The Assumption University Institutional Repository (AU-IR) is a digital repository which preserves and distributes AU's publications, including papers, scholarly articles, dissertations, theses, project reports, student reports, achievements, news, and activities.

AU-IR promotes long-term collection and preservation of data in the repository. Faculty , staff and students are welcome to deposit and distribute their working papers, research materials, technical reports, and other electronic materials online.

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    Undergraduate bulletin 2020-2021 Edition 

    Assumption University. Office of the Registrar (2020)
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    Reaching out to International Freshmen and current students at the Theophane Venard School of Biotechnology 

    Assumption University. Theophane Venard School of Biotechnology (2021-07-20)
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    Factors influencing the purchase decision of celebrity endorsement products in Zhejiang 

    Ye, Tong; Kim, Seongdok (Assumption University Press, 2021)

    The purpose of this study is to determine the factors that influence Zhejiang Chinese consumers’ decision to purchase celebrity endorsed products. The source attractiveness model, the source credibility model, and the meaning transfer model were reviewed to identify the important factors in this current study. The researcher used an online questionnaire to survey 389 respondents who live in Zhejiang Province and have purchased celebrity-endorsed products. Besides, this study used convenience sampling and snowball sampling to analyze 389 data se...
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    Exploring the factors influencing an organisation in Thailand to adopt cloud computing platforms 

    Yadav, Sachin; Papitchaya Wisankosol (Assumption University Press, 2021)

    This research is aimed to explore the factors influencing organizations in Thailand to adopt to cloud computing platforms. The study was conducted utilizing the theory of planned behavior (attitude toward the behavior, subjective norms, perceived behavioral control) with an additional factor known as the perceived usefulness, perceived ease of use, and satisfaction to predict companies' intention to adopt to cloud. The research was conducted as a quantitative analysis with descriptive and inferential research with a sample size of 284 respond...
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