This study analyzed the organizational learning process using data posted to the company’s intranet community in the distribution department of Kyushu Electric Power Co., Inc., and the factors of participation in the intranet community using questionnaire survey results for the users. In the organizational learning process using the intranet community, it was found that phenomena such as “question-and-answer” learning that absorbs the knowledge provided by knowledge seeking, “incidental” learning that absorbs the knowledge provided by providing knowledge, and “inclusive” learning that comprehensively absorbs knowledge from the context of multiple postings occurred, and in some cases they occurred in parallel or in a chain. In addition, it was clarified that the accumulation of specialized knowledge, the number of people who perform the same work in the workplace, and personal characteristics based on workplace characteristics influence the participation in the intranet community.

Crowdfunding has been attracting the attention of various practitioners and researchers as a new method of financing. In this study, the author empirically investigated Japanese crowdfunding users through an online survey. Subjects having experience in using reward-based or donation-based crowdfunding as either supporters or proponents were recruited in a large-scale online survey panel of a Japanese research company in May 2018. The aim of this article was two-fold. First, it intended to provide an overview of the supporters of Japanese crowdfunding. Second, it aimed to clarify the diversity among Japanese crowdfunding supporters. As a result of a cluster analysis based on twenty-five variables, five clusters were extracted. The clusters significantly differed from one another in variables such as reasons of support, intention to support other projects in the future.

An approach in organizational research compares actual business cases with the logs of organizational simulation. In this approach, to compare business cases and simulation logs efficiently, an analysis method that targets only the types of micro-logs, and not micro-logs that indicate detailed records of individual agent behavior, has been proposed. However, the method is dependent on the analyst’s knowledge of the simulation model. Consequently, a room for improvement prevails in relation to the need to set log types in advance. Therefore, in this paper, a methodology that extends the following two points by employing the clustering method to micro-log analysis of the organizational simulation is proposed. First, the analyst does not have to set the type of simulation log in advance. Second, the analyst could change the analysis granularity of the simulation log. Further, we constructed an agent-based model that represents the decision-making process related to the external environment recognition of an organization and illustrated that the requirements of the proposed method are satisfied.