%0 Journal Article %T 企业信息化背景下员工激励机制的优化研究
Research on the Optimization of Employee Incentive Mechanism under the Enterprise Informatization Background %A 张雅丹 %A 董莉霞 %J E-Commerce Letters %P 595-600 %@ 2168-5851 %D 2025 %I Hans Publishing %R 10.12677/ecl.2025.142560 %X 在企业信息化快速发展的背景下，传统的员工激励机制面临着新的挑战，如何在信息化环境中有效激励员工成为企业管理的重要课题。本研究针对这一现实问题，旨在探索信息化背景下员工激励机制的优化路径，以提升企业的整体绩效。研究通过整合信息技术与管理理论，设计了一套适用于信息化企业的激励机制模型。采用问卷调查和数据分析相结合的方法，收集并分析了多个行业的企业数据，验证了模型的有效性。研究结果表明，信息化背景下的激励机制能够显著提高员工的工作积极性和创新能力，进而提升企业的竞争力。研究的实际应用价值体现在其为企业提供了一种可操作的激励机制优化方案，具有广泛的行业适用性。同时，研究也指出了在不同企业文化和信息化程度下，激励机制的适用性差异，并提出了未来研究的方向。
In the context of the rapid development of enterprise informatization, traditional employee incentive mechanisms face new challenges. Effectively motivating employees in an informatized environment has become a crucial issue in enterprise management. This study addresses this practical problem by exploring optimization paths for employee incentive mechanisms in the context of informatization to enhance overall corporate performance. By integrating information technology with management theory, the study designs an incentive mechanism model suitable for informatized enterprises. Using a combination of questionnaire surveys and data analysis, data from various industries were collected and analyzed to validate the model’s effectiveness. The results indicate that incentive mechanisms in the context of informatization can significantly improve employees’ work enthusiasm and innovation capabilities, thereby enhancing corporate competitiveness. The practical application value of the study lies in providing enterprises with an operable incentive mechanism optimization scheme with broad industry applicability. Additionally, the study highlights differences in the applicability of incentive mechanisms under different corporate cultures and levels of informatization, and suggests directions for future research. %K 企业信息化， %K 员工激励机制， %K 绩效提升， %K 管理优化， %K 数据分析
Enterprise Informatization %K Employee Incentive Mechanism %K Performance Enhancement %K Management Optimization %K Data Analysis %U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=107473