Tiejun Chen

Enterprise strategic management is not only an important part of enterprise work, but also an important factor to deepen the reform of management system and promote the centralized and unified management of enterprises. Enterprise strategic management is to study the major problems of survival and development of enterprises in the competitive environment from the overall and long-term point of view. It is the most important function of senior leaders of modern enterprises. Starting from the characteristics of the recognition object, this paper analyzes the individual differences of biometrics through intelligent face image recognition technology to identify biometrics, which can be used to identify different individuals. This paper studies the main problems of personnel identity authentication in the current enterprise strategic management system. Based on identity management and supported by face image recognition technology, deep learning, and cloud computing technology, the personnel management model of the management system is constructed, which solves the problems of personnel real identity authentication and personnel safety behavior control. Experiments show that the model can simplify the workflow, improve the operation efficiency, and reduce the management cost. From the perspective of enterprise system development, building a scientific enterprise strategic management system is of great significance to improve the scientific level of enterprise system management.

In a globalized and digital world, manufacturing firms have used internet technology to conduct value appropriation (VA). However, during the COVID-19 crisis, export-led manufacturing firms around the world, particularly those in developing countries, have been forced to lay off workers and cope with VA-related problems, and serious survival problems have resulted in critical corporate social responsibility (CSR)-related challenges. Whereas limited research has discussed relevant issues in nonwestern contexts, we adopt a global perspective of business model and transactional cost theory, aiming to fill this gap by investigating the mechanisms among different dimensions of CSR implementation, firm performance, and VA herein. Based on a sample of listed Chinese manufacturing firms, the results show that the CSR technique dimension is negatively related to firm performance, that the CSR content dimension is positively related to firm performance, and that VA positively moderates the relationships of all three CSR dimensions to firm performance. The main contribution here is providing a more comprehensive understanding of how different CSR dimensions reflect firms’ multiple ethical behaviors, which influence their sustainable performance, respectively, thus enriching the existing knowledge of CSR studies in a new digital era riddled with uncertainties and complexities. We also offer practical implications for other export-led manufacturing firms in developing countries facing turbulent times.