scholarly journals The Current State of ERP Systems in Banking Sector

Author(s):  
Konstantinos Metaxiotis ◽  
Konstantinos Liagkouras

Abstract—Enterprise resource planning (ERP) systems integrate the organizations business functions allowing efficient information sharing across all business divisions. Through the information sharing is achieved not only better coordination but also faster and more efficient adjustment to the potential risks and business opportunities alike. This paper examines the particularities of ERP systems implementation and operation for the banking sector by considering a wide range of sources such as journal and conference papers, empirical studies and reports. Finally, through the thorough examination of the available literature, we draw conclusions about the effect by the implementation of ERP systems in the banking sector.

2012 ◽  
Vol 163 (2) ◽  
pp. 57-65 ◽  
Author(s):  
Clemens Blattert ◽  
Renato Lemm ◽  
Ina Ehrhardt ◽  
Ute Seeling

Improving the interoperability of forest enterprise resource planning systems with standards To ensure forestry, the timber industry and their products are competitive, flexible and time-optimized logistics processes are necessary. These, in turn, require a fast, safe and efficient flow of information, for which IT-based enterprise resource planning systems (ERP) provide an essential basis. ERP systems are increasingly being used in the forestry-wood-products chain. ERP systems that can work together beyond their original application range are needed for an efficient information flow. Because of the heterogeneity of these systems, simple and clear standards must be defined at the interfaces. That means the computers have to use the same language not only technically but also from the point of view of the content to be communicated. The following article analyzes the strengths and weaknesses of the four standardization efforts Eldat, FHPDAT, Papinet and Cosemat and derives some initial recommendations for further developments.


2017 ◽  
Vol 2 (2) ◽  
pp. 147-154
Author(s):  
Julian Aristo

Enterprise Resource Planning (ERP) systems have become vital strategic tools in today’s competitive business environment. Implementation of ERP systems is a highly complex process which is influenced not only by technical, but also by other factors. The purpose of this research to find out factors influencing the success of ERP implementations in companies in Jabodetabek. In this research three factors of success implementation ERP were selected on the bases of previous research that includes top management support, project management and user involvement. The results indicate that top management support and project management are key factors affecting the success of ERP implementations, while user involvement does not affect the success of ERP implementations. Top management support, project management and user involvement affect the success rate of 72.7% of ERP implementations. While the rest equal to 27.3% influenced by other variables not included in this research model. Keywords: Enterprise Resource Planning, Top management support, project management, user involvement


2014 ◽  
Vol 933 ◽  
pp. 860-868
Author(s):  
Muneam Zamzeer Al-Magsoosi

Successful implementation of ERP systems should take full advantage of the access to information, but not be constrained by many of the deficiencies associated with infinite capacity scheduling methodologies. In this paper an algorithm is developed which improves the performance of the ERP system. Lot sizing decisions based on capacity availability are used as an instrument to integrate more effectively capacity requirements planning (CRP) and Material Requirements Planning (MRP). MRP is a planning tool for a sub-set of manufacturing system specially in hierarchal multi-product, multi-period and multi-stage production planning and inventory control system. The Vehicle used for this integration is planned order release (POR) quantity. The algorithm requires minimal deviation from the MRP logic. In this sequential process MRP first issues the action notices and then the algorithm analyses the capacity situation in the work centers. The algorithm scans all planned order release quantities of lower level items in the action bucket before orders are released to the shop. For each item a delta value is computed identifying the degree orders are contributing to capacity problems. This delta is specific to each POR. The POR causing the highest overload and the one passing through the lowest utilized work centers are selected for a lot size decrease, respectively, an increase. After identifying the candidates, a series of checks analyses the suitability of the candidates for that change. The planned order release quantities of more items can be performed. Projected capacity profile after iteration will be updated and capacity requirements over a short duration are smoothed. The experiments are performed with MAP/3000 as a simulation model for this study. The developed algorithm is added to MAP/3000 as additional subroutines. The design of the experiments consists of a base test identifying the significance of different environmental parameters of MRP systems and a main test which performs a detailed evaluation. The results are evaluated using analysis of variance techniques. Most ERP systems built on the historical development of MRP and CRP systems, and the assumption of infinite capacity is affecting the performance of those systems badly. This paper is presenting an algorithm to smooth capacity problems by using the existed capacity.


2004 ◽  
Vol 31 (2) ◽  
pp. 263-271 ◽  
Author(s):  
Sangyoub Lee ◽  
Ahsan Ullah Arif ◽  
Hyounseung Jang

The enterprise resource planning (ERP) system can integrate the major business management functions of the enterprise with a single common database to allow sharing of all information and achieve efficient communications between management functions. Based on the needs of running a construction enterprise, ERP shows potential applicability to the construction industry. This paper sought to quantify the benefits of ERP systems when applied to construction materials procurement. Specifically, this paper briefly described the business processes involved in construction materials procurement and illustrated how ERP systems could be implemented and the efficiency of the construction materials management system consequently enhanced. The transformation from a non-ERP system into an ERP system through application integration, internal integration, external integration, and automation were simulated. Results show that the individual task improvements of models can increase the productivity of the materials management cycle by up to 5.2%, 18.2%, 27.8%, 13.5%, and 79.2% through internal integration, external integration, application integration, automation, and ERP system, respectively, by automating most of the repeated transactions and reducing manpower required to perform the tasks.Key words: enterprise resource planning, materials management system, productivity, simulation.


2018 ◽  
Vol 24 (4) ◽  
pp. 900-922 ◽  
Author(s):  
Malte Thiede ◽  
Daniel Fuerstenau ◽  
Ana Paula Bezerra Barquet

Purpose The purpose of this paper is to review empirical studies on process mining in order to understand its use by organizations. The paper further aims to outline future research opportunities. Design/methodology/approach The authors propose a classification model that combines core conceptual elements of process mining with prior models from technology classification from the enterprise resource planning and business intelligence field. The model incorporates an organizational usage, a system-orientation and service nature, adding a focus on physical services. The application is based on a systematic literature review of 144 research papers. Findings The results show that, thus far, the literature has been chiefly concerned with realization of single business process management systems in single organizations. The authors conclude that cross-system or cross-organizational process mining is underrepresented in the ISR, as is the analysis of physical services. Practical implications Process mining researchers have paid little attention to utilizing complex use cases and mining mixed physical-digital services. Practitioners should work closely with academics to overcome these knowledge gaps. Only then will process mining be on the cusp of becoming a technology that allows new insights into customer processes by supplying business operations with valuable and detailed information. Originality/value Despite the scientific interest in process mining, particularly scant attention has been given by researchers to investigating its use in relatively complex scenarios, e.g., cross-system and cross-organizational process mining. Furthermore, coverage on the use of process mining from a service perspective is limited, which fails to reflect the marketing and business context of most contemporary organizations, wherein the importance of such scenarios is widely acknowledged. The small number of studies encountered may be due to a lack of knowledge about the potential of such scenarios as well as successful examples, a situation the authors seek to remedy with this study.


2004 ◽  
Vol 1 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Daniel E. O'Leary

This paper uses a database, derived from a data repository, in order to do an analysis of enterprise resource planning (ERP) system benefits. ERP benefits are important for a number of reasons, including establishing a match between what ERP systems benefits are—as compared to ERP expectations—setting a benchmark for other firms, and measuring those benefits. ERP benefits also are central to the business case for deciding whether a firm will invest in an ERP system. It is found that some benefits vary across industry, while others seem to be important to firms independent of industry. In particular, tangible benefits are largely industry-independent, while intangible benefits vary across industry. In addition, when compared to an earlier study by Deloitte Consulting, the results are statistically consistent with their findings, but find substantial additional intangible benefits.


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