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Stocks Investment Decision-Making: A Theoretical Model

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HCI in Games (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14046))

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Abstract

With the proliferation of technology, equity investors have more access to financial information that enables them to make investment decisions independently. However, this decision-making process is mostly ignored by the HCI and IS literature. Therefore, this study seeks to address this gap by investigating individual users’ intention to invest in stocks by developing a Value-Cost model. The model is based on the Transaction Cost Economics Theory (TCE) and the concept of perceived value. The study model argues that as long as the users’ perceptions of benefits are higher than the endured costs, users will perceive stocks investment as a valuable endeavor, forming positive intentions towards investment. The model is presented, and hypotheses are proposed.

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Authors and Affiliations

  1. DePaul University, Chicago, IL, 60604, USA

    Saeed Abo-oleet & Xiaowen Fang

  2. Florida Gulf Coast University, Fort Myers, FL, 33965, USA

    Fan Zhao

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  1. Saeed Abo-oleet
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  1. DePaul University, Chicago, IL, USA

    Xiaowen Fang

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Abo-oleet, S., Zhao, F., Fang, X. (2023). Stocks Investment Decision-Making: A Theoretical Model. In: Fang, X. (eds) HCI in Games. HCII 2023. Lecture Notes in Computer Science, vol 14046. Springer, Cham. https://doi.org/10.1007/978-3-031-35930-9_1

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