The Cultural Enablers and Barriers of AI Adoption In Strategic Marketing Decision-Making: From Resistance to Transformation
DOI:
https://doi.org/10.14419/gk3pjd18Keywords:
Artificial Intelligence; Organizational Culture; Change Readiness; Strategic Marketing; Saudi Arabia; Innovation Adoption; Thematic Analysis; Vision 2030.Abstract
Purpose: This research examines how cultural factors act as both enablers and barriers in the adoption of artificial intelligence (AI) for strategic marketing decision-making, shaping the journey from organizational resistance to transformative integration.
Method/approach: Drawing from secondary qualitative data and thematic approach to analysis, the study verifies how organizational culture characteristics such as innovation, risk-openness, collaboration, and flexibility align with an organization's preparedness for change in determining adoption outcomes.
Results: The research demonstrates that enablers of culture promote the uptake, but the blockers are driven by hierarchical working cultures, the needs of the labour market, and low technical capability. Change readiness has emerged as a key driver to bridge this gap by converting cultural advantage into adoption. The discourse is within Schein's Organizational Culture Theory and Rogers' Diffusion of Innovation, both of which combined provide the frame of reference required in examining the Saudi case. Other larger projects like those undertaken by SDAIA and HUMAIN under Vision 2030 suggest the context within which such processes occur.
Conclusions: This research contributes to the literature by taking the use of culture and readiness models for AI adoption further into the Middle Eastern setting and offering practical insights for marketing managers to roll out AI more organically.
References
Alateeg, S., & Alhammadi, A. (2024). The impact of organizational culture on organizational innovation with the mediation role of strategic leadership in Saudi Arabia. Journal of Statistics Applications & Probability, 13(2), 419–433.
Armenakis, A. A., & Harris, S. G. (2009). Reflections: Our journey in organizational change research and practice. Journal of Change Management, 9(2), 127–142. https://doi.org/10.1080/14697010902879079.
Boston Consulting Group (BCG). (2025). The GCC AI pulse: Mapping the region’s readiness for an AI-driven future. https://www.bcg.com/publications/2025/the-gcc-ai-pulse-mapping-the-regions-readiness-for-an-ai-driven-future.
Boslaugh, S. (2007). Secondary data sources for public health: A practical guide. Cambridge University Press. https://doi.org/10.1017/CBO9780511618802.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa.
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (4th ed.). Sage.
Cisco. (2023). AI readiness index—Saudi Arabia. https://www.cisco.com/c/dam/m/en_us/solutions/ai/readiness-index/documents/cisco-ai-readiness-index-saudi-arabia.pdf.
Deloitte Middle East. (2025). Digital consumer trends 2025 (KSA & UAE). https://www.deloitte.com/middle-east/en/Industries/tmt/perspectives/digital-consumer-trends-2025.html.
Deloitte Middle East. (2025, September). Consumers in the UAE and KSA driving surge in AI adoption and social commerce (Press coverage). https://www.consultancy-me.com/news/11592/deloitte-consumers-in-uae-and-ksa-driving-surge-in-ai-adoption-and-social-commerce.
Davenport, T. H., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi.org/10.1007/s11747-019-00696-0.
Flick, U. (2018). An introduction to qualitative research (6th ed.). Sage. https://doi.org/10.4135/9781529622737.
Financial Times. (2025, July). The Gulf’s ambitious bet on AI. https://www.ft.com/content/1585a227-76db-49b3-a78e-5d5adf0997e7.
Grewal, D., Noble, S. M., Roggeveen, A. L., & Scott, M. L. (2024). How generative AI is shaping the future of marketing. Journal of the Academy of Marketing Science, 53(3), 1–21. https://doi.org/10.1007/s11747-024-01064-3.
Hermann, E., Brignone, C., Springer, A., & Kalinowski, S. (2021). Leveraging artificial intelligence in marketing for social good and a better customer experience. Sustainability, 13(11), 6119.
Hussein, K. (2025, March 6). The AI revolution: Unlocking Saudi Arabia’s economic potential. https://en.sharikatmubasher.com/media-hub/experts-thoughts/8152.
Integrator Media. (2024, December 16). UAE and Saudi businesses cite factors that stall or halt AI projects. Integrator Media.
Johnston, M. P. (2017). Secondary data analysis: A method of which the time has come. Qualitative and Quantitative Methods in Libraries, 3(3), 619–626.
Kumar, V., Dixit, A., Javalgi, R. G., & Dass, M. (2015). Research framework, strategies, and applications of intelligent agent technologies (IATs) in marketing. Journal of the Academy of Marketing Science, 43(4), 548–571.
McKinsey & Company. (2024). The state of gen AI in the Middle East’s GCC countries: A 2024 report card. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-gen-ai-in-the-middle-easts-gcc-countries-a-2024-report-card.
Memish, Z. A., Al-Tawfiq, J. A., & Alharthy, A. (2021). The Saudi Data & Artificial Intelligence Authority (SDAIA): A national framework for digital transformation. Journal of Infection and Public Health, 14(6), 701–703.
Oliver Wyman Forum. (2024). GCC is a world leader in AI usage—but that comes with risks. https://www.oliverwymanforum.com/artificial-intelligence/2024/mar/gcc-is-a-world-leader-in-ai-usage---but-that-comes-with-risks.html. https://doi.org/10.1002/ltl.20855.
Public Investment Fund (PIF). (2025, May 12). HRH Crown Prince launches HUMAIN as global AI powerhouse (Press release). https://www.pif.gov.sa/en/news-and-insights/press-releases/2025/hrh-crown-prince-launches-humain-as-global-ai-powerhouse/.
PwC Middle East. (2024, June 2). Digital innovation strategies key to overcoming challenges in Saudi Arabia’s transformation. https://www.pwc.com/m1/en/media-centre/2024/digital-innovation-strategies-key-to-overcoming-challenges-in-saudi-arabia-transformation.html.
Rakova, B., Yang, J., Cramer, H., & Raghavan, M. (2020, July). Where responsible AI meets reality: Practitioner perspectives on enablers for responsible AI. In Proceedings of the 2020 AAAI/ACM Conference on AI, Ethics, and Society (pp. 57–63).
Reuters. (2025, May 12). Saudi Arabia launches company to develop artificial intelligence under PIF. https://www.reuters.com/world/middle-east/saudi-arabia-launches-company-develop-artificial-intelligence-under-pif-2025-05-12/.
Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.
Saudi Data & AI Authority (SDAIA). (2025-a). SDAIA and Vision 2030. https://sdaia.gov.sa/en/SDAIA/SdaiaStrategies/Pages/sdaiaAnd2030Vision.aspx.
Saudi Data & AI Authority (SDAIA). (2025b). National Strategy for Data & AI (NSDAI). https://sdaia.gov.sa/en/SDAIA/SdaiaStrategies/Pages/NationalStrategyForDataAndAI.aspx.
Saudi Data & AI Authority (SDAIA). (2025-c). Digital empowerment and inclusion. https://sdaia.gov.sa/en/SDAIA/SdaiaStrategies/Pages/DigitalInclusion.aspx.
Schein, E. H. (2017). Organizational culture and leadership (5th ed.). Wiley.
Weiner, B. J. (2009). A theory of organizational readiness for change. Implementation Science, 4, 67. https://doi.org/10.1186/1748-5908-4-67.
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