Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pemimpin Bisnis Inovatif Jukerdi: Jurnal Kewirausahaan Cerdas Dan Digital
Rita Andini
ITB Semarang
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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

Found 2 Documents
Search

 1 
Adopsi Artificial Intelligence dan Kualitas Informasi Digital dalam Meningkatkan Keputusan Manajerial melalui Kapabilitas Analitik Bisnis pada Perusahaan Modern Ahmad Dwi Nurdiyanto; Rita Andini; Riyono Riyono
Jurnal Kewirausahaan Cerdas dan Digital Vol. 2 No. 2 (2025): Jurnal Kewirausahaan Cerdas dan Digital
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jukerdi.v2i2.1543

Abstract

Penerapan Kecerdasan Buatan (AI) yang semakin meluas telah mengubah pengambilan keputusan manajerial dengan memungkinkan organisasi untuk memproses data kompleks, menghasilkan wawasan prediktif, dan mendukung aktivitas bisnis berbasis data. Studi ini bertujuan untuk meneliti pengaruh adopsi AI terhadap pengambilan keputusan manajerial dan untuk menyelidiki peran mediasi kualitas informasi digital dan kemampuan analitik bisnis di perusahaan modern. Pendekatan kuantitatif dengan desain penelitian eksploratif digunakan. Data dikumpulkan melalui kuesioner skala Likert yang diberikan kepada 200 manajer, supervisor, kepala departemen, dan pengambil keputusan organisasi lainnya yang berpengalaman dalam menggunakan teknologi digital dan/atau AI. Model yang diajukan dianalisis menggunakan Partial Least Squares-Structural Equation Modeling (PLS-SEM). Temuan menunjukkan bahwa adopsi AI berkontribusi positif terhadap kualitas informasi digital, kemampuan analitik bisnis, dan pengambilan keputusan manajerial. Kualitas informasi digital dan kemampuan analitik bisnis juga mendukung keputusan manajerial yang lebih efektif dan berfungsi sebagai mekanisme di mana sumber daya AI diubah menjadi nilai pengambilan keputusan. Temuan ini menekankan bahwa implementasi AI yang sukses tidak hanya membutuhkan investasi teknologi tetapi juga informasi digital yang andal dan kemampuan analitik organisasi yang kuat. Studi ini menyiratkan bahwa perusahaan harus mengintegrasikan investasi AI, tata kelola data, dan kompetensi analitik manusia untuk memperkuat pengambilan keputusan manajerial berbasis bukti.  
Generative Artificial Intelligence Adoption and Business Decision Quality: The Mediating Role of Organizational Learning Capability in Digital Enterprises Teti Safari; Hani Krisnawati; Rita Andini
Jurnal Pemimpin Bisnis Inovatif Vol. 2 No. 1 (2024): Januari : 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.v2i1.1597

Abstract

Generative Artificial Intelligence (GenAI) is increasingly adopted by digital enterprises to support data analysis, planning, information synthesis, and managerial decision-making. However, the organizational value of GenAI depends on the ability of enterprises to transform AI-generated insights into actionable knowledge and high-quality decisions. This study aimed to examine the direct effect of GenAI adoption on business decision quality and the mediating role of organizational learning capability. A quantitative explanatory design was employed involving 250 managers, supervisors, and professionals with experience using GenAI for organizational tasks. Data were collected using a five-point Likert scale questionnaire and analyzed through Structural Equation Modeling with Partial Least Squares. The results confirmed that the measurement model fulfilled the criteria for validity and reliability. GenAI adoption had a positive and significant effect on organizational learning capability and business decision quality. Organizational learning capability also positively and significantly influenced business decision quality and partially mediated the relationship between GenAI adoption and business decision quality. The study concludes that GenAI improves decision quality through direct analytical support and organizational learning processes that facilitate knowledge acquisition, sharing, interpretation, and utilization. Digital enterprises should therefore combine GenAI implementation with employee training, collaborative learning, knowledge-sharing mechanisms, reliable data governance, and systematic verification of AI-generated outputs to support accurate, timely, relevant, and strategically appropriate business decisions.
Co-Authors Ahmad Dwi Nurdiyanto Krisnawati, Hani Riyono Riyono Safari, Teti