Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Bringing a new IT product onto the market possess a high business risk due to two main factors: lifetime of an IT product is usually short; IT market is very competitive one. Product success depends on many mutually linked factors and very often the relations among them are difficult to grasp by business analysts. In the paper we present the System Dynamics model describing some important factors which should be analyzed before bringing a new IT product onto the market. We assume that an IT product is maintained within an outsourcing model by other company which uses a cloud computing for that purpose. Our study embraces analysis of the pricing policy of product and that takes into account opponents in the market. We also consider possible modifications of IT product configurations, outsourcing scope and the modification of marketing policy depending on actual IT product parameters. While building the model presented in the paper, contrary to other models in literature, we have used only parameters which can be estimated precisely. By sticking to this attitude we have obtained the model which is more useful than other models presented in the literature on the subject. We present simulation results of the dynamic model for different simulation scenarios resulting from different policies of bringing a new product onto the market.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
89--102
Opis fizyczny
Bibliogr. 15 poz., fig.
Twórcy
autor
- Faculty of Cybernetics Military University of Technology, ul. Kaliskiego 2, 00-908 Warsaw, Poland
autor
- Institute of Automatic Control and Robotics, Warsaw University of Technology, ul. Sw. Andrzeja Boboli, 02-525 Warsaw, Poland
Bibliografia
- 1. Calantone R.J., Chan K. & Cui A.S. (2006), Decomposing Product Innovativeness and Its Effects on New Product Success, Journal of Product Innovation Management, Vol. 23, pp. 408-421.
- 2. Choffray J.M. & Lilen G.L. (1986), A decision support system for evaluating sales prospects and launch strategies for new products, Industrial Marketing Management, Vol. 15, pp. 75-85.
- 3. Cui A.S., Zhao M. & Ravichandran T. (2011), Market Uncertainty and Dynamic New Product Launch Strategies: A System Dynamics Model, IEEE Transactions on Engi-neering Management, Vol. 58, No. 3, pp. 530-550.
- 4. Green D.H. & Ryans A.B. (1990), Entry strategies and market performance: casual modeling of a business simulation, Journal of Production Innovation Management, Vol. 7, pp. 45-58.
- 5. Guiltinan J.P. (1990), Launch Strategy Launch Tactics and Demand Outcomes, Journal of Production Innovative Management, Vol. 16, pp. 509-529.
- 6. Haverila M.J. (2013), Marketing variables when launching high-technology products into international market: An empirical study on Finnish technology firms, Journal of High Technology Management Research, Vol. 24, pp. 1-9.
- 7. Hitsch G.J. (2006), An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty, Marketing Science, Vol. 25, No. 1, pp. 25-50.
- 8. Hultink E.J., Griffin A., Robben H., Hart S. (1998), In search of generic launch strategies for new products, International Journal of Research in Marketing, Vol. 15, pp. 269-285.
- 9. Li Y. & Jin Y.H. (2009), Racing to market leadership: Product launch and upgrade decision, International Journal of Production Economics, Vol. 119, pp. 284-297.
- 10. Niewiadomski P. & Pawlak N. (2015), Title product complexity and its attractiveness - the context of the implementation decision in the market of agricultural mechanization, Research in Logistics & Production, Vol. 1, pp. 65-76.
- 11. Pytlak R. (1999), Numerical Methods for Optimal Control Problems with State Con-straints. Lecture Notes in Mathematics 1707, Springer-Verlag. Berlin.
- 12. Pytlak R., Błaszczyk J., Karbowski A., Krawczyk K. & Tarnawski T. (2013), Solvers Chaining in the IDOS Server for Dynamic Optimization. Proceedings of 52nd IEEE CDC, Florence, Italy, pp. 7110-7124.
- 13. Pytlak R. & Tarnawski T. [in print 2014] IDOS - (also) in Web Based Tool for Calibrating Modelica Models, Proceedings of the 10th International Modelica Conference 2014, pp. 1096-1104, DOI 10.3384/ECP 140961095.
- 14. Pytlak R„ Tarnawski T, Fajdek B. & Stachura M. (2014), Interactive Dynamic Optimization Server (IDOS) - Connecting one Modeling Language with Many Solvers, Optimization Methods & Solvers, Vol. 29, pp. 1118-1138.
- 15. Sterman J.D. (2000), Business Dynamics, McGraw-Hill.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6e401ea9-9a41-4fb9-8e71-f9a7ac85127a