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University–Industry Linkage Framework to Identify Opportunity Areas

Author

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  • David Güemes‐Castorena
  • Idalia E. Ponce‐Jaramillo

Abstract

Although there are many studies of the collaboration between academia and industry in developed countries explaining the phenomenon and prescribing best practices, the findings cannot be extrapolated to developing countries. This article fills the gap by studying these interactions for the case of Mexico. To study these interactions, we performed a state‐of‐the‐art matrix analysis to obtain internal, structural, and environmental factors from literature. Then, an interpretative structural framework was built as a model to identify opportunities in the collaboration process. The results are presented in a map that describes how each element influences the others and highlights opportunities for improvement. The model shows that industry triggers collaboration and presents a highly complex internal organization for the academy. This study helps decision makers in government, the academy, and industry to understand the elements and how the system works to develop strategies that promote more effective collaboration. 用于识别机会领域的大学‐行业联系框架 尽管许多学术研究聚焦于发达国家学术界和行业之间的协作,以解释该现象和定义最佳实践,但这样的研究发现不能类推到发展中国家。本文以墨西哥为例,研究了学术界和行业之间的相互影响,以填补该研究空白。为研究此相互影响,笔者采用最先进的矩阵分析,以获取文献中的内部因素、结构因素和环境因素。然后,笔者提出一项诠释性结构框架模型,识别协作过程中的机遇。研究结果以映射的形式呈现,描述了每个因素如何相互影响,同时强调了提高机遇。模型显示,行业会触发协作,并为学术界提供一个高度复杂的内部组织。本文有助于政府决策者、学术界和行业理解不同因素,和该体系如何运作以发展出促进更有效协作的策略。 Marco de vinculación entre la universidad y la industria para identificar áreas de oportunidad Aunque hay muchos estudios sobre la colaboración entre el mundo académico y la industria en países desarrollados que explican el fenómeno y prescriben las mejores prácticas, los resultados no pueden extrapolarse a los países en desarrollo. Este artículo llena el vacío al estudiar estas interacciones para el caso de México. Para estudiar estas interacciones, realizamos un análisis matricial de vanguardia para obtener factores internos, estructurales y ambientales de la literatura. Luego, se construyó un marco estructural interpretativo como modelo para identificar oportunidades en el proceso de colaboración. Los resultados se presentan en un mapa que describe cómo cada elemento influye en los demás y destaca las oportunidades de mejora. El modelo muestra que la industria activa la colaboración y presenta una organización interna altamente compleja para la academia. Este estudio ayuda a los que toman decisiones en el gobierno, la academia y la industria a comprender los elementos y funcionamiento el sistema para desarrollar estrategias que promuevan una colaboración más efectiva.

Suggested Citation

  • David Güemes‐Castorena & Idalia E. Ponce‐Jaramillo, 2019. "University–Industry Linkage Framework to Identify Opportunity Areas," Review of Policy Research, Policy Studies Organization, vol. 36(5), pages 660-682, September.
  • Handle: RePEc:bla:revpol:v:36:y:2019:i:5:p:660-682
    DOI: 10.1111/ropr.12355
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    Cited by:

    1. Matilde Reséndiz-Castro & Rosalba Zepeda-Bautista & Ignacio Enrique Peón-Escalante, 2022. "Transdisciplinary Cyber-systemic Design of Instruments to Measure Academic Performance in Middle and Higher Education Systems," Systemic Practice and Action Research, Springer, vol. 35(3), pages 395-440, June.
    2. Gabriela Sarabia-Altamirano & Julio Martínez-Burnes & José A. Ramírez-de León, 2024. "Knowledge and Technology Transfer Channels Used by the Academy: Evidence from Mexico," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 63-87, March.
    3. de Almeida, Liliane & Augusto de Jesus Pacheco, Diego & Caten, Carla Schwengber ten & Jung, Carlos Fernando, 2021. "A methodology for identifying results and impacts in technological innovation projects," Technology in Society, Elsevier, vol. 66(C).

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