Impact of digital empowerment on labor employment in manufacturing enterprises: Evidence from China

Many studies have examined the influence of digital technologies, such as robots and artificial intelligence, on enterprise labor, but few have investigated the underlying mechanisms and impact paths of digital empowerment on labor employment. Therefore, this study uses data on manufacturing enterprises listed on China's Shanghai and Shenzhen A-share markets from 2011 to 2020, and applies a panel fixed effect model to test the relationship between digital empowerment and labor employment, and the mechanisms underlying this relationship. We find that digital empowerment increases labor employment. However, the effects are heterogeneous: firms with better corporate governance, more competitive industry, and less favorable regional business environments are more motivated to optimize the structure of their labor resources. Through robustness test and mediation effect model test, we find that digital empowerment can improve enterprise human capital by increasing economies scale and managerial efficiency, especially the employment of R&D and innovation personnel and management personnel; it can also affect the amount of human capital by improving total factor productivity.

Investigating the Financial Performance of Universities of Medical Science and Health Services in Iran, Using Data Envelopment Analysis

BACKGROUND

Universities of Medical Science and Health Services (UMSHSs) are among the main organizations in Iran's health-care section. Improving their efficiency in financial resource management through creating an appropri-ate coordination between consumption and resources is strategically vital. Investigating the financial performance as well as ranking the Iranian UMSHSs is the research objective.

METHODS

The study is of descriptive and applied type. The study population includes the UMSHSs of Iran (n=42) among which 24 UMSHSs are selected. DEA is used with the aim to model and assess the financial performance in-cluding 4 inputs and 3 outputs. Also, linear regression is applied to determine the effectiveness of the applied indices as well as the level of the financial performance. Data are obtained from the Budgeting Center in the Ministry of Health and Medical Education, during 2010 mainly through forms designed based on the available balance sheets.

RESULTS

The average score of financial performance assessment for UMSHSs based on the DEA of input-oriented data is 0.74, assuming a constant scale of DEA-CRS. Thus, approximately 25% of the studied UMSHSs have maxi-mum relative performance and totally, there is about a 30% capacity to increase the financial performance in these UMSHSs.

CONCLUSION

Most Iranian UMSHSs do not have high financial performance. This can be due to problems in financial resource management especially in asset combining. Therefore, compilation and execution of a comprehensive pro-gram for organizational change and agility with the aim to create a kind of optimized combination of resources and assets is strongly recommended.