With the rapid development of Information Technology (IT), the ever changing business environment has made the ERP system gradually become an essential instrument for the survival of the enterprises in this world of fierce competition. In the traditional business operation model, departments of an enterprise used to draw up management mechanisms and develop different systems respectively. The ERP system, however, integrates all the departments such as accounting, stock, and marketing, and thus improves the operation efficiency and ensures better quality of the products.
But how to measure the achievements brought by the introduction of ERP? Traditional measurement is based on only one operating result, that is, net profit. However, this measurement has now been proved inaccurate as the operation state of an enterprise could not be judged only by its net profit, which probably reflects only the superficial and temporary situation of the enterprise. In order to measure the effects of the application of ERP system on a deeper level in long term, we have to take into account other aspects, such as relationship between enterprise and its customers, degree of staff satisfaction to the information system, and informationization capability of the enterprise. Therefore, the judgment standard, BSC, is put into practice.
In stead of judging by one single aspect, BSC evaluates the operating results in mainly four aspects---customers, finance, staff training, and staff development. Hence, BSC is appropriately applied in measuring the effects of EPR system on operating results. Based on BSC, this study compares enterprises in China and South Korea through an investigation on the degree of satisfaction after the introduction of EPR system in small-and-mediate-sized enterprises in these two countries.
This paper is comprised of two parts---literature review and empirical study. The form is conducted by reviewing the previous researches and studies, and the latter is done by on-line questionnaires. With the adoption of SPSS 13.0, frequency analysis, reliability analysis, t-test and ANCOBA analysis are done to the data collected.