๏ฟฝ๐ซ๐จ๐ฆ ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง ๐ญ๐จ ๐๐ฎ๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง: How AI Adoption Influences Managerial Decision-Making and Organizational Performance
Year: 2026
Type: article
Abstract: Artificial intelligence (AI) is increasingly embedded in managerial work, yet its organisational value cannot be explained by adoption alone. AI can automate bounded tasks, augment managerial judgement, or combine both roles across different decision stages. This conceptual paper develops an integrative framework explaining how AI adoption influences managerial decision-making and organisational performance through humanโAI collaboration and decision implementation. Drawing on the automationโaugmentation paradox, sociotechnical systems thinking, decision-making theory, and dynamic capabilities, the paper argues that AI creates value when analytical capabilities complement managerial contextual knowledge and are embedded in accountable routines. The framework proposes that AI adoption influences decision quality through information processing, option generation, and decision support; decision quality contributes to performance when decisions are implemented effectively. HumanโAI collaboration is pos
DOI: 10.68207/hjyx6195
Author: Mr Ravi Chandra Mohan Byri Byri
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W7225645076