This study were derived from previous studies’ factors on service quality of commercial information systems that help commercial strategy and decision-making through commercial information of store for the successful management and entrepreneurship ...
This study were derived from previous studies’ factors on service quality of commercial information systems that help commercial strategy and decision-making through commercial information of store for the successful management and entrepreneurship of the preliminary-founder.
In order to reduce failure due to excessive start-up and to induce competitive business of independent concessionaires through the empirical verification, requests regarding service quality of commercial information systems were collected from the students who received specialized training commercial analysis, pre-founder and original founders who use a real commercial information system whether service quality of any commercial information systems should be improved first.
A total of 321 questionnaires have been utilized in the analysis. By applying the results on the basis of the Kano Model, quality types of service elements were distinguished and investigated PCSI Index to know what should be improved first.
From the result of classifying the service quality factors of commercial information system according to Kano model, unitary quality elements were seven elements. Attractive quality elements were three, and indifferent quality elements were also three. Lastly, proper quality factors were one.
Next, in order to determine the degree of satisfaction of the nature of the factor in the characteristics classified, a coefficient for customer satisfaction was investigated. As a result, the topics which had the highest Better index were a ease of using commercial information systems, interest in user feedback, the processing speed of servers, download speed, ease of search. The purpose of using commercial analysis systems, accuracy, the answer rate of support agencies and, providing proper information for requests had the highest Worst index.
In order to determine current customer satisfaction levels, PCSI index was deducted.
By Looking into quality factors which had the highest index for improving customer satisfaction, interest rates for users’ opinions of the supporting organizations, the reliability of commercial information systems, download speed, processing speed, and ease of use take up from top 1 to top five.
The following theoretical and practical implications were derived based on the findings.
First, by considering the objective perspective of physical satisfaction and dissatisfaction and the subjective perspective of being satisfied or dissatisfied based on Kano’s theory, it has a meaning in the point of view of trying empirical research based on model with dualism.
Second, this study has derived the Kano model and it suggested PCSI index which can analyze the degree of improvement through identifying present customer satisfaction. This aspect has the meaning for the point that it derived the items needed to be improved primarily.
Therefore, the results of this study will be used as an important material in the subsequent studies since it will be harnessed as a determination criterion concerning the importance of the quality of service.
Third, this study can be utilized for future management and operation plans since it helps us to know which service factors should be improved first and how can the customer satisfaction can be increased by analyzing commercial information system through analyzing the quality characteristics of Kano model theories.
Fourth, this study is considered to be used as a useful list of measurement from the perspective of the entrepreneurship consumer.
However, this study also has following limitations:
First, it has constant limitations for generalizing theses findings because of few users who use commercial analysis systems.
The subjects of this study are hard to be considered as the representatives who represent the thoughts and attitudes of the preliminary founders or founders.
Second, the questions of the questionnaire of surveys gave respondents confusion in understanding. The double translation process might degrade the accuracy of the results.
Third, even though we changed the questions in the questionnaire on the basis of previous studies, we were not able to show a difference between the present survey questionnaire and that of previous studies clearly.
The future research will be considered to require an approach in the active perspective to construct a more advanced and new commercial analysis information system.
Research model that can be the standard for the quality of the commercial analysis information system is needed, not the standard of a typical information system. Based on this, it is necessary to conduct research subsequently.