The Leadership CODE for AI Transformation: Unlocking Economic Value through Change Management and Human-Centred Design

Authors

DOI:

https://doi.org/10.4108/eetsbi.12203

Keywords:

artificial intelligence transformation, behavioural economics, change management, CODE Framework, ethical governance, human-centred design, leadership, organisational alignment

Abstract

INTRODUCTION: Despite heavy investment in artificial intelligence infrastructure and talent, an estimated 70–85% of digital transformation projects fail, partly because human-focused leadership models are lacking.
OBJECTIVES: This study develops and illustrates the CODE Framework, an integrative leadership model combining change management, behavioural economics, human-centred design and ethical governance.
METHODS: A qualitative theoretical synthesis was combined with a comparative case study of two organisations, JPMorgan Chase and Lenovo.
RESULTS: The four pillars (Clarity of Vision, Organisational Alignment, Design for Humans and Ethical Governance) proved mutually reinforcing, with measurable outcomes evident in both organisations.
CONCLUSION: The framework offers leaders an integrated roadmap for artificial intelligence-driven transformation, and the case evidence is preliminary and exploratory rather than a validation.

References

[1] Mithas S, Chen ZL, Saldanha TJ, De Oliveira Silveira A. How will artificial intelligence and industry 4.0 emerging technologies transform operations management? Prod Oper Manag. 2022;31(12):4475–4487.

[2] Parycek P, Schmid V, Novak AS. Artificial intelligence (AI) and automation in administrative procedures: potentials, limitations, and framework conditions. J Knowl Econ. 2024;15(2):8390–8415.

[3] Bellantuono N, Nuzzi A, Pontrandolfo P, Scozzi B. Digital transformation models for the I4.0 transition: lessons from the change management literature. J Open Innov Technol Mark Complex. 2021;7(3):202.

[4] Murire OT. Artificial intelligence and its role in shaping organizational work practices. Adm Sci. 2024;14(12):316.

[5] Bock T, von der Oelsnitz D. Leadership competences in the era of artificial intelligence. Strategy Leadersh. 2025;53(3):235–255.

[6] Margetis G, Ntoa S, Antona M, Stephanidis C. Human-centered design of artificial intelligence. In: Salvendy G, Karwowski W, editors. Handbook of Human Factors and Ergonomics. 5th ed. Hoboken (NJ): Wiley; 2021. p. 1085–1106.

[7] Rodriguez Villanueva L, Schwarz AH. Navigating organizational transformations: change management frameworks study [Master’s thesis]. Lund: Lund University; 2025.

[8] Walmsley J. Artificial intelligence and the value of transparency. AI Soc. 2021;36(2):585–595.

[9] Saura JR, Bužinskienė R. Behavioral economics, AI and entrepreneurship. Int Entrep Manag J. 2025;21(1):1–33.

[10] Eckert SJ, McCoy M. Benefits of behavioral nudges in retirement savings programs. J Financ Plan. 2024;37(3):72–86.

[11] Hofman B, de Vries G, van de Kaa G. Status quo biases and traditions slow the adoption of sustainable technologies. Energy Res Soc Sci. 2022;84:102367.

[12] Zhou L, Paul S, Demirkan H, Yuan L, Spohrer J, Zhou M, et al. Intelligence augmentation: towards building human-machine symbiotic relationship. AIS Trans Hum-Comput Interact. 2021;13(2):243–264.

[13] Ammer MA, Alqahtani AS, Alqahtani FS, Alqahtani MS, Ammer AA. Application of artificial intelligence for better investment in human capital. Mathematics. 2023;11(3):612.

[14] Chinthala KKR, Thakur MS, Shuaib M, Alam S. Computational intelligence in society: human-centric solutions. J Comput Cogn Eng. 2024;3(2):126–139.

[15] Yin RK. Case Study Research and Applications: Design and Methods. 6th ed. SAGE Publications; 2018.

[16] Patton MQ. Qualitative Research and Evaluation Methods. 3rd ed. SAGE Publications; 2002.

[17] Miles MB, Huberman AM, Saldaña J. Qualitative Data Analysis: A Methods Sourcebook. 3rd ed. SAGE Publications; 2014.

[18] JPMorgan Chase & Co. Annual Report 2023. New York: JPMorgan Chase & Co.; 2023.

[19] Munir T. Reimagine Finance: The CFO’s Leadership Playbook for the Age of AI, Data, and Digital. Hoboken (NJ): John Wiley & Sons; 2025.

[20] Lenovo Group Limited. Environmental, Social and Governance Report 2022/23. Hong Kong: Lenovo Group Limited; 2023.

[21] Lenovo Group Limited. Annual Report 2023/24. Hong Kong: Lenovo Group Limited; 2024.

[22] Affizie G. The Cyclical Interdependence Theory of Needs. SSRN Working Paper 4979455;2024.

[23] Schiuma G, Schettini E, Santarsiero F, Carlucci D. The transformative leadership compass: six competencies for digital transformation entrepreneurship. Int J Entrep Behav Res. 2022;28(5):1273–1291.

[24] Aggarwal A, Dhaliwal RS, Nobi K. Impact of structural empowerment on organisational commitment: the mediating role of women’s psychological empowerment in the context of the IT industry. Vision. 2022;26(2):147–157.

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Published

07-10-2026

How to Cite

1.
Gutola BR. The Leadership CODE for AI Transformation: Unlocking Economic Value through Change Management and Human-Centred Design. EAI Endorsed Trans on SBI [Internet]. 2026 Oct. 7 [cited 2026 Oct. 7];2(1). Available from: https://publications.eai.eu/index.php/smartbusiness/article/view/12203