Modeling Digital and Sustainable Innovation Pathways in Tijuana’s Business Ecosystem
DOI:
https://doi.org/10.18687/LACCEI2026.1.1.752Keywords:
dual transformation maturity index, digital transformation, sustainable transformationAbstract
– In the context of accelerating digital transitions and growing sustainability pressures, firm ́s ability to simultaneously advance Digital Transformation (DT) and Sustainable Transformation (ST)- referred to as dual transformation- has become a critical determinant of inclusive and resilient development. Yet, empirical evidence on how these processes unfold jointly within emerging and border-region economies remains limited. This study contributes to innovation-for-development research by modeling firm-level dual transformation readiness within the business ecosystem of Tijuana, Mexico. Using a validated self-diagnosis instrument, data was collected in 2023 from 148 firms operating in Tijuana, encompassing diverse firm sizes, export orientations, certification status, and organizational responsibility structures. A descriptive analysis approach reveals that, on average, sustainability transformation maturity exceeds digital transformation maturity, indicating uneven capability development across two dimensions. Considerable heterogeneity is observed across firms with midsize and non-exporting firms exhibiting higher overall dual transformation maturity, while exporting oriented, large and certified firms tend to cluster at lower maturity levels. The findings suggest that dual transformation is shaped less by formal compliance mechanisms and international market exposure and more by organizational capabilities, governance arrangements, and strategic autonomy. By providing an empirically grounded maturity model, this research contributes to innovation systems scholarship and offers policy-relevant insights for supporting inclusive upgrading and sustainable development in regions operating at the margins of global value chains. Future research may extend this framework through inferential, longitudinal, and predictive approaches to capture dynamic transformation trajectories over time.Downloads
Published
2026-07-27
Issue
Section
Articles
Copyright
Copyright (c) 2026 LACCEI
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
LACCEI retains copyright of all published articles under the terms of its copyright transfer agreement. As the copyright holder, LACCEI distributes the articles to the public under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0).
How to Cite
Rosales-Soto, A., Mendoza-Ibarra, V., & Encinas-Grijalva, M. D. S. (2026). Modeling Digital and Sustainable Innovation Pathways in Tijuana’s Business Ecosystem. LACCEI, 1(14). https://doi.org/10.18687/LACCEI2026.1.1.752