Entrepreneurial Processes and Decision-Making in Technology Start-Ups: A Systematic Examination

Abstract

Entrepreneurial processes and decision-making are critical determinants of success for technology start-ups operating in uncertain and rapidly evolving environments. This systematic literature review synthesizes research on opportunity recognition, innovation strategies, decision-making behavior, risk management, and strategic adaptation in technology-driven ventures. Drawing on insights from entrepreneurship theory, innovation management, and behavioral sciences, the study identifies key theoretical frameworks, empirical findings, and emerging trends. The review emphasizes the growing influence of digital technologies, data analytics, and artificial intelligence in shaping entrepreneurial cognition, opportunity evaluation, and organizational decision-making. It also highlights persistent gaps, including limited longitudinal research, underexplored cognitive and behavioral biases, and insufficient integration of individual, organizational, and ecosystem-level perspectives. Based on these findings, the paper proposes a multi-level framework linking entrepreneurial cognition, organizational processes, and external ecosystem factors, offering guidance for future research, policy development, and practical implementation in technology entrepreneurship.