Employee Innovation Performance Model for Traditional Small and Medium-Sized Technology Enterprises

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.

Authors

Publication Details

Published
2025-06-30
DOI
https://doi.org/10.38124/ijisrt/25jun1433
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Employee Innovation Performance Model for Traditional Small and Medium-Sized Technology Enterprises

Jie Zhang, You Zhou, Zhengyi Zhao
Innovation and Knowledge Management
article

Employee Innovation Performance Model for Traditional Small and Medium-Sized Technology Enterprises

Jie Zhang, You Zhou, Zhengyi Zhao
article en

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.

Openalex Percentile: Top 77%
Innovation and Knowledge Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Employee Innovation Performance Model for Traditional Small and Medium-Sized Technology Enterprises — Jie Zhang, You Zhou, et al. · (2025) | TGRS Research Map | TGRS