Islamic Azad University South Tehran Branch

About: Islamic Azad University South Tehran Branch is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Fuzzy logic & Supply chain. The organization has 1230 authors who have published 1592 publications receiving 22684 citations.

Information systems success: the quest for the dependent variable

Abstract: Article history: Received July 18, 2014 Accepted December 1 2014 Available online December 11 2014 This paper presents an empirical investigation to identify and rank the factors of information market development systems influencing on the market share development. The population of this survey includes all managers who work for SMEs in city of Tehran, Iran. The study selects a sample of 230 people randomly and a questionnaire is distributed among them in Likert scale. Cronbach alpha has been calculated as 0.814, which is well above the minimum desirable level. Using structural equation modeling the study has determined seven factors including valid data, information, strategic information, organizational information, supportive information, customer information, development information and data analysis, which influence market share development. Growing Science Ltd. All rights reserved. 5 © 201

The customer relationship management process: its measurement and impact on performance

Abstract: Customer relationship management (CRM) systems track and measure marketing campaigns over different networks. There are literally many studies associated with the implementation of CRM in different industries. This paper presents an empirical investigation to determine effective factors influencing on the success of CRM implementation. The study designs a questionnaire in Likert scale on measuring various factors and distributes it among selected employees who work for the biggest software maker firm in city of Tehran, Iran. Using principal component analysis, the study has detected five factors influencing on the succes of CRM including customer relationship technologies, customer oriented, enterprise development strategies, customer services and business plan.

How to control confounding effects by statistical analysis

Abstract: A Confounder is a variable whose presence affects the variables being studied so that the results do not reflect the actual relationship. There are various ways to exclude or control confounding variables including Randomization, Restriction and Matching. But all these methods are applicable at the time of study design. When experimental designs are premature, impractical, or impossible, researchers must rely on statistical methods to adjust for potentially confounding effects. These Statistical models (especially regression models) are flexible to eliminate the effects of confounders.