On adoption of new technology under uncertainty

Proceedings - 20th International Congress on Modelling and Simulation, MODSIM 2013

Volumn , Issue , 2013, Pages 1433-1439

  Gaitsgory, V ^a   Tarnopolskaya, T ^b  

^a FLINDERS UNIVERSITY   (Australia)

^b CSIRO   (Australia)

Author keywords

Optimal timing; Poisson technology improvement process; Technological uncertainty; Technology adoption; Threshold curve

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; EFFICIENCY; INVESTMENTS; MARKOV PROCESSES; OPERATING COSTS; OPERATIONS RESEARCH; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

OPTIMAL TIMING; TECHNOLOGICAL UNCERTAINTY; TECHNOLOGY ADOPTION; TECHNOLOGY IMPROVEMENT; THRESHOLD CURVE;

COSTS;

EID: 84907397074     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Bao, C., M.Mortazavi-Naeini, S.Northey, T.Tarnopolskaya, A.Monch, and Z.Zhu (2013). Valuing flexible operating strategies in nickel production under uncertainty. In MODSIM2013, 20th International Congress on Modelling and Simulation.
2. Doraszelski, U. (2004). Innovations, improvements, and the optimal adoption of new technologies. Journal of Economic Dynamics and Control 28(7), 1461-1480.
3. Farzin, Y. H., K. J. Huisman, and P. M. Kort (1998). Optimal timing of technology adoption. Journal of Economic Dynamics and Control 22(5), 779-799.
4. Gryglewicz, S., K. J. Huisman, and P. M. Kort (2008). Finite project life and uncertainty effects on investment. Journal of Economic Dynamics and Control 32(7), 2191-2213.
5. Huisman, K. J. (2001). Technology Investment: a game theoretic real options approach, Volume 28. Kluwer Academic Pub.
6. Huisman, K. J. and P. M. Kort (2003). Strategic investment in technological innovations. European Journal of Operational Research 144(1), 209-223.
7. Robinson, D. and T. Treadgold (2013). Nitric nickel. Resourceful 3, 4-6.