TTDA: Model of Specialization of Science and Technology Human Resources by Job Position in Scientific Journals (Case Study of Vietnam Science and Technology Journal)

INFORMATION ABOUT THE MASTER'S PROJECT

1. Student's full name:Tang Xuan Binh2. Gender:Male

3. Date of birth: 27/12/1997

4. Place of birth:Hanoi

5. Decision on student admission:Decision No. 5626/QD-XHNV dated December 29, 2023, of the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi.

6. Changes in the training process:Are not

7. Project title:Model of Specialization of Science and Technology Human Resources by Job Position in Scientific Journals (Case Study of the Vietnam Journal of Science and Technology)

8. Major:Science and Technology Management; Code: 8340412

9. Scientific supervisor:

Dr. Nguyen Thi Huong Giang - Editor-in-Chief, Vietnam Journal of Science and Technology

Dr. Nguyen The Thang - Lecturer, Faculty of Management Science, University of Social Sciences and Humanities - Vietnam National University, Hanoi.

10. Summary of project results:

This project focuses on systematizing the theoretical basis of managing and developing science and technology (S&T) human resources according to job positions in scientific journals, clarifying the role of specialization and competency-based management in the operational efficiency of journals in the context of integration and digital transformation. Based on this theoretical foundation, the project analyzes the case of the Vietnam Journal of Science and Technology through secondary data combined with practical surveys and in-depth interviews, aiming to comprehensively assess the current state of human resource structure, the level of task assignment, editorial and publishing capabilities, and factors affecting the quality of the journal's operations in the 2023-2024 period. The research results show that while the current human resource structure is relatively complete, it lacks clear specialization; the practice of dual roles is still common; the editorial and publishing process lacks hierarchical structure based on positions; and training, evaluation, and compensation are not closely linked to competency standards. Based on this, the project proposes a feasible system of solutions, focusing on building and implementing a model of specialization of science and technology human resources according to job positions, thereby optimizing the editorial process, improving academic quality, increasing publication efficiency, and meeting the development requirements of the journal in the next phase. These solutions are also consistent with the orientation of modernizing public administration, standardizing according to international practices, and the goal of enhancing the competitiveness of Vietnamese scientific journals.

11. Practical applications:

The research findings of this project can serve as important reference material for state management agencies, scientific publishing units, and specialized journals in the process of building, adjusting, and perfecting the organizational model of human resources based on job positions. The proposed solutions have high applicability, especially in designing a mechanism for specializing the editorial team, perfecting the assignment and evaluation method according to the competency framework, strengthening international standard training, and promoting digital transformation in the entire editorial and publishing process. Proposals on operational mechanisms, professional standards, and performance evaluation indicators can also be integrated into scientific journal system reform programs, contributing to increased transparency, strengthened accountability, and optimized utilization of science and technology human resources in the context of increasingly demanding integration and standardization requirements.

12. Future research directions:

Based on the research results, the project opens up several avenues for further research to refine the scientific basis for building and implementing a model of specialization in science and technology human resources within scientific journals. Firstly, further research could be conducted on the impact of digital transformation and new technologies on editorial and publishing process management, particularly the application of artificial intelligence in article management and academic quality assessment. Secondly, the research scope could be expanded to include a comparative study between domestic and international scientific journals to derive an optimal model for task assignment, competency framework, and human resource structure based on job positions. Thirdly, studies could be conducted to assess the long-term impact of the specialization model on publication quality, manuscript processing time, author satisfaction, and journal competitiveness. These research directions will contribute to supporting management agencies and scientific journals in formulating human resource development strategies suitable for the context of integration and digital transformation.

13. Published works related to the project:Do not have.

INFORMATION ON MASTER'S THESIS

1. Full name:Tang Xuan Binh2. Sex:Male

3. Date of birth: 27/12/1997                    4. Place of birth:Hanoi

5. Admission decision number:Decision No. 5626/QD-XHNV Dated 29/12/2023

6. Changes in academic process:None

7. Official thesis title:Scientific and Technological Workforce Specialization Model Based on Working Position (A Case Study at The Vietnam Journal of Science, Technology and Engineering)

8. Major:Science and Technology Management Code: 8340412

9. Supervisors:

Dr. Nguyen Thi Huong Giang - Editor in Chief, Vietnam Journal of Science, Technology and Engineering

Dr. Nguyen The Thang - Lecturer, Faculty of Management Science, University of Social Sciences and Humanities - Vietnam National University, Hanoi.

10. Summary of the findings of the thesis:

The project systematizes the theoretical foundations of managing and developing science and technology (S&T) human resources based on job positions within scientific journals, highlighting the role of specialization and competency-based management in enhancing operational efficiency amid international integration and digital transformation. Building on this foundation, the project examines the case of the Vietnam Journal of Science and Technology using secondary data, surveys, and in-depth interviews to assess its human resource structure, task allocation, editorial capacity, and factors investigating performance during 2023-2024. The findings reveal limited specialization, widely concurrent duties, unclear workflow stratification, and training and evaluation mechanisms that are not aligned with competency standards. structured, the project proposes feasible solutions centered on implementing a job-position-based specialization model to optimize editorial workflows, improve academic quality, increase publication efficiency, and meet future development needs. These solutions align with ongoing public management modernization, international standards, and efforts to enhance the competitiveness of Vietnamese scientific journals.

11. Practical applicability:

The project's findings can serve as an important reference for state management agencies, scientific publishing units, and specialized journals in the process of developing, adjusting, and refining human resource models based on job positions. The proposed solutions have strong practical applicability, particularly in designing mechanisms for editorial specialization, improving competency-based task allocation and performance evaluation, enhancing internationally aligned training, and promoting digital transformation across the entire editorial and publishing workflow. The recommendations regarding operational mechanisms, professional standards, and performance indicators can also be integrated into broader reform programs for the scientific journal system, contributing to greater transparency, strengthened accountability, and more efficient utilization of S&T human resources in the context of increasing demands for international integration and standardization.

12. Further research directions:

Based on the research findings, the project opens several potential directions for further studies to strengthen the scientific foundation for developing and implementing a specialization-based human resource model in scientific journals. First, future research could examine more deeply the impact of digital transformation and emerging technologies on editorial and publishing management, particularly the use of artificial intelligence in manuscript handling and academic quality assessment. Second, comparative studies between domestic and international journals could be conducted to identify optimal models of task allocation, competency frameworks, and job-position-based human resource structures. Third, further research may evaluate the long-term impacts of specialization on publication quality, manuscript processing time, author satisfaction, and the journal's competitiveness. These directions will help support and scientific journals in formulating human resource development strategies that align with the demands of integration and digital transformation.

13. Thesis-related publicationsNone.