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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/123899

    Title: Non-parametric Inference on Risk Measures for Integrated Returns
    Authors: Tsai, Henghsiu;Ho, Hwai-Chung;Chen, Hung-Yin
    Keywords: Mobile banking;Technology acceptance;User adoption;Intention
    Date: 2020-09
    Issue Date: 2023-04-28 20:46:42 (UTC+8)
    Abstract: Purpose: Increased penetration of mobile phones has built great opportunities for increasing the level of financial inclusion around the world. Digital channels help banks in not only attracting new customers but also in ensuring that the existing ones remain loyal. This chapter studies the incentives to encourage the use of mobile banking by smartphone and tablet users.

    Design/methodology/approach: An online survey is conducted to explore possible relations between the potential determinants of the intention to use mobile banking. The model is assessed with Partial Least Squares Structural Equation Modelling (PLS-SEM) technique.

    Findings: The results show that perceived usefulness and perceived efforts tend to be the most significant factors in the adoption of mobile banking. However, such factors as perceived risks, compatibility with lifestyle and social influence are found to be insignificant due to some cultural and institutional features attributed to CIS countries.

    Originality/value: This chapter contributes to the field of m-banking studies by focusing on both smartphone and tablet users. At least, the majority of respondents represent Y and Z generations who seem to move from traditional banking to digital channels.
    Relation: Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning
    Appears in Collections:[Graduate Institute & Department of Accounting] Chapter

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