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All Journal Journal Of Business, Finance, and Economics (JBFE) Jurnal Atma Inovasia Maslahah: Jurnal Manajemen dan Ekonomi Syariah E-Prosiding Seminar Nasional Manajemen dan Akuntansi STIE Semarang (SENMAS) Anggaran: Jurnal Publikasi Ekonomi dan Akuntansi Jurnal Strategi Bisnis Teknologi Jurnal Pemimpin Bisnis Inovatif Jukerdi: Jurnal Kewirausahaan Cerdas Dan Digital
Rowiyani Rowiyani
Institut Teknologi Statistika dan Bisnis Muhammadiyah Semarang
Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences Other

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Artificial Intelligence Adoption and Analytical Capabilities as Strategies for Improving Decision-Making Quality and Organizational Performance in the Digital Era Rowiyani Rowiyani; Alfin Muslikhun; Mukhlidin Mukhlidin
Jurnal Pemimpin Bisnis Inovatif Vol. 3 No. 2 (2025): 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.v3i2.1617

Abstract

Artificial intelligence has become an important organizational resource for improving information processing, managerial decisions, and business performance. This study examines the effects of AI adoption and analytical capabilities on organizational performance through the mediating role of decision-making quality. A quantitative explanatory design was employed involving 200 managers and employees from digitally oriented organizations selected through purposive sampling. Data were collected using a five-point Likert-scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling. The results indicate that AI adoption and analytical capabilities positively influence decision-making quality and organizational performance. Analytical capabilities demonstrate the strongest influence on decision-making quality, while decision-making quality significantly improves organizational performance. The mediation analysis confirms that decision-making quality partially mediates the relationships between AI adoption, analytical capabilities, and organizational performance. These findings demonstrate that technological investment alone is insufficient to generate optimal organizational outcomes. Organizations should combine AI implementation with analytical competency development, effective data governance, managerial judgment, and employee training. This integrated approach can strengthen organizational decision-making and support sustainable performance in digitally oriented business environments.  
Co-Authors Adi Lukman Hakim Alfin Muslikhun Chelsea Olivia Fiqih Merisa Dzulhijjah Dzulhijjah Eko Pujiatmoko Fadhilah Afrida Jayus Jayus Khoerul Sholeh Latif Latif Muhamad Nasrip Muhlidin Muhlidin Mukhlidin Mukhlidin Muslikhun, Alfin Nikmatul Jannah Nindi Riyan Gustin Restu Carissa Rosiana Ramadhon Sabna Selka Agustina Simanjuntak Terrensia Sekar Pamastutiningtyas Tri Mulyani Wanda Pratiwi Yelly Disti Nuraini Zelika Salsabilla Marti Insani