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Journal : Quantitative Economics and Management Studies

Designing A Model to Investigate The Role of The Factors Formulation Public Policies In The Implementation of The Administrative System Health Policy Niknamian, Sorush
Quantitative Economics and Management Studies Vol. 1 No. 1 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (586.893 KB) | DOI: 10.35877/454RI.qems98

Abstract

The purpose of this study is to design a model to investigate the role of the Individuals making public policies in the implementation of the administrative system health policy. Two questionnaire has been used in the current study: One whose main aim was to investigate the actors making public policy with 51 questions and Cronbach Alpha 0.93, and the other one in the administrative system health policy with 74 questions and Cronbach Alpha 0.95. To be assured with regard to the validity of the questionnaires content and construct validities were estimated. The statistical population of the current study were 86643 employers of the executive organizations of the Khuzestan province, Iran. The final sample of the study was 382 individuals based on Cochran. Data analysis was done by using SPSS 22 and Amos 22. The results of the current study revealed that the factors making the public policy included 13 factors in which the most average was for mass media (7.64) and the least was the powerful elites with the mean of (5.64). The health administrative policies included 14 policies, all of them were at significant point except the policies of eleventh to thirteenth of the fifth book “Islamic Panel Code”, the law of banning more than on job, and the principles of prevention and fighting against bribe. The results also showed that there was a statistically significant relationship between the factors making public policy and those of administrative health policy.
The Use of Customer value changing trends in business analysis Niknamian, Sorush
Quantitative Economics and Management Studies Vol. 1 No. 2 (2020)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.716 KB) | DOI: 10.35877/454RI.qems99

Abstract

With the development of competition in business and also today’s rapid changes in competitive market, understanding these changes are the key factor of being more efficient in markets. CRM which is known as basic structure for describing customer’s needs for efficiently understand customer’s behavior and finely get the maximum of market share and profit. There are major differences between B2B and B2C businesses such as long term purchase cycle, purchase interests and the amount of the transactions. These differences needs more interactive strategies. The knowledge that gets from CRM is extremely related to market changes. In recent years data mining increasingly help organizations to get and understand customer’s behavior. But with the rapid changes in market these procedures must be change too. Change mining as the higher order of data mining tries to get knowledge by analysis patterns instead of data. In this paper we attempt to calculate customer’s value by using RFM model and K-MEANS clustering method and then analysis changes in deferent time periods. We tries to find out cluster transitions and most frequent customer value changing trend for proactive decision making. For this purpose we use customer purchase transactions in insurance industry which are gathered in 3 years.