An Exploratory Case Study of Enterprise Resource Planning Implementation

2005 ◽  
Vol 1 (1) ◽  
pp. 23-38 ◽  
Author(s):  
Girish H. Subramanian ◽  
Christopher S. Hoffer
Keyword(s):  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Exploratory Case Study ◽  
Planning Implementation

Investigating a Process Approach on Business Cases

2013 ◽  
Vol 4 (2) ◽  
pp. 37-53 ◽  
Author(s):  
Kim Maes ◽  
Steven De Haes ◽  
Wim Van Grembergen
Keyword(s):  
Enterprise Resource Planning ◽  
Business Models ◽  
Resource Planning ◽  
Business Case ◽  
Successful Outcome ◽  
Exploratory Case Study ◽  
New Business ◽  
Business Cases ◽  
Investment Justification

Strategic information technology (IT) enabled investments are among other types of IT investments, characterised by the highest level of uncertainty and the highest potential for value creation. They are often associated with product/service innovation, new business models or an enterprise-wide transformation (e.g. Enterprise Resource Planning (ERP) investment). Although these may deliver operational excellence and a competitive advantage, it is a risky endeavour with high failure rates. One of the critical factors to achieve a successful outcome is to develop a sound business case. Many organisations perceive a business case as a valuable instrument for investment justification and decision-making, yet other organisations still do not develop a business case due to insufficient knowledge. In response to this knowledge gap, Ward, Daniel, and Peppard (2008) designed a business case development process that ends on investment approval. Others scholars however call for a continuous usage of business cases throughout the entire investment life cycle. The present research responds to this call with an exploratory case study in order to identify multiple business case tasks that complement the process of Ward et al. (2008). The paper starts with a description of background literature on what constitutes a business case whereof the authors derive a new definition. The authors then set the context and structure for an initial business case process based on the contribution by (Ward et al., 2008). The findings of the exploratory case study and the initial business case process are discussed.

Improvements in Web Based ERP Software Architecture as Implemented on the Cloud

2017 ◽  
Vol 7 (11) ◽  
pp. 22
Author(s):  
Shruti Makarand Kanade
Keyword(s):  
Health Care ◽  
Information Technology ◽  
Cloud Computing ◽  
Software Architecture ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Web Based ◽  
Manufacturing Company ◽  
Erp Software

 Cloud computing is the buzz word in today’s Information Technology. It can be used in various fields like banking, health care and education. Some of its major advantages that is pay-per-use and scaling, can be profitably implemented in development of Enterprise Resource Planning or ERP. There are various challenges in implementing an ERP on the cloud. In this paper, we discuss some of them like ERP software architecture by considering a case study of a manufacturing company.

scholarly journals Blockchain, Enterprise Resource Planning (ERP) and Accounting Information Systems (AIS): Research on e-Procurement and System Integration

2021 ◽  
Vol 11 (15) ◽  
pp. 6792
Author(s):  
Alessio Faccia ◽  
Pythagoras Petratos
Keyword(s):  
Information Systems ◽  
Enterprise Resource Planning ◽  
System Integration ◽  
Case Study Research ◽  
Accounting Information ◽  
Resource Planning ◽  
Security And Privacy ◽  
Accounting Information Systems ◽  
Erp System

Accounting information systems (AISs), the core module of any enterprise resource planning (ERP) system, are usually designed as centralised systems. Nowadays, the continuous development and applications of blockchain, or more broadly—distributed ledger technology (DLT), can change the architecture, overcome and improve some limitations of centralised systems, most notably security and privacy. An increasing number of authors are suggesting the application of blockchain technologies in management, accounting and ERPs. This paper aims to examine the emerging literature on this field, and an immediate result is that blockchain applications can have significant benefits. The paper’s innovative contribution and considerable objective are to examine if blockchain can be successfully integrated with AIS and ERPs. We find that blockchain can facilitate integration at multiple levels and better serve various purposes as auditing compliance. To demonstrate that, we analyse e-procurement systems and operations using case study research methodology. The findings suggest that DLT, decentralised finance (DeFI), and financial technology (FinTech) applications can facilitate integrating AISs and ERP systems and yield significant benefits for efficiency, productivity and security.

A Hybrid MCDM Approach for Solving the ERP System Selection Problem with Application to Steel Industry

2012 ◽  
Vol 8 (3) ◽  
pp. 54-73 ◽  
Author(s):  
Ahmad Jafarnejad ◽  
Manoucher Ansari ◽  
Hossein Rahmany Youshanlouei ◽  
Mohammad Mood
Keyword(s):  
Enterprise Resource Planning ◽  
Fuzzy Ahp ◽  
Multiple Criteria Decision Making ◽  
Resource Planning ◽  
Erp System ◽  
Or Organization ◽  
Entropy Technique ◽  
System Selection ◽  
Selection Of

Selecting a proper system of Enterprise Resource Planning (ERP) is a major challenge for enterprise managers. Heavy expenses of incorrect decisions in selection of ERP systems have made academics and managers consider this phase as highly important. Several research studies proposed different approaches to selecting the ERP and many case studies of organizational experiences have been published. However, there has been less regard for simultaneous use of the findings of academic studies and judgments of industrial experts or organization mangers for making the most appropriate choice. This study proposes a combined multiple-criteria decision-making (MCDM) approach through which both previous studies and judgments of industrial experts or organization managers would be integrated in order to select the proper ERP system. Having studied the literature comprehensively and conducted interviews with experts and managers, this approach will determine the most important criteria in ERP selection using Shannon entropy technique. Then, based on the judgments obtained from experts and using DEMATEL technique, these criteria will be classified into the two groups of “Cause” and “Effect” and the most appropriate choice will be selected using Fuzzy AHP technique. Finally, a case study is conducted to demonstrate and prove the applicability of the proposed approach.

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