Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
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This Author published in this journals
All Journal Journal of Artificial Intelligence and Development
Nova Krisnawati
IAIN Kediri, Indonesia
Computer Science & IT Environmental Science Mathematics Social Sciences Other

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The Future of Leadership: Integrating AI Technology in Management Practices Loso Judijanto; Asfahani Asfahani; Nova Krisnawati
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v1i2.344

Abstract

With the rapid advancement of artificial intelligence (AI) technology, organizations face a paradigm shift in leadership and management practices. This research aims to explore the integration of AI technology in leadership, focusing on its impact, challenges, and opportunities. This research uses a systematic literature review (SLR) method; this research synthesizes existing knowledge and identifies key findings regarding the role of AI in decision-making, ethical considerations, organizational readiness, and required leadership skills. These findings highlight the potential benefits of AI in improving decision-making processes and organizational efficiency while emphasizing the importance of addressing ethical issues, improving organizational readiness, and developing new leadership competencies. This research contributes to understanding the future leadership landscape in AI technology integration.
Industrial Revitalization with AI between Opportunities and Challenges for Global Economic Growth Loso Judijanto; Asfahani Asfahani; Anjana Prusty; Nova Krisnawati; Asri Ady Bakri
Journal of Artificial Intelligence and Development Vol. 4 No. 1 (2025): Journal of Artificial Intelligence and Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v4i1.340

Abstract

This study investigates the Industrial Revitalization with AI, exploring both the opportunities and challenges it presents for global economic growth. The aim is to provide a comprehensive understanding of AI's role in reshaping industries, the methods used in the study include qualitative research methods such as in-depth interviews with industry leaders, technology experts, and stakeholders. The findings highlight the significant potential of AI in enhancing productivity and innovation across various sectors, while also emphasizing the need for addressing concerns such as job displacement, data privacy, and regulatory frameworks. In conclusion, the study underscores the transformative impact of AI on industrial revitalization, emphasizing the importance of responsible AI deployment and collaborative efforts for sustainable economic growth.
Optimization of Organizational Performance by Utilization of AI for Strategic Management Insights Loso Judijanto; Asfahani Asfahani; Syamsul Muqorrobin; Nova Krisnawati
Journal of Artificial Intelligence and Development Vol. 4 No. 1 (2025): Journal of Artificial Intelligence and Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v4i1.345

Abstract

In response to the complexities of modern markets, organizations are increasingly turning to Artificial Intelligence (AI) as a transformative tool for enhancing strategic decision-making and organizational performance. This study investigates the impact of AI utilization on optimizing organizational performance within strategic management. A qualitative research method was employed, utilizing semi-structured interviews to gather insights from key organizational informants. The findings highlight the significant role of organizational culture, leadership support, and collaborative approaches in maximizing AI's potential for agility, informed decision-making, and competitive advantage. The analysis contributes to a deeper understanding of AI's implications for strategic management and underscores the importance of holistic approaches in leveraging AI for sustained performance enhancement.
Co-Authors Anjana Prusty Asfahani Asfahani Asri Ady Bakri Loso Judijanto Syamsul Muqorrobin