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.
Highlights
Many studies have pointed out that in the face of increasingly serious global warming issues, circular economy (CE) thinking is attracting more and more attention from companies and governments [1,2,3,4,5]
This paper will take a bank APP as an example to further illustrate the application of smart APPs
This paper will establish an APP performance evaluation model so as to improve the service performance of the APP, and at the same time to raise customers’ satisfaction with the use of the APP as well as increase the number of APP users
Summary
Many studies have pointed out that in the face of increasingly serious global warming issues, circular economy (CE) thinking is attracting more and more attention from companies and governments [1,2,3,4,5]. This paper will establish an APP performance evaluation model so as to improve the service performance of the APP, and at the same time to raise customers’ satisfaction with the use of the APP as well as increase the number of APP users. The shorter the time interval is, the higher the number of users within the time unit is As mentioned above, this approach can reach effects, including convenience, cost reduction, energy saving and carbon reduction. The purpose of this research is to propose a fuzzy evaluation model that can take into account both timeliness and accuracy It can evaluate the performance of the bank APP and grasp the opportunities for improvement at the same time, in order to achieve the effect of cost reduction, energy saving and carbon reduction and move towards the goal of innovative and intelligent management.
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