Volume 21, Issue 62 (9-2021)
jgs 2021, 21(62): 339-355 |
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Mohammadlou S, Mozaffari M M, Haji Karimi B, kavosh K. Analyzing the impact of business preference components on achieving e-city. jgs 2021; 21 (62) : 17
URL: http://jgs.khu.ac.ir/article-1-3852-en.html
URL: http://jgs.khu.ac.ir/article-1-3852-en.html
1- phd student , Department of Business Management, Marketing Management, Abhar Branch, Islamic Azad University, Abhar, Iran
2- Associate Professor, Department of Industrial Management, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran ,Mozaffarri@soc.ikiu.ac.ir
3- Assistant Professor Department of Business Management, Marketing Management, Abhar Branch, Islamic Azad University, Abhar, Iran
2- Associate Professor, Department of Industrial Management, Faculty of Social Sciences, Imam Khomeini International University, Qazvin, Iran ,
3- Assistant Professor Department of Business Management, Marketing Management, Abhar Branch, Islamic Azad University, Abhar, Iran
Abstract: (4048 Views)
One of the concepts that is widely considered in all societies today, especially in developed countries, is the electronic city. The e-city is not an invention or an innovative proposal, but a reality that has shown its place based on the needs of today's society. The aim of this study was to analyze the effect of components of business preferences in achieving e-city. This research is applied in terms of purpose and descriptive-analytical method. Data collection tool was a researcher-made questionnaire whose validity was confirmed as qualitative and quantitative validity and its reliability was confirmed using Cronbach's alpha method and combined reliability. In this study, in order to analyze the research data from the software SPSS and Amose were used. Findings of this study showed that the variables of customer knowledge, customer focus, customer lifetime value, value creation, technology, useful interaction and communication quality have a positive and significant effect on the realization of e-city. Among the research variables, the customer-centric variable with a path coefficient of 0.38 had the most impact and the customer knowledge variable with a path coefficient of 0.19 had the least impact.
Article number: 17
Type of Study: Applicable |
Subject:
Geography and Urban Planning
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