In recent years, self-learning, which is a method of self-directed and autonomous human capital formation by employees themselves, has attracted attention. The purpose of this paper is to clearly position self-learning, which has been less important than in the past, as a company’s human resource development policy, compared to corporate-led human resource education methods such as OJT and Off-JT and to find a way to use it effectively. We focused on the regular employees who belong to the research and development department as employees who are likely to improve their abilities by self-learning, and analyzed the relationship between the method of implementing self-learning activities and the annual income. As a result, a correlation was found between “learning by reading” and annual income throughout all ages. Also, by age groups, there was a correlation between the amount of annual income and the so-called “Asakatsu”, morning activities to pursue studies and hobbies before work, in the 20s and “activity as a lecturer” in the 50s. We found that there is a method of self-learning that has a positive effect on annual income in common regardless of age, but there are also methods of self-learning that differ depending on the age of the employee.

InformationInformation leakage causes serious problems that threaten business continuity for the organization. In order to suppress information leakage, it is necessary to establish rules that forbid deviant behavior related to information security and enforce those rules within an organization. In this research, we focus on activities that encourage members of the organization to compliance with the rules. We aim to gain knowledge on the measures that the organization should take. To achieve this purpose, we set up hypotheses based on related studies and develop a model to validate the hypotheses. We focus on activities to promote compliance with the rules of “implementation of education and motivation”, “maintenance of manuals” and “maintenance of automated control” and verify the model using covariance structure analysis. As a result, we confirm the measures that have an effect on compliance with the rules differ according to job type. Based on these results, we propose the measures to be taken to prevent information leakage according to job type.