A Framework for Applying CSFs to ERP Software Selection

Gupta, Rekha; Naqvi, S. Kazim

doi:10.4018/ijiit.2017040103

Cited by 8 publications

(4 citation statements)

References 46 publications

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“…The MACBETH technique was then used to establish the weights of these criteria. This was similar to a fuzzy-TOPSIS method for ERP selection problem (Gupta and Naqvi, 2017). A simple multi-feature rating technique (SMART) was used for the ERP selection process in an overseas branch office of a multinational company (Haddara, 2018).…”

Section: Related Literature Reviewmentioning

confidence: 98%

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

Yurtyapan

Aydemir

2021

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PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

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Section: Related Literature Reviewmentioning

confidence: 98%

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

Yurtyapan

Aydemir

2021

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“…There is a lack of work in the literature associated with understanding factor selection in BIM implementation for public works. (Gupta et al, 2017) AHP-FTOPSIS A framework for applying CSFs to ERP software selection: an extension of the fuzzy topsis approach (Agrawal et al, 2022) AHP-TOPSIS-DEMATEL Analyzing CSFs for Sustainable Green Supply Chain Management (Majid et al, 2012) FVIKOR-FAHP Project portfolio selection using fuzzy ahp and vikor techniques (Naveed et al, 2021) AHP Assessment and classification of CSFs of cloud enterprise resource planning adoption using the MCDM approach (Brito et al, 2021) AHP Framework for CSF-based BIM Adoption by Brazilian Public Organizations (Firouzabadi et al, 2015) FVIKOR ERP software quality assessment using fuzzy VIKOR This study chose the AHP FTOPSIS and AHP FVIKOR methods to select CSFs and benefits for BIM implementation.…”

Section: The Use Of Mcdm Techniques In the Context Of Bim Implementationmentioning

confidence: 99%

BIM critical factors and benefits for public sector

Schery,

Vignon,

Caiado

et al. 2023

BJO&PM

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Goal: The purpose of this study is to develop a decision support framework to select critical success factors (CSFs) and benefits for the implementation of BIM in the public works sector. Design / Methodology / Approach: The research methodology integrates multiple fuzzy multicriteria decision making (MCDM) approaches to propose a composite framework of CSFs and benefits using qualitative and quantitative approaches, with the application of two semi-structured questionnaires with CSFs and benefits identified in previous studies, through a systematic literature review (SLR). Results: The study identified 42 CSFs and 31 benefits for the implementation of BIM for public works, and the relative importance of the identified factors and benefits was measured according to the four main BIM perspectives: legal, people, process, and technology. The result of the applied MCDMs showed the relationship between the factors and benefits of the four most influential BIM perspectives according to the proposed framework. The most influential CSFs and benefits were: BIM adoption requires individual and group motivation in the organization, Establishment of BIM and Lean construction standards, codes, rules, and regulations, Financial support from the government to establish BIM system, Availability of quality, schedule, and cost information during construction with BIM Accuracy and reliability of documents and data and BIM provides knowledge sharing among stakeholders, Workflow, productivity, and efficiency are affected by the transition to BIM, BIM technology reduces cost and time, Conflict detection, integration, coordination, and design validation, and Creating more efficient projects with stakeholder involvement, coordination, and oversight. Limitations of the investigation: The research sample consisted exclusively of Brazilian professionals and academics with experience in the implementation of BIM in public works. Practical implications: The proposed framework can be applied in implementation in public construction projects that aims to implement BIM considering the selection of critical success factors and benefits. Originality / Value: BIM methodology is widely used in the construction industry. However, there are few studies on CSFs and the benefits of BIM for the public sector, and there still lack of implementation frameworks proposal with empirical evidence.

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“…They identified the weights of each criterion through ANP, and with the help of these criteria weights, ranked the alternatives by PROMETHEE. Kazancoglu and Burmaoglu (2013) Gupta and Naqvi (2017) proposed a framework for implementing the critical success factors to ERP selection process, and used Fuzzy TOPSIS for numerical example. Cakir (2016) proposed a robust framework for ERP selection in which after calculating the weights with fuzzy linguistic preference relations (FLPR), he found the rankings of different alternatives through fuzzy TOPSIS.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection

Sağnak¹,

Kazançoğlu²

2019

eab

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Enterprise Resource Planning (ERP) is a software system incorporating all business functions with regard to systems approach. Global competition forces enterprises to lower costs, reduce inventories, improve quality, and provide better customer service. Therefore, it is important for enterprises to integrate their business functions through the selection and implementation of appropriate ERP software. However, there are three managerial problems existing in this decision process, related respectively with the evaluation of criteria and alternatives, the vagueness within the evaluation process, and the multiple goals and constraints of the company. In this study, in order to select the most appropriate ERP software, the multiple criteria decision-making method (MCDM) is combined with 0-1 goal programming in order to present the combination of linear programming and a MCDM. This combination takes into account not only the need to hire expert opinion for strategic decisions such as ERP selection, but also the limited resources available to enterprises. Also, due to the fuzzy nature of the problem, the MCDM technique, Analytic Network Process (ANP), is combined with fuzzy logic; therefore, fuzzy analytic network process (FANP) is integrated with 0-1 goal programming. The reason for employing FANP is its potential to facilitate the transfer the expert opinion within a network concept.

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A Framework for Applying CSFs to ERP Software Selection

Cited by 8 publications

References 46 publications

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

BIM critical factors and benefits for public sector

Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection

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