IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i1p137-151.html
   My bibliography  Save this article

Innovation efficiency and firm performance in a benchmarking context

Author

Listed:
  • Vassilis Kanellopoulos
  • Kostas Tsekouras

Abstract

This paper examines the effect of innovation efficiency on firm performance using the Greek version of the Community Innovation Survey (CIS) 2012–2014 and employs a dataset of 1,274 innovative manufacturing firms. Introducing a data envelopment analysis (DEA)‐type benchmarking strategy with non‐continuous knowledge inputs, the main findings suggest that innovation efficiency, although does not exert a direct impact on firm performance, moderates the relationship between the internally generated knowledge and firm performance. On the other hand, such a moderation relationship is not confirmed for the relationship between external knowledge and innovation spillovers on firm's performance. Although the impact of the embodied to innovation inputs spillovers, on firm performance, is always positive and significant, empirical results indicate that absorptive capacity exhibits diminishing returns with respect to performance.

Suggested Citation

  • Vassilis Kanellopoulos & Kostas Tsekouras, 2023. "Innovation efficiency and firm performance in a benchmarking context," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(1), pages 137-151, January.
  • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:1:p:137-151
    DOI: 10.1002/mde.3670
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3670
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3670?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. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    2. André Klevenhusen & Jonas Coelho & Leo Warszawski & Jorge Moreira & Peter Wanke & João J. Ferreira, 2021. "Innovation Efficiency in OECD Countries: a Non-parametric Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(3), pages 1064-1078, September.
    3. Helmut Fryges & Joachim Wagner, 2016. "Exports and Profitability — First Evidence for German Manufacturing Firms," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 7, pages 245-277, World Scientific Publishing Co. Pte. Ltd..
    4. Alexander Vogel & Joachim Wagner, 2016. "Exports and Profitability — First Evidence for German Business Services Enterprises," World Scientific Book Chapters, in: Microeconometrics of International Trade, chapter 8, pages 279-310, World Scientific Publishing Co. Pte. Ltd..
    5. Areti Gkypali & Kostas Tsekouras, 2015. "Productive performance based on R&D activities of low-tech firms: an antecedent of the decision to export?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(8), pages 801-828, November.
    6. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    7. Agustí Segarra & Mercedes Teruel, 2014. "High-growth firms and innovation: an empirical analysis for Spanish firms," Small Business Economics, Springer, vol. 43(4), pages 805-821, December.
    8. Michael Fritsch & Viktor Slavtchev, 2010. "How does industry specialization affect the efficiency of regional innovation systems?," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 45(1), pages 87-108, August.
    9. Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.
    10. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    11. Colombelli, Alessandra & Haned, Naciba & Le Bas, Christian, 2013. "On firm growth and innovation: Some new empirical perspectives using French CIS (1992–2004)," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 14-26.
    12. Subal Kumbhakar & Raquel Ortega-Argilés & Lesley Potters & Marco Vivarelli & Peter Voigt, 2012. "Corporate R&D and firm efficiency: evidence from Europe’s top R&D investors," Journal of Productivity Analysis, Springer, vol. 37(2), pages 125-140, April.
    13. Mariana Mazzucato & Stuart Parris, 2015. "High-growth firms in changing competitive environments: the US pharmaceutical industry (1963 to 2002)," Small Business Economics, Springer, vol. 44(1), pages 145-170, January.
    14. Shantanu Dutta & Om Narasimhan & Surendra Rajiv, 2005. "Conceptualizing and measuring capabilities: methodology and empirical application," Strategic Management Journal, Wiley Blackwell, vol. 26(3), pages 277-285, March.
    15. Lorena M. D'Agostino & Keld Laursen & Grazia D. Santangelo, 2013. "The impact of R&D offshoring on the home knowledge production of OECD investing regions," Journal of Economic Geography, Oxford University Press, vol. 13(1), pages 145-175, January.
    16. Koellinger, Ph.D., 2008. "The Relationship between Technology, Innovation, and Firm Performance: Empirical Evidence on E-Business in Europe," ERIM Report Series Research in Management ERS-2008-031-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Tsekouras, Kostas D. & Pantzios, Christos J. & Karagiannis, Giannis, 2004. "Malmquist productivity index estimation with zero-value variables: The case of Greek prefectural training councils," International Journal of Production Economics, Elsevier, vol. 89(1), pages 95-106, May.
    18. Erik Stam & Karl Wennberg, 2009. "The roles of R&D in new firm growth," Small Business Economics, Springer, vol. 33(1), pages 77-89, June.
    19. Claudio Ferraz & Frederico Finan & Dimitri Szerman, 2015. "Procuring Firm Growth: The Effects of Government Purchases on Firm Dynamics," NBER Working Papers 21219, National Bureau of Economic Research, Inc.
    20. 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.
    21. Liao, Tung-Shan & Rice, John, 2010. "Innovation investments, market engagement and financial performance: A study among Australian manufacturing SMEs," Research Policy, Elsevier, vol. 39(1), pages 117-125, February.
    22. Andrea Conte & Marco Vivarelli, 2014. "Succeeding in innovation: key insights on the role of R&D and technological acquisition drawn from company data," Empirical Economics, Springer, vol. 47(4), pages 1317-1340, December.
    23. Xufei Ma & Xiaotao Yao & Youmin Xi, 2006. "Business group affiliation and firm performance in a transition economy: A focus on ownership voids," Asia Pacific Journal of Management, Springer, vol. 23(4), pages 467-483, December.
    24. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    25. Auh, Seigyoung & Menguc, Bulent, 2005. "Balancing exploration and exploitation: The moderating role of competitive intensity," Journal of Business Research, Elsevier, vol. 58(12), pages 1652-1661, December.
    26. Gkypali, Areti & Love, James H. & Roper, Stephen, 2021. "Export status and SME productivity: Learning-to-export versus learning-by-exporting," Journal of Business Research, Elsevier, vol. 128(C), pages 486-498.
    27. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
    28. 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.
    29. 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.
    30. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    31. Caterina Santi & Pietro Santoleri, 2017. "Exploring the link between innovation and growth in Chilean firms," Small Business Economics, Springer, vol. 49(2), pages 445-467, August.
    32. Michael Fritsch & Viktor Slavtchev, 2011. "Determinants of the Efficiency of Regional Innovation Systems," Regional Studies, Taylor & Francis Journals, vol. 45(7), pages 905-918.
    33. Burcu Fazlıoğlu & Başak Dalgıç & Ahmet Burçin Yereli, 2019. "The effect of innovation on productivity: evidence from Turkish manufacturing firms," Industry and Innovation, Taylor & Francis Journals, vol. 26(4), pages 439-460, April.
    34. Coad, Alex & Rao, Rekha, 2008. "Innovation and firm growth in high-tech sectors: A quantile regression approach," Research Policy, Elsevier, vol. 37(4), pages 633-648, May.
    35. Maryann Feldman, 1999. "The New Economics Of Innovation, Spillovers And Agglomeration: Areview Of Empirical Studies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 5-25.
    36. Paul Geroski & Mariana Mazzucato, 2002. "Learning and the sources of corporate growth," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(4), pages 623-644, August.
    37. Kounetas, Kostas & Tsekouras, Kostas, 2010. "Are the Energy Efficiency Technologies efficient?," Economic Modelling, Elsevier, vol. 27(1), pages 274-283, January.
    38. 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.
    39. Werner Hölzl, 2009. "Is the R&D behaviour of fast-growing SMEs different? Evidence from CIS III data for 16 countries," Small Business Economics, Springer, vol. 33(1), pages 59-75, June.
    40. Audretsch, D-B & Menkveld, A-J & Thurik, A-R, 1996. "The Decision Between Internal and External R&D," Papers 9603/e, NEUHUYS - RESEARCH INSTITUTE FOR SMALL AND MEDIUM.
    41. Roper, Stephen & Love, James H. & Bonner, Karen, 2017. "Firms’ knowledge search and local knowledge externalities in innovation performance," Research Policy, Elsevier, vol. 46(1), pages 43-56.
    42. H. Pierre Hsieh & Yueh‐Cheng Wu & Wen‐Min Lu & Yao‐Chieh Chen, 2020. "Assessing and ranking the innovation ability and business performance of global companies in the aerospace and defense industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 952-963, September.
    43. Hou, Zhezhi & Jin, Man & Kumbhakar, Subal C., 2020. "Productivity spillovers and human capital: A semiparametric varying coefficient approach," European Journal of Operational Research, Elsevier, vol. 287(1), pages 317-330.
    44. Gkypali, Areti & Filiou, Despoina & Tsekouras, Kostas, 2017. "R&D collaborations: Is diversity enhancing innovation performance?," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 143-152.
    45. Amankwah-Amoah, Joseph & Adomako, Samuel, 2021. "The effects of knowledge integration and contextual ambidexterity on innovation in entrepreneurial ventures," Journal of Business Research, Elsevier, vol. 127(C), pages 312-321.
    46. Ramani, Shyama V. & El-Aroui, Mhamed-Ali & Carrère, Myriam, 2008. "On estimating a knowledge production function at the firm and sector level using patent statistics," Research Policy, Elsevier, vol. 37(9), pages 1568-1578, October.
    47. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    48. David Audretsch & Alex Coad & Agustí Segarra, 2014. "Firm growth and innovation," Small Business Economics, Springer, vol. 43(4), pages 743-749, December.
    49. Koellinger, Philipp, 2008. "The relationship between technology, innovation, and firm performance--Empirical evidence from e-business in Europe," Research Policy, Elsevier, vol. 37(8), pages 1317-1328, September.
    50. Juying Zeng & Domingo Ribeiro-Soriano & Jun Ren, 2021. "Innovation efficiency: a bibliometric review and future research agenda," Asia Pacific Business Review, Taylor & Francis Journals, vol. 27(2), pages 209-228, March.
    51. Eckhardt Bode, 2004. "The spatial pattern of localized R&D spillovers: an empirical investigation for Germany," Journal of Economic Geography, Oxford University Press, vol. 4(1), pages 43-64, January.
    52. Zheng, Jinghai & Liu, Xiaoxuan & Bigsten, Arne, 2003. "Efficiency, technical progress, and best practice in Chinese state enterprises (1980-1994)," Journal of Comparative Economics, Elsevier, vol. 31(1), pages 134-152, March.
    53. Shyama V. Ramani & Mhamed-Ali El-Aroui & Myriam Carrère, 2008. "On estimating a knowledge production function at the firm and sectoral level using patent statistics," Post-Print hal-00365396, HAL.
    54. Bernard Hoekman & Marco Sanfilippo, 2020. "Foreign participation in public procurement and firm performance: evidence from sub-Saharan Africa," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(1), pages 41-73, February.
    55. Gao, Wenlian & Chou, Julia, 2015. "Innovation efficiency, global diversification, and firm value," Journal of Corporate Finance, Elsevier, vol. 30(C), pages 278-298.
    56. Zhang, Anming & Zhang, Yimin & Zhao, Ronald, 2003. "A study of the R&D efficiency and productivity of Chinese firms," Journal of Comparative Economics, Elsevier, vol. 31(3), pages 444-464, September.
    57. Jose Albors-Garrigos & Rosa Rodriguez Barrera, 2011. "Impact Of Public Funding On A Firm'S Innovation Performance: Analysis Of Internal And External Moderating Factors," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1297-1322.
    58. James Love & Mica Ariana Mansury, 2007. "External Linkages, R&D and Innovation Performance in US Business Services," Industry and Innovation, Taylor & Francis Journals, vol. 14(5), pages 477-496.
    59. Fu, Xiaolan, 2012. "How does openness affect the importance of incentives for innovation?," Research Policy, Elsevier, vol. 41(3), pages 512-523.
    60. Kleoniki Kalapouti & Konstantinos Petridis & Chrisovalantis Malesios & Prasanta Kumar Dey, 2020. "Measuring efficiency of innovation using combined Data Envelopment Analysis and Structural Equation Modeling: empirical study in EU regions," Annals of Operations Research, Springer, vol. 294(1), pages 297-320, November.
    61. James H. Love & Stephen Roper & Priit Vahter, 2014. "Learning from openness: The dynamics of breadth in external innovation linkages," Strategic Management Journal, Wiley Blackwell, vol. 35(11), pages 1703-1716, November.
    62. Griliches, Zvi & Regev, Haim, 1995. "Firm productivity in Israeli industry 1979-1988," Journal of Econometrics, Elsevier, vol. 65(1), pages 175-203, January.
    63. Sérgio Kannebley & Júlia Sekkel & Bruno Araújo, 2010. "Economic performance of Brazilian manufacturing firms: a counterfactual analysis of innovation impacts," Small Business Economics, Springer, vol. 34(3), pages 339-353, April.
    64. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    65. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    66. Rajiv D. Banker & Richard C. Morey, 1986. "The Use of Categorical Variables in Data Envelopment Analysis," Management Science, INFORMS, vol. 32(12), pages 1613-1627, December.
    67. Panagiotis Ganotakis & James H Love, 2012. "Export propensity, export intensity and firm performance: The role of the entrepreneurial founding team," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 43(8), pages 693-718, October.
    68. Pu‐Yan Nie & Xu Xiao & Chan Wang & Ting Cui, 2020. "Innovation subsidy under duopoly," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 362-370, April.
    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. German Blanco & Rajeev K. Goel, 2023. "Do weak institutions undermine global innovation production efficiency?," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1813-1838, October.

    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. Caterina Santi & Pietro Santoleri, 2017. "Exploring the link between innovation and growth in Chilean firms," Small Business Economics, Springer, vol. 49(2), pages 445-467, August.
    2. Stefano Bianchini & Federico Tamagni & Gabriele Pellegrino, 2016. "Innovation strategies and firm growth," Working Papers 2016/10, Institut d'Economia de Barcelona (IEB).
    3. Cruz-Cázares, Claudio & Bayona-Sáez, Cristina & García-Marco, Teresa, 2013. "You can’t manage right what you can’t measure well: Technological innovation efficiency," Research Policy, Elsevier, vol. 42(6), pages 1239-1250.
    4. Daniele Moschella & Federico Tamagni & Xiaodan Yu, 2019. "Persistent high-growth firms in China’s manufacturing," Small Business Economics, Springer, vol. 52(3), pages 573-594, March.
    5. SooGeun Ahn & Jeewhan Yoon & YoungJun Kim, 2018. "The innovation activities of small and medium-sized enterprises and their growth: quantile regression analysis and structural equation modeling," The Journal of Technology Transfer, Springer, vol. 43(2), pages 316-342, April.
    6. Alex Coad & Nanditha Mathew & Emanuele Pugliese, 2017. "What's good for the goose ain't good for the gander: cock-eyed counterfactuals and the performance effects of R&D," LEM Papers Series 2017/21, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    7. Yannis Caloghirou & Ioannis Giotopoulos & Alexandra Kontolaimou & Aggelos Tsakanikas, 2022. "Inside the black box of high-growth firms in a crisis-hit economy: corporate strategy, employee human capital and R&D capabilities," International Entrepreneurship and Management Journal, Springer, vol. 18(3), pages 1319-1345, September.
    8. Agustí Segarra & Mercedes Teruel, 2014. "High-growth firms and innovation: an empirical analysis for Spanish firms," Small Business Economics, Springer, vol. 43(4), pages 805-821, December.
    9. Liu, Hui-hui & Yang, Guo-liang & Liu, Xiao-xiao & Song, Yao-yao, 2020. "R&D performance assessment of industrial enterprises in China: A two-stage DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Wang, Qunwei & Hang, Ye & Sun, Licheng & Zhao, Zengyao, 2016. "Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 254-261.
    11. Agustí Segarra-Blasco & Mercedes Teruel & Elisenda Jové-Llopis, 2018. "High-growth firms in European countries: The role of innovation," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(75), pages 637-808, January.
    12. Khoshnevis, Pegah & Teirlinck, Peter, 2018. "Performance evaluation of R&D active firms," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 16-28.
    13. Hyunseog Chung & Soomin Eum & Chulung Lee, 2019. "Firm Growth and R&D in the Korean Pharmaceutical Industry," Sustainability, MDPI, vol. 11(10), pages 1-19, May.
    14. Nanditha Mathew & George Paily, 2022. "STI-DUI innovation modes and firm performance in the Indian capital goods industry: Do small firms differ from large ones?," The Journal of Technology Transfer, Springer, vol. 47(2), pages 435-458, April.
    15. Başak Dalgıç & Burcu Fazlıoğlu, 2021. "Innovation and firm growth: Turkish manufacturing and services SMEs," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 395-419, September.
    16. Farasat A. S. Bokhari & Franco Mariuzzo & Anna Rita Bennato, 2021. "Innovation and growth in the UK pharmaceuticals: the case of product and marketing introductions," Small Business Economics, Springer, vol. 57(1), pages 603-634, June.
    17. Montresor, Sandro & Vezzani, Antonio, 2015. "The production function of top R&D investors: Accounting for size and sector heterogeneity with quantile estimations," Research Policy, Elsevier, vol. 44(2), pages 381-393.
    18. Sickles, Robin C. & Song, Wonho & Zelenyuk, Valentin, 2018. "Econometric Analysis of Productivity: Theory and Implementation in R," Working Papers 18-008, Rice University, Department of Economics.
    19. Marco Capasso & Tania Treibich & Bart Verspagen, 2015. "The medium-term effect of R&D on firm growth," Small Business Economics, Springer, vol. 45(1), pages 39-62, June.
    20. Chatzistamoulou, Nikos & Kounetas, Kostas & Tsekouras, Kostas, 2022. "Technological hierarchies and learning: Spillovers, complexity, relatedness, and the moderating role of absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 183(C).

    More about this item

    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:wly:mgtdec:v:44:y:2023:i:1:p:137-151. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.