IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/21752.html
   My bibliography  Save this paper

Get With the Program: Software-Driven Innovation in Traditional Manufacturing

Author

Listed:
  • Lee G. Branstetter
  • Matej Drev
  • Namho Kwon

Abstract

This paper documents the increasing importance of software for successful innovation in manufacturing sectors well beyond the traditional definition of electronics and information technology. Using panel data for 229 publicly listed firms from 18 countries across four manufacturing industries over the period 1981-2005, we find significant variation across firms in the software intensity of their innovative activity. Firms that exhibit a higher level of software intensity generate more patents per R&D dollar, and their investment in R&D is more highly valued by equity markets. We present evidence that geographic differences in the abundance of skilled software labor are an important factor in determining sample firms’ software intensity and performance.

Suggested Citation

  • Lee G. Branstetter & Matej Drev & Namho Kwon, 2015. "Get With the Program: Software-Driven Innovation in Traditional Manufacturing," NBER Working Papers 21752, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:21752
    Note: ITI PR
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w21752.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    2. Nicholas Bloom & John Van Reenen, 2007. "Measuring and Explaining Management Practices Across Firms and Countries," The Quarterly Journal of Economics, Oxford University Press, vol. 122(4), pages 1351-1408.
    3. Lee G. Branstetter & Matej Drev & Namho Kwon, 2019. "Get with the Program: Software-Driven Innovation in Traditional Manufacturing," Management Science, INFORMS, vol. 65(2), pages 541-558, February.
    4. John Van Reenen & Rupert Harrison & Rachel Griffith, 2006. "How Special Is the Special Relationship? Using the Impact of U.S. R&D Spillovers on U.K. Firms as a Test of Technology Sourcing," American Economic Review, American Economic Association, vol. 96(5), pages 1859-1875, December.
    5. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, January-J.
    6. Zvi Griliches, 1984. "Market Value, R&D, and Patents," NBER Chapters, in: R&D, Patents, and Productivity, pages 249-252, National Bureau of Economic Research, Inc.
    7. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    8. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    9. Tobin, James, 1969. "A General Equilibrium Approach to Monetary Theory," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(1), pages 15-29, February.
    10. Branstetter, Lee, 2006. "Is foreign direct investment a channel of knowledge spillovers? Evidence from Japan's FDI in the United States," Journal of International Economics, Elsevier, vol. 68(2), pages 325-344, March.
    11. James Bessen & Robert M. Hunt, 2007. "An Empirical Look at Software Patents," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 16(1), pages 157-189, March.
    12. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High Are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters, in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86, National Bureau of Economic Research, Inc.
    13. Lee G. Branstetter & Mariko Sakakibara, 2002. "When Do Research Consortia Work Well and Why? Evidence from Japanese Panel Data," American Economic Review, American Economic Association, vol. 92(1), pages 143-159, March.
    14. Perfect, Steven B. & Wiles, Kenneth W., 1994. "Alternative constructions of Tobin's q: An empirical comparison," Journal of Empirical Finance, Elsevier, vol. 1(3-4), pages 313-341, July.
    15. Zvi Griliches, 1998. "R&D and Productivity Growth at the Industry Level: Is There Still a Relationship?," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 213-240, National Bureau of Economic Research, Inc.
    16. Hall, Bronwyn H. & Oriani, Raffaele, 2006. "Does the market value R&D investment by European firms? Evidence from a panel of manufacturing firms in France, Germany, and Italy," International Journal of Industrial Organization, Elsevier, vol. 24(5), pages 971-993, September.
    17. Nicholas Bloom & John Van Reenen, 2010. "Why Do Management Practices Differ across Firms and Countries?," Journal of Economic Perspectives, American Economic Association, vol. 24(1), pages 203-224, Winter.
    18. David M. Byrne & Stephen D. Oliner & Daniel E. Sichel, 2018. "How Fast are Semiconductor Prices Falling?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 679-702, September.
    19. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    20. Bronwyn H. Hall, 1990. "The Manufacturing Sector Master File: 1959-1987," NBER Working Papers 3366, National Bureau of Economic Research, Inc.
    21. Nicholas Bloom & Raffaella Sadun & John Van Reenen, 2012. "Americans Do IT Better: US Multinationals and the Productivity Miracle," American Economic Review, American Economic Association, vol. 102(1), pages 167-201, February.
    22. William C. Brainard & James Tobin, 1968. "Pitfalls in Financial Model-Building," Cowles Foundation Discussion Papers 244, Cowles Foundation for Research in Economics, Yale University.
    23. Ashish Arora & Lee G. Branstetter & Matej Drev, 2013. "Going Soft: How the Rise of Software-Based Innovation Led to the Decline of Japan's IT Industry and the Resurgence of Silicon Valley," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 757-775, July.
    24. Trajtenberg, Manuel, 2001. "Innovation in Israel 1968-1997: a comparative analysis using patent data," Research Policy, Elsevier, vol. 30(3), pages 363-389, March.
    25. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    26. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-596, September.
    27. Rebecca Henderson & Iain Cockburn, 1994. "Measuring Competence? Exploring Firm Effects in Pharmaceutical Research," Strategic Management Journal, Wiley Blackwell, vol. 15(S1), pages 63-84, December.
    28. Adam B. Jaffe & Manuel Trajtenberg, 1996. "Flows of Knowledge from Universities and Federal Labs: Modeling the Flowof Patent Citations Over Time and Across Institutional and Geographic Boundari," NBER Working Papers 5712, National Bureau of Economic Research, Inc.
    29. Arora, Ashish & Gambardella, Alfonso, 1990. "Complementarity and External Linkages: The Strategies of the Large Firms in Biotechnology," Journal of Industrial Economics, Wiley Blackwell, vol. 38(4), pages 361-379, June.
    30. Bronwyn H. HALL & Raffaele ORIANI, 2004. "Does the Market Value R&D Investment by European Firms? Evidence from a Panel of Manufacturing Firms in France," Economics Working Papers ECO2004/13, European University Institute.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lee G. Branstetter & Matej Drev & Namho Kwon, 2019. "Get with the Program: Software-Driven Innovation in Traditional Manufacturing," Management Science, INFORMS, vol. 65(2), pages 541-558, February.
    2. Alessandra Perri & Daniela Silvestri & Francesco Zirpoli, 2019. "Technology evolution in the global automotive industry: a patent-based analysis," Working Papers 04, Department of Management, Università Ca' Foscari Venezia.
    3. Bernhard Ganglmair & Imke Reimers, 2019. "Visibility of Technology and Cumulative Innovation: Evidence from Trade Secrets Laws," CRC TR 224 Discussion Paper Series crctr224_2019_119v1, University of Bonn and University of Mannheim, Germany.
    4. Andersson, Martin & Kusetogullari, Anna & Wernberg, Joakim, 2021. "Software development and innovation: Exploring the software shift in innovation in Swedish firms," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Liu, Changqing & Li, Lei, 2021. "Place-based techno-industrial policy and innovation: Government responses to the information revolution in China," China Economic Review, Elsevier, vol. 66(C).
    6. Bäck, Asta & Hajikhani, Arash & Jäger, Angela & Schubert, Torben & Suominen, Arho, 2022. "Return of the Solow-paradox in AI? AI-adoption and firm productivity," Papers in Innovation Studies 2022/1, Lund University, CIRCLE - Centre for Innovation Research.
    7. Chris Forman & Avi Goldfarb, 2021. "Concentration and Agglomeration of IT Innovation and Entrepreneurship: Evidence from Patenting," NBER Chapters, in: The Role of Innovation and Entrepreneurship in Economic Growth, pages 95-121, National Bureau of Economic Research, Inc.
    8. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    9. Xiangfei Yuan & Haijing Hao & Chenghua Guan & Alex Pentland, 2021. "What are the key components of an entrepreneurial ecosystem in a developing economy? A longitudinal empirical study on technology business incubators in China," Papers 2103.08131, arXiv.org.
    10. Prasanna Tambe & Xuan Ye & Peter Cappelli, 2020. "Paying to Program? Engineering Brand and High-Tech Wages," Management Science, INFORMS, vol. 66(7), pages 3010-3028, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ashish Arora & Lee G. Branstetter & Matej Drev, 2013. "Going Soft: How the Rise of Software-Based Innovation Led to the Decline of Japan's IT Industry and the Resurgence of Silicon Valley," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 757-775, July.
    2. Choi, Mincheol & Lee, Chang-Yang, 2021. "Technological diversification and R&D productivity: The moderating effects of knowledge spillovers and core-technology competence," Technovation, Elsevier, vol. 104(C).
    3. Carlos J. Serrano, 2010. "The dynamics of the transfer and renewal of patents," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 686-708, December.
    4. Iwasa, Tomoko & Odagiri, Hiroyuki, 2004. "Overseas R&D, knowledge sourcing, and patenting: an empirical study of Japanese R&D investment in the US," Research Policy, Elsevier, vol. 33(5), pages 807-828, July.
    5. T. Ravichandran & Shu Han & Sunil Mithas, 2017. "Mitigating Diminishing Returns to R&D: The Role of Information Technology in Innovation," Information Systems Research, INFORMS, vol. 28(4), pages 812-827, December.
    6. Michael Noel & Mark Schankerman, 2013. "Strategic Patenting and Software Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 61(3), pages 481-520, September.
    7. Lee Branstetter & Kwon Hyeog Ug, 2004. "The Restructuring Of Japanese Research And Development: The Increasing Impact Of Science On Japanese R&D," Discussion papers 04021, Research Institute of Economy, Trade and Industry (RIETI).
    8. Bronwyn Hall & Francesca Lotti & Jacques Mairesse, 2009. "Innovation and productivity in SMEs: empirical evidence for Italy," Small Business Economics, Springer, vol. 33(1), pages 13-33, June.
    9. Gurneeta Vasudeva & Jennifer W. Spencer & Hildy J. Teegen, 2013. "Bringing the Institutional Context Back In: A Cross-National Comparison of Alliance Partner Selection and Knowledge Acquisition," Organization Science, INFORMS, vol. 24(2), pages 319-338, April.
    10. Verdolini, Elena & Galeotti, Marzio, 2011. "At home and abroad: An empirical analysis of innovation and diffusion in energy technologies," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 119-134, March.
    11. Markus Simeth & Michele Cincera, 2016. "Corporate Science, Innovation, and Firm Value," Management Science, INFORMS, vol. 62(7), pages 1970-1981, July.
    12. Cloodt, Myriam & Hagedoorn, John & Van Kranenburg, Hans, 2006. "Mergers and acquisitions: Their effect on the innovative performance of companies in high-tech industries," Research Policy, Elsevier, vol. 35(5), pages 642-654, June.
    13. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    14. Levin, Mark (Левин, Марк) & Matrosova, K. (Матросова, К.), 2016. "Research, Modeling and Process Management Dissemination of Innovations in Socio-Economic Systems [Исследование, Моделирование И Управление Процессами Распространения Инноваций В Социально-Экономиче," Working Papers 1443, Russian Presidential Academy of National Economy and Public Administration.
    15. Cristiano Antonelli & Alessandra Colombelli, 2011. "The generation and exploitation of technological change: market value and total factor productivity," The Journal of Technology Transfer, Springer, vol. 36(4), pages 353-382, August.
    16. Rentocchini, Francesco, 2011. "Sources and characteristics of software patents in the European Union: Some empirical considerations," Information Economics and Policy, Elsevier, vol. 23(1), pages 141-157, March.
    17. Mancusi, Maria Luisa, 2004. "International spillovers and absorptive capacity: a cross-country, cross-sector analysis based on European patents and citations," LSE Research Online Documents on Economics 6737, London School of Economics and Political Science, LSE Library.
    18. Hagedoorn, John & Cloodt, Myriam, 2003. "Measuring innovative performance: is there an advantage in using multiple indicators?," Research Policy, Elsevier, vol. 32(8), pages 1365-1379, September.
    19. David Popp, 2005. "They Don't Invent Them Like They Used To: An Examination of Energy Patent Citations Over Time," NBER Working Papers 11415, National Bureau of Economic Research, Inc.
    20. Chung-Jen Chen & Bou-Wen Lin & Jun-You Lin & Yung-Chang Hsiao, 2020. "Learning-from-parents: exploitative knowledge acquisition and the innovation performance of joint venture," The Journal of Technology Transfer, Springer, vol. 45(1), pages 228-258, February.

    More about this item

    JEL classification:

    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:21752. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.