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The Impact of Artificial Intelligence Implementation on Business Ethics in Corporate Decision-Making Sari, Rahmi Rachmawati; Sikki, Nurhaeni; Chintiyani, Fitri; Pusparani, Kinanti Vionanda; Putri, Liska Zahara; Sari, Yulia Puspita; HR, Leni Nuraeni; Depi, Jeanne Nurtami; Nasution, Nurul Fitria
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1127

Abstract

The integration of artificial intelligence into corporate decision-making processes has introduced complex ethical challenges that demand urgent scholarly and practical attention. This study explores how AI implementation influences business ethics across five key dimensions: algorithmic bias, transparency, responsibility diffusion, privacy, and human autonomy. Employing a qualitative research design, data were collected through in-depth interviews with 25 executives and ethics officers from multinational corporations across diverse sectors. Thematic analysis revealed widespread concerns about the opacity of AI systems, ethical disengagement, and the absence of clear accountability structures. Although some organizations have begun adopting ethical AI governance frameworks, the effectiveness of these measures varies significantly, with many efforts remaining reactive and fragmented. The findings highlight a critical gap between ethical aspirations and organizational realities, emphasizing the need for systemic reforms that embed ethics into the design, deployment, and oversight of AI technologies. This study contributes to the growing body of literature on AI ethics by offering empirical insights and actionable implications for policy, leadership, and future research.
The Impact of Artificial Intelligence Implementation on Business Ethics in Corporate Decision-Making Sari, Rahmi Rachmawati; Sikki, Nurhaeni; Chintiyani, Fitri; Pusparani, Kinanti Vionanda; Putri, Liska Zahara; Sari, Yulia Puspita; HR, Leni Nuraeni; Depi, Jeanne Nurtami; Nasution, Nurul Fitria
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 2 (June 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i2.1127

Abstract

The integration of artificial intelligence into corporate decision-making processes has introduced complex ethical challenges that demand urgent scholarly and practical attention. This study explores how AI implementation influences business ethics across five key dimensions: algorithmic bias, transparency, responsibility diffusion, privacy, and human autonomy. Employing a qualitative research design, data were collected through in-depth interviews with 25 executives and ethics officers from multinational corporations across diverse sectors. Thematic analysis revealed widespread concerns about the opacity of AI systems, ethical disengagement, and the absence of clear accountability structures. Although some organizations have begun adopting ethical AI governance frameworks, the effectiveness of these measures varies significantly, with many efforts remaining reactive and fragmented. The findings highlight a critical gap between ethical aspirations and organizational realities, emphasizing the need for systemic reforms that embed ethics into the design, deployment, and oversight of AI technologies. This study contributes to the growing body of literature on AI ethics by offering empirical insights and actionable implications for policy, leadership, and future research.
E-Business Strategies and Digital Marketing Practices – Literature Review Depi, Jeanne Nurtami; Sari, Yulia Puspita; Chintiyani, Fitri; Sari, Rahmi Rachmawati; Redjeki, Finny
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 1 (2025): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i1.362

Abstract

The rapid growth of digital technology has transformed the landscape of business operations. E-business strategies and digital marketing practices have become essential for achieving competitiveness, customer engagement, and market expansion. This literature review aims to explore and analyze the key components, trends, and implications of e-business strategies and digital marketing practices. By synthesizing findings from various academic sources, this study identifies common themes and emerging innovations in the field. The results show that successful e-business strategies are built on agility, customer-centricity, and data-driven decision-making, while digital marketing is increasingly personalized and omnichannel in nature. The review contributes to the understanding of how businesses adapt their models in the digital economy.