Authors :
Zhengyi Zhao; You Zhou; Jie Zhang
Volume/Issue :
Volume 10 - 2025, Issue 6 - June
Google Scholar :
https://tinyurl.com/44dj3db5
DOI :
https://doi.org/10.38124/ijisrt/25jun1433
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
The objectives of this research were: 1) to identify the key factors that affect employee innovation performance in
traditional small and medium-sized technology enterprises, and 2) to propose an employee innovation performance model
for traditional small and medium-sized technology enterprises. This research employed a quantitative approach. The sample
consisted of 276 employees from traditional small and medium-sized technology enterprises, selected through a simple
random sampling method. Data were collected using a structured questionnaire. Data analysis involved descriptive statistics,
correlation analysis, multiple regression, and Structural Equation Modeling (SEM) to test the relationships between the
variables. The findings revealed that: 1) self-efficacy, growth need strength, and creativity significantly affected employee
innovation performance. Self-efficacy positively affected creativity, and growth need strength enhanced creativity, indirectly
boosting employee innovation performance. Creativity was found to be a crucial driver of employee innovation performance,
and 2) the employee innovation performance model for traditional small and medium-sized technology enterprises identified
three key psychological factors—self-efficacy, growth need strength, and creativity. The model emphasized that fostering
self-efficacy and growth need strength in employees was crucial for creating an environment conducive to creativity, which
ultimately drove employee innovation performance.
Keywords :
Self-Efficacy; Growth Need Strength; Creativity; Employee Innovation Performance.
References :
- Amabile, T. M. (2018). Creativity in context: Update to the social psychology of creativity. Routledge.
- Armstrong, M., & Taylor, S. (2023). Armstrong's handbook of human resource management practice: A guide to the theory and practice of people management. Kogan Page Publishers.
- Bandura, A. (2023). Cultivate self‐efficacy for personal and organizational effectiveness. In J. Greenberg (Ed.), Principles of organizational behavior: The handbook of evidence‐based management (3rd ed., pp. 113–135). Wiley.
- Chen, F. (2023). Non-compliant tasks and employee behavior (Master’s thesis, Zhejiang University of Technology and Business).
- Chen, Y., Yuan, R., Guo, X., & Ni, T. (2024). Do foreign acquisitions improve target firms’ green innovation performance? International Review of Economics and Finance, 103, 103458. https://doi.org/10.1016/j.iref.2024.103458
- Deci, E. L., & Ryan, R. M. (2013). Intrinsic motivation and self-determination in human behavior. Springer Science & Business Media.
- Gelaidan, H. M., Al-Swidi, A. K., & Al-Hakimi, M. A. (2024). Servant and authentic leadership as drivers of innovative work behaviour: The moderating role of creative self-efficacy. European Journal of Innovation Management, 27(6), 1938–1966. https://doi.org/10.1108/EJIM-10-2022-0531
- Gist, M. E. (1987). Self-efficacy: Implications for organizational behavior and human resource management. Academy of management review, 12(3), 472-485.
- Gui, C., Zhao, X., Zhang, P., Liu, Z., & Zhou, R. (2024). The impact mechanism of employees' AI awareness on their innovation performance in the context of digital intelligence. China Human Resources Development, (08), 6–22. https://doi.org/10.16471/j.cnki.11-2822/c.2024.8001
- Hao, S. (2024). Configuration research of green innovation performance improvement path for listed logistics enterprises (Master’s thesis, Inner Mongolia University of Finance and Economics). https://doi.org/10.27797/d.cnki.gnmgc.2024.000042
- Huang, L. (2023). The impact of job matching on employee job performance in Company A (Master’s thesis, East China Jiaotong University). https://doi.org/10.27147/d.cnki.ghdju.2023.000159
- Jiang, Y., Wang, H., & Xu, J. (2023). Research on the relationship between work stress and job burnout of logistics employees: Mediated by self-efficacy. Economic Research Guide, (07), 138–141.
- Kim, J. B., Kim, J. (S.), & Koo, K. (2024). Financial information, spillovers, and innovation performance. Journal of Accounting and Public Policy, 107, 212. (Note: Check and correct volume/issue/page if "107212-" was a formatting error.)
- Li, B. (2023). The relationship between work stress and job burnout of knowledge workers: The mediating role and intervention of self-efficacy (Master’s thesis, Central China Normal University). https://doi.org/10.27159/d.cnki.ghzsu.2023.001946
- Li, J., & Jin, Y. (2023). The impact of innovation orientation of high-tech enterprises on dual innovation and innovation performance. Journal of Yanbian University (Social Sciences Edition), (06), 106–113, 139–140. https://doi.org/10.16154/j.cnki.cn22-1025/c.2023.06.013
- Li, W. (2022). The influence of self-efficacy on procrastination: The mediating role of time management disposition and self-control (Master’s thesis, Henan University).
- Liu, H., & Zhao, Z. (2024). Research on the relationship between standardization capability and innovation performance based on meta-analysis. Standard Science, (06), 6–15.
- Liu, J. (2024). Government subsidies, product market competition, and enterprise innovation performance (Master’s thesis, China Academy of Fiscal Sciences). https://doi.org/10.26975/d.cnki.gccks.2024.000019
- Lu, X., & Guo, Z. (2024). The impact of green finance on corporate green innovation performance: A risk bearing perspective. Technology and Industry, (12), 32–38.
- Maslow, A. H. (1943). A theory of human motivation. Psychological review, 50(4), 370.
- Meng, Y., Liu, Y., & Xu, L. (2021). The impact of reward deficiency on employees' involvement in creative work: The role of emotional exhaustion and growth demand intensity. Science and Management, (06), 69–75.
- Migdadi, M. M. (2022). Knowledge management processes, innovation capability and performance: An empirical study of Jordanian organizations. Knowledge and Process Management, 29(1), 84–96. https://doi.org/10.1002/kpm.1670
- Mumtaz, S., & Parahoo, S. K. (2020). Promoting employee innovation performance: The role of transformational leadership and psychological empowerment. Journal of Organizational Change Management, 35(1), 1–17. https://doi.org/10.1108/JOCM-12-2019-0382
- Nappi, V., & Kelly, K. (2022). Review of key performance indicators for measuring organizational performance. International Journal of Productivity and Performance Management, 71(1), 182–210. https://doi.org/10.1108/IJPPM-04-2020-0182
- Nie, J., & Wang, Q. (2024). Corporate social responsibility, market segmentation, and innovation performance. Environment, Development and Sustainability, 1–24.
- Papazoglou, M. E. (2024). Abandonment of core knowledge areas and innovation performance. Journal of Engineering and Technology Management, 101, 101814. https://doi.org/10.1016/j.jengtecman.2024.101814
- Shao, Z., Nadi, & Zhong, N. (2024). Research on empowering enterprise intellectual capital management and innovation performance with digitization. Chinese Market, (20), 82–85. https://doi.org/10.13939/j.cnki.zgsc.2024.20.021
- Shen, P., & Wang, Y. (2024). Executive green perception, green innovation performance, and corporate ESG performance. Journal of Jinling University of Science and Technology (Social Sciences Edition), (02), 21–29, 84. https://doi.org/10.16515/j.cnki.32-1745/c.2024.02.003
- Sun, G., Fang, J., Li, J., & Wang, X. (2024). Research on the impact of the integration of digital economy and real economy on enterprise green innovation. Technological Forecasting and Social Change, 200, 123097. https://doi.org/10.1016/j.techfore.2024.123097
- Sun, X., & Li, H. (2023). Research on equity incentives, R&D investment, and enterprise innovation performance. Productivity Research, (11), 103–108. https://doi.org/10.19374/j.cnki.14-1145/f.2023.11.019
- ang, E., Peng, Y., Zhang, Q., & Xu, Q. (2024). Research on the impact of digital culture on regional innovation performance. Journal of North China University (Social Sciences Edition), (05), 130–139.
- Wang, F. (2016). The impact of growth demand intensity on employee job performance: A status competition perspective (Master’s thesis, Huazhong University of Science and Technology). CNKI.
- Wang, Q. (2024). Optimization and innovation of performance management in the era of big data. Cloud, (29), 139–141.
- West, M. A. (2002). Sparkling fountains or stagnant ponds: An integrative model of creativity and innovation implementation in work groups. Applied psychology, 51(3), 355-387.
- Wu, Y. (2024). The impact of digital technology innovation on ESG performance: Evidence from A-share listed companies in China. In SHS Web of Conferences (Vol. 207, p. 01021). EDP Sciences.
- Xiong, J. (2021). The impact of growth demand intensity on individual creativity (Master’s thesis, Huazhong University of Science and Technology). CNKI. https://doi.org/10.27157/d.cnki.ghzku.2021.003320
- Xiong, L., & Jiang, X. (2024). Study on the impact of data element allocation on regional innovation performance. Foreign Economic and Trade, (06), 80–83, 95.
- Yin, J., Gu, Z., & Li, F. (2024). Research on the impact mechanism of venture capital on innovation performance of high-tech enterprises. Science and Economics, (04), 56–60. https://doi.org/10.14059/j.cnki.cn32-1276n.2022.4012
- Zhang, M. (2021). The impact of non-compliant tasks on role performance (Master’s thesis, Zhejiang University of Technology and Business). CNKI. https://doi.org/10.27462/d.cnki.ghzhc.2021.000369
- Zhang, Y. (2024). Cultivating a culture of innovation: The impact of leadership style on employee well-being and organizational creativity. International Journal of Global Economics and Management, 2(1), 202–210.
- Zheng, G. (2024). Innovative research on enterprise human resource performance management based on big data. Market Modernization, (14), 86–89. https://doi.org/10.14013/j.cnki.scxdh.2022.14048.
- Zhou, H., Li, Z., & Li, Z. (2024). Research on the configuration effect of innovation performance of state-owned platform enterprises under the digital background. Technological Progress and Countermeasures, 1–10.
The objectives of this research were: 1) to identify the key factors that affect employee innovation performance in
traditional small and medium-sized technology enterprises, and 2) to propose an employee innovation performance model
for traditional small and medium-sized technology enterprises. This research employed a quantitative approach. The sample
consisted of 276 employees from traditional small and medium-sized technology enterprises, selected through a simple
random sampling method. Data were collected using a structured questionnaire. Data analysis involved descriptive statistics,
correlation analysis, multiple regression, and Structural Equation Modeling (SEM) to test the relationships between the
variables. The findings revealed that: 1) self-efficacy, growth need strength, and creativity significantly affected employee
innovation performance. Self-efficacy positively affected creativity, and growth need strength enhanced creativity, indirectly
boosting employee innovation performance. Creativity was found to be a crucial driver of employee innovation performance,
and 2) the employee innovation performance model for traditional small and medium-sized technology enterprises identified
three key psychological factors—self-efficacy, growth need strength, and creativity. The model emphasized that fostering
self-efficacy and growth need strength in employees was crucial for creating an environment conducive to creativity, which
ultimately drove employee innovation performance.
Keywords :
Self-Efficacy; Growth Need Strength; Creativity; Employee Innovation Performance.