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A New Horizon for Organizational Management: Generative AI

As the dawn of 2026 approaches, the discussion surrounding generative AI in professional environments becomes increasingly relevant. The January 2026 issue of 'Omni Management' from the Japan Management Association, led by President Takahara Gohku, presents an insightful overview that combines governmental sentiments and practical implications of generative AI on management, human resource development, and local administrative operations.

The issue prominently features New Year's messages from Minister Hayashi (Minister of Internal Affairs and Communications) and Minister Akazawa (Minister of Economy, Trade and Industry). These messages serve to reflect on the evolving landscape of national policies and societal perspectives, underscoring the significance of generative AI in shaping future management strategies.

The Current State of Generative AI in Japanese Organizations

Recent findings from the '2024 Information and Communications White Paper' by the Ministry of Internal Affairs reveal a notable trend: while the use of generative AI is on the rise among Japanese companies, only about half have established a clear utilization policy. This disparity raises questions about preparedness and strategic implementation of AI in business processes.

In response to these concerns, the government has initiated discussions through platforms such as the 'AI Strategy Council' under the Cabinet Office and the 'Generative AI Guidelines' from the Ministry of Economy. These initiatives aim to promote effective utilization and governance of AI technologies across sectors.

Analyzing Successes and Failures

The issue's special feature thoroughly examines the current landscape of generative AI in business contexts, presenting case studies of both successful implementations and shortcomings. By comparing these examples, it highlights essential elements necessary for organizations striving for impactful outcomes with AI technology.

The nervousness among business professionals is palpable, with many expressing uncertainty about the effectiveness of AI tools in their day-to-day tasks. The editorial delves into these perspectives, aiming to provide reassurance and clarity on navigating the complexities of AI integration.

Diverse Themes Impacting Various Sectors

In addition to general insights into AI, the issue includes a variety of columns addressing specific themes critical to sectors such as healthcare, energy transition, and local government management. Each piece is crafted to deliver pertinent information that can aid decision-making and enhance operational effectiveness.

Highlighted contributions include insights from experts such as:

• - Tomoshi Nakamura (Senior Researcher at Mitsubishi Research Institute) on how to shape organizations that thrive with generative AI.
• - Ariake Honda (HR Consultant) discussing literary models that reflect the challenges faced by human resource professionals.
• - Kenjiro Hashimoto (Chancellor of Nippon Bunri University) analyzing generational patterns of success in modern work environments.

Celebrating 20 Years of Iwata City

The publication also includes a contribution from Iwata City in Shizuoka Prefecture, celebrating two decades since the city's establishment. Their message is a testament to the community's growth and the importance of fostering effective governance structures.

A Legacy of Innovation

Founded in 1949, the Japan Management Association has been a pillar in promoting the modernization and efficiency of Japanese management practices. The online transformation of 'Omni Management' in 2021 has broadened its reach, allowing a new generation of business professionals to engage with its content.

Through its continuous dedication to harmonizing management, individuals, and science, the association strives for sustainability in society. Its core mission emphasizes ongoing innovation in collaboration with its clients to shape the future of Japanese management.

This issue of 'Omni Management' offers valuable insights and serves as a vital resource for both corporate and local government professionals seeking to navigate the evolving landscape of organizational management influenced by generative AI. For further exploration of these themes, readers are encouraged to visit the following link: Omni Management.