Enterprise Resource Planning Selection Research Articles

Linguistic hesitant fuzzy interactive multi-attribute group decision making for enterprise resource planning selection

Enterprise resource planning (ERP) system selection involves multiple evaluation attributes with interaction. It can be attributed to a type of interactive multi-attribute group decision making (MAGDM). Linguistic hesitant fuzzy sets (LHFSs) are powerful tools to represent the uncertainty, hesitancy, and inconsistency of decision makers’ (DMs’) preference. This article proposes two new methods for interactive MAGDM with LHFSs based on comprehensive cloud (CC) power geometric (PG) aggregation operators. First, the CC of LHFS is defined and a distance measure between two CCs is offered. Considering the interaction among the aggregated LHFSs, we develop some CC PG aggregation operators of LHFSs. An uncertainty degree of LHFS is defined. Then, an approach is developed to derive the weights of DMs. An approach is proposed to derive the comprehensive attribute weights. Thus two new methods are presented for interactive MAGDM with LHFSs. An ERP selection example is provided to validate the proposed methods.

A new integrated rough multi-criteria decision-making model for enterprise resource planning software selection.

Enterprise resource planning (ERP) is widely used to boost the total market power of businesses. The wrong selection is one of the key reasons why ERP installations fail. Due to the complexity of the business environment and the range of ERP systems, choosing an ERP system is a complex and time-consuming procedure. ERP alternatives may be assessed using several criteria, so the ERP selection process may be considered a multi-criteria decision-making (MCDM) problem. In this study, the rough best worst method (BWM) was used to determine criteria weights, while the newly developed rough integrated simple weighted sum product (WISP) was used to rank ERP alternatives. Results suggest that the SFT-4 coded software is regarded as the best option, followed by SFT-5, SFT-6, SFT-2, SFT-3, and SFT-1. Results of the newly developed rough WISP method are compared to those of existing rough techniques in the sensitivity analysis. The differences between them have been found to be negligible. The outcomes show how effectively developed rough BWM and WISP integrated method performs in terms of ERP selection with usability, accuracy, ease of use, and consistency. This study will help decision-makers in a context where ERP is implemented choose the best ERP software for different sectors.

The Process of Cultural Alignment Within a Multicultural Context: The Case of ERP System Deployment across Europe and Africa

Culture plays a vital role in the acceptance and effective utilization of information technologies. As a value-laden artefact, information technology (IT), such an Enterprise Resource Planning (ERP) system, is likely to introduce a counterculture in conflict with the implementing organization. Yet, how cultural alignment between IT and the implementing organization develops over time in a multicultural context is unknown. This research presents a dynamic process of cultural alignment, outlining the steps and events that lead to the alignment of cultural issues between an ERP system and the adopting organization at national, sectoral, organizational and group levels. Drawing on a longitudinal case study of a logistics service provider’s ERP system deployment across France, Italy, Morocco and Tunisia, this study shows that cultural alignment involves four key steps – requirement analysis, ERP selection, cultural misfit resolution and user testing – that are strongly influenced by technical, operational and organizational constraints. Our findings contribute to the understanding of the dynamic and intricate nature of the cultural alignment process, involving both the organization and technology.

Exploring ERP systems adoption in challenging times. Insights of SMEs stories

This paper offers a study of real success experiences of SMEs, in relation to the motivations of selection and implementation of Enterprise Resource Planning (ERP) and its benefits that also allow the confrontation with theoretical concepts, based on reviewed literature. We followed a qualitative approach based on in-depth content analysis of SMEs online stories included in the ‘Customer Stories’ directory available on the SAP website using the R language to scrape data and statistical analyses. The findings provide evidence that the use of ERP, for managing SMEs, is constructive to their success and improves the quality of their decision-making processes. Although the technologies implemented by SMEs were characterized by their specialisation and adaptation, SAP Business One is the leading solution, without significant differences by sector compared to Europe. They also reveal that the effectiveness of implementing ERP is intrinsic to the reputation of the software vendors and the high professionalism of the partners. Additionally, the results indicated the short-term approach of SMEs when implementing this type of tool, takes precedence over the strategic and economic benefits. Furthermore, the empirical analysis supports the association of some motivational factors of ERP implementation and selection with characteristics of the organisations, such as activity and size.

A Realistic and Practical Guide for Creating Intelligent Integrated Solutions in Higher Education Using Enterprise Architecture

Enterprise architecture (EA) plays a crucial role in organizations by providing a clear strategy for digital transformation and seamless information flow across boundaries. It is a tool for achieving current and future objectives effectively. By providing a comprehensive view, EA helps organizations build suitable and sustainable software solutions while avoiding complex challenges caused by unmanageable information flow blockages. Moreover, EA provides a standard framework for implementing enterprise resource planning (ERP) systems. Although EA and ERP systems have different concepts, they possess complementary characteristics that support decision-makers in the ERP selection process, which can be quite risky due to cost feasibility, time consumption, and team effort. This study proposes using the EA concept as a reference module for selecting the most suitable integrated solution for the higher education sector. The aim is to provide high-impact criteria for choosing the most appropriate ERP system as a core solution. Additionally, EA supports other related solutions integrated with the ERP system under the EA umbrella to run a fully automated smart entity. To determine the most suitable ERP solution for higher education entities in the study country, a set of critical criteria for ERP selection as a core solution in the education sector is generated through brainstorming, which is based on an EA reference module specifically designed for higher education entities that seek to operate smartly. A comparison technique is employed to evaluate the highlighted criteria, including a case study for ABC University. The study’s results reveal that fully integrated and sustainable solutions can be envisioned for higher education entities, which can support the digital transformation of the higher education sector based on a smart EA reference module along with a set of critical main ERP selection criteria. This can mitigate the risk associated with ERP selection as a core solution and support decision-makers in selecting the most suitable ERP package for educational entities.

Exploring Multi-Criteria Decision-Making Methods in ERP Selection

Enterprise resource planning (ERP) adoption literature has a consensus that selecting the right ERP system is one of the most critical success factors in the ERP adoption lifecycle. While choosing a non-fitting ERP system may lead to adoption failures, however very few papers focus solely on this selection phase. Hence, given the criticality of the ERP selection phase, this paper aims to identify and review the different ERP selection methods in extant literature. This research also presents the factors and variables included in each identified selection method in ERP literature. As a result, each method identified was reviewed, analyzed, and summarized. Our main findings suggest that ERP selection is a multi-criteria decision-making (MCDM) problem, with various methods and techniques that can be utilized for such problems. Several MCDM methods have been used in literature, but often complementing more than one method combined at a time. This is since some methods excel in considering factors in uncertain environments, and other methods are best in evaluating qualitative and quantitative factors. Finally, while there are some methods that were used for cloud-ERP selections, there is no clear consensus in extant literature if some methods could best fit specifically cloud-ERP contexts in contrast to on-premises counterparts.

ERP systems selection in multinational enterprises: a practical guide

The Enterprise Resource Planning (ERP) system selection is an early phase in the ERP adoption process. When organizations evaluate an ERP, they commonly develop their own selection criteria that usually involve various system and vendor related factors. While the selection process is critical, however, there is an apparent research gap in literature. The ERP selection effort also focuses on the system’s fit with the organizational requirements and needs. Thus, the selection phase is critical, because if an organization chooses an unfit ERP, the whole project could be predestined to fail. This research provides an overview of an ERP selection process at an overseas branch office of a multinational company. The process employed a simple multi-attribute rating technique (SMART) for evaluation. In addition, this research presents how cross-border data protection laws between the parent company and its branch have influenced the selection process. As the ERP system has been implemented successfully, the method and the selection factors have been proven adequate for the selection process.

Integrated Management Solution for a Sustainable SME—Selection Proposal Using AHP

In the conditions of the pandemic crisis, implementing an enterprise resource planning (ERP) system with a sustainability component represents a crucial investment for a small and medium enterprise (SME) but critical for the organization, if it is not the matching solution. A comprehensive framework for selecting the S–ERP system was elaborated, including a set of relevant criteria for an SME to draw and assess the selection of an ERP system, considering that the factors extracted as well as the importance in the proposed model have been debated for years in the available literature. A methodology based on the brainstorming and questionnaire techniques was proposed in establishing the selection criteria, and the AHP decision analysis method was used for evaluating the weight of the criteria, all these in order to provide a model for ERP selection. This model was tested on a set of numerical, hypothetical, and applied data of the Romanian context. The use of the recommended model shows that it can be applied to improve decisions and decrease the time interval required for S–ERP selection. The results also show that AHP can fulfill the S–ERP selection objective for SMEs and the decisive factors that affect decision–making processes in a systematic way.

Risk Assessment in ERP Project by COPRAS Method Under Fuzzy Environment

Enterprise resource planning (ERP) projects are prone to risk from the strategic, operational, technical and organizational perspective. The assessment of project risks is a challenging task for project managers and is considered in a class of a multi-criteria decision making (MCDM) problem. In this work, an MCDM approach has been presented for risk assessment in ERP project by COPRAS under fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by triangular fuzzy number. Fuzzy COPRAS (COPRAS-F) has been used to determine the weight of risk criteria and then prioritize the risk factor based on the calculated weight of criteria. The prioritized risk factors have been classified in scale from almost certain to rare risks. The proposed approach is illustrated with a real case studying fertilizer plant and the associated results have been compared with fuzzy TOPSIS technique. The result of this study demonstrates that excessive customization, ineffective consulting services experiences, complex architecture and high number of modules, poor project team skills, inadequate change management, inadequate ERP selection, ineffective strategic thinking and planning, poor leadership, lack of business process re-engineering and low-key user involvement are top ten risks that need to be mitigated to avoid failure of ERP project.

Contextual Factors and Strategic Consequences of Cloud Enterprise Resource Planning (ERP) Adoption in Malaysian Manufacturing SMEs: A Conceptual Framework

Purpose: The purpose of this study is to holistically investigate the interrelationships between key contextual factors of cloud ERP adoption and the strategic consequences of such adoption. Design/Methodology/Approach: The key contextual factors whose influences are explored on cloud ERP adoption are Feature task-match, (FTM); Top Management Support on Change Management (TMSCM) and Government Financial Support (GFS) while the strategic consequences of cloud ERP adoption investigated are competitive advantage (CA) and organisational performance. A conceptual framework grounded in Technology-Organisation-Environment (TOE) model, Task technology-fit (TTF) model and Resource-Based View (RBV) theory is developed for empirical validation that will involve a projected sample of 382 respondents of SMEs in Malaysia using PLS-SEM as main statistical analysis tool. Practical Implications: Practically, this study will guide SMEs' managers on cloud ERP selection that fits their firms' tasks, how to effectively deal with resistance to change occasioned by technology adoption and how effective GFS has been influencing cloud ERP adoption. In addition, SMEs managers stand to gain insight into how cloud ERP adoption can simultaneously and/or indirectly lead to competitive advantage and organisational performance as strategic benefits. Originality/Value: Investigation of a new variant key contextual factors critical for successful cloud ERP adoption and their subsequent impact on CA and organisational performance simultaneously and indirectly.

Selection of enterprise resource planning software using analytic hierarchy process

ABSTRACTSelecting ERP (Enterprise Resource Planning) software is crucial to enhance productivity because it provides high-quality services for end users. The choice of an ERP is a problem that should undertake deeper scrutiny. For example, several criteria are usually present, having different tradeoffs. Analysts and managers, when deciding which ERP to acquire, have key considerations to address when facing the myriad of available software suites with market presence. Multicriteria modelling are used to help decision makers select ERPs and one commonly used technique for helping the process of addressing such problems is Analytic Hierarchy Process (AHP). Our work have surveyed the literature on selection of ERP and we have discovered that acquisition and monthly costs, ERP reputation and references, level of support and training, deployment experience, ERP’s feature set, easiness of use, efficiency and reliability, and maintainability are key criteria. We have used those criteria to create an AHP model for deciding the best one according to judgements of importance. The focus of our work is directed for small and medium organizations. We have created a model for ERP selection of a healthcare facility and computed numerical results using pairwise comparisons and group decision-making by selected managers according to their expertise.

Framework for Selection of ERP System: Case Study.

Currently, for all businesses, due to market competition and continual economic pressure on businesses, there is perpetual need to adopt innovative tools and techniques, to cope with these pressures and to make the best decision to respond to market changes. This is particularly true for small to medium sized enterprise (SME), therefore, in order for SMEs to be competitive and responsive to continuously changing of the market, they need integrate all of the units within company at the information level, to have correct information in real time to make quick and right decision. This can only occur by adopting the most appropriate system relating to the business and the manufacturing strategy of the company. Consequently, integration systems such an Enterprise Resource Planning (ERP) currently are in high demand for both manufacturing and service organisations. Implementing an ERP system is a significant investment decision and challenging for all companies, particularly SMEs as their resources are limited. There are numerous stages in the ERP implementation procedure. One of the initial and most critical stages is that of ERP selection. It is very important to pay detailed attention to select the right systems to for the company, as the adoption of an ERP system can lead to undesirable outcomes were an inadequate ERP system selected and implemented causing detrimental to the company’s performance. Literature review indicates a failure rate as high as 70%, due to the selection and adoption of an inappropriate ERP system. Therefore, this paper developed a theoretical framework that can be used by SMEs to select the most appropriate ERP system, the framework consist of three phases: Define, Evaluate and Select. The approach taken in this work consist of two phases: the first phase is a literature review of studies in ERP selection, to develop a theoretical framework, second phase, presents a practical case study, to validate the developed framework. The findings of this work supports both manufacturing and service organisations seeking to implement ERP systems by determining the most appropriate ERP system invaluable toward enhancing successful implementation, minimising the risk of a non-fitting ERP system and consequent project failures. Moreover, this enables decision makers to formulate better strategies to enhance ERP system implementation, and to identify critical elements of the implementation process.

Selecting appropriate ERP software using integrated fuzzy linguistic preference relations – fuzzy TOPSIS method

AbstractDue to the high uncertainty of business environment, the complexity and diversity of enterprise resource planning (ERP) projects and conflicting assessment criteria, appropriate ERP software selection can be viewed as a multi-criteria decisionmaking (MCDM) problem. Among the MCDM methods, extent analysis method (EAM) has been employed in many applications due to its computational simplicity. However, in EAM, inconsistency rises as the numbers of criteria or alternatives increase. In order to address this inconsistency problem, fuzzy linguistic preference relations (FLPR) has been proposed to obtain consistent solutions in the decision-making processes. This study proposes a robust ERP selection framework where the weights of the evaluation criteria are computed through FLPR and the ranking of the alternative ERP systems is obtained via Fuzzy TOPSIS. A real life application has been executed in a Turkish wholesale food company.

Penerapan Enterprise Resource Planning (ERP) pada Sistem Pembelian, Penjualan dan Inventory Barang di Mini Market 7 Putra

7 Putra is one of the mini market located on the Pasar Sungai Sariak. Purchasing, sales, and inventory of goods on this market mini is done without using a computer. It can be seen from the process of buying new goods, the receipt of goods, payment to suppliers, inventories in storage, movement of goods, sales of goods and payments from customers. ll of the above processes suffer from the financial constraints and poorly controlled. Application development Enterprise Resource Planning (ERP) in a mini-market 7 Putra to assist and facilitate the process of purchase, sales and inventory items. Implementation of ERP in 7 Putra done through several stages of the business process analysis, analysis of ERP selection, ERP implementation and ERP testing. In filming the analysis of business processes, use BPMN (Business Process Modeling Notation). The module used in this research is the main module purchase, sales, as well as items and inventory. Before the implementation of ERP. ERP selection was done according to the 7th Round. The results of the election analysis showed FrontAccounting application is an application that is suitable for 7 Putra. ERP implementation is done by using the application FrontAccounting. System testing is done to check and make sure it is appropriate and ERP applications can run as expected. The test is based on existing business processes in 7 Putra. Results of testing ERP accordance with existing reporting and business processes in the 7th Round

ERP Selection Using Fuzzy-MOGA Approach: A Food Enterprise Case Study

Selection of Enterprise Resource Planning (ERP) system is a complex decision-making process and one of the critical success factors (CSFs) in ERP adoption life cycle. Many ERP implementation failures are caused by improper package selection. Various approaches have been used, but not using optimization techniques. This study developed a Fuzzy-Multiobjective Genetic Algorithm (F uzzy-MOGA ) approach to optimize the quality of ERP selection criteria that complies with ISO25010 quality standard and cost. A case study was conducted on an agro-industrial company. The result shows the approach of Fuzzy-MOGA with NSGA-II method facilitate a complex decision-making for ERP selection optimally.

Selecting “The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods

Enterprise Resource Planning (ERP) system, which integrates all of the units within an organization at the information level, plays an important role for a successful enterprise. With the right ERP system, it is easier to provide coordination between the units, eliminate waste and make faster and better decisions. Adopting an ERP system is a significant investment decision for a firm, therefore a great deal of attention should be given to the selection of the right system. Since there are a large number of criteria to consider in selecting an ERP system, the process itself is regarded as a complex multi-criteria decision making problem. In this study, two prevalent multi-criteria decision making techniques, Analytic Network Process (ANP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), are used in combination to better address the ERP selection problem. First, ANP is used to determine the weights of all criteria, and then, the obtained weights are used in the PROMETHEE method for optimal ranking of the alternative system choices. To demonstrate the viability of the proposed methodology, an application case is performed on the ERP selection problem for the Small Medium Enterprises (SMEs) in İstanbul, Turkey. The proposed hybrid methodology successfully ranked the alternatives and identified the best ERP system based on the information obtained from a number of SMEs participated in this study.

USING ANALYTIC NETWORK FOR SELECTION OF ENTERPRISE RESOURCE PLANNING (ERP) ALIGNED TO BUSINESS STRATEGY /UTILIZAÇÃO DA REDE ANALÍTICA PARA A SELEÇÃO DE SISTEMAS INTEGRADOS DE GESTÃO (ERP) ALINHADOS À ESTRATÉGIA DE NEGÓCIO

The choice of an Enterprise Resource Planning (ERP) must be made judiciously by the high costs involved in the acquisition of such systems. Managers in areas such as accounting, financial and information technology need support and tools that help in selecting an appropriate ERP for their business. With this article, we present a study aimed at investigating the possibility of a Decision Support System (DSS) to be used for this selection interrelating evaluation criteria, which could allow to contemplate the strategic alignment between Business and Information Technology. From the literature review 28 factors related to the selection of software packages, with special emphasis on ERP were identified. For the research procedures, the qualitative ones were adopted, in that the 18 factors considered relevant to a good selection of ERP were classified with the Delphi technique and used as input in a DSS: Analytical Network Process (ANP), applied as a Case Study in a small business that hired the ERP. The results showed that the ANP was efficient in interrelated criteria and evaluated the strategic alignment between Business and Information Technology.

Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines

Enterprise resource planning (ERP) systems that aim to integrate, synchronize and centralize organizational data are generally regarded as a vital tool for companies to be successful in the rapidly changing global marketplace. Due to its high acquisition—purchasing, installation and implementation—cost and the wide range of offerings, the selection of ERP systems is a strategically important and difficult decision. Since there is a wide range of tangible and intangible criteria to be considered, it is often defined as a multi-criteria decision making problem. To overcome the challenges imposed by the multifaceted nature of the problem, herein a three-stage hybrid methodology is proposed. The process starts with the identification of most prevailing criteria through a series of brainstorming sessions that include people from different organizational units. Then, due to the varying importance of the criteria, a fuzzy Analytic Hierarchy Process, which handles the vagueness inherent in the decision making process, is used to obtain the relative importance/weights of the criteria. These weighted criteria are then used as input to the Technique for Order Preference by Similarity to Ideal Solution method to rank the decision alternatives. As a real-world illustrative case, the proposed methodology is applied to the ERP selection problem at Turkish Airlines. Because of the collaborative and systematic nature of the methodology, the results obtained from the process were found to be highly satisfactory and trustworthy by the decision makers.

ERP Selection: The SMART Way

Abstract Enterprise resource planning (ERP) systems implementation projects are challenging and resource consuming. There are several phases in the ERP implementation process. One of the earliest and most critical phases is the ERP selection phase. If an organization selects an inadequate ERP to fit their needs, the project will most likely destine to fail. Research and practice have provided several cases of ERP project failures because of a faulty selection process. No matter what amendments the adopting company undertakes in the later phases, if there is no fit, there is no success. This research, presents an explanatory case study, which employed a simple multi-attribute rating technique (SMART)-based ERP selection method. The selection method was mainly based on developing process maps for all the critical business processes inside the organization, and then checking the degree of compliance of the potential ERP packages with those developed process maps. In addition, other factors were also included in the ERP evaluation and selection process. As the ERP was assured to be matching the business requirements, the method and the selection factors have been proven adequate for the selection process. In addition, this minimizes the risk of a non-fitting ERP system and consequent project failures.

Guía de selección de erp en las pequeñas y medianas empresas mexicanas

Enterprise Resource Planning (ERP) systems are information system characterised by having a shared database for all the company’s departments. Organisations use ERP sys- tems to manage their data and help improve decision-making. However, recent studies show that 92% of ERP projects do not end in success (De Pablos Heredero and De Pablos Heredero, 2009). This paper aims to design a guide to ERP selection for Mexican SMEs. It starts with a review of the scientific literature, which is divided into methodological proposals, case studies, micro-sociological studies, and critical success factors for ERP projects. To complement our theoretical study we interviewed consultants, users and ERP project experts, who supported our conception of this issue at local level. Finally, we designed an ERP selection guide.