
01 Aug Transaction processing system
When the computer first entered the management of the city, it was first used as a computing tool. People use it to calculate the wages, accounting, statistics, etc., and partially replace the manual labor of people. The user of the computer takes a single user or batch process for a relatively long period of time [23]. With the development of electronic computer software and hardware systems, especially peripheral devices and communication technologies, the ability of computer information processing has improved, and the use of computers has gradually transitioned to the multi-user terminal mode of time-sharing systems. In the management information processing, in addition to the calculation work, the business of documents and file processing, and various report generations are gradually computerized [24]. This computer-aided management work is called electronic data processing. At this stage, since the relevant management business is carried out according to the project on the computer, different projects are carried out separately, and there is no connection between the different projects on the computer, so it is also called the single information processing stage [25]. The use of electronic data processing has improved the efficiency of managers in handling daily affairs, and has also improved the accuracy and timeliness of management.
The main goal of the transaction processing system is to improve the efficiency of managers in handling daily tasks and save manpower. However, this way of processing each management information item separately is far from meeting the needs of enterprise management decision-making [26].
- Zeng, H. Wang, D. Xu, H. Duan, Y. Han, Conflict detection and resolution for workflows constrained by resources and non-determined durations, J. Syst. Softw. 81 (9) (2008) 1491–1504.
- Zeng, Z. Zhao, Y. Liang, Course ontology-based user’s knowledge requirement acquisition from behaviors within e-learning systems, Comput. Educ. 53 (3) (2009) 809–818.
- Cui, Y. Wang, Four-mobile-beacon assisted localization in three- dimensional wireless sensor networks, Comput. Electr. Eng. 38 (3) (2012) 652–661.
- Zeng, H. Zhang, B. Song, W. Liu, Y. Li, A.M. Dobaie, Facial expression recognition via learning deep sparse autoencoders, Neurocomputing 273 (2018) 643–649.
No Comments