scholarly journals Cloud ERP Systems: Anatomy of Adoption Factors & Attitudes

Author(s):  
Moutaz Haddara ◽  
◽  
Asle Fagerstrøm ◽  
Bjørnar Mæland ◽  
◽  
...  
Keyword(s):  
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


2021 ◽  
Vol 1839 (1) ◽  
pp. 012004
Author(s):  
W Sardjono ◽  
G Rama Putra ◽  
E Selviyanti ◽  
A Cholidin ◽  
G Salim

2021 ◽  
Vol 11 (12) ◽  
pp. 5476
Author(s):  
Ana Pajić Simović ◽  
Slađan Babarogić ◽  
Ognjen Pantelić ◽  
Stefan Krstović

Enterprise resource planning (ERP) systems are often seen as viable sources of data for process mining analysis. To perform most of the existing process mining techniques, it is necessary to obtain a valid event log that is fully compliant with the eXtensible Event Stream (XES) standard. In ERP systems, such event logs are not available as the concept of business activity is missing. Extracting event data from an ERP database is not a trivial task and requires in-depth knowledge of the business processes and underlying data structure. Therefore, domain experts require proper techniques and tools for extracting event data from ERP databases. In this paper, we present the full specification of a domain-specific modeling language for facilitating the extraction of appropriate event data from transactional databases by domain experts. The modeling language has been developed to support complex ambiguous cases when using ERP systems. We demonstrate its applicability using a case study with real data and show that the language includes constructs that enable a domain expert to easily model data of interest in the log extraction step. The language provides sufficient information to extract and transform data from transactional ERP databases to the XES format.


2006 ◽  
Vol 23 (2) ◽  
pp. 191-200 ◽  
Author(s):  
Zongbin Li ◽  
Sohail S. Chaudhry ◽  
Shanshan Zhao

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