Competition in algorithmically mediated markets is undergoing a profound transformation driven by automated pricing, recommendation systems, and data-driven interactions. This managerial and strategic perspective article synthesizes contemporary research to elucidate how these algorithmic tools reshape firm rivalry, consumer engagement, and market structures. Automated pricing algorithms enable real-time, personalized price adjustments that accelerate competitive responses but also raise the specter of tacit collusion among independent systems. Recommendation systems, in turn, act as powerful market-shaping mechanisms by controlling product visibility and influencing demand formation in platform environments. Data-driven interactions further personalize consumer experiences, fragment markets, and require firms to compete based on data intelligence and algorithmic alignment. Platforms serve as critical intermediaries, structuring the rules of engagement and mediating the flows of information and value. The article identifies key strategic challenges, including opacity in decision-making, loss of managerial control, and risks of unintended coordination. To address these, a strategic competition framework is introduced, comprising five components: automated pricing capability, recommendation and visibility management, data acquisition and interaction intelligence, strategic monitoring and human oversight, and adaptive competitive response loops, which maps the architecture of data flows, algorithmic processing, market outcomes, and managerial intervention points. The analysis offers practical guidance for managers on developing capabilities to compete effectively in automated environments, emphasizing the need to balance automation with strategic human oversight and governance mechanisms. By integrating insights from strategic management and digital business literature, this article equips executives with the conceptual tools to navigate and capitalize on the opportunities and risks of algorithmically mediated competition.
Institute for Management, Business, and Accounting Studies