جستجوی مقالات مرتبط با کلیدواژه "فرآیندهای کسب و کار" در نشریات گروه "کتابداری و مدیریت اطلاعات"

Measuring operational alignment maturity, or in other words, business processes- information systems alignment maturity, has been important as a way to evaluate the success of operational alignment implementation. However, studies on alignment have been mainly focused on measuring strategic alignment maturity. Therefore, given the differences between strategic alignment and operational alignment, the results of these studies have not been very effective in measuring operational alignment maturity. That is why the present study aimed to provide a framework for measuring operational alignment maturity. To that end, ten dimensions of operational alignment were determined and then, confirmed by confirmatory factor analysis. Next, neural networks was used to assess the importance of each of these dimensions. Then, based on the position of each of these dimensions in the importance-performance analysis matrix and after examining the gap between the current and desired status of each dimension using the pairwise mean comparison test, the level of operational alignment maturity for each dimension was determined. As the results indicated, alignment of non-core business processes with management information systems (D7) at optimized level, alignment of core business processes with management information system (D4) at improved and managed levels, as well as alignment of management processes with knowledge-based information systems (D2), alignment of core business processes with strategic information systems (D3) and alignment of non-core business processes with knowledge-based information systems (D8), all three at establised and focused levels, were identified. Moreover, the alignment of management processes with strategic information systems (D1), the alignment of core business processes with knowledge-based information systems (D5), the alignment of core business processes with operational information systems (D6), all three at commited level, as well as alignment of support processes with operational information systems (D9) and alignment of support processes with knowledge-based information systems (D10), both at initial and ad hoc levels, were determined.

Knowledge problems in business processes refer to those problems result from the lack of proper implementation of knowledge management processes, such as creation, deployment, sharing and storage. The existence of knowledge problems during process execution will lead to a deviation in the process path. Identifying and detecting these deviations requires a precise tool that can detect the actual process from event logs. process mining is a new smart approach that examines business processes from different aspects, using data mining techniques, social network analysis, and some of its own techniques. In this study, by selecting a contact center of Water and Wastewater Organization have compared the design process and the extracted process resulting from the discovery phase of the process mining, which has led to the identification of the deviations in the process pathway and the bottlenecks in the process. For this purpose, the three months data were gathered and after the preprocessing, each of the three views of the process, organization and case was implemented on the data. The results of the research indicate that there is a lack of conformity of the process in some cases with the main process and the presence of key people in the center.