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Growth of research literature in scientific specialities. A modelling perspective

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Abstract

The paper discusses the application of three well known diffusion models and their modified versions to the growth of publication data in four selected fields of S&T. It is observed that all the three models in their modified versions generally improve their performance in terms of parameter values, fit statistics, and graphical fit to the data. The most appropriate model is generally seen to be the modified exponential-logistic model.

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References

  1. Gilbert, G. N. (1978), Measuring the growth of science: A review of indices,Scientometrics, 1(1):9–34.

    Article  Google Scholar 

  2. Solla Price, D. J. de. (1961),Science Since Babylon, New Haven, Connecticut; Yale University Press.

    Google Scholar 

  3. Solla Price, D. J. de (1963),Little Science, Big Science, New York; Columbia University Press.

    Google Scholar 

  4. Rogers, E. M. (1962),Diffusion of Innovations, New York; Free Press of Glencoe.

    Google Scholar 

  5. Valente, T. W. (1995),Network Models of the Diffusion of Innovations. NJ; Hampton Press, Inc.

    Google Scholar 

  6. Rogers, e. M.,Shoemaker, F. F. (1971),Communication of Innovations: A Cross Cultural Approach, New York; The Free Press.

    Google Scholar 

  7. Alber, R., Adams, J. S., Gould, P. (1971),Spatial Organisation, Englewood Cliffs, N J: Prentice Hall.

    Google Scholar 

  8. Kumar, V., Kumar, U. (1992), Innovation diffusion: some new technology substitution models,Journal of Mathematical Sociology, 17(2–3): 175–194.

    Article  MATH  Google Scholar 

  9. Mansfield, E. (1961), Teehnical change and the rate of immitation,Econometrica, 29:741–766.

    Article  MATH  Google Scholar 

  10. Griliches, Z. (1957), Hyorid corn: An exploration in the economics of technological change,Econometrica, 25: 501–522.

    Article  Google Scholar 

  11. Robinson, B., Lakhani, C. (1975), Dynamic Price models for new product planning,Management Science, 21:1113–1122.

    Google Scholar 

  12. Brown, L. A. (1981),Innovation Diffusion: A New Perspective, New York; Methuen.

    Google Scholar 

  13. Casetti, E., Sample, R. K. (1969), Concerning and testing of spatial diffusion hypothesis,Geographical Analysis, 1:254–259.

    Article  Google Scholar 

  14. Sahal, D. (1981),Patterns of Technological Innovations, Rading, MA; Addison-Wesley.

    Google Scholar 

  15. Sahal, D. (1983), Invontion, innovation and economic evaluation,Technological Forecasting and Social Change, 23:213–235.

    Article  Google Scholar 

  16. Karmeshu;Bhargava, S. C., Jain, V. P. (1985),Urban Economics, 15:137–141.

    Article  Google Scholar 

  17. Blackman, A. W. Jr. (1971), The rate of innovation in the commercial aircraft jet engine market,Technological Forecasting and Social Change, 2:3–4.

    Google Scholar 

  18. Blackman, A. W. Jr. (1972), A mathematical model for trend forecast,Technological Forecasting and Social Change, 3: 441–452.

    Article  Google Scholar 

  19. Nevers, J. V. (1972), Extensions of a new product growth model,Sloan Management Review, 13: 78–79.

    Google Scholar 

  20. Easingwood, C. J., Mahajan, V., Muller, E. A. (1981), Non-symmetric responding logistic model for technological substitution,Technological Forecasting and Social Change, 20:199–213.

    Article  Google Scholar 

  21. Teotia, A. P. S., Raju, P. S. (1986), Forecasting the market penetration of new technologies using a combination of economic cost and diffusion models,Journal of Product Innovation Management, 3: 225–237.

    Article  Google Scholar 

  22. Bewley, R., Fiebig, D. G. (1986), A flexible logistic growth model with applications in telecommunications,International Journal of Forecasting, 3: 225–237.

    Google Scholar 

  23. McGowan, I. (1986), The use of growth curves in forecasting market developments,Journal of Forecasting, 5(1): 69–71.

    Google Scholar 

  24. Hamblin, R. L;Jacobsin, R. B., Miller, J. L. L. (1973),A Mathematical Theory of Social Change, New York; John Wiley.

    Google Scholar 

  25. Mahajan, V., Peterson, R. A. (1985),Models for Innovation Diffusion, Beverly Hill; Sage Publications, p. 10.

    MATH  Google Scholar 

  26. Mahajan, V., Scholeman, M. E. F. (1977), Generalized model for the time pattern of the diffusion process,IEEE Transactions on Engineering Management, EM 24(1):12–18.

    Article  Google Scholar 

  27. Bass, F. M. (1969), A new product growth model for consumer durables,Management Science, 15: 215–227.

    Article  Google Scholar 

  28. Sharma, L., Basu, A., Bhargava, S. C. (1993), A new model of innovation diffusion,Journal of Scientific and Industrial Research, 52 (3): 151–158.

    Google Scholar 

  29. Sharma, P., Bhargava, S. C. (1994), A non-homogenous non-uniform influence model of innovation diffusion,Technological Forecasting and Social Change, 46:279–288.

    Article  Google Scholar 

  30. Sharma, P., Bhargava, S. C. (1996), Study on diffusion pattern and forecast of Indian electronic consumer durables,Journal of Scientific and Industrial Research, 55(7):483–489.

    Google Scholar 

  31. Sterman, J. D., (1985), The growth of knowledge: Testing a theory of scientific revolution with a formal model,Technological Forecasting and Social Change, 28: 93.

    Article  Google Scholar 

  32. Jain, A., Garg, K. C. (1992), Laser research in India: Scientometric study and model projections,Scientometrics, 23: 395–415.

    Article  Google Scholar 

  33. Garg, K. C., Sharma, P., Sharma, L. (1993), Bradford's law in relation to the evolution of a field: A case study of solar power research,Scientometrics, 27:145–156.

    Article  Google Scholar 

  34. Gupta, B. M., Sharma, L., Karisiddappa, C. R. (1995), Modelling the growth of papers in a scientific speciality,Scientometrics, 33:187–201.

    Article  Google Scholar 

  35. Falsenteen, J. (1981),Bibliography of Theoretical Population Genetics, Pennsylvania; Dowden, Hutshinson & Ross, Inc.

    Google Scholar 

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Gupta, B.M., Sharma, P. & Karisiddappa, C.R. Growth of research literature in scientific specialities. A modelling perspective. Scientometrics 40, 507–528 (1997). https://doi.org/10.1007/BF02459297

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