A Proposal of a Method to Diagnose the Organizational Activation Level Using the Integrated Value Graph

Yuichi Mori, Nobuyuki Kobayashi, Eriko Hikishima, Seiko Shirasaka, Makoto Ioki

Research output: Contribution to journalArticlepeer-review


This study focuses on improving organizational problem-solving capabilities through interdependence among organization members. We propose a method to facilitate the members of the organization to actively tackle conservative issues within the organization. We propose a method to diagnose the organizational activation level using the integrated value graph, in terms of whether the organization is actively tackling conservative issues. Regarding the diagnosis and improvement of the level of organizational activation, this study classifies the form of each integrated value graph using a classification table followed by the I-I chart method. The verification process involved getting participants to use the proposed tool. Participants were both male and female, aged from 20s to 50s, and arranged in groups of three; the verification was conducted among a total of 53 participants and the resulting questionnaire responses were compared using A/B testing. Based on the results of this study, we confirm the effectiveness of aligning purpose with and undertaking action for others. Using a series of methods, including the construction and integration of value graphs, leads to an improved level of organizational activation.

Original languageEnglish
Pages (from-to)112-130
Number of pages19
JournalReview of Integrative Business and Economics Research
Issue number1
Publication statusPublished - 2020


  • Integrated Value graph
  • Organizational Activation
  • Self-organizing
  • Value Graph

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)


Dive into the research topics of 'A Proposal of a Method to Diagnose the Organizational Activation Level Using the Integrated Value Graph'. Together they form a unique fingerprint.

Cite this