Modeling Factors Affecting Innovation Performance of the Firms in the Advanced Materials Sector in Iran: A Quantitative Approach Based on Structural Equations

Document Type : Research Paper

Authors

1 Research Fellow, Technology Studies Institute, PhD Graduate in Management of Technology,

2 Faculty Member of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.

3 Faculty Member of School of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.

Abstract

The various factors affecting the firm’s innovation performance are strongly influenced by the contextual factors. Considering the economic and strategic importance of the Advanced Materials Sector in Iran, this paper attempts to model the factors influencing the innovation performance of the firms in this sector. For this purpose, a survey was carried out with participation of 169 companies as a statistical sample and the obtained data were modeled by structural equations modeling through the Partial Least Squares (PLS) method. The findings showed that although both internal and external determinants have a meaningful effect on the firm’s innovation performance, the effect of external determinants is higher. In addition, it was revealed that among the external determinants, characteristics of the business environment, characteristics of the science and technology environment and characteristics of the sector, respectively, have the greatest impact on firm innovation performance. Also, among the internal determinants, organizational competencies, strategic characteristics, and demographic characteristics of the firm have the most impact on the firm’s innovation performance. As the external determinants are mostly out of the control of the firms and their managers, and are more influenced by government policies, the high impact of these factors confirms the important role of the policymakers. The policy makers are able to have a significant impact on the firm’s innovation performance by designing and implementing effective policies.

Keywords

References

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Journal of Technology Development Management
Volume 8, Issue 1
June 2020
Pages 9-46

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History

  • Receive Date: 18 July 2019
  • Revise Date: 22 June 2020
  • Accept Date: 12 August 2020

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