Claim Missing Document
Check
Articles

Executive Compensation in Controversial Industries: A Qualitative Study of Pay-for-Performance Sensitivity in Sin Companies Grace Yulianti; Dadang Irawan; Tanti Sugiharti
International Journal of Business Law, Business Ethic, Business Comunication & Green Economics Vol. 2 No. 1 (2025): March: International Journal of Business Law, Business Ethic, Business Communic
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This qualitative literature review examines the pay-for-performance sensitivity in managerial compensation within controversial industries, often referred to as "sin" companies, including sectors such as tobacco, alcohol, and gambling. The review synthesizes existing studies on executive compensation structures in these sectors, highlighting the unique challenges and ethical considerations they face due to societal scrutiny and regulatory pressures. Findings suggest that sin companies tend to offer higher compensation packages with stronger pay-for-performance sensitivity to attract and retain executives in high-risk environments. However, the alignment between executive incentives and long-term sustainability is often compromised by external social and ethical factors. Despite the growing interest in this area, limited empirical research specifically focusing on sin industries has resulted in a gap in understanding how these dynamics play out across different controversial sectors. The review calls for further research to explore these relationships in greater depth and across diverse global contexts.
The Role of Generative Artificial Intelligence in Strategic Decision Evaluation: Analysis of Consistency and Bias in Business Decision Making Shinta Amelia; Grace Yulianti
International Journal of Business Law, Business Ethic, Business Comunication & Green Economics Vol. 1 No. 1 (2024): March: International Journal of Business Law, Business Ethic, Busines Comunicat
Publisher : LPPM STIE Kasih Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70142/ijbge.v1i1.356

Abstract

This study aims to review the use of generative artificial intelligence (AI) in strategic decision evaluation, with a focus on consistency and bias in business decision making. Through a qualitative literature review approach, this study analyzes various studies that examine how AI technology, such as the GPT model, can improve decision quality by providing more objective and consistent data analysis. Although it has great potential in reducing human bias, this study also shows the risk of algorithmic and data bias that can affect decision outcomes. Therefore, the use of AI in decision making must be accompanied by strict human supervision to ensure the quality and fairness of the resulting decisions. The results of this study provide an important contribution to the understanding of the challenges and opportunities of AI in strategic decision making in the business world.