ANP application for evaluating Turkish mobile communication operators

Tosun, Onur Kemal; Güngör, Anıl Evrim; Topçu, Y. İlker

doi:10.1007/s10898-007-9257-7

Cited by 10 publications

(6 citation statements)

References 16 publications

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“…This factor have not mentioned as important factor in previous studies. The second important factor is word of mouth with priority of 0.1582.The importance of this factor has been investigated in previous works [7,8]. This reveals that mobile communication operator should attempt to be customer-centric for achieving customer satisfaction because both sub-criteria customer satisfaction and word of mouth imply the important role in customer-centric perspective.…”

Section: Resultsmentioning

confidence: 98%

“…Effective customer management is becoming increasingly important. Understanding and analyzing customer preference in a scientific way will be a potential competitive advantage for the existing operators as well as new-comers [7].…”

Section: Literature Reviewmentioning

confidence: 99%

“…There are several studies which concern with evaluating telecommunication and using Multi Criteria Decision Making (MCDM) techniques. Tosun et al [7] presented a decision model, based on ANP, in order to evaluate and rank the GSM market in Turkey. A quantitative analysis was conducted with the customers in order to assess the importance of the related factors and forecast the market shares of the Turkish mobile communication operators.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the Iran Mobile Communication Operators by Analytical Network Process (ANP)

F¹,

Keramati²

2013

J Telecommun Syst Manage

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The arrival of the mobile telecommunications service industry and its rapid and widespread growth is the most significant developments in the fields of communication. The aim of this study is to propose a decision-making structure to determine the appropriate Global System for Mobile Communications (GSM) operator. There are varieties of driving factors involved in choosing the most suitable GSM's operator, and all these factors have positive and negative interactions with each other; in this regard, we apply an appropriate multi-criteria decision-making method. Due to the interdependency between these criteria, we use Analytic Network Process (ANP) that generalizes Analytic Hierarchical Process (AHP) by considering the interdependencies among factors. The results of this method illustrate that customer satisfaction and word of Mouth are the most important factors in selecting GSM's operators in Iran. The proposed structure provides valuable insight into the process of GSM's operator selection for GSM managers and practitioners. It can be applied as a practical assessment tool providing an evaluation of GSM operator's market share and identifies areas of weakness that negatively affect success in market share.

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Section: Resultsmentioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating the Iran Mobile Communication Operators by Analytical Network Process (ANP)

F¹,

Keramati²

2013

J Telecommun Syst Manage

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“…SuperDecisions software was used for ANP analysis to make decisions with dependence and feedback relations [31]. These feedback and dependence relations can be in different levels of hierarchy but also they can be between elements at the same level [32]. The network hierarchy model was developed with clusters, nodes, and node connections as shown in Figure 4 [10].…”

Section: Pairwise Relation and Comparisonmentioning

confidence: 99%

Framework Development for Dynamic System Validation

Sezer

Ocak

2020

Mugla Journal of Science and Technology

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Validation is one of the most important stages of modeling, and it is a necessity before utilizing the model for further analyses. Especially for the studies that start with conceptual models, the validation process is more complex than others. In this study, we used a multi-methodology approach to develop a framework to support the conceptual model development and validation in System Dynamics (SD) modeling. In the proposed framework, we integrated methods from SD methodology with methods from the Analytic Network Process (ANP). The proposed framework was then used for clinical laboratory performance analysis. The purpose was to use the proposed framework to conduct structural validity of the SD model, to prioritize Clinical Laboratory (CL) performance indicators, and capture their relations. Results indicate that the proposed framework can be used to generate an enriched and validated conceptual model for a CL performance system that can be useful for healthcare decision-makers. Also, the proposed multi-methodology framework can be applied to any complex systems to validate the conceptual models.

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“…Yalcin and Akyurek's [14] study use pairwise comparisons between factors for flood control. Analytical Hierarchy and Analytical Network Models are also frequently used in factor prioritization [16].…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks

Altay

Kayakutlu

2011

Procedia Computer Science

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Factor or criteria prioritization is essential for decision making and planning. In most areas in decision making, integrating the related literature yields an exuberance of criteria which leads a robust decision. Yet, an excess number of criteria may handicap decision making or evaluations in terms of computational time and complexity. In these circumstances, decreasing the number of factors in exchange for a negligible amount of knowledge can emancipate the decision maker yet does not affect the quality of the decision. This elimination can be conducted through qualitative methods such as interviews or quantitative methods. However, quantitative methods are more trustworthy since qualitative methods can be deceptive due to the perceptions of the interviewee. Furthermore, working with larger groups is more prone to neutrality in terms of group thinking. On the subject of innovative power and risks, the literature offers 48 criteria depending on the industry, size or demographics of related companies. Prioritizing and working with these criteria for their decision making applications becomes computationally expensive, especially when embedded in more complex algorithms. In this study, 48 criteria will be reduced using Fuzzy Cognitive Maps and it is believed to provide a sufficient number of criteria with a negligible loss of information and comparisons will be conducted.

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ANP application for evaluating Turkish mobile communication operators

Cited by 10 publications

References 16 publications

Evaluating the Iran Mobile Communication Operators by Analytical Network Process (ANP)

Evaluating the Iran Mobile Communication Operators by Analytical Network Process (ANP)

Framework Development for Dynamic System Validation

Fuzzy cognitive mapping in factor elimination: A case study for innovative power and risks

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