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Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking

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  • Tian Chen

    (School of Economics and Management, Dongguan University of Technology, Dongguan 523808, China
    School of Management, University of Science and Technology of China, Hefei 230026, China)

  • Chun-Ming Yang

    (School of Economics and Management, Dongguan University of Technology, Dongguan 523808, China)

  • Kuen-Suan Chen

    (Department of Industrial Engineering and Management, National Chin-Yi University of Technology, Taichung 41170, Taiwan
    Department of Business Administration, Chaoyang University of Technology, Taichung 41349, Taiwan
    Institute of Innovation and Circular Economy, Asia University, Taichung 41354, Taiwan)

  • Ting-Hsin Hsu

    (Department of Finance, National Taichung University of Science and Technology, Taichung 40401, Taiwan)

Abstract

As the environment of the Internet of Things (IoT) gradually becomes common and mature, various smart application (APP) platforms have sprung up, making what we are doing more convenient, more economical and more efficient. Then, this paper used a bank APP as the research background to discuss issues related to smart APPs. Obviously, through the bank APPs, customers can complete their transfer and payment for various expenses at home, eliminating the inconvenience of going out, which not only can alleviate traffic congestion as well as reduce carbon emissions but also can save the manpower expenditure costs for banks. Consequently, improving APP performance and increasing the number of users of an APP is a very important issue. Therefore, this paper proposed an APP performance index to evaluate the performance of a bank APP. This APP performance index is to evaluate the performance of the APP through the time interval of customers’ access to the APP. The shorter the time interval is, the greater the number of users within a unit time is. In addition, based on cost considerations and effectiveness, the sample size n is usually not too large in practice, in order to make decisions quickly and accurately in a short time. Since the fuzzy testing model based on the confidence interval can be integrated with the past accumulated experience of data experts, the testing accuracy can be leveled up under the condition of small-sized samples. Accordingly, a fuzzy evaluation model was proposed to evaluate whether the performance of the bank APP can reach the required level, and this model was also regarded as a basis for decision-making to determine whether to improve the bank APP. At the same time, we can grasp the opportunities for improvement, achieve the effect of cost reduction, energy saving and carbon reduction, and further move towards the goal of innovative and intelligent management.

Suggested Citation

  • Tian Chen & Chun-Ming Yang & Kuen-Suan Chen & Ting-Hsin Hsu, 2021. "Fuzzy Evaluation Model of Bank APP Performance Based on Circular Economy Thinking," Mathematics, MDPI, vol. 9(21), pages 1-11, October.
    • Handle: RePEc:gam:jmathe:v:9:y:2021:i:21:p:2761-:d:668712
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    References listed on IDEAS

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    2. Zerbino, Pierluigi & Stefanini, Alessandro & Aloini, Davide & Dulmin, Riccardo & Mininno, Valeria, 2021. "Curling linearity into circularity: The benefits of formal scavenging in closed-loop settings," International Journal of Production Economics, Elsevier, vol. 240(C).
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    4. Atandile Ngubelanga & Rodney Duffett, 2021. "Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective," Sustainability, MDPI, vol. 13(11), pages 1-29, May.
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