Human Resource Management Times of Emerging Digital Economy

In the era of the emerging digital economy, modern enterprises need human resource management talents. This requires comprehensive control over various management tasks, reasonable arrangements for employee business ability training, and effective improvement of the overall work efficiency of enterprises.

The HRM field is changing rapidly as it deals with a global workforce of freelancers who rely on Digital and Virtual Modes of engagement rather than face-to-face interaction. In this context, automation and analytics are becoming the norms rather than the exceptions.

Automation

With the emergence of digital firms such as Uber, AirBnB, Task Rabbit, and Upwork that offer freelance jobs and contractual employment, HR managers need to be conversant with the ways of working in the digital economy.

Using technology to automate repetitive and laborious tasks allows the human resource department to increase productivity. It also helps eliminate waste and streamline processes. This can lead to better data-driven decision-making and transparency throughout the organization.

Analytics

In the era of the emerging digital economy, some enterprises face problems in enterprise human resource management. For example, some enterprises lack a comprehensive human resources system, which cannot fully implement many control measures, and the actual level of human resource management is insufficient.

Moreover, some enterprises have an unreasonable allocation of human resources, resulting in poor overall work efficiency and a serious waste of talent. This increases the cost that enterprises must pay and causes serious economic losses.

Therefore, it is necessary to improve the level of human resources management in enterprises and enhance the effectiveness of its management. The first step is to apply modern information technology to the implementation of human resource management and control and promote more perfect and accurate human resource management.

The second step is to improve the professional management ability of managers, which can help them implement human resource management and control in accordance with the human resources management system. This can avoid major losses caused by management mistakes, reduce the number of management errors, and promote a substantial improvement in the level of human resource management in enterprises.

Artificial Intelligence

Artificial intelligence (AI) is a rapidly growing field with the potential to transform a wide range of industries. Its impact is expected to be huge, with predictions that as many as 85 million jobs will disappear due to automation by 2025.

AI can be used to automate repetitive and routine tasks, freeing up HR professionals.Time to focus on more valuable work. It can also provide 24/7 customer service through chatbots, which can respond to queries and requests from employees on a wide range of issues, including benefits questions, training concerns, and hiring needs.

A growing number of companies are already experimenting with the use of AI in their human resources practices. As a result, the demand for AI specialists is skyrocketing.

Machine Learning

Machine learning, or AI, is an increasingly important technology in human resource management. It can help HR professionals in many ways, including predictive analytics, talent acquisition, employee engagement, and performance management.

For example, a company’s HR information system can use machine learning algorithms to filter through applicant data and identify the best candidates for a position. This saves time and allows HR professionals to focus on hiring new employees instead of processing paperwork.

In addition, machine learning helps automate routine HR tasks like organizing interviews and screening resumes. This frees up HR personnel to focus on strategic initiatives, improving productivity and eliminating errors that can arise from manual processes.

Machine learning has been used in many different fields, from predicting customer behavior to developing the operating system for self-driving cars. It also has applications in health care, transportation, retail, and agriculture.