Abstract
In recent years, organizations are extracting knowledge from the huge volume of data to predict future trends. Specific applications have been developed for big data predictive analytics to utilize the current data in different industries. The efficiency of big data can be enhanced through the use of radio frequency identification (RFID) technique in supply chain management (SCM). The objective of this study is to establish and empirically investigate the relationship among big data predictive analytics (BDPA) acceptance, RFID acceptance, and supply chain performance (SCP). The population of this study is logistics industry in China. Results showed the positive direct effect between BDPA acceptance and SCP, and RFID acceptance has partially mediated. The implementation of this study will enhance supply chain performance in the logistics industry. This study also fills the literature gap because previous studies have not established the relationship between big data analytics acceptance and RFID acceptance in SCM.
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Shafique, M.N., Rahman, H., Ahmad, H. (2019). The Role of Big Data Predictive Analytics Acceptance and Radio Frequency Identification Acceptance in Supply Chain Performance. In: Bhattacharyya, S., Hassanien, A., Gupta, D., Khanna, A., Pan, I. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 56. Springer, Singapore. https://doi.org/10.1007/978-981-13-2354-6_8
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DOI: https://doi.org/10.1007/978-981-13-2354-6_8
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