IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v28y2017i3p661-675.html
   My bibliography  Save this article

Does Information Technology Improve Open Innovation Performance? An Examination of Manufacturers in Spain

Author

Listed:
  • Jaime Gómez

    (Departamento de Economía y Empresa, Universidad de La Rioja, 26004 Logroño (La Rioja), España)

  • Idana Salazar

    (Departamento de Economía y Empresa, Universidad de La Rioja, 26004 Logroño (La Rioja), España)

  • Pilar Vargas

    (Departamento de Economía y Empresa, Universidad de La Rioja, 26004 Logroño (La Rioja), España)

Abstract

Our objective in this paper is to explore the impact of information technology (IT) on the performance of open innovation models. We study the effect of IT on the production of patents and product innovations. Our analysis of a large panel of Spanish manufacturing firms confirms that the effect of the proportion of external research and development (R&D) investments on the production of patents and new products has an inverted U-shape. The results also reveal that investments in IT positively moderate the consequences of open innovation on innovation performance by reducing identification, assimilation , and utilization costs . Our results provide evidence of the viability and benefit of a new strategic alternative to innovation that is different than the traditional process of vertically integrated R&D.

Suggested Citation

  • Jaime Gómez & Idana Salazar & Pilar Vargas, 2017. "Does Information Technology Improve Open Innovation Performance? An Examination of Manufacturers in Spain," Information Systems Research, INFORMS, vol. 28(3), pages 661-675, September.
    • Handle: RePEc:inm:orisre:v:28:y:2017:i:3:p:661-675
    DOI: 10.1287/isre.2017.0705
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/isre.2017.0705
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.2017.0705?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Richard A. D'Aveni & Giovanni Battista Dagnino & Ken G. Smith, 2010. "The age of temporary advantage," Strategic Management Journal, Wiley Blackwell, vol. 31(13), pages 1371-1385, December.
    2. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-283, June.
    3. 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.
    4. Dahlander, Linus & Gann, David M., 2010. "How open is innovation?," Research Policy, Elsevier, vol. 39(6), pages 699-709, July.
    5. David J. TEECE, 2008. "Profiting from technological innovation: Implications for integration, collaboration, licensing and public policy," World Scientific Book Chapters, in: The Transfer And Licensing Of Know-How And Intellectual Property Understanding the Multinational Enterprise in the Modern World, chapter 5, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    6. Christoph Grimpe & Ulrich Kaiser, 2010. "Balancing Internal and External Knowledge Acquisition: The Gains and Pains from R&D Outsourcing," Journal of Management Studies, Wiley Blackwell, vol. 47(8), pages 1483-1509, December.
    7. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1, March.
    8. 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.
    9. Cesaroni, Fabrizio, 2004. "Technological outsourcing and product diversification: do markets for technology affect firms' strategies?," Research Policy, Elsevier, vol. 33(10), pages 1547-1564, December.
    10. Sanjeev Dewan & Kenneth L. Kraemer, 2000. "Information Technology and Productivity: Evidence from Country-Level Data," Management Science, INFORMS, vol. 46(4), pages 548-562, April.
    11. Gómez, Jaime & Vargas, Pilar, 2012. "Intangible resources and technology adoption in manufacturing firms," Research Policy, Elsevier, vol. 41(9), pages 1607-1619.
    12. Cassiman, Bruno & Golovko, Elena & Martínez-Ros, Ester, 2010. "Innovation, exports and productivity," International Journal of Industrial Organization, Elsevier, vol. 28(4), pages 372-376, July.
    13. Robert M. Salomon & J. Myles Shaver, 2005. "Learning by Exporting: New Insights from Examining Firm Innovation," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 14(2), pages 431-460, June.
    14. 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.
    15. Beneito, Pilar, 2006. "The innovative performance of in-house and contracted R&D in terms of patents and utility models," Research Policy, Elsevier, vol. 35(4), pages 502-517, May.
    16. Landon Kleis & Paul Chwelos & Ronald V. Ramirez & Iain Cockburn, 2012. "Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity," Information Systems Research, INFORMS, vol. 23(1), pages 42-59, March.
    17. 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.
    18. Sunil Mithas & M. S. Krishnan & Claes Fornell, 2016. "Research Note—Information Technology, Customer Satisfaction, and Profit: Theory and Evidence," Information Systems Research, INFORMS, vol. 27(1), pages 166-181, March.
    19. Fuentelsaz, Lucio & Gómez, Jaime & Palomas, Sergio, 2012. "Production technologies and financial performance: The effect of uneven diffusion among competitors," Research Policy, Elsevier, vol. 41(2), pages 401-413.
    20. Wesley M. Cohen & Richard R. Nelson & John P. Walsh, 2000. "Protecting Their Intellectual Assets: Appropriability Conditions and Why U.S. Manufacturing Firms Patent (or Not)," NBER Working Papers 7552, National Bureau of Economic Research, Inc.
    21. Indranil Bardhan & Viswanathan Krishnan & Shu Lin, 2013. "Research Note ---Business Value of Information Technology: Testing the Interaction Effect of IT and R&D on Tobin's Q," Information Systems Research, INFORMS, vol. 24(4), pages 1147-1161, December.
    22. Alfred Kleinknecht & Kees Van Montfort & Erik Brouwer, 2002. "The Non-Trivial Choice between Innovation Indicators," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(2), pages 109-121.
    23. Andrés Barge-Gil & Alberto López, 2015. "R versus D: estimating the differentiated effect of research and development on innovation results," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(1), pages 93-129.
    24. Devinney, Timothy M., 1993. "How well do patents measure new product activity?," Economics Letters, Elsevier, vol. 41(4), pages 447-450.
    25. Richard F. J. Haans & Constant Pieters & Zi-Lin He, 2016. "Thinking about U: Theorizing and testing U- and inverted U-shaped relationships in strategy research," Strategic Management Journal, Wiley Blackwell, vol. 37(7), pages 1177-1195, July.
    26. Boris Lokshin & René Belderbos & Martin Carree, 2008. "The Productivity Effects of Internal and External R&D: Evidence from a Dynamic Panel Data Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(3), pages 399-413, June.
    27. John Bound & Clint Cummins & Zvi Griliches & Bronwyn H. Hall & Adam B. Jaffe, 1984. "Who Does R&D and Who Patents?," NBER Chapters, in: R&D, Patents, and Productivity, pages 21-54, National Bureau of Economic Research, Inc.
    28. Robert R. Wiggins & Timothy W. Ruefli, 2005. "Schumpeter's ghost: Is hypercompetition making the best of times shorter?," Strategic Management Journal, Wiley Blackwell, vol. 26(10), pages 887-911, October.
    29. Catherine M. Banbury & Will Mitchell, 1995. "The effect of introducing important incremental innovations on market share and business survival," Strategic Management Journal, Wiley Blackwell, vol. 16(S1), pages 161-182.
    30. 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.
    31. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297-297.
    32. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
    33. Jennifer F. Reinganum, 1981. "Market Structure and the Diffusion of New Technology," Bell Journal of Economics, The RAND Corporation, vol. 12(2), pages 618-624, Autumn.
    34. Brian L. Dos Santos & Zhiqiang (Eric) Zheng & Vijay S. Mookerjee & Hongyu Chen, 2012. "Are New IT-Enabled Investment Opportunities Diminishing for Firms?," Information Systems Research, INFORMS, vol. 23(2), pages 287-305, June.
    35. Bruno Cassiman & Reinhilde Veugelers & Pluvia Zuniga, 2008. "In search of performance effects of (in)direct industry science links," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(4), pages 611-646, August.
    36. 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.
    37. Christoph Grimpe & Ulrich Kaiser, 2010. "Balancing Internal and External Knowledge Acquisition: The Gains and Pains from R&D Outsourcing," Journal of Management Studies, Wiley Blackwell, vol. 47(8), pages 1483-1509, December.
    38. Srikanth Paruchuri, 2010. "Intraorganizational Networks, Interorganizational Networks, and the Impact of Central Inventors: A Longitudinal Study of Pharmaceutical Firms," Organization Science, INFORMS, vol. 21(1), pages 63-80, February.
    39. 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.
    40. Berchicci, Luca, 2013. "Towards an open R&D system: Internal R&D investment, external knowledge acquisition and innovative performance," Research Policy, Elsevier, vol. 42(1), pages 117-127.
    41. Beneito, Pilar, 2003. "Choosing among alternative technological strategies: an empirical analysis of formal sources of innovation," Research Policy, Elsevier, vol. 32(4), pages 693-713, April.
    42. Bruno Cassiman & Reinhilde Veugelers, 2006. "In Search of Complementarity in Innovation Strategy: Internal R& D and External Knowledge Acquisition," Management Science, INFORMS, vol. 52(1), pages 68-82, January.
    43. Chris Freeman & Luc Soete, 1997. "The Economics of Industrial Innovation, 3rd Edition," MIT Press Books, The MIT Press, edition 3, volume 1, number 0262061953, December.
    44. Kevin Zheng Zhou & Caroline Bingxin Li, 2012. "How knowledge affects radical innovation: Knowledge base, market knowledge acquisition, and internal knowledge sharing," Strategic Management Journal, Wiley Blackwell, vol. 33(9), pages 1090-1102, September.
    45. Michael L. Katz, 1986. "An Analysis of Cooperative Research and Development," RAND Journal of Economics, The RAND Corporation, vol. 17(4), pages 527-543, Winter.
    46. Sanjeev Dewan & Chung-ki Min, 1997. "The Substitution of Information Technology for Other Factors of Production: A Firm Level Analysis," Management Science, INFORMS, vol. 43(12), pages 1660-1675, December.
    47. Nicholas Bloom & John Van Reenen, 2002. "Patents, Real Options and Firm Performance," Economic Journal, Royal Economic Society, vol. 112(478), pages 97-116, March.
    48. Frank T. Rothaermel & Maria Tereza Alexandre, 2009. "Ambidexterity in Technology Sourcing: The Moderating Role of Absorptive Capacity," Organization Science, INFORMS, vol. 20(4), pages 759-780, August.
    49. Krishna Palepu, 1985. "Diversification strategy, profit performance and the entropy measure," Strategic Management Journal, Wiley Blackwell, vol. 6(3), pages 239-255, July.
    50. Sanjeev Dewan & Steven C. Michael & Chung-ki Min, 1998. "Firm Characteristics and Investments in Information Technology: Scale and Scope Effects," Information Systems Research, INFORMS, vol. 9(3), pages 219-232, September.
    51. K. D. Joshi & Lei Chi & Avimanyu Datta & Shu Han, 2010. "Changing the Competitive Landscape: Continuous Innovation Through IT-Enabled Knowledge Capabilities," Information Systems Research, INFORMS, vol. 21(3), pages 472-495, September.
    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. Cuevas-Vargas, Héctor & Aguirre, Joao & Parga-Montoya, Neftalí, 2022. "Impact of ICT adoption on absorptive capacity and open innovation for greater firm performance. The mediating role of ACAP," Journal of Business Research, Elsevier, vol. 140(C), pages 11-24.
    2. Gómez, Jaime & Salazar, Idana & Vargas, Pilar, 2020. "The Role Of Extramural R&D And Scientific Knowledge In Creating High Novelty Innovations: An Examination Of Manufacturing And Service Firms In Spain," Research Policy, Elsevier, vol. 49(8).
    3. Cheng, Cong & Wang, Limin, 2022. "How companies configure digital innovation attributes for business model innovation? A configurational view," Technovation, Elsevier, vol. 112(C).
    4. Xiaoli Wang & Ying Gu & Mahmood Ahmad & Chaokai Xue, 2022. "The Impact of Digital Capability on Manufacturing Company Performance," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    5. Terence J. V. Saldanha & Arvin Sahaym & Sunil Mithas & Mariana Giovanna Andrade-Rojas & Abhishek Kathuria & Hsiao-Hui Lee, 2020. "Turning Liabilities of Global Operations into Assets: IT-Enabled Social Integration Capacity and Exploratory Innovation," Information Systems Research, INFORMS, vol. 31(2), pages 361-382, June.
    6. Xin Kang & Jianzhao Yang & Liyan Yu, 2021. "Function mechanism of knowledge lattice in gazelle enterprises' relay innovation—Using knowledge matching and knowledge transfer as conducting variables," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1782-1792, October.
    7. Xingguang Guo & Xi Chen, 2023. "The Impact of Digital Transformation on Manufacturing-Enterprise Innovation: Empirical Evidence from China," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    8. Wan, Qunchao & Tang, Shiyi & Jiang, Zhenwu, 2023. "Does the development of digital technology contribute to the innovation performance of China's high-tech industry？," Technovation, Elsevier, vol. 124(C).
    9. Genghua Tang & Hongxun Mai, 2022. "How Does Manufacturing Intelligentization Influence Innovation in China from a Nonlinear Perspective and Economic Servitization Background?," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    10. Tao Feng, 2023. "Do Intelligent Manufacturing Concerns Promote Corporate Sustainability? Based on the Perspective of Green Innovation," Sustainability, MDPI, vol. 15(14), pages 1-21, 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. Gómez, Jaime & Salazar, Idana & Vargas, Pilar, 2020. "The Role Of Extramural R&D And Scientific Knowledge In Creating High Novelty Innovations: An Examination Of Manufacturing And Service Firms In Spain," Research Policy, Elsevier, vol. 49(8).
    2. Hagedoorn, John & Wang, Ning, 2012. "Is there complementarity or substitutability between internal and external R&D strategies?," Research Policy, Elsevier, vol. 41(6), pages 1072-1083.
    3. 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.
    4. 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.
    5. 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.
    6. Hagedoorn, John & Wang, Ning, 2010. "Is there complementarity or substitutability between internal and external R&D strategies?," MERIT Working Papers 2010-005, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Wang, Ning & Hagedoorn, John, 2014. "The lag structure of the relationship between patenting and internal R&D revisited," Research Policy, Elsevier, vol. 43(8), pages 1275-1285.
    8. Beneito, Pilar, 2006. "The innovative performance of in-house and contracted R&D in terms of patents and utility models," Research Policy, Elsevier, vol. 35(4), pages 502-517, May.
    9. Cohen, Wesley M., 2010. "Fifty Years of Empirical Studies of Innovative Activity and Performance," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 129-213, Elsevier.
    10. 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.
    11. Julio Diéguez-Soto & María J. Martínez-Romero, 2019. "Family Involvement in Management and Product Innovation: The Mediating Role of R&D Strategies," Sustainability, MDPI, vol. 11(7), pages 1-24, April.
    12. 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).
    13. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).
    14. Louise Lindbjerg & Theodor Vladasel, 2021. "Hiring Entrepreneurs for Innovation," Working Papers 1309, Barcelona School of Economics.
    15. Wenjing Wang, 2014. "Do specialists exit the firm outsourcing its R&D?," Economics Working Papers 2014-21, Department of Economics and Business Economics, Aarhus University.
    16. Shiferaw Gurmu & Fidel Pérez-Sebastián, 2008. "Patents, R&D and lag effects: evidence from flexible methods for count panel data on manufacturing firms," Empirical Economics, Springer, vol. 35(3), pages 507-526, November.
    17. Papazoglou, Michalis E. & Spanos, Yiannis E., 2021. "“Influential knowledge and financial performance: The role of time and rivals’ absorptive capacity”," Technovation, Elsevier, vol. 102(C).
    18. Masatoshi Kato, 2016. "Internal R&D and External Knowledge Acquisition of Start-up Firms: Exploring the Role of Entrepreneurial Human Capital," Discussion Paper Series 145, School of Economics, Kwansei Gakuin University, revised Jul 2016.
    19. Alka Chadha & Raffaele Oriani, 2010. "R&D market value under weak intellectual property rights protection: the case of India," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 59-74, January.
    20. Gkypali, Areti & Arvanitis, Spyros & Tsekouras, Kostas, 2018. "Absorptive capacity, exporting activities, innovation openness and innovation performance: A SEM approach towards a unifying framework," Technological Forecasting and Social Change, Elsevier, vol. 132(C), pages 143-155.

    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:inm:orisre:v:28:y:2017:i:3:p:661-675. See general information about how to correct material in RePEc.

    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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.