Feral Systems and Other Factors Influencing the Success of Global ERP Implementations

2011 ◽  
pp. 1748-1767 ◽  
Author(s):  
Don Kerr

In this chapter we look at the factors that influence the successful implementation of a global enterprise resource planning (ERP) system. We identify 12 issues that need to be considered when implementing such systems. Each one of these issues is expanded upon with relevant literature and examples. In this chapter we also look at factors that lead to the development of information systems by employees in addition to or outside the implemented ERP. We introduce the concept of feral systems to explain this phenomenon. Other factors such as employee mistrust of the system are also discussed. Finally we look at future directions with respect to ERP implementations.

Author(s):  
Don Kerr

In this chapter we look at the factors that influence the successful implementation of a global enterprise resource planning (ERP) system. We identify 12 issues that need to be considered when implementing such systems. Each one of these issues is expanded upon with relevant literature and examples. In this chapter we also look at factors that lead to the development of information systems by employees in addition to or outside the implemented ERP. We introduce the concept of feral systems to explain this phenomenon. Other factors such as employee mistrust of the system are also discussed. Finally we look at future directions with respect to ERP implementations.


2021 ◽  
Vol 11 (15) ◽  
pp. 6792
Author(s):  
Alessio Faccia ◽  
Pythagoras Petratos

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.


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.


2018 ◽  
Vol 14 (4) ◽  
pp. 89-107
Author(s):  
Ashraf Ahmed Fadelelmoula

This article empirically assesses the impacts of the quality dimensions of the enterprise resource planning (ERP) system on the realization of the fundamental business objectives of information systems and perceived usefulness. To assess these impacts, a theoretical model was developed based on the theory of information systems success. The model comprises the quality dimensions of the ERP system and their hypothesized relationships with the realization of the fundamental business objectives and perceived usefulness. To test the postulated relationships, a questionnaire was constructed based on a thorough survey of the information systems literature. The questionnaire was distributed to a sample of 300 end users of the ERP system in a public university in the Kingdom of Saudi Arabia (KSA). The collected data were tested using regression analysis. The findings reveal that information quality has the highest effect on the realization of business objectives, while service quality has the highest effect on the perceived usefulness. These findings indicate that the crucial aspects of both information quality and service quality should receive greater management attention in order to enhance the individual and organizational impacts of the ERP systems.


2020 ◽  
Vol 16 (2) ◽  
pp. 54-72
Author(s):  
Yu Zhao ◽  
Kakoli Bandyopadhyay ◽  
Cynthia Barnes

Enterprise resource planning (ERP) systems allow businesses to achieve high performance through distinctive capabilities and are one of the fastest growing areas within information systems. Many universities have adopted ERP in their management information systems (MIS) curriculum to increase the marketability of their students. Drawing on the IS success model and several constructive learning theories, this study develops a model that is predictive of students' continued ERP software use intention, satisfaction, and perceived learning outcomes. SAP is the ERP system used in this study. Business students at four mid-sized state universities in the United States were surveyed. The universities are members of the SAP University Alliance. There were 373 usable responses. Partial least squares structural equation modeling (PLS-SEM) was used to empirically test the model. The findings indicate that student motivation, perceived instructor support, and ERP system quality are strong predictors of student satisfaction, and learning outcomes. Student motivation and ERP system quality, but not perceived instructor support, are also significant predictors of continued use intention.


Author(s):  
Jo-Mae B. Maris

Cross-discipline research requires researchers to understand many concepts outside their own discipline. Computing has increased in our everyday lives to the point that “ubiquitous computing” has become an entry in the Wikipedia (Wikepedia). Research is no different. Researchers outside of computer networkrelated disciplines must account for the effects of network-based information systems on their research. This article presents a model to aid researchers with the tasks of properly identifying the elements and effects of a network-based information system within their studies. The complexity associated with network-based information systems may be seen by considering a study involving the effectiveness of an Enterprise Resource Planning (ERP) system on a mid-sized company. A study becomes muddled when it fails to recognize the differences between the myriad of people, procedures, data, software, and hardware involved in the development, implementation, security, use, and support of an ERP system. If a researcher confuses network security with ERP configuration limitations, then two important aspects of the information system are obscured. Networks limit access to network resources so that only authorized users have access to their data. ERP applications allow an organization to restrict access to data to safeguard the data (Colt & Yang, 2004). Both aspects relate to the availability of data, but they come from different parts of the system. The two aspects should not be addressed as if both are attributable to the same source. Misidentifying network-based information system elements reflects negatively upon the legitimacy of an entire study.


Author(s):  
Xi Chen ◽  
Rapeepat Techakittiroj

Enterprise Resource Planning (ERP) system in companies can be implemented to Multi National Corporation (MNC), Larger Enterprise, and Small & Medium-sized Enterprises (SMEs). In China, 99% of all companies can be categorized as SMEs. With a decade of high-speed economy development after entering the 21st century, traditional Chinese SMEs want to find a new management model to improve work efficiency and increase business opportunities. This study finds the factors affecting the diffusion and successful implementation of ERP in Chinese Nanjing manufacturing SMEs. It will lead to the conclusion that ERP investment and implementation, which could be used as project guideline by the management of SMEs or companies that adopt ERP in intend to implement them. The objective is to provide Nanjing’s SMEs implementing ERP with knowledge about ERP implementation factors.


2017 ◽  
Vol 2 (1) ◽  
pp. 62 ◽  
Author(s):  
James Kiarie ◽  
Mr. Walter Wanyama

Purpose: The purpose of this study was to investigate the factors that influence ERP systems adoption and implementation in SMEs in Kenya.Methodology: The research adopted a descriptive design. The target population was 4560 SMEs in Kenya. A sample size of 87 SMEs was selected. The respondents were identified through probability sampling in the form of stratified sampling.  The collection of data was conducted through the use of questionnaires and thereafter data coding was done then followed by data presentation via graphs, tables as well as pie charts. These were then analyzed through both descriptive statistics (frequencies and means as well as inferential statistics (correlations).Results: The findings revealed that organization resources bring about success of ERP related organization change. The findings on the influence of internal factors on ERP system implementation revealed that indeed the internal factors influencing the adoption of ERPs in SMEs in Kenya include; the top management of SMEs, project team constitution as well as the above average knowledge requirements.Unique contribution to theory, practice and policy: The study recommends that SMEs in Kenya need to put into consideration, continuous introduction of ERP systems. Additionally, the study recommends that the government regulations as well as the other external factors should be aligned in a way that ensures that there is room for companies to explore means of adopting and implementing ERP systems so as to be able attain sustainable competitive advantage.


Author(s):  
Sharina Tajul Urus ◽  
Tuan Zainun Tuan Mat ◽  
Sharifah Nazatul Faiza Syed Mustapha Nazri ◽  
Fadzlina Mohd Fahmi

The deployment of Enterprise Resource Planning (ERP) systems worldwide has become an evidence of the unprecedented movement towards integration of information technologies. The importance of continuance usage during the post implementation stage should not be neglected as to secure an optimal advantages offered by ERP system, that is achieved through minimizing ERP system usage barriers. As such, successful implementation of an ERP system does not necessarily guarantee that the system will be comprehensively used or accepted by users of the system. ERP benefits can only be realised and sustained if users continue to have favourable experiences in using the system. While many previous studies have examined ERP system during the implementation phase, only a few have revealed barriers to ERP usage as well its antecedent factors during the post-implementation phase. The purpose of this paper is to determine ERP system usage barriers and unearth the root causes to the barriers. To achieve the aim, this research was guided by the ‘soft-positivism’ paradigm, a paradigm that combines elements of positivism and interpretivism. By using this paradigm, the investigator brought certain prior expectations to the data analysis which are consistent with positivist research and which also build rich explanations from the data, consistent with the interpretive assumption. Based upon the lens of Task Technology Fit theory, this study adopts a qualitative method using multiple case studies. Three Malaysian organisations that had implemented ERP were investigated by conducting 30 semi–structured interviews and reviewing archival records and documents. The interviews were guided by the research objectives. Data were analysed by using open and thematic coding.The finding indicated four major areas of ERP usage problems: system, data, and technical infrastructure and interface problems. Besides that, several antecedent factors to the problems were identified. These factors fall into four major categories: organisation, user, task and technology, and include lack of support from either external or internal expertise, lack of individual strength and limited technology affordance. The outcome of this study was encapsulated in the form of the ERP Sand Clock Barriers and Antecedents Model.The paper contributes to post-implementation ERP system literature by stressing the complex relationships between usage barriers and antecedent factors. By identifying the underlying causes of SAP usage barriers, it could become the motivating factor for individual users to undertake reflective feedback and to achieve extended use of the implemented ERP system.


Author(s):  
Jessy Nair ◽  
D. Bhanu Sree Reddy

The successful implementation of Enterprise Resource Planning (ERP) system is a challenge to many organizations. Though an intervention, ERP brings in large scale tangible and intangible benefits to an organization. It poses significant intervention on firm level endogenous dimensions; internal stakeholders, internal organization, business processes and technology. Though literature recognizes that ERP intervention brings about technological change during ERP implementation, hardly any article has conceptualized these interventions in evaluating its performance. Drawing on the Socio Technical system perspective the objective of this article is to conceptualize the ERP intervention on the endogenous dimensions of the organization and develop a comprehensive conceptual model to assess the success or failure of ERP system implementation. The conceptual model, Process-Variance and Adapted Socio-Technical (PVAST), proposed in this article will enable decision makers and practitioners to measure ERP project performance at every stage of its life cycle in a coherent method and adopt corrective measures.


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