Conceptual Model for Software as a Service (SaaS) Enterprise Resource Planning (ERP) Systems Adoption in Small and Medium Sized Enterprises (SMEs) Using the Technology-Organization-Environment (T-O-E) Framework

Author(s):  
Jose Valdebenito ◽  
Aldo Quelopana
Author(s):  
Payam Hanafizadeh ◽  
Roya Gholami ◽  
Shabnam Dadbin ◽  
Nicholas Standage

The Implementation of Enterprise Resource Planning (ERP) systems require huge investments while ineffective implementations of such projects are commonly observed. A considerable number of these projects have been reported to fail or take longer than it was initially planned, while previous studies show that the aim of rapid implementation of such projects has not been successful and the failure of the fundamental goals in these projects have imposed huge amounts of costs on investors. Some of the major consequences are the reduction in demand for such products and the introduction of further skepticism to the managers and investors of ERP systems. In this regard, it is important to understand the factors determining success or failure of ERP implementation. The aim of this paper is to study the critical success factors (CSFs) in implementing ERP systems and to develop a conceptual model which can serve as a basis for ERP project managers. These critical success factors that are called “core critical success factors” are extracted from 62 published papers using the content analysis and the entropy method. The proposed conceptual model has been verified in the context of five multinational companies.


2010 ◽  
Vol 6 (2) ◽  
pp. 82-111 ◽  
Author(s):  
Payam Hanafizadeh ◽  
Roya Gholami ◽  
Shabnam Dadbin ◽  
Nicholas Standage

The Implementation of Enterprise Resource Planning (ERP) systems require huge investments while ineffective implementations of such projects are commonly observed. A considerable number of these projects have been reported to fail or take longer than it was initially planned, while previous studies show that the aim of rapid implementation of such projects has not been successful and the failure of the fundamental goals in these projects have imposed huge amounts of costs on investors. Some of the major consequences are the reduction in demand for such products and the introduction of further skepticism to the managers and investors of ERP systems. In this regard, it is important to understand the factors determining success or failure of ERP implementation. The aim of this paper is to study the critical success factors (CSFs) in implementing ERP systems and to develop a conceptual model which can serve as a basis for ERP project managers. These critical success factors that are called “core critical success factors” are extracted from 62 published papers using the content analysis and the entropy method. The proposed conceptual model has been verified in the context of five multinational companies.


2018 ◽  
Vol 21 ◽  
pp. 64-68
Author(s):  
Jānis Pekša

Enterprise resource planning (ERP) systems are large, modular enterprise applications designed for most of the company’s business processes. They include a range of different forecasting methods. The paper analyses the existing forecasting methods in ERP systems and provides a comparison of forecasting methods in ERP systems. It considers the problem of prediction integration in ERP systems and describes the general process by a conceptual model based on academic literature from forecasting with ERP systems. The study provides an integration approach, which is the most suitable one for providing forecasting functions in ERP systems.


Author(s):  
Mohammed Albarghouthi ◽  
Baomin Qi ◽  
Chengbo Wang ◽  
Muneer Abbad

Enterprise resource planning (ERP) systems are integrated information systems inter-connecting different functional areas within organisations. It has been widely implemented by large manufacturers globally to enhance operational excellence. However, ERP in the Higher Education sector is less accepted and research in this area still remains at its infancy. Although many higher education institutions (HEIs) have implemented ERP solutions or are in the course of implementing the ERP systems, the failure rate ERP projects within HE is much higher than in other sectors. Through critically examining the existing literature the aim of this research is to develop an extended technology acceptance model (TAM) taking into account the critical factors of ERP adoption for HEIs. Two categories of these factors have been identified from literature based upon a conceptual model is developed. It was clear from reviewing the literature that the main categories of factors that have been studied extensively and shown to be key to understanding ERP adoption and acceptance are: the individual-related factors such as computer self-efficacy and organisational-related factors such as top management.


Author(s):  
Thomas Schmidt ◽  
Stephan Hofmann

Enterprise Resource Planning (ERP) systems constitute a prerequisite for successfully managing business in many industries, including the logistics industry. Since today's standard ERP systems determine a company's business down to the smallest detail, effectively aligning a company's strategy and business processes with software-given processes is imperative for maintaining a competitive advantage. This calls for defining an Enterprise Conceptual Model based on a sound derivation of imminent processes, either directed towards current, reference or ideal processes. The case study exemplifies that an Enterprise Conceptual Model has actually helped to translate strategic goals and operational needs into business processes and, thereby, align imminent and software-given processes. The application of current, reference and ideal process models for definition imminent processes is shown. Insight is drawn from a one-case case study of a medium-sized Namibian freight forwarder and logistics service provider.


Author(s):  
Mohammed Albarghouthi ◽  
Baomin Qi ◽  
Chengbo Wang ◽  
Muneer Abbad

Enterprise resource planning (ERP) systems are integrated information systems inter-connecting different functional areas within organisations. It has been widely implemented by large manufacturers globally to enhance operational excellence. However, ERP in the Higher Education sector is less accepted and research in this area still remains at its infancy. Although many higher education institutions (HEIs) have implemented ERP solutions or are in the course of implementing the ERP systems, the failure rate ERP projects within HE is much higher than in other sectors. Through critically examining the existing literature the aim of this research is to develop an extended technology acceptance model (TAM) taking into account the critical factors of ERP adoption for HEIs. Two categories of these factors have been identified from literature based upon a conceptual model is developed. It was clear from reviewing the literature that the main categories of factors that have been studied extensively and shown to be key to understanding ERP adoption and acceptance are: the individual-related factors such as computer self-efficacy and organisational-related factors such as top management.


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.


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