Affiliation:
1. Xi'an Jiaotong-Liverpool University, China
Abstract
Many banks today are faced with the challenges how to appropriately store, process, use, and transfer data with the close integration of enterprise-level strategies and management. A key definition as lean theory is introduced to explain how it can lead and guide the companies to effectively conduct their digital knowledge transfer from multiple dimensions. This chapter first presents the overall background with the emphasis on different phases of data usage. Second, the main challenges on digital knowledge transfer for organizations are specified, which demonstrates the importance of using lean theory to manage data. Third, the key disciplines on lean theory and how they can be alleviated to transfer data are introduced. Finally, in order to present clear understandings, Bank F is used as a case to demonstrate how it has used lean theory to conduct effective and comprehensive digital knowledge transfer.
Reference34 articles.
1. Development of IoT—enabled data analytics enhance decision support system for lean manufacturing process improvement
2. AWS. (2023a). What is a data lake? AWS. https://aws.amazon.com/big-data/datalakes-and-analytics/what-is-a-data-lake/
3. AWS. (2023b). What is an API (Application Programming Interface)? AWS. https://aws.amazon.com/what-is/api/#:~:text=API%20stands%20for%20Application%20Programming,other%20using%20requests%20and%20responses
4. A Composite Benchmark for Online Transaction Processing and Operational Reporting
5. Knowledge transfer in a digital world: Field data acquisition, uncertainty, visualization, and data management