System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Niu, Baozhuang; Chen, Kanglin; Huang, Huizhong; Li, Yuan; Chen, Lei

doi:10.15837/ijccc.2017.3.2062

Cited by 8 publications

(6 citation statements)

References 8 publications

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“…With the potential benefits of the information systems, many firms still face barriers to implement systems successfully. Some barriers include: complexity of the business environment, need for extensive customization, unfit for the firm's operations properties, limitations in available financial, human and technical resources, diversity of the systems, risks associated with the implementation, and absence of guidance for adoption [25][26][27][28][29][30].…”

Section: Business Process Information System Evaluationmentioning

confidence: 99%

“…Thus, a firm needs to select suitable information system and IT tools, adjust its business process, and evaluate performance appropriately to successfully implementing a system [30]. Since firms often do not develop their own business process information systems, the support of software developers from the installation to the implementation and everyday operation of the system is essential.…”

Section: Business Process Information System Evaluationmentioning

confidence: 99%

“…The fuzzy extension of the AHP was applied to determine the weights of the criteria in the ERP system selection problem, and the fuzzy TOPSIS was used to rank the ERP systems in meeting the firm's goals in an uncertain environment. Niu et al [30] studied the ERP system selection problem and the performance evaluation of the ERP system after implementation. A manufacturing company was used as an example to examine the two proposed models.…”

Section: Business Process Information System Evaluationmentioning

confidence: 99%

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An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems

2019

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The prevalence of business-to-business (B2B) has made the relationship among firms more closer than ever. Whether in simple arm-length transactions or business cooperation, many firms, in order to reduce costs and achieve efficiency, have shifted their day-to-day operations from the tradition of relying on manpower to the use of information technology in handling tasks such as inventory, procurement, production planning, distribution, etc. As a result, the need of a business process information system is imminent for firms to coordinate with partners in the supply chain and to be sustainable in the competitive market. This study thus proposes a hybrid multi-criteria decision-making approach for evaluating business process information systems. First, the factors that should be taken into account in selecting an appropriate system are explored. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) is adopted next to understand the interrelationships among the criteria. Based on the results from the DEMATEL, the Fuzzy Analytic Network Process (FANP) is applied to calculate the importance of the factors. Fuzzy Techniques for Order of Preference by Similarity to Ideal Solution (FTOPSIS) is used to rank the business process information systems.The interrelationship among the factors should be considered in the decision-making; thus, the FANP can be a recommended methodology. However, the FANP questionnaire is usually very lengthy and cumbersome. The use of DEMATEL in advance can shorten the questionnaire substantially. FTOPSIS is used to rank the alternatives so that the pairwise comparisons of the alternatives required in the FANP can be avoided. Fuzzy set theory is incorporated in the study so that the uncertainty and ambiguity present in decision-making can be considered. The proposed approach can provide references for decision makers for making relevant decisions and can be revised and adopted in similar problems.Mathematics 2019, 7, 982 2 of 23 of the business process information system can facilitate the business operations within and outside of a firm and to be sustainable in the fierce market. For example, Taiwan Semiconductor Manufacturing Company (TSMC), founded in 1987 in Taiwan, is the largest semiconductor foundry in the world. TSMC, has been implementing the virtual fab concept to provide a wide variety of semiconductor products for customers in the computer, communications, consumer, industrial, and standard semiconductor markets [3]. In order to handle a diversified product portfolio, provide on-time-delivery and short production cycle time, and respond to customer demands spontaneously, TSMC introduced its business process information system in October 1996 and completed its implementation in January 1998. With its successful implementation of the system, the firm can handle its business operations efficiently. In 2017, it manufactured 9920 different products using 258 distinct technologies for 465 different customers [3]. Therefore, if the business process information system can be adopted su...

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Section: Business Process Information System Evaluationmentioning

confidence: 99%

Section: Business Process Information System Evaluationmentioning

confidence: 99%

Section: Business Process Information System Evaluationmentioning

confidence: 99%

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An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems

2019

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“…The issues of creation, development and implementation of decision support systems in corporate information systems, as well as business analytics were considered in the works of such researchers as: D. Appelbaum, A. Kogan, M. Vasarhelyi [1]; S. Dezdar [2]; С.-K. Hou [3]; P. Ifinedo [4]; T. Kamps, R. Stenzel, L. Chen [5]; J.-D. Leu, L. J.-H. Lee [6]; B. Niu, K. Chen, H. Huang [7]; S. Oman, R. Leskovar, B. Rosi [8]; R. Rajnoha, J. Kadarova, A. Sujova [9]; A. Uçaktürk, M. Villard [10]; M.K. Zaini, M. N. Masrek, M. D. Sani [11], D. J.…”

Section: Introductionmentioning

confidence: 99%

Improvement of tools for decision support systems (DSS) in corporate information systems of industrial enterprises

et al. 2018

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Abstract. Modern industrial enterprises require more qualitative and indepth approaches to the processing of accounting information and its subsequent use in operational activities. The study presents the research results of current situation over the problem that need to be solved by forming and improving the tools for decision support systems. According to the authors of the article, such a toolkit should be an integral part of the corporate information system along with other vital modules.

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“…They do not only measure the performance of ERP systems, but also measure their contribution to the companies' strategic goals. Niu et al (2017) propose key performance indicator by utilizing analytical hierarchical process (AHP), then integrate it into fuzzy evaluation method for the assessment of ERP implementation. They consider minimization of cost, minimization of time, complete functionality, user-friendly operations, system flexibility, and system reliability.…”

mentioning

confidence: 99%

A robust MCDM approach for ERP system selection under uncertain environment based on worst case scenario

Temur

Bolat

2018

JEIM

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Purpose ERP selection is a multi-faceted process and needs to be successful in dealing with high uncertainty. The purpose of this paper is to propose a novel multi-criteria decision making (MCDM) approach, titled as cloud-based design optimization (CBDO), for ERP selection problem to handle high uncertainty with a computationally effective way. Design/methodology/approach CBDO has been utilized as an alternative method to fuzzy set theory and stochastic programming, and proposes robust findings for worst case scenario. In order to assess the proposed methodology, a numerical study is conducted by taking into account existing state-of-the-art study on the ERP selection problem for the small medium enterprises. The outputs of the existing state-of-the-art study are assumed as uncertain and varying across time as it is expected in real life; therefore, different scenarios are created in order to reveal the effect of uncertainty on decisions. Findings In the methodology, the results given under uncertain conditions are compared with the results obtained under stable conditions. It is clearly seen that ERP system selection problem area has high sensitivity to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during the ERP system selection process, especially within volatile economies. Originality/value This study contributes to the relevant literature by utilizing CBDO as a MCDM tool in the selection of the ERP software as a first time, and validating the impact of unsteadiness on the ERP selection procedure. It is the first CBDO-based study that validates the effect of distributional differences on uncertainties in the ERP selection processes.

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System Selection and Performance Evaluation for Manufacturing Company’s ERP Adoption

Cited by 8 publications

References 8 publications

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Evaluating Business Process Information Systems

Improvement of tools for decision support systems (DSS) in corporate information systems of industrial enterprises

A robust MCDM approach for ERP system selection under uncertain environment based on worst case scenario

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