Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Using the entropy-based patent measure to explore the influences of related and unrelated technological diversification upon technological competences and firm performance

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

This study applies the entropy-based patent measure to explore the influences of related technological diversification (RTD) and unrelated technological diversification (UTD) upon technological competences and firm performance. The results show that RTD has a monotonically positive effect on technological competences and UTD has an inverse U-shaped effect on technological competences. Besides, the results demonstrate that the extent of the positive influence of RTD upon technological competences is better than that of UTD upon technological competences. If American pharmaceutical companies would like to adopt technological diversification, this study suggests that they should undertake RTD, rather than UTD. In addition, this study finds out that technological competences mediate the relationship between firm performance and both of RTD and UTD. Although RTD and UTD cannot significantly influence firm performance directly, they can positively affect firm performance indirectly through technological competences.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  • Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17, 99–120.

    Article  Google Scholar 

  • Barney, J. B., & Zajac, E. J. (1994). Competitive organizational behavior: Toward an organizationally-based theory of competitive advantage. Strategic Management Journal, 15, 5–9.

    Article  Google Scholar 

  • Blundell, R., Griffith, R., & Reenen, J. V. (1999). Market share, market value and innovation in a panel of British manufacturing firms. Review of Economic Studies, 66, 529–554.

    Article  MATH  Google Scholar 

  • Breschi, S., Lissoni, F., & Malerba, F. (2003). Knowledge-relatedness in firm technological diversification. Research Policy, 32, 69–87.

    Article  Google Scholar 

  • Cameron, A. C., & Trivedi, P. K. (1998). Regression analysis of count data. Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  • Cantwell, J., & Piscitello, L. (2000). Accumulating technological competence: Its changing impact on corporate diversification and internationalization. Industrial and Corporate Change, 9, 21–51.

    Article  Google Scholar 

  • Chandler, A. D. (1990). Scale and scope. The dynamics of industrial capitalism. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Chatterjee, S., & Blocher, J. D. (1992). Measurement of firm diversification: is it robust? Academy of Management Journal, 35(4), 874–888.

    Article  Google Scholar 

  • Chen, Y.-S., & Chang, K.-C. (2009). Using neural network to analyze the influence of the patent performance upon the market value of the US pharmaceutical companies. Scientometrics, 80(3), 637–655.

    Article  Google Scholar 

  • Chen, Y.-S., & Chang, K.-C. (2010a). Analyzing the nonlinear effects of firm size, profitability, and employee productivity on patent citations of the US pharmaceutical companies by using artificial neural network. Scientometrics, 82(1), 75–82.

    Article  Google Scholar 

  • Chen, Y.-S., & Chang, K.-C. (2010b). Exploring the nonlinear effects of patent citations, patent share, and relative patent position on market value in the US pharmaceutical industry. Technology Analysis & Strategic Management, 22(2), 153–169.

    Article  Google Scholar 

  • Chen, Y.-S., & Chang, K.-C. (2010c). The nonlinear nature of the relationships between the patent traits and corporate performance. Scientometrics, 82(1), 201–210.

    Article  Google Scholar 

  • Chen, Y.-S., & Chang, K.-C. (2010d). The relationship between a firm’s patent quality and its market value—The case of US pharmaceutical industry. Technological Forecasting and Social Change, 77(1), 20–33.

    Article  Google Scholar 

  • Chen, Y.-S., Lin, M.-J. J., & Chang, C.-H. (2006). The influence of intellectual capital on new product development performance-the manufacturing companies of Taiwan as an example. Total Quality Management and Business Excellence, 17(10), 1323–1339.

    Article  Google Scholar 

  • Chen, Y.-S., Lin, M.-J. J., & Chang, C.-H. (2009). The positive effects of relationship learning and absorptive capacity on innovation performance and competitive advantage in industrial markets. Industrial Marketing Management, 38(2), 152–158.

    Article  Google Scholar 

  • Christensen, H. K., & Montgomery, C. A. (1981). Corporate economics performance: Diversification strategy versus market structure. Strategic Management Journal, 2(4), 327–343.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • García-Morales, V. J., Ruiz-Moreno, A., & Llorens-Montes, F. J. (2007). Effects of technology absorptive capacity and technology proactivity on organizational learning, innovation and performance: An empirical examination. Technology Analysis & Strategic Management, 19(4), 527–558.

    Article  Google Scholar 

  • Garcia-Vega, M. (2006). Does technological diversification promote innovation?: An empirical analysis for European firms. Research Policy, 35, 230–246.

    Article  Google Scholar 

  • Granstrand, O. (1998). Towards a theory of the technology-based firm. Research Policy, 27, 465–489.

    Article  Google Scholar 

  • Granstrand, O., & Oskarsson, C. (1994). Technology diversification in ‘MUL-TECH’ corporations. IEEE Transactions on Engineering Management, 41, 355–364.

    Article  Google Scholar 

  • Granstrand, O., Patel, P., & Pavitt, K. (1997). Multitechnology corporations: Why they have distributed rather than distinctive core competencies. California Management Review, 39, 8–25.

    Google Scholar 

  • Griliches, Z. (1984). R&D patents and productivity. Chicago: University of Chicago Press.

    Google Scholar 

  • Hall, B. H. (2002). A note on the bias in the herfindahl based on count data. In A. Jaffe & M. Trajtenberg (Eds.), Patents, citations, and innovations. Cambridge, MA: MIT Press.

    Google Scholar 

  • Hausman, J., Hall, B. H., & Griliches, Z. (1984). Econometric models for count data with an application to the patents-R&D relationship. Econometrica, 52, 909–938.

    Article  Google Scholar 

  • Huang, Y. F., & Chen, C. J. (2010). The impact of technological diversity and organizational slack on innovation. Technovation, 30(7/8), 420–428.

    Article  Google Scholar 

  • Jacquemin, A. P., & Berry, C. H. (1979). Entropy measure of diversification and corporate growth. Journal of Industrial Economics, 27, 359–369.

    Article  Google Scholar 

  • Katila, R., & Ahuja, G. (2002). Something old, something new: A longitudinal study of search behavior and new product introduction. Academy of Management Journal, 45, 1183–1194.

    Article  Google Scholar 

  • Kermani, F., & Bonacossa, P. (2003). Patent issues and future trends in drug development. Journal of Commercial Biotechnology, 9, 332–338.

    Article  Google Scholar 

  • Kodama, F. (1986). Technological diversification of Japanese industry. Science, 233(4761), 291–296.

    Article  Google Scholar 

  • Lavie, D. (2006). The competitive advantage of interconnected firms: An extension of the resource-based view. Academy of Management Review, 31(3), 638–658.

    Article  Google Scholar 

  • Lee, Y. G., Lee, J. D., Song, Y. I., & Lee, S. J. (2007). An in-depth empirical analysis of patent citation counts using zero-inflated count data model: The case of KIST. Scientometrics, 70(1), 27–39.

    Article  Google Scholar 

  • Leonard-Barton, D. (1992). Core capabilities and core rigidities: A paradox in managing new product development. Strategic Management Journal, 13, 111–125.

    Article  Google Scholar 

  • Leten, B., Belderbos, R., & Van Looy, B. (2007). Technological diversification, coherence, and performance of firms. Journal of Product Innovation Management, 24, 567–579.

    Article  Google Scholar 

  • Levitt, B., & March, J. G. (1988). Organizational learning. Annual Review of Sociology, 14, 319–340.

    Article  Google Scholar 

  • Lin, B. W., Chen, C. J., & Wu, H. L. (2006). Patent portfolio diversity, technology strategy, and firm value. IEEE Transactions on Engineering Management, 53(1), 17–26.

    Article  MathSciNet  Google Scholar 

  • Markides, C. C., & Williamson, P. J. (1994). Related diversification, core competencies and corporate performance. Strategic Management Journal, 15, 149–165.

    Article  Google Scholar 

  • Miller, D. J. (2006). Technological diversity, related diversification, and firm performance. Strategic Management Journal, 27, 601–619.

    Article  Google Scholar 

  • Patel, P., & Pavitt, K. (1997). The technological competency of the world’s largest firms: complex path-dependent, but not much variety. Research Policy, 6, 141–156.

    Article  Google Scholar 

  • Pavitt, K. (1998). Technologies, products and organization in the innovating firm: What Adam Smith tells us and Joseph Schumpeter doesn’t. Industrial and Corporate Change, 7(3), 433–451.

    Google Scholar 

  • Pavitt, K., Robson, M., & Townsend, J. (1989). Technological accumulation, diversification and organisation in UK companies, 1945–1983. Management Science, 35, 81–99.

    Article  Google Scholar 

  • Penrose, E. T. (1959). The theory of the growth of the firm. Oxford: Basil Blackwell.

    Google Scholar 

  • Prahalad, C. K., & Hamel, G. (1990). The core competence of the corporation. Harvard Business Review, 68, 79–91.

    Google Scholar 

  • Prajogo, D. I., & Ahmed, P. K. (2006). Relationships between innovation stimulus, innovation capacity, and innovation performance. R&D Management, 36(5), 499–515.

    Article  Google Scholar 

  • Quintana-Garica, C., & Benavides-Velasco, C. A. (2008). Innovative competence, exploration and exploitation: The influence of technological diversification. Research Policy, 37, 492–507.

    Article  Google Scholar 

  • Reed, R., & Luffman, G. A. (1986). Diversification: The growing confusion. Strategic Management Journal, 7, 29–35.

    Article  Google Scholar 

  • Rijamampianina, R., Abratt, R., & February, Y. (2003). A framework for concentric diversification through sustainable competitive advantage. Management Decision, 41(4), 362–371.

    Article  Google Scholar 

  • Rumelt, R. P. (1974). Strategy, structure and economic performance. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Rumelt, R. P. (1982). Diversification strategy and profitability. Strategic Management Journal, 3, 359–369.

    Article  Google Scholar 

  • Soete, L., & Wyatt, S. (1983). The use of foreign patenting as an internationally comparable science and technology output indicator. Scientometrics, 5(1), 31–54.

    Article  Google Scholar 

  • Suzuki, J., & Kodama, F. (2004). Technological diversity of persistent innovators in Japan: Two case studies of large Japanese firms. Research Policy, 33, 531–549.

    Article  Google Scholar 

  • Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350.

    Article  Google Scholar 

  • Teece, D. J., Rumelt, R., Dosi, G., & Winter, S. G. (1994). Understanding corporate coherence: theory and evidence. Journal of Economic Behaviour and Organization, 23, 1–30.

    Article  Google Scholar 

  • Trajtenberg, M. (1990). A penny for your quotes: Patent citations and the value of innovations. Journal of Economics, 21, 172–187.

    Google Scholar 

  • Utterback, J. M. (1994). Innovation and industrial evolution mastering the dynamics of innovation. Boston: Harvard Business School Press.

    Google Scholar 

  • Valvano, S., & Vannoni, D. (2003). Diversification strategies and corporate coherence evidence from Italian leading firms. Review of Industrial Organization, 23, 25–41.

    Article  Google Scholar 

  • Walsh, S., & Linton, J. D. (2002). The measurement of technical competencies. Journal of High Technology Management Research, 13, 63–86.

    Article  Google Scholar 

  • Wang, Q., & von Tunzelmann, G. N. (2000). Complexity and the functions of the firm: breadth and depth. Research Policy, 29, 805–818.

    Article  Google Scholar 

  • Zahra, S. A., & George, G. (2002). Absorptive capacity: A review, reconceptualization, and extension. Academy of Management Review, 27, 185–203.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yu-Shan Chen.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, YS., Chang, KC. Using the entropy-based patent measure to explore the influences of related and unrelated technological diversification upon technological competences and firm performance. Scientometrics 90, 825–841 (2012). https://doi.org/10.1007/s11192-011-0557-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-011-0557-9

Keywords