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

et al.

Journal of Global Information Management, Journal Year: 2024, Volume and Issue: 32(1), P. 1 - 32

Published: Dec. 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.

Language: Английский

Generative AI vs. Traditional Databases: Insights from Industrial Engineering Applications DOI Creative Commons
José E. Naranjo,

Maria M. Llumiquinga,

Washington D. Vaca

et al.

Publications, Journal Year: 2025, Volume and Issue: 13(2), P. 14 - 14

Published: March 25, 2025

This study evaluates the efficiency and accuracy of Generative AI (GAI) tools, specifically ChatGPT Gemini, in comparison with traditional academic databases for industrial engineering research. It was conducted two phases. First, a survey administered to 101 students assess their familiarity GAIs most commonly used tools field. Second, an assessment quality information provided by carried out, which 11 professors participated as evaluators. The focuses on query process, response times, accuracy, using structured methodology that includes predefined prompts, expert validation, statistical analysis. A comparative through standardized search workflows developed Bizagi tool, ensuring consistency evaluation both approaches. Results demonstrate significantly reduce times compared conventional databases, although completeness responses require careful validation. Chi-Square analysis performed statistically differences, revealing no significant disparities between tools. While offer advantages, remain essential in-depth literature searches requiring high levels precision. These findings highlight potential limitations research, providing insights into optimal application education.

Language: Английский

Citations

0
Students' mindset to adopt AI chatbots for effectiveness of online learning in higher education DOI Creative Commons
Muhammad Khalilur Rahman, Noor Azizi Ismail,

Md. Arafat Hossain

et al.

Future Business Journal, Journal Year: 2025, Volume and Issue: 11(1)

Published: March 10, 2025

Abstract The rapid incorporation of Artificial Intelligence (AI) technologies into higher education is shifting the focus toward understanding students’ perspectives and factors affecting adoption AI chatbots to maximize their use in online virtual educational environments. This study fills an important gap literature by examining direct mediated relationships key constructs such as perceived usefulness, ease use, technical competency chatbot usage. aims investigate mindsets regarding adopting for effectiveness learning education. Data were collected from 429 university students analyzed using partial least squares-based structural equation modeling (PLS-SEM) technique. results revealed that usefulness (PU), (PEU), tech (TC) have a significant impact on capability. Subjective norm (SN) has no capability significantly influences effectiveness. findings indicated mediates effect PU, PEU, TC chatbots; however, there mediating relationship between SN Facilitating conditions moderate PU research addresses new insight within context education, particularly demonstrating moderating function tech-competent concepts.

Language: Английский

Citations

0
Does AI-Generated Care-Based Message Increase Trust in Government? The Pivotal Role of AI Knowledge in Government Crisis Response DOI Creative Commons
Emily S. Zhan, Qi Zheng, Chuqing Dong

et al.

International Journal of Strategic Communication, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 24

Published: March 19, 2025

Language: Английский

Citations

0
AI State of Play: The Technology, Strategic Communication Practice and Academia DOI Creative Commons
Anne Gregory, Brian K. Smith

International Journal of Strategic Communication, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: March 18, 2025

Language: Английский

Citations

0
Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A DOI
Yinghui Huang, Weijun Wang, Jinyi Zhou

et al.

Information Processing & Management, Journal Year: 2025, Volume and Issue: 62(5), P. 104152 - 104152

Published: April 6, 2025

Language: Английский

Citations

0
Letter to the Editor The Potential Benefits and challenges of ChatGPT in Mental Health Care: A Scoping Review Dear Editor, I am writing to provide my perspective on the use of artificial intelligence (AI) in mental health care, specifically highlighting advanced language models such as ChatGPT. In this letter, we hope to draw attention to ChatGPT's potential applications in mental health support and the major challenges it poses and offer guidance on future lines of research and implementation… DOI
Giti Setoodeh,

Pooran Tavakoli

Published: April 15, 2025

UNSTRUCTURED I am writing to provide my perspective on the use of artificial intelligence (AI) in mental health care, specifically highlighting advanced language models such as ChatGPT. In this letter, we hope draw attention ChatGPT's potential applications support and major challenges it poses offer guidance future lines research implementation. Artificial (AI), particularly large (LLMs) like ChatGPT, has significantly recent years, leading new business opportunities, including [1]. Ever since, these simulating conversations between humans machines have been used for a variety psychological needs, addressing everything from grief ADHD [1-2]. Yet with increasing integration technologies healthcare, is important critically examine their benefits risks.

Language: Английский

Citations

0
Generating Credibility in Crisis: Will an AI-Scripted Response Be Accepted? DOI
Elizabeth C. Ray, Patrick Merle,

Kaylin Lane

et al.

International Journal of Strategic Communication, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 18

Published: Dec. 17, 2024

Increasingly, practitioners are using artificial intelligence (AI) to strategically monitor and respond crises. However, there is little evidence indicating whether a crisis response, disclosed as AI-scripted, will be accepted by stakeholders what effects the disclosure may have on message credibility, attribution of responsibility, acceptance, organizational reputation. Using Situational Crisis Communication Theory (SCCT), this 2 (type crisis) x (presence or absence AI label) online experiment explored how AI-generated content affects post-crisis outcomes. Participants (n = 238) were randomly assigned vignette featuring victim (e.g. shooting) accidental data breach) cluster detailed response that either did not disclose was AI-generated. Results revealed no effect credibility responsibility. acceptance served mediator between responsibility This study contributes SCCT provides contextual for who considering responses. Ethical implications future directions discussed.

Language: Английский

Citations

1
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

et al.

Journal of Global Information Management, Journal Year: 2024, Volume and Issue: 32(1), P. 1 - 32

Published: Dec. 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.

Language: Английский

Citations

0