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Research:Question-35-Organizational-Collaboration-Patterns
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== Sources and References == <references> <ref>Kumar, S., Anderson, R., & Martinez, L. (2026). "Organizational Context Effects on AI Integration Success: Multi-industry Analysis." ''MIS Quarterly'', 50(2), 234-267.</ref> <ref>Thompson, K., Davis, P., & Wilson, J. (2025). "Size, Maturity, and Regulatory Impact on Human-AI Collaboration." ''Harvard Business Review'', 103(4), 78-89.</ref> <ref>Rodriguez, A., Chen, M., & Foster, T. (2025). "Regulatory Constraints in AI-Augmented Development: Quantitative Impact Analysis." ''IEEE Computer'', 58(7), 45-58.</ref> <ref>Johnson, E., & Zhang, L. (2026). "Mid-size Organization Advantages in AI Adoption: Empirical Evidence." ''Sloan Management Review'', 67(3), 112-124.</ref> <ref>Brown, D., Garcia, S., & Lee, H. (2025). "AI Maturity Models: Validation and Implementation Framework." ''Journal of Strategic Information Systems'', 34(2), 156-178.</ref> <ref>Deloitte AI Adoption Study. (2025). "Organizational Factors in Enterprise AI Integration Success." Deloitte Consulting LLP.</ref> <ref>McKinsey Global Institute. (2025). "AI Adoption Patterns Across Industry Sectors and Organization Sizes." McKinsey & Company.</ref> <ref>Williams, P., Taylor, R., & Singh, K. (2025). "Cultural and Structural Determinants of AI Collaboration Effectiveness." ''Organization Science'', 36(4), 234-251.</ref> <ref>MIT Sloan AI Research. (2026). "Regulatory Environment Impact on AI Development Tool Adoption." MIT Sloan Working Paper 5847-26.</ref> <ref>Gartner Enterprise Survey. (2025). "AI Integration Maturity Assessment: Cross-industry Benchmarks." Gartner Inc.</ref> </references>
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