- 1: Introduction
- IT advances are changing the rules of how we work.
- Class notes are now digital and shared in real time.
- With a shrinking population, time is running short and efficiency is needed.
- Japan is a country with advanced issues. It faces a declining birthrate and an aging population first and foremost.
- 2: Demographic change
- Population pyramid shows a large decrease in the population in their 20s in the future
- Population of 20-somethings will decrease by about 15% in the 15 years from 2015 to 2030.
- Six people will do the work of seven people, requiring a 17% efficiency improvement
- A 17% increase in workload per person would require an hour of overtime each day or cutting three days off per month.
- Konosuke Matsushita said, "Working an hour less and achieving more than ever before is progress in the way we work."
- Ingenuity is needed to achieve this.
- 3: Efficiency through AI and IT
- AI is IT in substance and is already close at hand.
- AI is just a buzzword; the substance is information processing technology (IT).
- Miura City Agricultural Cooperative: Work that used to take 8 hours can now be done in 1 second
- Automates the creation of delivery schedules for shipments with proprietary algorithms
- Work that used to take even experienced staff 5~6 hours is completed in 1 second.
- Losing your job to AI is not a bad thing. We can use our time for other jobs.
- Reduced staff workload, free time for sales, etc.
- 4: Changes due to technological advances
- Technological advances change the definition of ability ([[Masahiko Inami]], Ph.)
- A wheelchair that can go up the stairs would make the stairs barrier-free.
- Example of alter-ego robot café: Enabling physically disabled people to serve customers
- Greater scope for information sharing and a culture of openness and fairness
- As information is shared, distrust of not sharing is created.
- Computers don't forget because shared information doesn't disappear
- Digital data can be both shared and kept confidential by setting access rights.
- Minutes of management strategy meetings are now also shared.
- Just restrict access to the parts that cannot be made public.
- 5: Changes in organizational structure
- Increased information sharing leads to more decentralized decision making
- It was the bottleneck that carried the information to management, who gathered the information and made the decisions.
- Information sharing costs have dropped, so decision-making itself has become a bottleneck.
- There has been a move to delegate decision-making authority to the field.
- Creating a pluralistic organization that recognizes diverse work styles
- Company and personal visions do not have to coincide. We can positively influence each other.
- Recognizing 100 different ways of working for 100 different people
- Cybozu case study: 100 people, 100 different ways to work. Flexibility to transfer after maternity leave.
- Discussion ensued regarding transfer orders for employees returning from maternity leave.
- Identical treatment is "equality," but adapting to individual needs is "happiness.
- 6: Review the rules of how you work.
- Many of the rules for how we work are policy constraints set in the past
- Companies that have been around for over 30 years are using old rules that were created back then.
- Rules that do not fit the current situation should be changed. Let's find policy constraints.
- Notice the expression "shall" in the conversation.
- Consider whether it is a physical or policy constraint.
- 7: Issues in Japan
- Chinese RoboCon "RoboMaster" Culture Makes Engineers Heroes
- MVPs are awarded and animated.
- Technical commentary will be given in between.
- Japan Underestimates China Too Much
- Low awareness in Japan that China is driving the global economy
- Catchphrase: "Time is money, efficiency is life."
- A hot topic in China.
- summary
- IT-based work style reforms are required.
- Need to review policy constraints and improve efficiency
This page is auto-translated from [/nishio/ITの進歩が引き起こす働き方のルールの変化 AIまとめ](https://scrapbox.io/nishio/ITの進歩が引き起こす働き方のルールの変化 AIまとめ) using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.
