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

العوامل المؤثرة على مخاوف الخصوصية لمستخدمى روبوت الدردشة ودورها فى التجنب السلوكى والإفصاح عن المعلومات DOI Open Access

نرمين أحمد عبد المنعم السعدني

مجلة جامعة الإسکندرية للعلوم الإدارية, Год журнала: 2024, Номер 61(3), С. 209 - 272

Опубликована: Июнь 13, 2024

تهدف الدراسة إلى تقديم إطار شامل للعوامل المؤثرة على شعور العملاء بمخاوف الخصوصية من استخدام روبوت الدردشة في الخدمة البنكية، وتأثير تلك المخاوف التجنب السلوكي والإفصاح عن المعلومات. تم جمع البيانات باستخدام قائمة استقصاء، وتوزيعها عينة منتظمة بلغت )365) عميل عملاء البنوك العاملة مصر التى تقدم الخدمة. أظهرت النتائج التي الحصول عليها اسلوب نمذجة المعادلات الهيكلية، دعماً لمعظم فروض الدراسة. وجه التحديد، كان هناك تأثير إيجابي لكل القلق التكنولوجى، الألفة مع الدردشة، التحكم فى المعلومات، حساسية توافرالتشريعات والقوانين الحكومية، الأدوات التكنولوجية لدعم الخصوصية، الحاجة للتفاعل البشرى مخاوف الخصوصية. بينما لم يظهر للرعاية الأخلاقية التنظيمية للخصوصية كما أثرت تأثيراً إيجابياً السلوكي، وسلبياً الإفصاح

Процитировано

0

The Psychology of Generative AI in Higher Education: Mapping Benefits and Risks DOI Creative Commons
Maciej Kościelniak, Maksymilian Bielecki

Опубликована: Дек. 16, 2024

In this review, we discuss the psychological aspects of using generative AI and Large Language Models (LLMs) in higher education. Although these technologies may appear unprecedented, argue that they align with recurring _Sisyphean Cycle Technology Panic_: a well-documented phenomenon characterized by fear skepticism toward major technological changes. Our primary focus is on dimensions LLM accessibility for educators students, which are often overlooked favor technological, legal, or economic considerations. We identify examine ten key areas relevant to use academia: accessibility, ethical judgments, determinants trust AI, cognitive offloading, biases, creativity, social relationships, educational motivation, well-being, potential clinical risks. provide balanced analysis each areas, considering benefits risks associated integrating algorithms into academic practices. emphasize necessity addressing both perspectives when implementing solutions education suggest directions future research. believe review offers comprehensive overview implications contexts.

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