The purpose of this study is to investigate the effect of innovation tendency on the quality of production of new products. The present study is a descriptive-survey method. Also, the statistical population is the research of Saipa Company employees. Available sampling was used to select the sample group, so that finally 382 samples were collected and analyzed. The tool for measuring research variables is a questionnaire that has validity and validity. Confirmatory factor analysis was used for inferential analysis of the data and structural equation modeling was used to test the hypotheses. The results showed that the tendency to innovation has a significant impact on market-oriented, design and development of innovation resources. Market-oriented is effective on organizational creativity and quality of new products. Design affects organizational creativity and the performance of new products. Organizational creativity has a significant effect on the quality of new products. Also, the development of innovation resources has a significant effect on the quality of new products.
Javan Amani,, V., & Akbari, H. (2024). The Impact of Innovation Trend on Employee Performance in Production of New Products (Case Study: Saipa Company Employees). Engineering Management and Soft Computing, 9(2), 1-18. doi: 10.22091/jemsc.2024.7419.1161
MLA
Vadood Javan Amani,; Hamid Akbari. "The Impact of Innovation Trend on Employee Performance in Production of New Products (Case Study: Saipa Company Employees)". Engineering Management and Soft Computing, 9, 2, 2024, 1-18. doi: 10.22091/jemsc.2024.7419.1161
HARVARD
Javan Amani,, V., Akbari, H. (2024). 'The Impact of Innovation Trend on Employee Performance in Production of New Products (Case Study: Saipa Company Employees)', Engineering Management and Soft Computing, 9(2), pp. 1-18. doi: 10.22091/jemsc.2024.7419.1161
VANCOUVER
Javan Amani,, V., Akbari, H. The Impact of Innovation Trend on Employee Performance in Production of New Products (Case Study: Saipa Company Employees). Engineering Management and Soft Computing, 2024; 9(2): 1-18. doi: 10.22091/jemsc.2024.7419.1161
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