Abstract

The aim of this study is to introduce value chain and uses stage-gate model, which is widely used in programming, to find a new approach of R&D budgeting based on value chain. The expense of R&D of contemporary enterprises is taking larger and larger part of the whole production cost, so R&D budgeting, as a forward feed management mode, has been paid great attention to. R&D budgeting model is a management system that contains relevant basic concepts, procedures and methods correspondingly. The present model most enterprises are using follows the budgeting method in the field of manufacturing, which is more difficult to adapt to the characteristics of R&D activities, leading to adverse effects on R&D budget slack, as well as low management efficiency. Actually, the process of budgeting is the allocation of scarce resources to organize all kinds of work.

Keywords:

Index system construction, R&D budgeting, state-gate model, value chain,

References

1. Bradley, P.S., U. Fayyad and C. Reina, 1998. Scaling clustering algorithms to large databases. Am. Assoc. Artif. Intell., 4: 425-436.
   
2. Cooper, R.G., 1988. Predevelopment activities determine new product success. Ind. Market. Manag., 17(2): 237-248.
   CrossRef    
3. Cooper, R.G. and S.J. Edget, 2007. Portfolio management in new product development: Lessons from the leaders. Res. Technol. Manage., 9(2): 68-71.
   
4. Cooper, R. and E. Kleinschnidt, 2011. Stage gate systems for new product success. Market. Manage., 1(4): 20-29.
   
5. Dunk, A.S. and A. Kilgore, 2009. Top management involvement in R&D budget setting: The importance of financial factors, budget targets and R&D performance evaluation advances in management. Accounting, 3(11): 123-138.
   
6. Guha, S., R. Rastogi and K. Shim, 2000. Rock a robust clustering algorithm for categorical attributes. Inform. Syst., 25: 345-366.
   CrossRef    
7. Kao, C. and W.Y. Wu, 2008. Measuring the national competitiveness of Southeast Asian countries. Eur. J. Oper. Res., 187: 613-628.
   CrossRef    
8. Porter, M.E., 1985. Competitive Advantage. Free Press, New York.
   
9. Rayport, J.F. and J.J. Sviokla, 2001. Exploiting the virtual value chain. Harvard Bus. Rev., 9(3): 75-99.
   
10. Rothwell, R., 2012. Factors for success in industrial innovations from project SAPPHO: A comparative study of success and failure in industrial innovation. S. P. R.U., Brighton, Sussex, England.
    
11. Shank, J. and V. Govindarajan, 1993. Strategic Cost Management. The Free Press, New York.
    
12. Shyamala, K. and S.P. Rajagopalan, 2006. Data mining model for a better higher educational system. Inform. Technol. J., 5: 560-564.
    CrossRef    
13. Sorder, E., 2009. Budgeting for R&D: A case for management science methods. Bus. Horizons, 13(3): 31-38.
    
14. Yan, D., 2007. Research in value chain accounting: Review and prospect. Account. Stud., 2(4): 3-7.
    
15. Yu, F.S., 2009. Management framework based on value chain. Account. Stud., 7(3): 17-21.
    
16. Zeleznikow, J. and J.R. Nolan, 2001. Using soft computing to build real world intelligent decision support systems in uncertain domains. Decis. Support Syst., 31: 263-285.
    CrossRef    
17. Zhang, R.J. and J.H. Yin, 2006. Study on dynamic budgeting based on value chain. Econ. Theor. Manage., 1(3): 66-70.
    

Competing interests

The authors have no competing interests.

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