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The effects of industry characteristics on the sources of technological product and process innovation

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Abstract

In order to explore the effects of industry characteristics on the sources of technological product and process (TPP) innovation, this paper considers various sources in a united framework, and identifies their cross-industry similarities and differences. It sheds light on three Chinese high technology industries, and empirically confirms that in-house R&D, technology transfer, technology spillover and back-propagation of user innovations are all effective sources of TPP innovation. However, each source creates different productivity in different industries, which may be explained by the following industry characteristics: the dependence on foreign technology, the importance attached to inventive in-house R&D, the level of domestic technology, the relative proportions of foreign and domestic users.

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References

  • Almeida, P., & Kogut, B. (1999). Localization of knowledge and the mobility of engineers in regional networks. Management Science, 45(7), 905–917.

    Article  Google Scholar 

  • Archibugi, D. (2001). Pavitt’s taxonomy sixteen years on: A review article. Economics of Innovation and Technology, 10(5), 415–425.

    Article  Google Scholar 

  • Archibugi, D., & Sirilli, G. (2001). The direct measurement of technological innovation in business. In European Commission (Eurostat) (Ed.), Innovation and enterprise creation: Statistics and indicators. Luxembourg: European Commission.

    Google Scholar 

  • Blumenthal, T. (1976). Japan’s technological strategy. Journal of Development Economics, 3(3), 245–255.

    Article  Google Scholar 

  • Bogers, M. (2009). The sources of process innovation in user firms: An exploration of the antecedents and impact of non-R&D innovation and learning-by-doing. Ph.D. thesis, Lausanne : Ecole Polytechnique Fédérale de Lausanne.

  • Bogers, M., Afuah, A., & Bastian, B. (2010). Users as innovators: A review, critique, and future research directions. Journal of Management, 36(4), 857–875.

    Article  Google Scholar 

  • Braga, L., & Willmore, L. (1991). Technological imports and technological effort: An analysis of their determinants in Brazilian firms. Journal of Industrial Economics, 39(4), 421–432.

    Article  Google Scholar 

  • Centano, M. V. (1987). Nature and determinants of technological change: The Peruvian industrial sector. In J. M. Katz (Ed.), Technology generation in latin American manufacturing industries. London: Macmillan.

    Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Connolly, M., & Valderrama, D. (2005). Implications of intellectual property rights for dynamic gains from trade. American Economic Review, 95(2), 318–322.

    Article  Google Scholar 

  • Darroch, J., & McNaughton, R. (2002). Examining the link between knowledge management practices and types of innovation. Journal of Intellectual Capital, 3(3), 210–222.

    Article  Google Scholar 

  • de Jong, J. P. J., & von Hippel, E. (2009). Transfers of user process innovations to process equipment producers: A study of Dutch high-tech firms. Research Policy, 38(7), 1181–1191.

    Article  Google Scholar 

  • Deolalikar, A. B., & Evenson, R. E. (1989). Technology production and technology purchase in Indian industry: An econometric analysis. Review of Economics and Statistics, 71(4), 689–692.

    Article  Google Scholar 

  • DiPietro, W. R., & Anoruo, E. (2006). Creativity, innovation, and export performance. Journal of Policy Modeling, 28(2), 133–139.

    Article  Google Scholar 

  • Eden, L., Levitas, E., & Martines, R. J. (1997). The production, transfer and spillover of technology: Comparing large and small multinationals as technology producers. Small Business Economics, 9(1), 53–66.

    Article  Google Scholar 

  • Evangelista, R., Perani, G., Rapiti, F., & Archibugi, D. (1997). Nature and impact of innovation in manufacturing industry: Some evidence from the Italian innovation survey. Research Policy, 26(4–5), 521–536.

    Article  Google Scholar 

  • Flor, M. L., & Oltra, M. J. (2004). Identification of innovating firms through technological innovation indicators: An application to the Spanish ceramic tile industry. Research Policy, 33(2), 323–336.

    Article  Google Scholar 

  • Franke, N., & Shah, S. (2003). How communities support innovative activities: An exploration of assistance and sharing among end-users. Research Policy, 32(1), 157–178.

    Article  Google Scholar 

  • Franke, N., & von Hippel, E. (2003). Satisfying heterogeneous user needs via innovation toolkits: The case of Apache security software. Research Policy, 32(7), 1199–1215.

    Article  Google Scholar 

  • Franke, N., Reisinger, H., & Hoppe, D. (2009). Remaining within-cluster heterogeneity: A meta-analysis of the “dark side” of clustering methods. Journal of Marketing Management, 25(3–4), 273–293.

    Article  Google Scholar 

  • Freeman, C., & Soete, L. (1997). The economics of industrial innovation (3rd ed.). Cambridge: The Massachusetts Institute of Technology Press.

    Google Scholar 

  • Frenkel, A., Shefer, D., Koschalzky, K., & Walter, G. H. (2001). Firm characteristics, location and regional innovation: A comparison between Israeli and German industrial firm. Regional Studies, 35(5), 413–427.

    Google Scholar 

  • Gilbert, J.T. (1994). Choosing an innovation strategy: Theory and practice. Business Horizon, Nov–Dec, 16–22.

  • Guan, J. C., Mok, C. K., Yam, R. C. M., Chin, K. S., & Pun, K. F. (2006). Technology transfer and innovation performance: Evidence from Chinese firms. Technological Forecasting and Social Change, 73(6), 666–678.

    Article  Google Scholar 

  • Guo, B. (2008). Technology acquisition channels and industry performance: An industry-level analysis of Chinese large- and medium-size manufacturing enterprises. Research Policy, 37(2), 194–209.

    Article  Google Scholar 

  • Herstatt, C., & von Hippel, E. (1992). From experience: Developing new product concepts via the lead user method: A case study in a “low tech” field. Journal of Product Innovation Management, 9(3), 213–221.

    Article  Google Scholar 

  • Hu, A. G. Z., Jefferson, G. H., & Qian, J. C. (2005). R&D and technology transfer: Firm-level evidence from Chinese industry. Review of Economics and Statistics, 87(4), 780–786.

    Article  Google Scholar 

  • Kalantaridis, C., & Pheby, J. (1999). Processes of innovation among manufacturing SMEs: The experience of Bedfordshire. Entrepreneurship and Regional Development, 11(1), 57–78.

    Article  Google Scholar 

  • Kam, W. P., Kiese, M., Singh, A., & Wong, F. (2003). The pattern of innovation in Singapore’s manufacturing sector. Singapore Management Review, 25(1), 1–34.

    Google Scholar 

  • Katrak, H. (1985). Imported technology, enterprise size and R&D in a newly industrialising country: The Indian experience. Oxford Bulletin of Economics and Statistics, 47(3), 213–229.

    Article  Google Scholar 

  • Katrak, H. (1989). Imported technologies and R&D in a newly industrialising country: The experience of Indian enterprises. Journal of Development Economics, 31(1), 123–139.

    Article  Google Scholar 

  • Katrak, H. (1990). Imports of technology and the technological effort of Indian enterprises. World Development, 18(3), 371–381.

    Article  Google Scholar 

  • Katrak, H. (1997). Developing countries’ imports of technology, in house technological capabilities and efforts: An analysis of the Indian experience. Journal of Development Economics, 53(1), 67–83.

    Article  Google Scholar 

  • Katz, J. M. (1973). Industrial growth, royalty payments and local expenditure on research and development. In V. Urquidi & R. Thorpe (Eds.), Latin America in the international economy. London: Macmillan.

    Google Scholar 

  • Kleinknecht, A., Van Montfort, K., & Brouwer, E. (2002). The non-trivial choice between innovation indicators. Economics of Innovation and New Technology, 11(2), 109–121.

    Article  Google Scholar 

  • Kokko, A. (1992). Foreign direct investment, host country characteristics, and Spillovers. Stockholm: The Economic Research Institute, Stockholm School of Economics.

    Google Scholar 

  • Kumar, N. (1987). Technology imports and local research and development in Indian manufacturing. The Developing Economies, 25(3), 220–233.

    Article  Google Scholar 

  • Lall, S. (1983). Determinants of R&D in an LDC: The Indian engineering industry. Economics Letters, 13(4), 379–383.

    Article  Google Scholar 

  • Lall, S. (1989). Learning to industrialise: The acquisition of technological capability by India. London: Macmillan.

    Google Scholar 

  • Landry, R., Amara, N., & Lamari, M. (2002). Does social capital determine innovation? To what extent? Technological Forecasting and Social Change, 69(7), 681–701.

    Article  Google Scholar 

  • Laursen, K., & Meliciani, V. (2002). The relative importance of international vis-à-vis national technological spillovers for market share dynamics. Industrial and Corporate Change, 11(4), 875–894.

    Article  Google Scholar 

  • Lilien, G. L., Morrison, P. D., Searls, K., Sonnack, M., & von Hippel, E. (2002). Performance assessment of the lead user idea-generation process for new product development. Management Science, 48(8), 1042–1059.

    Article  Google Scholar 

  • Liu, X., & Zou, H. (2008). The impact of greenfield FDI and mergers and acquisitions on innovation in Chinese high technology industries. Journal of World Business, 43(3), 352–364.

    Article  Google Scholar 

  • Lundvall, B.-Å. (1992). National systems of innovation: Towards a theory of innovation and interactive learning. London: Pinter Publishers.

    Google Scholar 

  • Lüthje, C. (2003). Customers as co-Inventors: An empirical analysis of the antecedents of customer-driven innovations in the field of medical equipment. Proceedings from the 32th European Marketing Academy Conference. Glasgow.

  • Lüthje, C. (2004). Characteristics of innovating users in a consumer goods field: An empirical study of sport-related product consumers. Technovation, 24(9), 683–695.

    Article  Google Scholar 

  • Lüthje, C., Herstatt, C., & von Hippel, E. (2005). User-innovators and “local” information: The case of mountain biking. Research Policy, 34(6), 951–965.

    Article  Google Scholar 

  • Martinez-Ros, E. (1999). Explaining the decisions to carry out product and process innovations: The Spanish case. The Journal of High Technology Management Research, 10(2), 223–242.

    Article  Google Scholar 

  • Morrison, P. D., Roberts, J. H., & von Hippel, E. (2000). Determinants of user innovation and innovation sharing in a local market. Management Science, 46(12), 1513–1527.

    Article  Google Scholar 

  • Mowery, D., & Rosenberg, N. (1979). The influence of market demand upon innovation: A critical review of some recent empirical studies. Research Policy, 8(2), 102–153.

    Article  Google Scholar 

  • Mytelka, L. K. (1978). Licensing and technology dependence in the Andean group. World Development, 6(4), 447–459.

    Article  Google Scholar 

  • National Bureau of Statistics of China, Ministry of Science, Technology of China. (2007). China statistics yearbook on science and technology. Beijing: China Statistics Press.

    Google Scholar 

  • National.Bureau of Statistics of China, National Development, Reform Commision of China, Ministry of Science, Technology of China. (2003). China statistics yearbook on high technology industry. Beijing: China Statistics Press.

    Google Scholar 

  • National.Bureau of Statistics of China, National Development, Reform Commision of China, Ministry of Science, Technology of China. (2007). China statistics yearbook on high technology industry. Beijing: China Statistics Press.

    Google Scholar 

  • National.Bureau of Statistics of China, State Development Planning Commission of China, Ministry of Science, Technology of China, State Economic, Trade Commission of China. (2002). China statistics yearbook on high technology industry. Beijing: China Statistics Press.

    Google Scholar 

  • Organization for Economic Cooperation, Development. (2005). Oslo manual: Guidelines for collecting and interpreting innovation data. Paris: Organization for Economic Cooperation and Development.

    Google Scholar 

  • Parisi, M. L., Schiantarelli, F., & Sembenelli, A. (2006). Productivity, innovation and R&D: Micro evidence for Italy. European Economic Review, 50(8), 2037–2061.

    Article  Google Scholar 

  • Pavitt, K. (1984). Sectoral patterns of technical change: Towards a taxonomy and a theory. Research Policy, 13(6), 343–373.

    Article  Google Scholar 

  • Pillai, P.M. (1979). Technology transfer, adaptation and assimilation. Economic and Political Weekly, 14(47), M121 + M123-M126.

  • Porter, M. (1990). The Competitive advantage of nations. London: Macmillan.

    Google Scholar 

  • Quadros, R., Furtado, A., Bernardes, R., & Franco, E. (2001). Technological innovation in Brazilian industry: An assessment based on the São Paulo innovation survey. Technological Forecasting and Social Change, 67(2–3), 203–219.

    Article  Google Scholar 

  • Quah, D. T. (1997). Empirics for growth and distribution: Stratification, polarization, and convergence clubs. Journal of Economic Growth, 2(1), 27–59.

    Article  Google Scholar 

  • Roodman, D. (2009). How to do xtabond2: An introduction to difference and system GMM in Stata. Stata Journal, 9(1), 86–136.

    Google Scholar 

  • Schumpeter, J. A. (1950). Capitalism, socialism and democracy (third edition ed.). New York: Harper and Row.

    Google Scholar 

  • Siddharthan, N. S. (1988). In-house R&D, imported technology, and firm size: Lessons from Indian experience. The Developing Economies, 26(3), 212–221.

    Article  Google Scholar 

  • Siddharthan, N. S. (1992). Transactions costs, technology transfer and in-house R&D: A study of the Indian private corporate sector. Journal of Economic Behavior & Organization, 18(2), 265–271.

    Article  Google Scholar 

  • Slaughter, S. (1993). Innovation and learning during implementation: A comparison of user and manufacturer innovations. Research Policy, 22(1), 81–96.

    Article  Google Scholar 

  • Smillie, I. (2000). Mastering the machine revisited: Poverty, aid and technology. London: ITDG Publishing.

    Google Scholar 

  • Smits, R. E. H. M., & Boon, W. P. C. (2008). The role of users in innovation in the pharmaceutical industry. Drug Discovery Today, 13(7–8), 353–359.

    Article  Google Scholar 

  • Stokey, N. L. (1995). R&D and economic growth. Review of Economic Studies, 62(3), 469–489.

    Article  Google Scholar 

  • Urban, G. L., & von Hippel, E. (1988). Lead user analyses for the development of new industrial products. Management Science, 34(5), 569–582.

    Article  Google Scholar 

  • Uzun, A. (2001). Technological innovation activities in Turkey: The case of manufacturing industry, 1995–1997. Technovation, 21(3), 189–196.

    Article  Google Scholar 

  • von Hippel, E. (1986). Lead users: A source of novel product concepts. Management Science, 32(7), 791–805.

    Article  Google Scholar 

  • von Hippel, E. (1988). The Sources of innovation. Oxford: Oxford University Press.

    Google Scholar 

  • von Hippel, E. (1994). “Sticky information” and the locus of problem solving: Implications for innovation. Management Science, 40(4), 429–439.

    Article  Google Scholar 

  • von Hippel, E. (2005). Democratizing innovation. Cambridge: The Massachusetts Institute of Technology Press.

    Google Scholar 

  • von Hippel, E., & Tyre, M. J. (1995). How learning by doing is done: Problem identification in novel process equipment. Research Policy, 24(1), 1–12.

    Article  Google Scholar 

  • Watanabe, C., Takayama, M., Nagamatsu, A., Tagami, T., & Griffy-Brown, C. (2002). Technology spillover as a complement for high-level R&D intensity in the pharmaceutical industry. Technovation, 22(4), 245–258.

    Article  Google Scholar 

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Correspondence to Zongyi Zhang.

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Liang, H., Zhang, Z. The effects of industry characteristics on the sources of technological product and process innovation. J Technol Transf 37, 867–884 (2012). https://doi.org/10.1007/s10961-011-9206-y

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