Nisrina Ainul Kamila Ariyanti
Universitas Trunodjoyo Madura

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Peran Kecerdasan Buatan (AI) dalam Mendukung Proses Pengambilan Keputusan Kepemimpinan Delia Septi Catur Farawati; Nisrina Ainul Kamila Ariyanti; Nawfal Faiz Abyaz; Mochammad Isa Anshori
Jurnal Pemimpin Bisnis Inovatif Vol. 4 No. 2 (2026): April: Jurnal Pemimpin Bisnis Inovatif
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jpbi.v3i2.1323

Abstract

The advancement of digital technology has significantly transformed organizational decision-making, particularly in modern leadership contexts that demand rapid and data-driven responses. Artificial Intelligence(AI) has emerged as a strategic technology capable of enhancing accuracy, speed, and effectiveness in decision-making through comprehensive data analysis. This study aims to analyze the role of AI in supporting leadership decision-making and its implications for organizational effectiveness using a narrative literature review approach. Secondary data comprising peer-reviewed national and international journal articles were analyzed to identify patterns, themes, and interactions between AI, leadership, and decision-making processes. The findings indicate that AI functions not only as a data analysis tool but also as a strategic element that strengthens leaders’ capabilities in evidence-based decision-making, improves team coordination, and optimizes organizational processes. Thematic synthesis identified three main domains analytics and predictive capabilities, leadership strategies, and implementation challenges that form the basis for integrating AI into managerial practice. This study contributes theoretically by expanding the digital leadership and technology-based decision-making framework and practically by providing guidance for organizations to optimize AI utilization to enhance decision quality and efficiency. The research also offers directions for future empirical studies to explore AI-leadership interactions across various organizational sectors, supporting more adaptive, effective, and data-driven decision-making in the digital era.
Peran Talenta Kecerdasan Buatan dalam Membangun Keunggulan Kompetitif: (Sebuah Tinjauan Literatur Sistematis) Delia Septi Catur Farawati; Melinda Kusuma Putri; Nisrina Ainul Kamila Ariyanti; Ananda Celosia; Mochammad Isa Anshori
Jurnal Pemimpin Bisnis Inovatif Vol. 4 No. 4 (2026): Oktober : Jurnal Pemimpin Bisnis Inovatif
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jpbi.v4i4.1762

Abstract

The rapid development of artificial intelligence (AI) has transformed organizational processes and increased the demand for talent with specialized knowledge and skills to integrate AI into business activities. This study aims to examine the role of artificial intelligence talent in building organizational competitive advantage. The research employs a systematic literature review (SLR) by identifying, evaluating, and synthesizing relevant national and international studies on AI talent, AI skills, human capital, innovation, organizational performance, and competitive advantage. The findings indicate that AI talent contributes to competitive advantage through innovation, productivity improvement, data-driven decision-making, knowledge utilization, and organizational AI capabilities. Furthermore, AI talent requires not only technical expertise but also analytical, collaborative, and business-oriented competencies. Theoretically, this study positions AI talent as a strategic human capital resource within the Resource-Based View and Dynamic Capabilities perspectives. Practically, the findings emphasize the importance of strategic recruitment, continuous upskilling and reskilling, and knowledge sharing to optimize AI talent. Overall, AI talent plays an important role in transforming technological capabilities into sustainable competitive advantage.