1,155 research outputs found

    Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance

    Get PDF
    As the effective evaluation of productivity of information systems is the important element in the success of each system, the present study evaluated business intelligence performance as the most complete information system. To do this, after the review of literature, the initial model of the study was designed by considering five main criteria including adjustment with the business needs and users, system function, providing the organization requirements and integration ability, system flexibility and integration of experiences and needs with 14 sub-criteria in accordance with Lin studies (2009), Haqiqat Monfared (2010). To evaluate the system, based on the effect and dependency of the various factors on BI performance, DEMATEL and network analysis process combination with fuzzy approach with super decision software and Excel was used. Thus, decision-making problem was considered in three levels as data structure network and by achieving the knowledge of the decision makers in the form of linguistic terms via pair-wise comparison questionnaire, the linguistic terms with their meaning were replaced in triangular fuzzy number. The results of the study can be the guidance of implementation of business intelligence that the organization based on system performance evaluation priorities allocates its resources as financial and time resources to improve the organizational goals

    Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance

    Get PDF
    As the effective evaluation of productivity of information systems is the important element in the success of each system, the present study evaluated business intelligence performance as the most complete information system. To do this, after the review of literature, the initial model of the study was designed by considering five main criteria including adjustment with the business needs and users, system function, providing the organization requirements and integration ability, system flexibility and integration of experiences and needs with 14 sub-criteria in accordance with Lin studies (2009), Haqiqat Monfared (2010). To evaluate the system, based on the effect and dependency of the various factors on BI performance, DEMATEL and network analysis process combination with fuzzy approach with super decision software and Excel was used. Thus, decision-making problem was considered in three levels as data structure network and by achieving the knowledge of the decision makers in the form of linguistic terms via pair-wise comparison questionnaire, the linguistic terms with their meaning were replaced in triangular fuzzy number. The results of the study can be the guidance of implementation of business intelligence that the organization based on system performance evaluation priorities allocates its resources as financial and time resources to improve the organizational goals

    Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance

    Get PDF
    As the effective evaluation of productivity of information systems is the important element in the success of each system, the present study evaluated business intelligence performance as the most complete information system. To do this, after the review of literature, the initial model of the study was designed by considering five main criteria including adjustment with the business needs and users, system function, providing the organization requirements and integration ability, system flexibility and integration of experiences and needs with 14 sub-criteria in accordance with Lin studies (2009), Haqiqat Monfared (2010). To evaluate the system, based on the effect and dependency of the various factors on BI performance, DEMATEL and network analysis process combination with fuzzy approach with super decision software and Excel was used. Thus, decision-making problem was considered in three levels as data structure network and by achieving the knowledge of the decision makers in the form of linguistic terms via pair-wise comparison questionnaire, the linguistic terms with their meaning were replaced in triangular fuzzy number. The results of the study can be the guidance of implementation of business intelligence that the organization based on system performance evaluation priorities allocates its resources as financial and time resources to improve the organizational goals

    Supplier evaluation and selection in fuzzy environments: a review of MADM approaches

    Get PDF
    In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of suppliers in a fuzzy environment. To this aim, a total of 339 publications were examined, including papers in peer-reviewed journals and reputable conferences and also some book chapters over the period of 2001 to 2016. These publications were extracted from many online databases and classified in some categories and subcategories according to the MADM approaches, and then they were analysed based on the frequency of approaches, number of citations, year of publication, country of origin and publishing journals. The results of this study show that the AHP and TOPSIS methods are the most popular approaches. Moreover, China and Taiwan are the top countries in terms of number of publications and number of citations, respectively. The top three journals with highest number of publications were: Expert Systems with Applications, International Journal of Production Research and The International Journal of Advanced Manufacturing Technology

    Proposing a new methodology for prioritising the investment strategies in the private sector of Iran

    Get PDF
    This article proposes a systematic and organised approach for group decision-making in the presence of the uncertainty involved in expert judgments as used in multi-criteria decision-making (MCDM) issues. This procedure comprises the selection of the optimum alternative with respect to the evaluation criteria under consideration, in particular to select the strategy of investing. However, the selection of the investment strategy is difficult on account of considering the numerous quantitative and qualitative parameters like benefits, opportunities, costs, and risks. However, it is possible that these parameters have a significant influence on each other. A decision-making trial and evaluation laboratory (DEMATEL), used to define the influential network of elements, can be employed to construct a network relationship map (NRM). On the other hand, according to whether the information is incomplete or unavailable, uncertainty is an inseparable part of making decision for solving the MCDM problems. Therefore, this article proposes a new hybrid model based on analytic hierarchical process (AHP), DEMATEL, and echnique for Order of Preference by Similarity to Ideal Solution (TOPSIS) techniques under fuzzy environment to evaluate the problem of the selection of the investment strategy. To achieve the aim, a three-step process is presented to solve a sophisticated problem. First, the AHP method is employed to break down the investment problem into simple structure and calculate the importance weights of criteria by using a pairwise comparison process. Second, the DEMATEL technique is applied for considering interdependence and dependencies and computing the global weights of benefit, opportunities, cost, and risk (BOCR) factors. Finally, the fuzzy TOPSIS methodology is used for prioritising the possible alternatives. To demonstrate the potential application of the proposed model, a numerical example is illustrated and investigated. The results show that the proposed model has a high ability to prioritise the strategies of investing

    Unveiling the relation between the challenges and benefits of Operational Excellence and Industry 4.0: A Hybrid Fuzzy Decision-Making Approach

    Get PDF
    Operational excellence (OpEx) is a direction toward learning and developing an excellent culture in all aspects of an organization. To reach this culture, revolutionizing activities using industry 4.0 (i4.0) technologies might be a significant empowering tool. This study aims to identify the challenges and benefits of both concepts and investigate their interrelationship to be considered in applying industry 4.0 technologies toward operational excellence. The challenges and benefits of OpEx and i4.0 are identified and finalized by reviewing the literature. The causal relations between the considered factors are extracted using the fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) method. Then, the analytical network process (ANP) is applied to determine the importance and weight of the factors (challenges and benefits of OpEx and i4.0) according to the constructed network. The findings illustrated a strong network structure between the factors. First, the causal factors included OpEx and i4.0 challenges, while the OpEx challenges also affected the i4.0 challenges. Both group challenges had a significant effect on OpEx and i4.0 benefits. This means that challenges are the causal factors to be considered in the alignment of i4.0 toward OpEx. Among the OpEx challenges, lack of strategic planning and proper infrastructure were the main influential factors. In contrast, lack of government support and undeveloped business models were identified as the main challenges of i4.0. OpEx and i4.0 concepts are reviewed, and their pros and cons are studied. Previous studies determined an interaction among these concepts. However, from a practical viewpoint, the relation between the challenges and benefits of i4.0 and OpEx was studied for the first time for their alignment

    VIKOR Technique:A Systematic Review of the State of the Art Literature on Methodologies and Applications

    Get PDF
    The main objective of this paper is to present a systematic review of the VlseKriterijuska Optimizacija I Komoromisno Resenje (VIKOR) method in several application areas such as sustainability and renewable energy. This study reviewed a total of 176 papers, published in 2004 to 2015, from 83 high-ranking journals; most of which were related to Operational Research, Management Sciences, decision making, sustainability and renewable energy and were extracted from the “Web of Science and Scopus” databases. Papers were classified into 15 main application areas. Furthermore, papers were categorized based on the nationalities of authors, dates of publications, techniques and methods, type of studies, the names of the journals and studies purposes. The results of this study indicated that more papers on VIKOR technique were published in 2013 than in any other year. In addition, 13 papers were published about sustainability and renewable energy fields. Furthermore, VIKOR and fuzzy VIKOR methods, had the first rank in use. Additionally, the Journal of Expert Systems with Applications was the most significant journal in this study, with 27 publications on the topic. Finally, Taiwan had the first rank from 22 nationalities which used VIKOR technique
    corecore