In the context of science and technology, innovation and digital transformation are increasingly seen as growth drivers, the requirements for state management agencies also change. Instead of focusing on controlling procedures, the new approach is aimed at creating conditions and leading development.
According to information from the Ministry of Science and Technology, after a year of implementation of the merger, the governance model is gradually being adjusted in a more flexible direction, associated with efficiency and practice.
Talking to Lao Dong Newspaper, Mr. Hoang Anh Tu - Deputy Director of the Department of Science and Technology (Ministry of Science and Technology) said that management is shifting from controlling processes to evaluating efficiency on a digital platform. Instead of focusing on each step of implementation, management is oriented towards final results and socio-economic impacts.
Along with changes in management approaches, policy tools are also adjusted in the direction of supporting innovation activities. Mr. Chu Thuc Dat - Deputy Director of the Innovation Department (Ministry of Science and Technology) said that legal regulations have supplemented a controlled testing mechanism for new technologies and business models.
The State policy of purchasing and disseminating technology in the form of incentives or conditional use rights is expected to help businesses access technology faster and reduce innovation costs.
This change also affects the management of science and technology tasks. If previously focusing on input control, now shifting to measuring by socio-economic efficiency and applicability. Tasks are assigned according to specific problems, associated with productivity, growth and competitiveness, and are managed on a unified digital platform.
In the field of digital transformation, Mr. Le Anh Tuan - Deputy Director of the National Digital Transformation Authority (Ministry of Science and Technology) said that the new approach is reflected in the fact that management agencies do not directly replace, but focus on perfecting institutions, standards and common infrastructure. The operating method is also adjusted from processing procedures to data-based management, in real time, with people and businesses as the main service objects.
According to information from the Office of the Ministry of Science and Technology, this governance model is implemented through many contents such as shifting from "pre-inspection" to "post-inspection", increasing autonomy for organizations and individuals and associated with accountability.
Along with that, a mechanism for accepting and sharing risks in research is set out, allowing tasks using the state budget not to have to reimburse costs if they have followed the correct procedures but do not achieve the goal.
The application of digital platforms in management is also being promoted, in order to monitor progress, evaluate efficiency and transparentize science and technology activities. Data from the system is used as a basis for policy adjustment and resource allocation.
Regarding the financial mechanism, the adjustment direction is to simplify procedures and increase autonomy for the task-taking organization. The right to own research results is assigned to the implementing unit, accompanied by a mechanism for contract spending and profit sharing from commercialization.
Another content is the orientation of businesses to participate more deeply in the innovation system. Preferential policies, financial support, shared infrastructure and ordering mechanisms are built to create conditions for businesses to access and apply technology.
Policies for science and technology human resources are also mentioned, with the orientation of strengthening incentives and attracting talent through more flexible mechanisms.
At the local level, the implementation of science and technology programs, innovation and digital transformation is linked to economic growth goals. Controlled experimental models and provincial-level innovation centers are considered tools to support solving practical problems.
Changes in management approaches show a trend shifting from control to creating a favorable environment for science and technology activities. However, the actual effectiveness of this model still needs to be monitored and evaluated during the implementation process.
