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Enterprise systems and innovations

  • Engelstätter, Benjamin

This paper analyzes the relationship between the three main enterprise systems (Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM)) and firms' innovational performance. It studies whether the enterprise systems have impacts on process as well as product innovations. Using German firm-level data, the results show that ERP and SCM systems foster the firms' likelihood to generate process innovations. In addition, ERP systems also show a positive impact on process innovation intensity. These results do not only emerge for the short-run of two years or less but remain also stable in the long-run of two to four years. Concerning product innovational performance only, CRM systems increase the firms' likelihood to acquire product innovations, although the impact only emerges for the short-run and vanishes if the long-run perspective is taken into account.

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Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 09-086.

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Date of creation: 2009
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Handle: RePEc:zbw:zewdip:09086
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  1. Thomas Hempell & Thomas Zwick, 2008. "New Technology, Work Organisation, And Innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(4), pages 331-354.
  2. Alfonso Miranda & Sophia Rabe-Hesketh, 2006. "Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables," Stata Journal, StataCorp LP, vol. 6(3), pages 285-308, September.
  3. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
  4. R. Winkelmann, 1998. "Count data models with selectivity," Econometric Reviews, Taylor & Francis Journals, vol. 17(4), pages 339-359.
  5. Flaig, Gebhard & Stadler, Manfred, 1994. "Success Breeds Success. The Dynamics of the Innovation Process," Empirical Economics, Springer, vol. 19(1), pages 55-68.
  6. Rehfeld, Katharina-Maria & Rennings, Klaus & Ziegler, Andreas, 2007. "Integrated product policy and environmental product innovations: An empirical analysis," Ecological Economics, Elsevier, vol. 61(1), pages 91-100, February.
  7. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
  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. Terza, Joseph V., 1998. "Estimating count data models with endogenous switching: Sample selection and endogenous treatment effects," Journal of Econometrics, Elsevier, vol. 84(1), pages 129-154, May.
  10. David Bach, 2005. "The challenges of classification: emerging VOIP regulation in Europe and the United States," Working Papers Economia wp05-19, Instituto de Empresa, Area of Economic Environment.
  11. Michael Fritsch, 2002. "Measuring the Quality of Regional Innovation Systems: A Knowledge Production Function Approach," International Regional Science Review, SAGE Publishing, vol. 25(1), pages 86-101, January.
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