase user's trust in ChatGPT, improves hedonic value (HV), utilitarian (UV), value-in-use, task-technology fit (TTF), information accuracy, knowledge acquisition, informativeness, satisfaction. In addition satisfaction depends HV, UV, TTF. sustainability HV However, privacy concerns, risks, awareness do not affect consumer trust. There is complete mediation between sustainability, as well sustainability.

Язык: Английский

Процитировано

0