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All Journal Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis
Sophia Novita Evelyn
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Pengaruh Perangkat Teknologi dan Kondisi Lingkungan terhadap Transformasi Digital Berbasis AI di PT. Asuransi Sinarmas Sophia Novita Evelyn; Danang Aziz Akbarona; Aditya Santoso
Jurnal Manuhara : Pusat Penelitian Ilmu Manajemen dan Bisnis Vol. 4 No. 3 (2026): Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen dan Bisnis
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/manuhara.v4i3.2730

Abstract

 This study aims to evaluate the contribution of Technological Tools and Environmental Conditions to the Artificial Intelligence (AI)-based digital transformation process at PT. Asuransi Sinarmas. Global and national trends indicate high AI adoption in the workplace; however, the failure rate for organizational digitalization remains high. Meanwhile, scholarly literature regarding AI implementation specifically within Indonesia's insurance sector remains relatively limited. This deductive quantitative study employs a cross-sectional survey strategy, adapting the "Technology" and "Environment" dimensions of the TOE (Technology-Organization-Environment) framework. A sample of 52 operational partners was selected via purposive sampling based on Slovin's formula. Data processing involved descriptive statistics, classical assumption testing, multiple linear regression, as well as t-tests and F-tests using SPSS software. The findings indicate that, individually, the Technological Tools variable has a positive and significant effect on AI-based digital transformation (tcount = 4,962; Sig. = 0,000). Conversely, Environmental Conditions do not have a significant individual effect (tcount = 0,834; Sig. 0,408). However, when considered simultaneously, Technological Tools and Environmental Conditions exert a positive and significant influence on AI-based digital transformation (Fcount = 15,560; Sig. = 0,000), with a coefficient of determination (R2) of 37,9%. The study's novelty lies in its specific application of the TOE framework's Technology and Environment dimensions to analyze AI-driven digital transformation within the context of the national insurance industry.
Co-Authors Aditya Santoso Danang Aziz Akbarona