St. Mary's University, Texas

Digital Commons at St. Mary's University, San Antonio
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    12691 research outputs found

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1064/thumbnail.jp

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1067/thumbnail.jp

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1068/thumbnail.jp

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1073/thumbnail.jp

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1079/thumbnail.jp

    Red Mass, 2024

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    https://commons.stmarytx.edu/redmass2024/1082/thumbnail.jp

    Documenting Music: Chronicling the Fiesta Jazz Festival at St. Mary’s University

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    “Documenting Music: Chronicling the Fiesta Jazz Festival at St. Mary’s University” records memories of the Fiesta Jazz Festival at St. Mary’s University and provides a detailed history of the festival since 1962. Through archival visits, newspaper articles, photos, as well as oral interviews of the Jazz Studies Directors and the volunteer coordinator, the project shares the history of the festival’s structure and organizing efforts. Moreover, the project highlights the festival’s performance information, guest artists, the preparation process, and organizers’ experiences throughout the decades. This project preserves the history for the Music Department and its student community at St. Mary’s University, recording the history of the festival for the first time. By sharing this history, this project connects St. Mary’s students, staff and faculty into a more united community, while also adding to the history of jazz in San Antonio.https://commons.stmarytx.edu/capstone/1021/thumbnail.jp

    2025-09-23 Executive Council Minutes

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    AI-Powered Content Strategy Implementation: Evaluating Effectiveness for Startups in Four Industries

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    Startups face significant challenges in today’s rapidly evolving digital marketplace, particularly when competing with larger firms that can more readily absorb risk and adapt to technological change. Although established frameworks such as the Business Model Canvas (BMC) and Joe Pulizzi’s Content Inc. model provide valuable guidance for early-stage ventures, they do not fully address the demands of modern marketing in an era increasingly defined by artificial intelligence (AI). This qualitative multiple-case study examines how an AI-enhanced Content Inc. model can support more effective content marketing strategies for startups operating in four distinct industries: food, custom software development, outdoor consumer products, and grant management software. Using the BMC as a contextual framework, this research focuses on founders’ firsthand experiences and feedback to understand how AI tools influence the development and implementation of content strategies. Semi-structured interviews were conducted with the founders of each participating startup to capture insights on current practices, challenges, and the practical application of AI within a content-driven approach. Cross-case analysis was then used to compare how each industry adapted to the AI-enhanced model, highlighting which sectors may be best positioned for successful implementation. While the study’s findings are limited by its small sample size and an eight-week research period, the results aim to offer actionable insights for startups seeking to build sustainable growth through more efficient, technology-supported marketing strategies.https://commons.stmarytx.edu/msrjs/1052/thumbnail.jp

    Gold & Blue Law Edition, Fall 2025

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    This is the Fall 2025 edition of Gold & Blue Law Edition which is St. Mary\u27s University\u27s official School of Law publication.https://commons.stmarytx.edu/goldblue_law/1014/thumbnail.jp

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    Digital Commons at St. Mary's University, San Antonio
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