The conference is a forum for scientists, researchers, practitioners, students and experts working in the field of office administration and information technology to discuss issues raised when conducting digital transformation. This is also a meaningful event, demonstrating the more than 20-year tradition of cooperation between the two training units in office administration and the two-year signing of a cooperation agreement between the two schools.

The conference received 50 scientific papers by authors from many agencies, organizations and businesses across the country. The presentations focused on a number of contents: theory and practice; oppotunity and challenge; roles and responsibilities, as well as proposing successful digital transformation solutions in office administration. The discussions and opinions exchanged at the workshop agreed on four basic content groups:

1) Digital transformation in office administration plays a pioneering role and is an important foundation in implementing digital transformation of agencies, organizations and businesses; 2) The main role of the office when carrying out digital transformation is to create and convert digital data, convert working processes to digital form, perform data processing for the office's general and advisory tasks, ensure the physical conditions for the transformation, and support the training of office staffs for successful digital transformation;

3) Digital transformation is gradually changing office operations, including the introduction of new office models, specialized applications for the office, the organizational structure of the office also changes, the working process becomes leaner and more efficient than before;

4) When digital transformation is becoming more and more popular, many inadequacies of offices in many agencies and organizations have been revealed, the office staff is not ready in terms of information/digital capabilities, complex organizational structure, lack of connectivity, data linkage, multi-step working process, many unnecessary intermediaries, not based on common data mining to streamline, many and not enough technological solutions, but not yet secure enough, and many difficult and unsafe technological solutions, and etc.