Algorithmic Enterprises: Rethinking Firm Strategy in the Age of Intelligent Management Systems

Abstract

The rapid advancement of artificial intelligence (AI), machine learning (ML), and data-driven decision systems has fundamentally transformed the nature of firms and their strategic orientation globally—leading to the evolution of “algorithmic enterprises.” This paper advances the concept of algorithmic enterprises, in which intelligent management systems (IMS) play a central role in shaping organizational strategy, operations, and governance. Moving beyond traditional theories of the firm rooted in human bounded rationality, this paper argues that algorithmic decision-making enables new forms of strategic optimization, real-time adaptability, and predictive governance. However, this transformation also raises critical concerns regarding agency, accountability, data monopolization, and algorithmic bias. Using an interdisciplinary framework that integrates insights from economics, management theory, and digital governance, the paper develops a conceptual framework of algorithmic enterprises and explores their implications for competitive advantage, labour markets, and regulatory policy. The study contributes to emerging scholarship on digital capitalism by proposing a redefinition of firm boundaries, strategy formation, and value creation in the age of intelligent systems by advancing the concept of algorithmic enterprises.