A TWO-STAGE STOCHASTIC PROGRAMMING MODEL FOR TECHNOLOGICAL KNOWLEDGE ACQUISITION BASED ON GAME THEORY

Firms outperforming competitors often get their success through innovation and new technological knowledge acquisition. This study offers a Three-Stage decision-making model for acquiring the optimal time to invest. In first Stage, two competing firms decide invest in without knowing its level. next stage, will develop integrate it with knowledge. Due uncertainty of knowledge, stochastic programming is used determine acquisition time. identifies leader follower by considering advantages such as branding high market share well disadvantages cost uncertainty. Finally, we Cournot Stackelberg game winner market. The proposed can be tool help organizations, uncertainty, leaders entering market, or wait until things are clear. results programing theory show that level at production, absorption coefficient, constant demand coefficient have special effect on determining