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Sources & Citations

Every reference across the research, deduplicated and grouped by theme. Each entry links back to the writings it informed.

102 unique sources · 11 writings

01

AI Awareness & Adoption Readiness

71 sources

AI awareness & employee effects(8)National adoption & sovereignty(14)Productivity, paradox & macro(9)Policy, governance & industry reports(15)Theory, frameworks & methods(19)Other(6)

AI awareness & employee effects

  1. 01

    Kong, H., Yuan, Y., Baruch, Y., Jiang, X., & Wang, K. (2021). Influences of artificial intelligence (AI) awareness on career competency and job burnout. International Journal of Contemporary Hospitality Management, 33(2), 717–734.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  2. 02

    Kong, S. C., & Zhu, J. (2025). Developing and validating an AI ethical awareness scale. Computers and Education: Artificial Intelligence, 9, 100447.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  3. 03

    Li, J. J., Bonn, M. A., & Ye, B. H. (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172–181.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  4. 04

    Li, X., Lin, X., Zhang, F., & Tian, Y. (2025). The double-edged sword effects of AI awareness on employee performance: A self-determination perspective. International Journal of Hospitality Management.

    Used inAI Awareness and Strategic Agility in Small Retail Businessesplan
  5. 05

    Liang, X., Guo, G., Shu, L., Gong, Q., & Luo, P. (2022). Investigating the double-edged sword effect of AI awareness on employee's service innovative behavior. Tourism Management, 92, 104564.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  6. 06

    Moldt, J.-A., et al. (2024). AI awareness and familiarity in professional contexts. (Working paper.)

    Used inAI Awareness and Strategic Agility in Small Retail Businessesplan
  7. 07

    Yuxuan, Z., & Hussain, W. M. H. W. (2025). Artificial intelligence (AI) awareness (2019–2025): A systematic literature review using the SPAR-4-SLR protocol. Social Sciences & Humanities Open, 12, 101870.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  8. 08

    Zhou, S., Teng, R., Zheng, W., & Ma, C. (2024). An empirical study on the dark side of service employees AI awareness. Journal of Retailing and Consumer Services, 79, 103869.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan

National adoption & sovereignty

  1. 01

    Crosley, B. (2026). France's AI sovereignty push. Introl.link ↗

    Used inInnovation–Adoption Paradox
  2. 02

    Cybernews. (2026, February). AI adoption index 2025: Which countries use AI tools the most?link ↗

    Used inInnovation–Adoption Paradox
  3. 03

    Digital Watch Observatory. (2024). The UAE national strategy for artificial intelligence 2031.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Edelman. (2025). Edelman Trust Barometer. (As cited in Mejias, 2026.)

    Used inInnovation–Adoption Paradox
  5. 05

    Grant Thornton. (2025). Transition from 'black box' to 'glass box': The AI governance framework for UAE leaders.link ↗

    Used inInnovation–Adoption Paradox
  6. 06

    Introl. (2025). France's AI sovereignty push: Infrastructure behind the European AI champion.link ↗

    Used inInnovation–Adoption Paradox
  7. 07

    Jahidi, A. (2026, March 3). Where global economies sit in the AI stack. Franklin Templeton.link ↗

    Used inInnovation–Adoption Paradox
  8. 08

    McGuire, C. (2026, January 14). The new AI chip export policy to China: Strategically incoherent and unenforceable. Council on Foreign Relations.link ↗

    Used inGen-AI, Power & Labor
  9. 09

    Mejias, M. (2026, January 27). What the UAE and South Korea know about AI adoption that American organizations don't. Sidecar AI.link ↗

    Used inInnovation–Adoption Paradox
  10. 10

    NAVER Cloud HyperCLOVA X Team. (2025). HyperCLOVA X THINK technical report. arXiv.link ↗

    Used inInnovation–Adoption Paradox
  11. 11

    Neufeld, D. (2026, January 22). Mapped: AI adoption rates by country. Visual Capitalist.link ↗

    Used inInnovation–Adoption Paradox
  12. 12

    Organisation for Economic Co-operation and Development. (2026). OECD digital education outlook 2026. OECD Publishing.link ↗

    Used inInnovation–Adoption Paradox
  13. 13

    Oxford Insights. (2026). AI in France: Betting on AI adoption and sovereignty rather than racing for the most powerful models.link ↗

    Used inInnovation–Adoption Paradox
  14. 14

    Tournesac, A., Hjartar, K., Krawina, M., Hillenbrand, P., & Olanrewaju, T. (2025). Accelerating Europe's AI adoption: The role of sovereign AI capabilities. McKinsey & Company.link ↗

    Used inInnovation–Adoption Paradox

Productivity, paradox & macro

  1. 01

    Allen, R. C. (2009). Engels' pause: Technical change, capital accumulation, and inequality in the British industrial revolution. Explorations in Economic History, 46(4), 418–435.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Azhar, S., Zhang, Z. X., & Lu, S. Y. (2025). Empirical analysis of the Solow paradox in artificial intelligence. Open Journal of Business and Management, 13(5), 3716–3729.link ↗

    Used inInnovation–Adoption Paradox
  3. 03

    Bank of America Institute. (2025, October). Economic shifts in the age of AI. Bank of America.link ↗

    Used inGen-AI, Power & Labor
  4. 04

    Bara, M. (2026, February 15). The AI productivity paradox is not a paradox. It is a pattern. Medium.link ↗

    Used inInnovation–Adoption Paradox
  5. 05

    Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies: 'Engines of growth'? Journal of Econometrics, 65(1), 83–108. (As cited in Jovanovic & Rousseau, 2005.)

    Used inInnovation–Adoption Paradox
  6. 06

    Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A. J., Pizzinelli, C., Rockall, E., & Tavares, M. M. (2024). Gen-AI: Artificial intelligence and the future of work (Staff Discussion Note SDN/2024/001). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  7. 07

    Crafts, N. (2004). Steam as a general purpose technology: A growth accounting perspective. The Economic Journal, 114(495), 338–351.link ↗

    Used inGen-AI, Power & Labor
  8. 08

    Kroese, B. (2024, December). GDP in the future. Finance & Development, 61(4). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  9. 09

    Penn Wharton Budget Model. (2025, September 8). The projected impact of generative AI on future productivity growth. University of Pennsylvania.link ↗

    Used inGen-AI, Power & Labor

Policy, governance & industry reports

  1. 01

    Associated Press. (2025, April 30). Trump hosts dinner with tech CEOs in White House Rose Garden to discuss AI and investments. AP News.link ↗

    Used inAI Costs for Small Retail
  2. 02

    Associated Press. (2026, January 13). Pentagon embraces Musk's Grok AI chatbot as it draws global outcry. PBS News Hour.link ↗

    Used inGen-AI, Power & Labor
  3. 03

    Cisco Systems, Inc. (2026). Cisco 2026 data and privacy benchmark study.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Defense Innovation Unit. (2025). The Replicator initiative: Progress update. U.S. Department of Defense.link ↗

    Used inGen-AI, Power & Labor
  5. 05

    International Association of Privacy Professionals. (2026, February 4). Global AI law and policy tracker.link ↗

    Used inInnovation–Adoption Paradox
  6. 06

    IoT Analytics. (2025, March 4). The leading generative AI companies.link ↗

    Used inGen-AI, Power & Labor
  7. 07

    Koetsier, J. (2026, April 8). AI transformation: No one's at the wheel, says 500-company study. Forbes.link ↗

    Used inInnovation–Adoption Paradox
  8. 08

    Microsoft AI Economy Institute. (2026, January). Global AI adoption in 2025 – AI Economy Institute.link ↗

    Used inInnovation–Adoption Paradox
  9. 09

    Microsoft. (2019, July 22). Microsoft invests in and partners with OpenAI to support us building beneficial AGI [Press release].link ↗

    Used inGen-AI, Power & Labor
  10. 10

    National Security Commission on Artificial Intelligence. (2021). Final report.link ↗

    Used inGen-AI, Power & Labor
  11. 11

    Stanford Institute for Human-Centered Artificial Intelligence. (2026). AI index report 2026: Public opinion.link ↗

    Used inInnovation–Adoption Paradox
  12. 12

    The White House. (2025, July 28). New federal AI action plan.link ↗

    Used inGen-AI, Power & Labor
  13. 13

    Thomson Reuters Institute. (2026). 2026 AI in professional services report.link ↗

    Used inInnovation–Adoption Paradox
  14. 14

    UXDA. (2025). Financial AI in practice: 21 case studies of artificial intelligence in banking CX.link ↗

    Used inInnovation–Adoption Paradox
  15. 15

    Westmoreland, H. (2026, April 7). What the 2026 Thomson Reuters AI in professional services report reveals for tax and audit firms. Certinia.link ↗

    Used inInnovation–Adoption Paradox

Theory, frameworks & methods

  1. 01

    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  2. 02

    Ameen, N., Sharma, G. D., Tarba, S., Rao, A., & Chopra, R. (2024). Toward advancing theory on creativity in marketing and artificial intelligence. Psychology & Marketing, 41(8), 1685–1707.

    Used inAI Awareness and Strategic Agility in Small Retail Businessesplan
  3. 03

    Bashir, S., & Sadowski, B. M. (2014, June 22–25). General purpose technologies: A survey, a critique and future research directions [Conference presentation]. 25th European Regional Conference of the International Telecommunications Society (ITS), Brussels, Belgium.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Charmaz, K. (2006). Constructing grounded theory: A practical guide through qualitative analysis. SAGE Publications.

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  5. 05

    Corbin, J., & Strauss, A. (2014). Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed.). SAGE Publications.

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  6. 06

    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  7. 07

    Dorobantu, S., Kaul, A., & Zelner, B. (2017). Nonmarket strategy research through the lens of new institutional economics: An integrative review and future directions. Strategic Management Journal, 38, 114–140.link ↗

    Used inAI Costs for Small Retail
  8. 08

    Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2012). Seeking qualitative rigor in inductive research: Notes on the Gioia methodology. Organizational Research Methods, 16(1), 15–31.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  9. 09

    Gopinadh, M. P. V. S., Sindhu, K. L., Raju, S. S. P. R., & Swarna, Y. (2024). Regional bias in large language models. arXiv.link ↗

    Used inInnovation–Adoption Paradox
  10. 10

    Guest, G., MacQueen, K. M., & Namey, E. E. (2012). Applied thematic analysis. SAGE Publications.

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  11. 11

    Jovanovic, B., & Rousseau, P. L. (2005). General purpose technologies (NBER Working Paper No. 11093). National Bureau of Economic Research.link ↗

    Used inInnovation–Adoption Paradox
  12. 12

    Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. SAGE Publications.

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  13. 13

    Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and AI: An experiential perspective. Journal of Marketing, 85(1), 131–151.link ↗

    Used inExploring AI Awareness Within Small Owner-Operated Businessesplan
  14. 14

    Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

    Used inInnovation–Adoption Paradox
  15. 15

    Sampath, G., Krishnamoorthy, B., & Kumar, R. (2021). Strategic agility: A review and conceptual framework. Strategic Change, 30(2), 103–115.

    Used inAI Awareness and Strategic Agility in Small Retail Businessesplan
  16. 16

    Sánchez, E., Calderón, R., & Herrera, F. (2025). Artificial intelligence adoption in SMEs: Survey based on TOE–DOI framework. Applied Sciences, 15(12), 6465.link ↗

    Used inInnovation–Adoption Paradox
  17. 17

    Shoham, A., Frynas, J. G., Arslan, A., Bazel Shoham, O., Lee, S. M., Khan, Z., & Tarba, S. (2024). The interrelationships between corporate political activity and corporate environmental performance: The role of language diversity. Journal of International Business Studies, 55, 1204–1217.link ↗

    Used inAI Costs for Small Retail
  18. 18

    Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

    Used inAI Awareness and Strategic Agility in Small Retail Businessesplan
  19. 19

    Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

    Used inInnovation–Adoption Paradox

Other

  1. 01

    Aljaraidah, S., & Shihamit, E. (2026). Technological, organisational and environmental factors affecting AI adoption: Insights from leaders and employees in Swedish SMEs [Master's thesis, Uppsala University]. DiVA Portal.link ↗

    Used inInnovation–Adoption Paradox
  2. 02

    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.

    Used inInnovation–Adoption Paradox
  3. 03

    Lin, B., Yang, Q., & Wang, X. (2025). AI adoption in business decision-making: Challenges, enablers, and organizational readiness assessment. International Journal of Social Science and Education Research, 8(11), 253–257.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Machulla, P. (2025, January 8). The compressed diffusion curve: How generative AI redefines innovation adoption. Medium.link ↗

    Used inInnovation–Adoption Paradox
  5. 05

    Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363.

    Used inInnovation–Adoption Paradox
  6. 06

    Stone, B. (2013). The everything store: Jeff Bezos and the age of Amazon. Little, Brown and Company.

    Used inGen-AI, Power & Labor

02

Power & Governance

26 sources

CEO power & upper echelons(11)Executive pay & governance disputes(3)AI policy & national security(3)Industry concentration & big tech(3)Macro, labor & GPT(6)

CEO power & upper echelons

  1. 01

    Carpenter, M. A., Geletkanycz, M. A., & Sanders, W. G. (2004). Upper echelons research revisited: Antecedents, elements, and consequences of top management team composition. Journal of Management, 30(6), 749–778.

    Used inCEO Pipeline & Power Networks
  2. 02

    Chillingworth, A. (2025, October 7). Who has the most followers on X/Twitter in 2025? Epidemic Sound.link ↗

    Used inTesla & Agency Theory
  3. 03

    Chin, M. K., Hambrick, D. C., & Treviño, L. K. (2013). Political ideologies of CEOs: The influence of executives' values on corporate social responsibility. Administrative Science Quarterly, 58(2), 197–232.

    Used inCEO Pipeline & Power Networks
  4. 04

    Choi, I., & Pang, M.-S. (2023). Do CEOs matter? Divergent impact of CEO power on digital and non-digital innovation. Working paper.

    Used inTesla & Agency Theory
  5. 05

    Eisenhardt, K. M. (1989). Agency theory: An assessment and review. Academy of Management Review, 14(1), 57–74.

    Used inTesla & Agency Theory
  6. 06

    Gulati, R. (1998). Alliances and networks. Strategic Management Journal, 19, 293–317.

    Used inCEO Pipeline & Power Networks
  7. 07

    Hernandez, E., & Shaver, J. M. (2019). Network synergy. Administrative Science Quarterly, 64(1), 171–202.

    Used inCEO Pipeline & Power Networks
  8. 08

    Howe, M. (2025, November 3). The CEO revolving door speeds up. Forbes.link ↗

    Used inCEO Pipeline & Power Networks
  9. 09

    McGuire, C. (2026, January 14). The new AI chip export policy to China: Strategically incoherent and unenforceable. Council on Foreign Relations.link ↗

    Used inGen-AI, Power & Labor
  10. 10

    National Center for Education Statistics. (2024). College enrollment rates. In The Condition of Education. U.S. Department of Education, Institute of Education Sciences.link ↗

    Used inCEO Pipeline & Power Networks
  11. 11

    Shin, R. (2023, June 14). A professor started tracking 'Fortune 500 CEO colleges' 20 years ago, and 'the results were stunning.' Yahoo Finance.link ↗

    Used inCEO Pipeline & Power Networks

Executive pay & governance disputes

  1. 01

    Associated Press. (2026, January 13). Pentagon embraces Musk's Grok AI chatbot as it draws global outcry. PBS News Hour.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Hals, T. (2024, January 30). Judge voids Elon Musk's 'unfathomable' $56 billion Tesla pay package. Reuters.link ↗

    Used inTesla & Agency Theory
  3. 03

    Vella, L. (2025, October 9). Battle over Elon Musk's trillionaire pay package builds as pension funds face off against Tesla. Fortune.link ↗

    Used inTesla & Agency Theory

AI policy & national security

  1. 01

    Defense Innovation Unit. (2025). The Replicator initiative: Progress update. U.S. Department of Defense.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    National Security Commission on Artificial Intelligence. (2021). Final report.link ↗

    Used inGen-AI, Power & Labor
  3. 03

    The White House. (2025, July 28). New federal AI action plan.link ↗

    Used inGen-AI, Power & Labor

Industry concentration & big tech

  1. 01

    IoT Analytics. (2025, March 4). The leading generative AI companies.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Microsoft. (2019, July 22). Microsoft invests in and partners with OpenAI to support us building beneficial AGI [Press release].link ↗

    Used inGen-AI, Power & Labor
  3. 03

    Stone, B. (2013). The everything store: Jeff Bezos and the age of Amazon. Little, Brown and Company.

    Used inGen-AI, Power & Labor

Macro, labor & GPT

  1. 01

    Allen, R. C. (2009). Engels' pause: Technical change, capital accumulation, and inequality in the British industrial revolution. Explorations in Economic History, 46(4), 418–435.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Bank of America Institute. (2025, October). Economic shifts in the age of AI. Bank of America.link ↗

    Used inGen-AI, Power & Labor
  3. 03

    Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A. J., Pizzinelli, C., Rockall, E., & Tavares, M. M. (2024). Gen-AI: Artificial intelligence and the future of work (Staff Discussion Note SDN/2024/001). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  4. 04

    Crafts, N. (2004). Steam as a general purpose technology: A growth accounting perspective. The Economic Journal, 114(495), 338–351.link ↗

    Used inGen-AI, Power & Labor
  5. 05

    Kroese, B. (2024, December). GDP in the future. Finance & Development, 61(4). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  6. 06

    Penn Wharton Budget Model. (2025, September 8). The projected impact of generative AI on future productivity growth. University of Pennsylvania.link ↗

    Used inGen-AI, Power & Labor

03

Institutional Pressure

43 sources

Foundational institutional theory(4)Isomorphism in tech adoption(7)National strategy & sovereignty(15)Diffusion & GPT theory(8)Industry pressure & reports(9)

Foundational institutional theory

  1. 01

    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.

    Used inInnovation–Adoption Paradox
  2. 02

    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.link ↗

    Used inRapid Tech & Mimicry
  3. 03

    Dorobantu, S., Kaul, A., & Zelner, B. (2017). Nonmarket strategy research through the lens of new institutional economics: An integrative review and future directions. Strategic Management Journal, 38, 114–140.link ↗

    Used inAI Costs for Small Retail
  4. 04

    Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363.

    Used inInnovation–Adoption Paradox

Isomorphism in tech adoption

  1. 01

    Aljaraidah, S., & Shihamit, E. (2026). Technological, organisational and environmental factors affecting AI adoption: Insights from leaders and employees in Swedish SMEs [Master's thesis, Uppsala University]. DiVA Portal.link ↗

    Used inInnovation–Adoption Paradox
  2. 02

    Bharati, P., Zhang, C., & Chaudhury, A. (2014). Social media assimilation in firms: Investigating the roles of absorptive capacity and institutional pressures. Information Systems Frontiers, 16(2), 257–272.

    Used inRapid Tech & Mimicry
  3. 03

    Caplan, R., & Boyd, D. (2018). Isomorphism through algorithms: Institutional dependencies in the case of Facebook. Big Data & Society, 5(1).link ↗

    Used inRapid Tech & Mimicry
  4. 04

    Flanagin, A. J. (2000). Social pressures on organizational website adoption. Human Communication Research, 26(4), 618–646.

    Used inRapid Tech & Mimicry
  5. 05

    Lin, B., Yang, Q., & Wang, X. (2025). AI adoption in business decision-making: Challenges, enablers, and organizational readiness assessment. International Journal of Social Science and Education Research, 8(11), 253–257.link ↗

    Used inInnovation–Adoption Paradox
  6. 06

    Reis, J. F., & Pinheiro Junior, L. P. (2025). Institutional theory (IT) and diffusion of innovation (DOI): A theoretical approach on artificial intelligence (AI). BAR, Brazilian Administration Review, 22(1), Article e240067.

    Used inRapid Tech & Mimicry
  7. 07

    Sánchez, E., Calderón, R., & Herrera, F. (2025). Artificial intelligence adoption in SMEs: Survey based on TOE–DOI framework. Applied Sciences, 15(12), 6465.link ↗

    Used inInnovation–Adoption Paradox

National strategy & sovereignty

  1. 01

    Associated Press. (2025, April 30). Trump hosts dinner with tech CEOs in White House Rose Garden to discuss AI and investments. AP News.link ↗

    Used inAI Costs for Small Retail
  2. 02

    Crosley, B. (2026). France's AI sovereignty push. Introl.link ↗

    Used inInnovation–Adoption Paradox
  3. 03

    Cybernews. (2026, February). AI adoption index 2025: Which countries use AI tools the most?link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Digital Watch Observatory. (2024). The UAE national strategy for artificial intelligence 2031.link ↗

    Used inInnovation–Adoption Paradox
  5. 05

    Edelman. (2025). Edelman Trust Barometer. (As cited in Mejias, 2026.)

    Used inInnovation–Adoption Paradox
  6. 06

    Grant Thornton. (2025). Transition from 'black box' to 'glass box': The AI governance framework for UAE leaders.link ↗

    Used inInnovation–Adoption Paradox
  7. 07

    International Association of Privacy Professionals. (2026, February 4). Global AI law and policy tracker.link ↗

    Used inInnovation–Adoption Paradox
  8. 08

    Introl. (2025). France's AI sovereignty push: Infrastructure behind the European AI champion.link ↗

    Used inInnovation–Adoption Paradox
  9. 09

    Jahidi, A. (2026, March 3). Where global economies sit in the AI stack. Franklin Templeton.link ↗

    Used inInnovation–Adoption Paradox
  10. 10

    Mejias, M. (2026, January 27). What the UAE and South Korea know about AI adoption that American organizations don't. Sidecar AI.link ↗

    Used inInnovation–Adoption Paradox
  11. 11

    NAVER Cloud HyperCLOVA X Team. (2025). HyperCLOVA X THINK technical report. arXiv.link ↗

    Used inInnovation–Adoption Paradox
  12. 12

    Neufeld, D. (2026, January 22). Mapped: AI adoption rates by country. Visual Capitalist.link ↗

    Used inInnovation–Adoption Paradox
  13. 13

    Organisation for Economic Co-operation and Development. (2026). OECD digital education outlook 2026. OECD Publishing.link ↗

    Used inInnovation–Adoption Paradox
  14. 14

    Oxford Insights. (2026). AI in France: Betting on AI adoption and sovereignty rather than racing for the most powerful models.link ↗

    Used inInnovation–Adoption Paradox
  15. 15

    Tournesac, A., Hjartar, K., Krawina, M., Hillenbrand, P., & Olanrewaju, T. (2025). Accelerating Europe's AI adoption: The role of sovereign AI capabilities. McKinsey & Company.link ↗

    Used inInnovation–Adoption Paradox

Diffusion & GPT theory

  1. 01

    Azhar, S., Zhang, Z. X., & Lu, S. Y. (2025). Empirical analysis of the Solow paradox in artificial intelligence. Open Journal of Business and Management, 13(5), 3716–3729.link ↗

    Used inInnovation–Adoption Paradox
  2. 02

    Bara, M. (2026, February 15). The AI productivity paradox is not a paradox. It is a pattern. Medium.link ↗

    Used inInnovation–Adoption Paradox
  3. 03

    Bashir, S., & Sadowski, B. M. (2014, June 22–25). General purpose technologies: A survey, a critique and future research directions [Conference presentation]. 25th European Regional Conference of the International Telecommunications Society (ITS), Brussels, Belgium.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Bresnahan, T. F., & Trajtenberg, M. (1995). General purpose technologies: 'Engines of growth'? Journal of Econometrics, 65(1), 83–108. (As cited in Jovanovic & Rousseau, 2005.)

    Used inInnovation–Adoption Paradox
  5. 05

    Jovanovic, B., & Rousseau, P. L. (2005). General purpose technologies (NBER Working Paper No. 11093). National Bureau of Economic Research.link ↗

    Used inInnovation–Adoption Paradox
  6. 06

    Machulla, P. (2025, January 8). The compressed diffusion curve: How generative AI redefines innovation adoption. Medium.link ↗

    Used inInnovation–Adoption Paradox
  7. 07

    Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

    Used inInnovation–Adoption Paradox
  8. 08

    Tornatzky, L. G., & Fleischer, M. (1990). The processes of technological innovation. Lexington Books.

    Used inInnovation–Adoption Paradox

Industry pressure & reports

  1. 01

    Cisco Systems, Inc. (2026). Cisco 2026 data and privacy benchmark study.link ↗

    Used inInnovation–Adoption Paradox
  2. 02

    Gopinadh, M. P. V. S., Sindhu, K. L., Raju, S. S. P. R., & Swarna, Y. (2024). Regional bias in large language models. arXiv.link ↗

    Used inInnovation–Adoption Paradox
  3. 03

    Koetsier, J. (2026, April 8). AI transformation: No one's at the wheel, says 500-company study. Forbes.link ↗

    Used inInnovation–Adoption Paradox
  4. 04

    Microsoft AI Economy Institute. (2026, January). Global AI adoption in 2025 – AI Economy Institute.link ↗

    Used inInnovation–Adoption Paradox
  5. 05

    Shoham, A., Frynas, J. G., Arslan, A., Bazel Shoham, O., Lee, S. M., Khan, Z., & Tarba, S. (2024). The interrelationships between corporate political activity and corporate environmental performance: The role of language diversity. Journal of International Business Studies, 55, 1204–1217.link ↗

    Used inAI Costs for Small Retail
  6. 06

    Stanford Institute for Human-Centered Artificial Intelligence. (2026). AI index report 2026: Public opinion.link ↗

    Used inInnovation–Adoption Paradox
  7. 07

    Thomson Reuters Institute. (2026). 2026 AI in professional services report.link ↗

    Used inInnovation–Adoption Paradox
  8. 08

    UXDA. (2025). Financial AI in practice: 21 case studies of artificial intelligence in banking CX.link ↗

    Used inInnovation–Adoption Paradox
  9. 09

    Westmoreland, H. (2026, April 7). What the 2026 Thomson Reuters AI in professional services report reveals for tax and audit firms. Certinia.link ↗

    Used inInnovation–Adoption Paradox

04

Firm Structure

8 sources

  1. 01

    Chillingworth, A. (2025, October 7). Who has the most followers on X/Twitter in 2025? Epidemic Sound.link ↗

    Used inTesla & Agency Theory
  2. 02

    Choi, I., & Pang, M.-S. (2023). Do CEOs matter? Divergent impact of CEO power on digital and non-digital innovation. Working paper.

    Used inTesla & Agency Theory
  3. 03

    Eisenhardt, K. M. (1989). Agency theory: An assessment and review. Academy of Management Review, 14(1), 57–74.

    Used inTesla & Agency Theory
  4. 04

    Hals, T. (2024, January 30). Judge voids Elon Musk's 'unfathomable' $56 billion Tesla pay package. Reuters.link ↗

    Used inTesla & Agency Theory
  5. 05

    Karim, S., & Kaul, A. (2015). Structural recombination and innovation: Unlocking intraorganizational knowledge synergy through structural change. Organization Science, 26(2), 439–455.link ↗

    Used inHP's Half Ambidexterity
  6. 06

    O'Reilly, C. A., III, & Tushman, M. L. (2011). Organizational ambidexterity in action: How managers explore and exploit. California Management Review, 53(4), 5–21.link ↗

    Used inHP's Half Ambidexterity
  7. 07

    Vella, L. (2025, October 9). Battle over Elon Musk's trillionaire pay package builds as pension funds face off against Tesla. Fortune.link ↗

    Used inTesla & Agency Theory
  8. 08

    Weber, Y., & Tarba, S. Y. (2014). Strategic agility: A state of the art. California Management Review, 56(3), 1–8.link ↗

    Used inHP's Half Ambidexterity

05

People at Work

28 sources

Organizational commitment & engagement(11)AI, work & macro effects(6)Policy & national AI(7)Organization design & strategy(4)

Organizational commitment & engagement

  1. 01

    Allen, N. J., & Meyer, J. P. (1990). The measurement and antecedents of affective, continuance and normative commitment. Journal of Occupational Psychology, 63, 1–18.

    Used inPost-COVID Commitment
  2. 02

    Bernstein, E., Horn, M., & Moesta, B. (2024). Why employees quit. Harvard Business Review, 102(6), 44–54.

    Used inPost-COVID Commitment
  3. 03

    Colledani, D., Falvo, R., De Carlo, A., & Capozza, D. (2024). Further evidence for the validity of the KUT: A measure of organizational commitment. TPM, Testing, Psychometrics, Methodology in Applied Psychology, 31(3), 377–396.link ↗

    Used inPost-COVID Commitment
  4. 04

    Doggett, J. M. (2025). Beyond satisfied: Focus on employee commitment to drive engagement. Alaska Business Monthly, 41(4), 60–63.

    Used inPost-COVID Commitment
  5. 05

    Garvin, D. A. (2024, June). Leaders need to reframe the return-to-office conversation. Harvard Business Review.link ↗

    Used inPost-COVID Commitment
  6. 06

    Hanaysha, J. (2016). Examining the effects of employee empowerment, teamwork, and employee training on organizational commitment. Procedia, Social and Behavioral Sciences, 229, 298–306.

    Used inPost-COVID Commitment
  7. 07

    Kayani, B. N. (2023). Impact of organisational culture on organisational commitment: Evidence from Pakistan. Journal of Accounting, Business and Management (JABM), 30(1), 86–96.

    Used inPost-COVID Commitment
  8. 08

    Klein, H. J., Cooper, J. T., Molloy, J. C., & Swanson, J. A. (2014). The assessment of commitment: Advantages of a unidimensional, target-free approach. Journal of Applied Psychology, 99(2), 222–238.link ↗

    Used inPost-COVID Commitment
  9. 09

    Krishnaveni, R., & Ramkumar, N. (2008). Revalidation process for established instruments: A case of Meyer and Allen's organizational commitment scale. The Icfai Journal of Organizational Behavior, VII(2), 7–17.

    Used inPost-COVID Commitment
  10. 10

    Mercurio, Z. (2025). The power of mattering at work. Harvard Business Review, 103(3), 100–109.

    Used inPost-COVID Commitment
  11. 11

    Meyer, J. P., & Allen, N. J. (1991). A three-component conceptualization of organizational commitment. Human Resource Management Review, 1(1), 61–89.

    Used inPost-COVID Commitment

AI, work & macro effects

  1. 01

    Allen, R. C. (2009). Engels' pause: Technical change, capital accumulation, and inequality in the British industrial revolution. Explorations in Economic History, 46(4), 418–435.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Bank of America Institute. (2025, October). Economic shifts in the age of AI. Bank of America.link ↗

    Used inGen-AI, Power & Labor
  3. 03

    Cazzaniga, M., Jaumotte, F., Li, L., Melina, G., Panton, A. J., Pizzinelli, C., Rockall, E., & Tavares, M. M. (2024). Gen-AI: Artificial intelligence and the future of work (Staff Discussion Note SDN/2024/001). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  4. 04

    Crafts, N. (2004). Steam as a general purpose technology: A growth accounting perspective. The Economic Journal, 114(495), 338–351.link ↗

    Used inGen-AI, Power & Labor
  5. 05

    Kroese, B. (2024, December). GDP in the future. Finance & Development, 61(4). International Monetary Fund.link ↗

    Used inGen-AI, Power & Labor
  6. 06

    Penn Wharton Budget Model. (2025, September 8). The projected impact of generative AI on future productivity growth. University of Pennsylvania.link ↗

    Used inGen-AI, Power & Labor

Policy & national AI

  1. 01

    Associated Press. (2026, January 13). Pentagon embraces Musk's Grok AI chatbot as it draws global outcry. PBS News Hour.link ↗

    Used inGen-AI, Power & Labor
  2. 02

    Defense Innovation Unit. (2025). The Replicator initiative: Progress update. U.S. Department of Defense.link ↗

    Used inGen-AI, Power & Labor
  3. 03

    IoT Analytics. (2025, March 4). The leading generative AI companies.link ↗

    Used inGen-AI, Power & Labor
  4. 04

    McGuire, C. (2026, January 14). The new AI chip export policy to China: Strategically incoherent and unenforceable. Council on Foreign Relations.link ↗

    Used inGen-AI, Power & Labor
  5. 05

    Microsoft. (2019, July 22). Microsoft invests in and partners with OpenAI to support us building beneficial AGI [Press release].link ↗

    Used inGen-AI, Power & Labor
  6. 06

    National Security Commission on Artificial Intelligence. (2021). Final report.link ↗

    Used inGen-AI, Power & Labor
  7. 07

    The White House. (2025, July 28). New federal AI action plan.link ↗

    Used inGen-AI, Power & Labor

Organization design & strategy

  1. 01

    Karim, S., & Kaul, A. (2015). Structural recombination and innovation: Unlocking intraorganizational knowledge synergy through structural change. Organization Science, 26(2), 439–455.link ↗

    Used inHP's Half Ambidexterity
  2. 02

    O'Reilly, C. A., III, & Tushman, M. L. (2011). Organizational ambidexterity in action: How managers explore and exploit. California Management Review, 53(4), 5–21.link ↗

    Used inHP's Half Ambidexterity
  3. 03

    Stone, B. (2013). The everything store: Jeff Bezos and the age of Amazon. Little, Brown and Company.

    Used inGen-AI, Power & Labor
  4. 04

    Weber, Y., & Tarba, S. Y. (2014). Strategic agility: A state of the art. California Management Review, 56(3), 1–8.link ↗

    Used inHP's Half Ambidexterity
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End of citations · 102 sources