Abstract:

It has become an irreversible trend for algorithmic management to replace traditional experience management. It is yet to be known whether algorithmic management that integrates the wisdom of “best practice” can help employees stand on the “shoulders of giants” and have more time and space to generate creativity, or leads to cognitive dependence or being confined to the “digital cage”. Based on the self-determination theory, a nonlinear framework of algorithmic management affecting employee creativity is constructed. Study 1 (pre study)  conducts text analysis on social media data using Python to obtain the emotional tendencies of the general public towards algorithmic management. Based on this, two different emotional tendencies, gain effect and loss effect, are extracted to lay the foundation for exploring the nonlinear effect of algorithmic management on creativity. Study 2 further explores the causes of nonlinearity and the role of employees’ “bottom-up” job crafting in this process. The results show that algorithmic management has an inverted U-shaped impact on creativity, internal motivation plays a mediating role, and job crafting alleviates the inverted U-shaped relationship between them. This paper clarifies the “too much is not enough” effect of algorithmic management and the internal mechanism of work remodeling to promote the internal mechanism of “enhancing strengths and supplementing weaknesses” of algorithmic management, which is of great significance for enterprises to optimize algorithmic management and promote innovation and development.

Key words:

algorithmic management, employee creativity, job crafting, self-determination theory, text analysis, inverted U-shaped impact

摘要：

算法管理替代传统经验管理已成为不可逆转的趋势。集成“最佳实践”智慧的算法管理是帮助员工站在“巨人肩上”从而拥有更多的时间和空间产生创造力，还是导致员工产生认知依赖或束缚于“数字牢笼”而使得创造力乏善可陈尚未得知。基于自我决定理论，构建了算法管理影响员工创造力的非线性框架。研究1（预研究）通过Python对社交媒体数据进行文本分析，获取社会大众对算法管理的情感倾向，并在此基础上提炼出增益效应和损耗效应两条不同的情感倾向，为探索算法管理对创造力的非线性效应奠定基础。研究2进一步探索了非线性成因以及员工“自下而上”的工作重塑在这一过程中所发挥的作用。结果发现：算法管理对创造力存在倒U型影响，内在动机起部分中介作用，工作重塑则可以缓解两者的倒U型关系。研究阐明了算法管理的“过犹不及”效应以及工作重塑促使算法管理“扬长补短”的内在机制，对企业优化算法管理从而推动创新发展具有重要意义。

关键词:

算法管理, 员工创造力, 工作重塑, 自我决定理论, 文本分析, 倒U效应