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Leadership. Innovation. AI.

The Journal of Young Innovators

Peer-reviewed research by high school and college students, published open access.

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Beyond the Black Box: What 103 Studies Reveal About AI and Business Innovation

T. Yang

This research paper evaluates how artificial intelligence, or AI, is changing the way companies around the world come up with new ideas and run their businesses. By looking at over 100 high-quality studies published between 2018 and 2024, we discovered that AI is much more than just a cool new gadget; it is actually a powerful force that is helping businesses create better products, work more efficiently, and understand their customers on a much deeper level.

Beyond the American Lens: Examining the South Vietnamese Voice in Films and Documentaries

V. Le

This article examines the erasure of the South Vietnamese perspective in Vietnam War films and documentaries, arguing that this absence distorts public memory and historical understanding of the conflict. While the narratives of American soldiers and North Vietnamese ideologies are frequently centered in cinematic portrayals, the experiences, ideologies, and motivations of the South Vietnamese–those who fought to defend their sovereignty–are often sidelined, stereotyped, or omitted altogether.

Bilingual, Bicultural, and Charismatic? Reassessing Social Capability Among Students Who Grow Up Between Cultures

M. Luo

This literature review examines whether bilingual and bicultural students, individuals who grow up speaking two languages and navigating multiple cultural contexts, such as immigrants and green-card holders, possess greater charisma, adaptability, and social capability than their monolingual peers. Drawing on research from cultural psychology, sociolinguistics, and organizational behavior, the review synthesizes findings on cultural intelligence (CQ), cultural frame-switching, code-switching, bicultural identity integration (BII), and the individualism-collectivism dimension.

The Role of Algorithmic Trading in the U.S. Stock Market

Z. Zhang

This paper reviews empirical research on algorithmic trading in the U.S. stock market and argues that its effects on price efficiency, transaction costs, and market volatility all stem from a single underlying behavior: the voluntary supply of liquidity by algorithmic and high-frequency trading firms. These firms are not required to keep trading when conditions turn unfavorable, so they supply liquidity when doing so is profitable and withdraw it when it is not.

The Global Testing Business: Standardization, Inequality, and the Unfairness of One‑Size‑Fits‑All Assessment

S. Tong

Standardized English proficiency tests such as the Test of English as a Foreign Language (TOEFL) serve as gatekeepers to higher education for millions of students each year, yet the assumption that a single timed test fairly measures a student's ability is seldom examined critically. This review consolidates research on the global testing industry across three connected questions raised by the field: how standardized tests fail diverse learners, how the commercial testing business profits from exclusion, and how assessment might be reimagined beyond a single score.

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