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

Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamism DOI Creative Commons
Kuldeep Singh, Sheshadri Chatterjee, Marcello M. Mariani

et al.

Technovation, Journal Year: 2024, Volume and Issue: 133, P. 103021 - 103021

Published: April 23, 2024

Generative Artificial Intelligence (GenAI) is one of the popular AI technologies which can produce multiple kinds contents including music, text, image, as well synthetic data. As GenAI technology various forms contents, organizations must face ethical dilemmas to where this likely be used. Organizations do not want compromise their standards and compliance policies. Against backdrop, aim study examine if could improve future performance organizations. This deployed environmental dynamism two moderators acting on different linkages between adoption organizational performance. With help literature review theories, a theoretical model has been developed conceptually was validated using PLS-SEM technique with feedback 326 responses from types found that exploratory exploitative innovation under moderating effects dilemmas. Moreover, it highlighted application

Language: Английский

Citations

20

ChatGPT adoption and its influence on faculty well-being: An empirical research in higher education DOI Creative Commons
Jesús Cambra‐Fierro, María Fuentes Blasco,

María-Eugenia Eugenia López-Pérez

et al.

Education and Information Technologies, Journal Year: 2024, Volume and Issue: unknown

Published: July 4, 2024

Abstract Rapid technological advancements of recent decades have fueled, among other aspects, a global boom in the utilization artificial intelligence (AI) tools across variety areas. Higher education, like domains, has embraced these innovations, with ChatGPT emerging as one latest additions. Faculty perception, ability, and willingness to adopt new remain fundamental factors understanding their proliferation adoption. However, it’s equally important strike balance between reaping benefits technology safeguarding well-being faculty members. Against this backdrop, study assesses impact series on adoption university members, taking reference Technology Acceptance Model (TAM). Additionally, we analyze well-being. All hypotheses are tested using covariance-based structural equation modeling (CB-SEM). The findings highlight positive influence perceived usefulness, ease use enjoyment Moreover, seems boost faculty’ happiness energy, while diminishing stress levels. Theoretical practical implications discussed last section.

Language: Английский

Citations

15

ChatGPT integration within nursing education and its implications for nursing students: A systematic review and text network analysis DOI
Joko Gunawan,

Yupin Aungsuroch,

Jed Montayre

et al.

Nurse Education Today, Journal Year: 2024, Volume and Issue: 141, P. 106323 - 106323

Published: July 26, 2024

Language: Английский

Citations

12

The Dark Sides of AI Advertising: The Integration of Cognitive Appraisal Theory and Information Quality Theory DOI
Luan-Thanh Nguyen, Tri-Quan Dang, Đặng Thị Việt Đức

et al.

Social Science Computer Review, Journal Year: 2024, Volume and Issue: unknown

Published: June 7, 2024

Artificial intelligence (AI) is a collection of rapidly evolving disruptive technologies that radically alter various aspects people, business, society, and the environment. AI increasingly provides significant advertising opportunities for society business organizations. However, could be used to spread disinformation if it were deliberately programmed produce misleading content. Using cognitive appraisal theory information quality study how consumers assess threats develop marketing coping strategies from generated by AI, this examines outcome dark side advertising. We collected data 451 AI-advertising users in Vietnam. The results based on PLS-SEM showed interesting novelty results. statistical analysis negative correlation between contextual, representational, accessibility, threat appraisals. There was also statistically positive Threat appraisals positively correlated with anger anxiety but not loneliness. Coping negatively or This advances management.

Language: Английский

Citations

9

Exploring consumer intentions to continue: Integrating task technology fit and social technology fit in generative AI based shopping platforms DOI
Debarun Chakraborty, Ciro Troise, Stefano Bresciani

et al.

Technovation, Journal Year: 2025, Volume and Issue: 142, P. 103189 - 103189

Published: Feb. 12, 2025

Language: Английский

Citations

1

Gen-AI’s effects on new value propositions in business model innovation: Evidence from information technology industry DOI Creative Commons
Dequn Teng, Chen Ye, Veronica Martinez

et al.

Technovation, Journal Year: 2025, Volume and Issue: 143, P. 103191 - 103191

Published: March 15, 2025

Language: Английский

Citations

1

Generative artificial intelligence (GenAI) and entrepreneurial performance: implications for entrepreneurs DOI
Ailing Liu, Shaofeng Wang

The Journal of Technology Transfer, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 16, 2024

Language: Английский

Citations

7

Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms DOI
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Keng‐Boon Ooi

et al.

Computers in Industry, Journal Year: 2024, Volume and Issue: 161, P. 104128 - 104128

Published: July 21, 2024

Language: Английский

Citations

5

Predictive Analytics Solution for Digital Capabilities Identification Towards Business Performance Improvement DOI Creative Commons
Iman Raeesi Vanani, Mohammad Taghi Taghavifard, Mohammad Amin Yalpanian

et al.

SN Computer Science, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 20, 2025

Language: Английский

Citations

0

Generative artificial intelligence in tourism management: An integrative review and roadmap for future research DOI
Hengyun Li, Jianpu Xi, Cathy H.C. Hsu

et al.

Tourism Management, Journal Year: 2025, Volume and Issue: 110, P. 105179 - 105179

Published: March 31, 2025

Language: Английский

Citations

0