Enterprise Resource Planning and Proactive Service Affecting Consumers’ Decision to Purchase Construction Steel for Housing in Nanchang, Jiangxi Province, China
Keywords:
Enterprise Resource Planning (ERP), Proactive Service, Purchase Decision, Residential Construction Steel, Consumers in Nanchang City Jiangxi Province ChinaAbstract
The objectives of this research were 1) to examine the levels of opinions regarding enterprise resource planning, proactive service, and consumers’ decision to purchase construction steel for housing in Nanchang, Jiangxi Province, China. and 2) to investigate the factors of enterprise resource planning and proactive service affecting consumers’ decision to purchase construction steel for housing in Nanchang, Jiangxi Province, China. The sample consisted of 385 consumers who had purchased construction steel for housing within one year prior to the data collection period in Nanchang, Jiangxi Province, China. This study employed a survey research design. The research instrument was a questionnaire. Descriptive statistics, including percentage, mean, and standard deviation, were used for data analysis, while inferential statistics were analyzed using multiple regression analysis with the Enter method. The research revealed that 1) the level of opinions regarding purchase decision was at the highest level, with a mean score of 4.26 and a standard deviation of 0.585. followed by enterprise resource planning at a high level, with a mean score of 4.20 and a standard deviation of 0.622. and proactive service at a high level, with a mean score of 4.17 and a standard deviation of 0.626, respectively. And 2) The results of multiple regression analysis using the Enter method indicated that enterprise resource planning significantly affected consumers’ decision to purchase construction steel for housing in Nanchang, Jiangxi Province, China at the .01 level of significance, and proactive service also significantly affected consumers’ decision to purchase construction steel for housing in Nanchang, Jiangxi Province, China at the .01 level of significance.
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