Mina Abdolalipoor; Parvaneh Gelard; Hossein Budaghi Khajeh Nobar; Reza Rostamzadeh
Abstract
Purpose: The purpose of this research was primarily to design the electronic customer relationship management model and explain its consequences.Method: Validation of electronic customer relationship in private banks based on mixed research and descriptive-exploratory method were used. On this basis, ...
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Purpose: The purpose of this research was primarily to design the electronic customer relationship management model and explain its consequences.Method: Validation of electronic customer relationship in private banks based on mixed research and descriptive-exploratory method were used. On this basis, with the help of data-based theorizing method, the categories forming the model were identified by open coding, and then with the benefit of central and selective coding, the desired model was presented. Also, in the following, the validation of the model among the studied population was discussed using the method of structural equation modeling. The statistical population for presenting the model includes banking industry experts (consisting of senior bank managers with at least 10 years of work experience and academic experts in the field of digital marketing with at least 5 years of experience working in the banking system) and for validating the model two categories of managers and employees of private banks. The research is limited to the city of Tehran and the local customers . The statistical sample of experts up to the stage of theoretical saturation is 16 people using a purposeful judgemental method, and for the model validation stage, 230 people were selected based on the rules of sample size in the structural equation method. The data collection tool included a semi-structured interview for the modeling stage and a questionnaire with a five-point Likert scale for the validation stage.Findings: The findings showed that 67 basic themes (selective concepts) were categorized and after reviewing, 20 organizing themes (dimensions) were obtained and finally these dimensions were divided into 7 general categories: organizational factors, individual factors, contextual factors, environmental factors, frameworks, strategies, consequences were categorized. The main category identified in this research is "Implementation of E-CRM" and other categories are presented under the headings of causal conditions, background factors, strategies, and consequences.Conclusion: The results of the calculated value (GOF) for the structural model of the research was calculated as 0.387, which indicates the overall strong performance of the structural equation model of the research. Also, the findings of the quantitative part have confirmed the validity of the structural model of the research and demonstrated the truth of hypotheses of the research (except for hypotheses No. 9, 11, 15, 16, and 17)
hamid Poorahmadi Hooshmand; Hossein Budaghi Khajeh Nobar; Parvaneh Gelard; Reza Rostamzadeh
Abstract
The purpose of this study is to evaluate online marketing tools and provide a model to improve sales performance. This qualitative research is applied in terms of purpose. Subjects in qualitative research are people living in the cities of Nowshahr, Chalous, and Tonekabon, whose sample size in the qualitative ...
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The purpose of this study is to evaluate online marketing tools and provide a model to improve sales performance. This qualitative research is applied in terms of purpose. Subjects in qualitative research are people living in the cities of Nowshahr, Chalous, and Tonekabon, whose sample size in the qualitative section includes knowledgeable interviewees in the field of online business. The data collection tool was purposeful and MAXQDA software was used for data analysis. In a small phase, the subjects were Caspian littoral consumers in the field of online business, about 400 of whom were selected to collect data from them. The AMOS and EXCEL have been used to test the hypotheses of structural model equations, and perform Dematel analysis. The results showed that the amount of for e-services and electronic security was negative, which indicates the influence (disability variable) of the above factors in the conceptual model of the research. Also, the rate for electronic advertising and electronic support is more than zero, which indicates the effectiveness (cause variable) of these factors. The calculated value shows that the order of importance of the five indicators in the present research model is: 1- Electronic services 2- Electronic support 3- Electronic customer orientation 4- Electronic advertising 5- Electronic security. The results show that five indicators (e-services, e-security, e-support, e-advertising, and e-customer orientation) are components and tools of online marketing to improve sales performance.The results showed that the amount of E_j for e-services and electronic security was negative, which indicates the influence (disability variable) of the above factors in the conceptual model of the research. Also, the E_j rate for electronic advertising and electronic support is more than zero, which indicates the effectiveness (cause variable) of these factors.The calculated P_i value shows that the order of importance of the five indicators in the present research model is: 1- Electronic services 2- Electronic support 3- Electronic customer orientation 4- Electronic advertising 5- Electronic security.The results show that five indicators (e-services, e-security, e-support, e-advertising, and e-customer orientation) are components and tools of online marketing to improve sales performance.
