Our stance

Our stance

Theory as foundation, methods as applications

We build on established theory from organization studies, psychology and the science of learning. Scrum, LeSS and AI adoption are treated as leading examples of applying that theory to work.

Only what can be said in one sentence

We keep each claim to one sentence the literature supports, without exaggerating effects. Claims are cited as "author year" and listed on this page.

Figures from public statistics only

Statistics come only from Japanese ministries and official publications from the US and Europe (Germany in particular). Doubtful figures are left out.

We do not use claims whose source cannot be verified

Even widely repeated "rules" and figures are not used as evidence here unless we can trace them to a primary source.

References

References by pillar

The "author year" citations at the end of each page correspond to this list.

On the side of every company — foundations of work and organization View Details

  • Trist & Bamforth 1951 — socio-technical systems

    Trist, E. L. & Bamforth, K. W. (1951). Some Social and Psychological Consequences of the Longwall Method of Coal-Getting. Human Relations, 4(1), 3–38. https://doi.org/10.1177/001872675100400101

  • Burns & Stalker 1961 — mechanistic and organic organizations

    Burns, T. & Stalker, G. M. (1961). The Management of Innovation. Tavistock Publications, London. xxii+269pp.

  • Drucker 1999 — knowledge-worker productivity

    Drucker, P. F. (1999). Knowledge-Worker Productivity: The Biggest Challenge. California Management Review, 41(2), 79–94. https://doi.org/10.2307/41165987

Organizations where everyone can think View Details

  • Plato, Phaedrus 274c–275b — concern about writing — a classical analogy

    Plato. Phaedrus, 274c–275b (Stephanus pagination).

  • Simon 1971 — a wealth of information, a poverty of attention

    Simon, H. A. (1971). Designing Organizations for an Information-Rich World. In M. Greenberger (Ed.), Computers, Communications, and the Public Interest. Johns Hopkins Press, Baltimore.

  • Bainbridge 1983 — ironies of automation

    Bainbridge, L. (1983). Ironies of Automation. Automatica, 19(6), 775–779. https://doi.org/10.1016/0005-1098(83)90046-8

  • Parasuraman & Riley 1997 — use, misuse, disuse, abuse

    Parasuraman, R. & Riley, V. (1997). Humans and Automation: Use, Misuse, Disuse, Abuse. Human Factors, 39(2), 230–253. https://doi.org/10.1518/001872097778543886

  • Risko & Gilbert 2016 — cognitive offloading

    Risko, E. F. & Gilbert, S. J. (2016). Cognitive Offloading. Trends in Cognitive Sciences, 20(9), 676–688. https://doi.org/10.1016/j.tics.2016.07.002

  • Brynjolfsson, Li & Raymond 2025 — uneven effects of AI by task and skill

    Brynjolfsson, E., Li, D. & Raymond, L. R. (2025). Generative AI at Work. Quarterly Journal of Economics, 140(2), 889–942. https://doi.org/10.1093/qje/qjae044

  • Dell’Acqua et al. 2025 — uneven effects of AI by task and skill

    Dell’Acqua, F. et al. (2025). Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality. Organization Science. https://doi.org/10.1287/orsc.2025.21838

Deciding organizational structure with theory View Details

  • Chandler 1962 — structure follows strategy

    Chandler, A. D. Jr. (1962). Strategy and Structure: Chapters in the History of the Industrial Enterprise. MIT Press, Cambridge, MA. 463pp.

  • Conway 1968 — organization and product structure

    Conway, M. E. (1968). How Do Committees Invent? Datamation, 14, 28–31 (April 1968).

  • Lawrence & Lorsch 1967 — differentiation and integration

    Lawrence, P. R. & Lorsch, J. W. (1967). Differentiation and Integration in Complex Organizations. Administrative Science Quarterly, 12(1), 1–47. https://doi.org/10.2307/2391211

  • Thompson 1967 — interdependence and coordination

    Thompson, J. D. (1967). Organizations in Action: Social Science Bases of Administrative Theory. McGraw-Hill, New York.

  • Galbraith 1973 — organization design as information processing

    Galbraith, J. R. (1973). Designing Complex Organizations. Addison-Wesley, Reading, MA.

  • Mintzberg 1979 — configurations

    Mintzberg, H. (1979). The Structuring of Organizations: A Synthesis of the Research. Prentice-Hall, Englewood Cliffs, NJ. 512pp.

  • Hackman & Oldham 1976 — job design and motivation

    Hackman, J. R. & Oldham, G. R. (1976). Motivation through the Design of Work: Test of a Theory. Organizational Behavior and Human Performance, 16(2), 250–279. https://doi.org/10.1016/0030-5073(76)90016-7

  • MacCormack, Baldwin & Rusnak 2012 — evidence for the mirroring hypothesis

    MacCormack, A., Baldwin, C. Y. & Rusnak, J. (2012). Exploring the Duality between Product and Organizational Architectures: A Test of the Mirroring Hypothesis. Research Policy, 41(8), 1309–1324. https://doi.org/10.1016/j.respol.2012.04.011

  • DiMaggio & Powell 1983 — imitation under uncertainty

    DiMaggio, P. J. & Powell, W. W. (1983). The Iron Cage Revisited: Institutional Isomorphism and Collective Rationality in Organizational Fields. American Sociological Review, 48(2), 147–160. https://doi.org/10.2307/2095101

  • Abrahamson 1991 — management fashion

    Abrahamson, E. (1991). Managerial Fads and Fashions: The Diffusion and Rejection of Innovations. Academy of Management Review, 16(3), 586–612. https://doi.org/10.2307/258919

  • Argyris 1977 — double-loop learning

    Argyris, C. (1977). Double Loop Learning in Organizations. Harvard Business Review, 55(5) [Sep–Oct 1977], 115–125.

  • Senge 1990 — systems thinking

    Senge, P. M. (1990). The Fifth Discipline: The Art and Practice of the Learning Organization. Doubleday/Currency, New York.

Listen first, then build — three models View Details

  • Kolb 1984 — experiential learning

    Kolb, D. A. (1984). Experiential Learning: Experience as the Source of Learning and Development. Prentice-Hall, Englewood Cliffs, NJ. 256pp.

  • Wood, Bruner & Ross 1976 — scaffolding

    Wood, D., Bruner, J. S. & Ross, G. (1976). The Role of Tutoring in Problem Solving. Journal of Child Psychology and Psychiatry, 17(2), 89–100. https://doi.org/10.1111/j.1469-7610.1976.tb00381.x

  • Baldwin & Ford 1988 — transfer of training

    Baldwin, T. T. & Ford, J. K. (1988). Transfer of Training: A Review and Directions for Future Research. Personnel Psychology, 41(1), 63–105. https://doi.org/10.1111/j.1744-6570.1988.tb00632.x

  • Arthur et al. 2003 — meta-analysis of training effectiveness

    Arthur, W. Jr., Bennett, W. Jr., Edens, P. S. & Bell, S. T. (2003). Effectiveness of Training in Organizations: A Meta-Analysis of Design and Evaluation Features. Journal of Applied Psychology, 88(2), 234–245. https://doi.org/10.1037/0021-9010.88.2.234

  • Salas et al. 2012 — the science of training

    Salas, E., Tannenbaum, S. I., Kraiger, K. & Smith-Jentsch, K. A. (2012). The Science of Training and Development in Organizations: What Matters in Practice. Psychological Science in the Public Interest, 13(2), 74–101. https://doi.org/10.1177/1529100612436661

  • Theeboom et al. 2014 — meta-analysis of coaching

    Theeboom, T., Beersma, B. & van Vianen, A. E. M. (2014). Does Coaching Work? A Meta-Analysis on the Effects of Coaching on Individual Level Outcomes in an Organizational Context. The Journal of Positive Psychology, 9(1), 1–18. https://doi.org/10.1080/17439760.2013.837499

  • Jones et al. 2016 — meta-analysis of coaching

    Jones, R. J., Woods, S. A. & Guillaume, Y. R. F. (2016). The Effectiveness of Workplace Coaching: A Meta-Analysis of Learning and Performance Outcomes from Coaching. Journal of Occupational and Organizational Psychology, 89(2), 249–277. https://doi.org/10.1111/joop.12119

  • Schein 1969 — process consultation

    Schein, E. H. (1969). Process Consultation: Its Role in Organization Development. Addison-Wesley, Reading, MA.

A stronger lineup for development and well-being View Details

  • Becker 1964 — human capital

    Becker, G. S. (1964). Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education. University of Chicago Press, Chicago.

  • Herzberg 1968 — motivators and hygiene factors

    Herzberg, F. (1968). One More Time: How Do You Motivate Employees? Harvard Business Review, 46(1).

  • Eisenberger et al. 1986 — perceived organizational support

    Eisenberger, R., Huntington, R., Hutchison, S. & Sowa, D. (1986). Perceived Organizational Support. Journal of Applied Psychology, 71(3), 500–507. https://doi.org/10.1037/0021-9010.71.3.500

  • Ryan & Deci 2000 — self-determination theory

    Ryan, R. M. & Deci, E. L. (2000). Self-Determination Theory and the Facilitation of Intrinsic Motivation, Social Development, and Well-Being. American Psychologist, 55(1), 68–78. https://doi.org/10.1037/0003-066X.55.1.68

  • Edmondson 1999 — psychological safety

    Edmondson, A. C. (1999). Psychological Safety and Learning Behavior in Work Teams. Administrative Science Quarterly, 44(2), 350–383. https://doi.org/10.2307/2666999

  • Spence 1973 — signaling — as an analogy

    Spence, A. M. (1973). Job Market Signaling. Quarterly Journal of Economics, 87(3), 355–374. https://doi.org/10.2307/1882010

Statistics

Statistics sources

The public statistics we refer to on this site, with their sources. Figures, survey years and retrieval dates are shown only after we have checked the primary source.

Adult skills compared internationally — Japan ranks high

PIAAC Cycle 2 (2022-23 fieldwork, published 2024-12-10; 31 countries/economies, ~160,000 adults): Japan ranked 2nd in both literacy (289) and numeracy (291). Across the OECD, only Finland and Denmark showed statistically significant literacy gains; the bottom 10% of performers declined while the top 10% improved, widening within-country inequality

Source
National Institute for Educational Policy Research (NIER), key points of the OECD Survey of Adult Skills (PIAAC), Cycle 2 (OECD 国際成人力調査 第2回調査); OECD press release, 10 December 2024
Survey year
Fieldwork September 2022 – August 2023; published 10 December 2024
Base (denominator)
About 160,000 adults aged 16–65 in 31 countries and economies (nationally representative samples)
Retrieved
2026-09-20

EU AI Act, Article 4 — AI literacy

EU AI Act (Regulation (EU) 2024/1689) Article 4: providers and deployers of AI systems shall take measures to ensure, to their best extent, a sufficient level of AI literacy of staff and other persons operating/using AI systems on their behalf. Per Article 113(a), Chapters I and II (which include Article 4) apply from 2 February 2025. This is EU law and does not automatically apply to companies in Japan.

Source
Regulation (EU) 2024/1689 (Artificial Intelligence Act), Official Journal of the European Union, Articles 4 and 113
Survey year
Adopted 2024; Article 4 applies from 2 February 2025
Base (denominator)
Not applicable (legal text)
Retrieved
2026-09-20

Continuing vocational training in EU enterprises

EU: 67.4% of enterprises with 10+ employees provided continuing vocational training (down from 70.5% in 2015); 42.4% of persons employed across all enterprises participated in CVT courses (2020, Eurostat CVTS)

Source
Eurostat, Continuing Vocational Training Survey (CVTS), Statistics Explained
Survey year
2020 (CVTS reference year)
Base (denominator)
67.4%: enterprises with 10 or more employees in EU Member States. 42.4%: persons employed in all enterprises, not only those providing training. Rates vary widely by country (Czechia 82.8% to Greece 11.8%)
Retrieved
2026-09-20

Adult literacy in the US

US: share of adults (ages 16-65) at or below Level 1 in literacy rose from 19% (2017) to 28% (2023) — NCES PIAAC 2023

Source
National Center for Education Statistics (NCES), U.S. Department of Education, PIAAC 2023 U.S. National Results
Survey year
2017 and 2023 (comparison)
Base (denominator)
Adults aged 16–65 in the United States
Retrieved
2026-09-20

Share of establishments reporting problems with human resource development, and why

79.9% of establishments in Japan report some problem with human resource development. Among those establishments, the problems cited (multiple answers) are a shortage of people who can train others (59.5%), people leaving after being trained (54.7%) and no time for development (47.4%) (FY2024 survey, establishment survey)

Source
Ministry of Health, Labour and Welfare (MHLW), Basic Survey of Human Resources Development, FY2024 (令和6年度 能力開発基本調査), figures 29 and 30
Survey year
FY2024 survey (results for FY2023)
Base (denominator)
Establishment survey. The breakdown is among establishments reporting a problem, and allows multiple answers
Retrieved
2026-09-20

Spending per employee on off-the-job training in Japan

Among firms that spent, average OFF-JT cost per worker was JPY 15,000; self-development support was JPY 4,000 (FY2023 actual)

Source
Ministry of Health, Labour and Welfare (MHLW), Basic Survey of Human Resources Development, FY2024 (令和6年度 能力開発基本調査)
Survey year
FY2023 results (FY2024 survey)
Base (denominator)
Average among firms that spent on OFF-JT or self-development support in FY2023 (not an average of all firms)
Retrieved
2026-09-20

Turnover among young workers

40.9% of establishments (with young workers) had a young worker who voluntarily quit in the past year (Oct 2022-Sep 2023) (FY2023 Young Worker Employment Survey, establishment survey)

Source
Ministry of Health, Labour and Welfare (MHLW), Survey on Employment Conditions of Young People, 2023 (令和5年 若年者雇用実態調査), establishment survey, table 7
Survey year
2023 survey (October 2022 – September 2023)
Base (denominator)
Establishments that had young workers during the past year (establishment survey)
Retrieved
2026-09-20

Shortage of people to lead DX

62.1% of companies in Japan report a "severe shortage" of people to drive digital transformation (FY2023; IPA DX Trends 2024 survey, 1,013 responding companies)

Source
Information-technology Promotion Agency, Japan (IPA), Discussion Paper 2024-02, DX Trends 2024 (DX動向2024)
Survey year
FY2023 (survey conducted 9 Feb – 2 May 2024)
Base (denominator)
1,013 responding companies
Retrieved
2026-09-20

Where IT professionals work: Japan vs. the US

IT professionals as share of labor force: Japan 2.2% (2020 Census, 1.2539M/57.674M) vs. US 3.7% (2023 Occupational Employment and Wage Statistics, 5.590M/151.854M)

Source
IPA, DX Trends 2024 (DX動向2024), supplementary chart 1. Original data: Statistics Bureau of Japan, Population Census; U.S. Bureau of Labor Statistics, OEWS
Survey year
Japan 2020 / United States 2023 (the years differ)
Base (denominator)
Japan: information-processing and communications workers ÷ labor force (2020 Census). United States: IT professionals ÷ labor force (2023 OEWS)
Retrieved
2026-09-20

Digital Skill Standards for all business people

IPA published Digital Skill Standards (DSS) ver. 2.0 on 16 April 2026. The DX Literacy Standard is defined as skills that all business persons should acquire. Notes on generative AI were added to the existing standard in August 2023 and July 2024.

Source
IPA press release, Digital Skill Standards ver. 2.0 (Ministry of Economy, Trade and Industry / IPA)
Survey year
16 April 2026 (ver. 2.0); generative-AI notes added in August 2023 and July 2024
Base (denominator)
Not applicable (policy document)
Retrieved
2026-09-20

Growth in personal use of generative AI, compared internationally

Individual generative-AI usage experience in Japan: 26.7% (FY2024 survey) to 58.8% (FY2025 survey). FY2024 international comparison: US 68.8% / Germany 59.2% / China 81.2%

Source
Ministry of Internal Affairs and Communications (MIC), White Paper on Information and Communications in Japan, 2026 edition (令和8年版 情報通信白書)MIC, White Paper on Information and Communications in Japan, 2025 edition (令和7年版 情報通信白書; FY2024 survey and international comparison)
Survey year
FY2024 survey (2025 edition) and FY2025 survey (2026 edition)
Base (denominator)
Online survey of individuals by MIC (Japan, United States, Germany, China). Sample size and age composition are not stated in the white paper text
Retrieved
2026-09-20

Business use of generative AI

86.4% of Japanese firms use generative AI in one or more business functions (FY2025 enterprise survey)

Source
Ministry of Internal Affairs and Communications (MIC), White Paper on Information and Communications in Japan, 2026 edition (令和8年版 情報通信白書), enterprise survey, chart I-2-1-6
Survey year
FY2025 enterprise survey (2026 edition)
Base (denominator)
Enterprise survey by MIC. The share excludes firms that answered "don't know" to the question on their generative-AI policy
Retrieved
2026-09-20

Public frameworks for human capital disclosure in Japan

Companies filing Annual Securities Reports in Japan must describe their human resource development policy and internal environment improvement policy in the sustainability section (Cabinet Office Ordinance amendment, promulgated and effective 31 January 2023; applies from fiscal years ending on or after 31 March 2023). Related: the Cabinet Secretariat's Guidelines for Human Capital Visualization (30 August 2022).

Source
Financial Services Agency (FSA), amendment to the Cabinet Office Ordinance on Disclosure of Corporate Affairs (企業内容等の開示に関する内閣府令等の改正); Cabinet Secretariat, Guidelines for Human Capital Visualization (人的資本可視化指針)
Survey year
31 January 2023 (ordinance) / 30 August 2022 (guidelines)
Base (denominator)
Not applicable (regulation and guidelines)
Retrieved
2026-09-20

Update policy

References and statistics are reviewed periodically. Older data is marked as such.

  • Statistics are updated to the latest published year, with the retrieval date shown
  • New references are added only after checking the bibliography, and only for one-sentence claims
  • Each update re-checks that claims stay within what the literature supports
  • Unverifiable figures or "laws" are removed promptly when pointed out

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