Visualising Transformation Strategies for Navigating Organisational Change Dynamics: A Case Study of Resource Management in a Japanese Corporation
Abstract
Diversity management is an important topic in today’s business world perspective of human resource management; however, it is difficult to align diversity management with the bottom line because it requires investments, contributions, and resources that do not return to the bottom line in the short term. In addition, the lack of a clear method for evaluating effectiveness makes it difficult to make preliminary estimates and decisions regarding strategy implementation. Currently, diversity, quality, and inclusion (DEI) research is being conducted worldwide, and a few drastic solutions have been proposed. This study focuses on the implementation of DEI promotion strategies in companies and explores methods to explain the impact of such strategies in the field. This study provides a way to explain the value of strategies such as DEI, for which quantitative evaluation methods have not yet been established to activate organizational transformation projects in the workplace. It also provides tools to support middle managers who implement strategies in their organisations.
Keywords: Diversity Equity and Inclusion, DEI, Micro-Meso-Macro Loop, Diversity Management, Value Creation
DOI: 10.54941/ahfe1005107
Cite this paper
More from this volume
- T-shaped Professionals: The Past, Present, and Future of MyT-Me Development
- From Generative AI to Generative Organizations: A Service Lens on Organizational Learning and Development
- Exploring regulatory frameworks for AI/ML through different lenses: A comparative approach
- Harnessing Growth-Mindedness to Enhance Organizational Effectiveness
- The Allocation of Decarbonization Responsibility and Institutional Innovation Under the Value co-Creation of Service Ecosystem
- Governance of interconnected value creation systems: rules of engagement for effective cooperation among companies in a competitive context
- Towards Cognitive Service Systems–a framework for conceptualizing AI-supported value co-creation
- Co-Creation of "Value-in-Context" in High-Quality Service: A Case Study
- A form of value co-creation in an innovation success team
- Development of food bank data visualizations using eye tracking
- Role of T-shape in IT academic research
- Support Vector Machines Models for Human Decision-Making Understanding: A Different Perspective On Emotion Detection


AHFE Open Access