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1 – 2 of 2Anett Erdmann and Luis Toro-Dupouy
In higher education, the appreciation and implementation of artificial intelligence (AI) has led to debate and polarization. This study examines how the institutional environment…
Abstract
Purpose
In higher education, the appreciation and implementation of artificial intelligence (AI) has led to debate and polarization. This study examines how the institutional environment at universities impacts the value perception and intention to adopt AI in higher education. It seeks to optimize the adoption pathway by identifying essential “must-have factors” and “value drivers.”
Design/methodology/approach
Employing the technology-organization-environment (TOE) framework alongside the technology acceptance model (TAM) framework and perceived value concepts, this research utilizes a partial least squares structural equation modeling (PLS-SEM) approach complemented by necessary condition analysis (NCA), a novel approach in this context, which allows us to distinguish between critical antecedents and value drivers in the evaluation and adoption of AI technology.
Findings
Results indicate that organizational complexity, readiness, competency, compatibility and competitive advantage significantly affect the perceived value of AI, mediated by stakeholders’ perceptions of its ease of use and usefulness. These factors enhance the intention to adopt AI in higher education. Perceived usefulness has the highest effect size and the importance of ease of use differs between Europe and South America. External factors like partner support and competitive advantage are necessary considerations to be met, while competitive advantage and some internal factors are sufficient conditions for AI adoption.
Originality/value
The study underscores the importance of certain institutional factors, setting priorities for management actions in AI adoption. It differentiates between the general appreciation of AI and the intention of practical implementation, highlighting the role of partner support as a necessary condition, although a non-value-driving factor.
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Alejandra Martínez-Pereira, Mercedes Mercado-Órdenes, Carla Olivari, Andy Antipichún and Teresita Rocha-Jimenez
The purpose of this study is to qualitatively explore the impact of family separation and transnational parenthood on Haitian migrant women’s mental health living in Santiago…
Abstract
Purpose
The purpose of this study is to qualitatively explore the impact of family separation and transnational parenthood on Haitian migrant women’s mental health living in Santiago, Chile.
Design/methodology/approach
Sixteen in-depth interviews were conducted with Haitian men and women living in Santiago de Chile, and based on an inductive perspective, a thematic analysis was performed.
Findings
The process of family reunification has been specifically hard in the past years, therefore, almost no one has been able to bring their children to Chile despite having a permanent visa. An important aspect of their testimonies is that they feel guilty about having someone else taking care of their children, even though sometimes they are the ones financially supporting the entire extended family.
Originality/value
This study’s findings show how family separation, ransnational parenthood, and migration experiences particularly affect Haitian igrant women’s mental health and provides relevant information on its onsequences for their quality-of-life. However, it is surprising that having plans to move out was a protective factor against symptoms of depression.
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