مطالب

Due to the dispersion of these functions in the literature and their anonymity, the purpose of this study is to identify the functions of virtual reality immersion feature in B2B business customer journey and provide a framework. The concept of these functions involves the three stages: before the purchase, purchase and after the purchase of this journey.This study has been done by adopting a qualitative approach and thematic review method. The required data was collected through literature review. First, research articles on B2B marketing and virtual reality were searched in Google Scholar and Scoops databases, and during the steps and filters, a total of 274 articles were extracted from these two databases. Duplicate article, 257 articles were obtained. In the next step, by applying the exclusion criteria, 224 articles were deleted and finally 33 articles were finally reviewed. After performing the thematic analysis steps, 67 codes were extracted, which were presented in the form of four themes or main functions and nine themes or sub-functions. The findings of this study contribute to a more comprehensive understanding of managers and marketing and sales experts of the functions of the VR immersion feature at each stage of the B2B customer journey. Managers and owners of B2B businesses can use these functions in customer journey based on their marketing and sales goals and enjoy its benefits. It also helps researchers identify and improve the scientific and managerial understanding of the functions of the VR immersion feature and how it creates value in B2B client journey. According to the results of this research to future researchers, reviewing the literature with more sources and a wider period, developing a research model using other theories; And model testing with initial data is recommended.

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)