A Case Example of Analysis and Design in the Realm of Organizational Human Resources: A Proposal for In-House Measures Based on Multiple Employee Surveys
Sho Kawasaki, Doctoral Program, Business Administration, Mejiro University Graduate School Takenori Takahashi, Professor, Business Administration, Mejiro University Graduate School (Co-Author)
In this presentation, I will discuss two types of employee surveys with different purposes – conducted within a company and analyzed simultaneously – and the methodology for deriving specific in-house measures based on the results. Normally, the results of these two surveys are separately processed. However, with the screening principal component regression analysis function in JMP, it is possible to comprehensively analyze and design (propose) multiple surveys. For this case example, we combined two questionnaire surveys conducted by Company A (career measures survey and career values survey), and conducted analysis after splitting the data into a factor group and a results group. Based on the causal relationship results that were obtained, we investigated the potential of items with a strong relationship to the principal component chosen through variable selection. If there was room for growth, we proposed improvement measures, and if not, we proposed maintaining the current situation. A corporation’s organizational human resources data – both quantitative and qualitative – is scattered throughout many areas: employment, training, evaluation, labor, organizational development, etc. A comprehensive perspective, including individual employees, departmental organization, and the entire company, is a reliable way to obtain qualitative information. A statistical approach to quantitative and qualitative information is important even in the realm of organizational human resources and, by using JMP, new knowledge can be discovered through both exploratory and visual means.