In order to show the choice of transparency as the guiding principle of the accreditation process, the article evaluates its influence on the fundamental subprocess of self-evaluation, thereby confirming that transparency is an essential tool for continuous improvement of academic processes and those of educational quality management. It fosters educational innovation and permits the sustainability of the continuous accreditation process over time, resulting in greater probabilities of university self-regulation through systemization of the process, with the objective of continuous improvement of university degree programs. The article analyzes the influence of transparency on each activity of the self-evaluation process according to the Peruvian accreditation model prepared under the total quality approach, as a reference for other accreditation models, proposing concrete transparency actions and evaluating its influence on the stakeholder groups in the self-evaluation process, as well as on the efficiency and effectiveness of the process. It is concluded that transparency has a positive influence on the training of human capital and the formation of the university's organizational culture, facilitating dissemination, understanding and involvement of the stakeholder groups in the continuous improvement of accreditation activities and increasing their acceptance of change and commitment to the process. It is confirmed that transparency contributes toward increasing the efficiency index of the self-evaluation process by reducing operating costs through adequate, accessible, timely contribution of information by the stakeholders and through the optimization of the time spent gathering relevant information. In addition, it is concluded that transparency contributes toward increasing the effectiveness index of self-evaluation by facilitating the achievement of its objectives through synthetic, useful, reliable interpretation of the education situation and the formulation of feasible improvement plans based on the adequacy, relevance, visibility, pertinence and truthfulness of the information analyzed.
