Digital Authenticity under Generative AI: Mechanisms of Synthetic Signal Construction and Strategic Legitimacy in Branding

Authors

  • Nuk Ghurroh Setyoningrum Universitas Cipasung Tasikmalaya Author
  • Ahmad Mundzir VISTA Research Center Author

DOI:

https://doi.org/10.66203/manexia.01205

Keywords:

digital authenticity, dynamic capabilities, generative artificial intelligence, signaling theory, synthetic signal orchestration, strategic legitimacy

Abstract

The diffusion of generative artificial intelligence (GenAI) in branding practices challenges a central assumption in authenticity research: that legitimacy derives primarily from indexical continuity between expressive artifacts and experiential origin. As firms increasingly rely on synthetic systems to produce scalable, adaptive, and stylistically coherent brand communications, the structural linkage between expression and embodied authorship becomes attenuated. This article develops a mechanism-based framework to explain how authenticity and strategic legitimacy are reconstructed under conditions of generative intensification. Integrating signaling theory, legitimacy theory, and dynamic capabilities, the analysis conceptualizes authenticity as an emergent property of orchestrated synthetic signal regimes rather than as an intrinsic attribute of origin. The framework specifies a curvilinear relationship between generative AI intensity and perceived authenticity: moderate integration enhances coherence and responsiveness, while uncalibrated intensification risks signal dilution and perceived artificiality. Perceived authenticity mediates the effect of generative intensity on strategic legitimacy, and synthetic signal orchestration capability conditions the threshold at which legitimacy erosion occurs. Contextual salience, including heritage intensity and customer epistemic sensitivity, further shapes these dynamics. By reframing authenticity as governance-dependent under digital abundance, the article extends branding theory and dynamic capabilities scholarship while providing a structured agenda for empirical examination of AI-enabled marketing transformation.

References

Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514. https://doi.org/10.1126/science.aaa1465

Anand, A., Singh, S. K., Bowen, M., & Rangarajan, D. (2024). Strategic renewal during crises. Journal of International Management, 30(3), 101134. https://doi.org/10.1016/j.intman.2024.101134

Beverland, M. B. (2005). Crafting brand authenticity: The case of luxury wines. Journal of Management Studies, 42(5), 1003–1029. https://doi.org/10.1111/j.1467-6486.2005.00530.x

Beverland, M. B., & Farrelly, F. J. (2010). The quest for authenticity. Journal of Consumer Research, 36(5), 838–856. https://doi.org/10.1086/615047

Chaudhuri, R., et al. (2024). Emerging technologies and data-driven culture. Technological Forecasting and Social Change, 200, 123165. https://doi.org/10.1016/j.techfore.2023.123165

Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67. https://doi.org/10.1177/0149206310388419

Deephouse, D. L., & Carter, S. M. (2005). An examination of differences between legitimacy and reputation. Journal of Management Studies, 42(2), 329–360. https://doi.org/10.1111/j.1467-6486.2005.00499.x

de Haan, E., Padigar, M., El Kihal, S., Kübler, R., & Wieringa, J. E. (2024). Unstructured data research in business. Journal of Business Research, 177, 114655. https://doi.org/10.1016/j.jbusres.2024.114655

Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10–11), 1105–1121. https://doi.org/10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO;2-E

Grayson, K., & Martinec, R. (2004). Consumer perceptions of iconicity and indexicality. Journal of Consumer Research, 31(2), 296–312. https://doi.org/10.1086/422109

Hartley, N., Kunz, W., & Tarbit, J. (2024). Corporate digital responsibility calculus. Organizational Dynamics, 53(2), 101056. https://doi.org/10.1016/j.orgdyn.2024.101056

Helfat, C. E., & Peteraf, M. A. (2003). The dynamic resource-based view. Strategic Management Journal, 24(10), 997–1010. https://doi.org/10.1002/smj.332

Holt, D. B. (2002). Why do brands cause trouble? Journal of Consumer Research, 29(1), 70–90. https://doi.org/10.1086/339922

Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing. International Journal of Information Management, 77, 102783. https://doi.org/10.1016/j.ijinfomgt.2024.102783

Levinthal, D. A. (1997). Adaptation on rugged landscapes. Management Science, 43(7), 934–950. https://doi.org/10.1287/mnsc.43.7.934

Levinthal, D. A., & March, J. G. (1993). The myopia of learning. Strategic Management Journal, 14(S2), 95–112. https://doi.org/10.1002/smj.4250141009

March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87. https://doi.org/10.1287/orsc.2.1.71

Mariani, M. M., & Dwivedi, Y. K. (2024). Generative AI in innovation management. Journal of Business Research, 175, 114542. https://doi.org/10.1016/j.jbusres.2024.114542

Martin, K. (2018). The penalty for privacy violations. Journal of Business Research, 82, 103–116. https://doi.org/10.1016/j.jbusres.2017.09.016

Morhart, F., Malär, L., Guèvremont, A., Girardin, F., & Grohmann, B. (2015). Brand authenticity. Journal of Consumer Psychology, 25(2), 200–218. https://doi.org/10.1016/j.jcps.2014.11.002

Napoli, J., Dickinson, S., Beverland, M., & Farrelly, F. (2014). Measuring consumer-based brand authenticity. Journal of Business Research, 67(6), 1090–1098. https://doi.org/10.1016/j.jbusres.2013.06.001

Pedersen, C. L., & Ritter, T. (2024). Digital authenticity. Industrial Marketing Management, 123, 162–172. https://doi.org/10.1016/j.indmarman.2024.10.005

Riemer, K., & Peter, S. (2024). Conceptualizing generative AI as style engines. International Journal of Information Management, 79, 102824. https://doi.org/10.1016/j.ijinfomgt.2024.102824

Ritala, P., Aaltonen, P., Ruokonen, M., & Nemeh, A. (2024). Developing industrial AI capabilities. Technovation, 138, 103120. https://doi.org/10.1016/j.technovation.2024.103120

Saura, J. R., Škare, V., & Ozretic Dosen, D. (2024). Is AI-based digital marketing ethical? Journal of Innovation & Knowledge, 9(4), 100597. https://doi.org/10.1016/j.jik.2024.100597

Siggelkow, N., & Levinthal, D. A. (2003). Temporarily divide to conquer. Organization Science, 14(6), 650–669. https://doi.org/10.1287/orsc.14.6.650.24840

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

Suchman, M. C. (1995). Managing legitimacy. Academy of Management Review, 20(3), 571–610. https://doi.org/10.5465/amr.1995.9508080331

Teece, D. J. (2007). Explicating dynamic capabilities. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640

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

Winter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995. https://doi.org/10.1002/smj.318

Zollo, M., & Winter, S. G. (2002). Deliberate learning and dynamic capabilities. Organization Science, 13(3), 339–351. https://doi.org/10.1287/orsc.13.3.339.2780

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Published

05-05-2025