Big data constitutes a holistic management approach to CRM which affects the creation, definition and management of the Critical Success Factors (CSF) of an enterprise. The results suggest that the successful implementation of sustainable supply chain management will help in improving customer relationship management, competitive advantage, and organizational performance. Data were collected through an online survey from 147 supply chain managers in the Egyptian textile industry to test the research hypotheses.
Additionally, statistical analysis supports the positive relationship between customer relationship management and competitive advantage from one side and organizational performance from the other side. Statistical analysis of the collected data supports the positive relationship between sustainable supply chain management on one side and customer relationship management, competitive advantage, and organizational performance on the other. The proposed research model and hypotheses were tested using correlation analysis and structural equation modeling based on data collected from 148 companies working in the Egyptian textile industry. A suggested research model shows the hypothesized relationship between sustainable supply chain management, customer relationship management, competitive advantage, and organizational performance. This study aims to test the effect of sustainable supply chain management on customer relationship management, competitive advantage, and organizational performance by collecting and analyzing data from the Egyptian textile industry. It is valuable to give an overview of what big data has brought to consumer behavior study, how consumption ability has increased in the context of big data, so as to stimulate the growth of consumer behavior study. Consumer behavior models in the current society are more associated with big data analysis and consumption ability of residents. Additionally, it successfully adapts to the transformation of the era of information. According to the analysis, the application of big data analysis on consumer behavior shows its superiority in efficiency, sample size and supportive database. The advantages and disadvantages of them are discussed and relevant suggestions for big data analysis are raised. This paper summarizes the development of consumer behavior models and compares consumer behavior models based on big data analysis with traditional consumer behavior prediction models.
It also affects consumer behavior analysis, which varies from conventional consumer behavior models. Big data analysis is a reflection of the transformation of ways to receive information via the Internet.
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