DH{}DataHunter

Набор данных из Zenodo · Rini Setiawati

From AI Readiness to Innovative Work Behavior: The Sequential Mediating Roles of Human-AI Collaboration and AI Self-Efficacy

Открыть на Zenodo
Лицензия
CC BY 4.0можно в коммерцииТекст лицензии
Лицензия разрешает коммерческое использование. Обычно нужно указать автора — точные условия в тексте лицензии.
Форматы
XLSX
Размер
1,4 МБ
Обновлён
21 авг. 2026 г.

Описание

The increasing use of artificial intelligence (AI) in the workplace has transformed the way employees complete tasks, solve problems, and generate innovative ideas. However, AI readiness does not necessarily lead directly to innovative work behavior, so an understanding of the mechanisms linking the two is needed. This study aims to analyze the effect of AI readiness on innovative work behavior through the sequential mediating roles of human-AI collaboration and AI self-efficacy. The study employed a quantitative approach with a cross-sectional design involving 200 employees in Indonesia who had been using AI to support their work for at least three months. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that AI readiness has a positive effect on innovative work behavior and human-AI collaboration. Human-AI collaboration has a positive effect on AI self-efficacy and innovative work behavior, while AI self-efficacy also has a positive effect on innovative work behavior. Furthermore, human-AI collaboration was found to mediate the relationship between AI readiness and innovative work behavior. The sequential mediation effect…

Описание из Zenodo, сокращённое.

Файлы (3)

  • XLSXalgoritme.xlsx257 кБ
  • XLSXbootstriping.xlsx1,2 МБ
  • XLSXDATA .xlsx21 кБ

DataHunter не хранит и не раздаёт эти файлы: каждая ссылка ведёт к первоисточнику. Перед использованием проверьте там лицензию.

Найти другие наборы