The Small and Medium-sized Enterprises Performance Evaluation Model Based on DEA and AHP Method

Sun, Qiong; Gao, Zhengran

doi:10.11591/telkomnika.v11i11.3470

“…The Analytic Hierarchy Process [10], a combination of quantitative and qualitative analysis methods, is proposed by the famous American Operations Research Professor Saaty in the early 1970s. This method is more efficiently used to solve multiple complex problems.…”

Section: Methodsmentioning

confidence: 99%

Information Security Risk Assessment Based on Analytic Hierarchy Process

He¹,

An²

2016

IJEECS

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Keywords: risk assessment, Analytic Hierarchy Process, information security IntroductionInformation security risk management is the overall process that identifies and analyzes the risk of being exposed to the organization, provides an assessment of the potential impact on the business, and takes measures to eliminate or reduce the risk to an acceptable level [1]. Information security risk assessment is a stage of information security risk management. Information security risk management depends on the results of risk assessment to determine the subsequent risk control and approval activities. There are many risk assessment methods, which can be divided into three categories: the qualitative risk assessment methods, quantitative risk assessment methods, comprehensive assessment methods which combine qualitative with quantitative assessment methods [2]. In reference [3], the key issues during the process of information security risk assessment are proposed and the quantitative methods of risk assessment are studied. In reference [4], a quantitative method based on expert judgments, fuzzy logic and analytic hierarchy process is used to evaluate the impact and possibility values for specific threats. In reference [5], the Bayesian network is introduced into information security risk assessment system to establish the risk analysis model. In reference [6], the information security risk assessment approach based on two stages decision model with grey synthetic measure is proposed to solve the fuzziness and uncertainty from many aspects.However, there are too many elements in the process of information security risk assessment, which makes the calculation of risk value more complicated and cumbersome. How to find the more important elements of assessment from many elements to simplify the calculation of risk value and provide a strong basis for taking relevant measures, which is a problem needs to be solved. In addition, the reliability of the risk assessment results can not be guaranteed only through a single qualitative or quantitative assessment method due to the fact that the qualitative assessment methods are too subjective and rough and some risk elements may be misunderstood or misinterpreted in the process of quantitative assessment, which will have great influence on the accuracy of the evaluation results [7].By AHP, the relative weight of elements related to information security risk can be calculated. Then the optimal indicators, which can simplify the calculation of risk value, can be

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“…Assuming the size of the comparison matrix (A) is n × n where n denotes the number of criteria being compared to a specific goal or parent criteria. The components of the matrix are a ij and these elements need to be transitive and reciprocal in order to make the matrix consistent (Dweiri and Faris, 2006;Qiong and Gao, 2013…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

“…The value of CR determines the consistency of the judgement. The CR value of less than 0.10 is considered acceptable or else revision of the values of a ij is recommended (Dweiri and Faris, 2006;Qiong and Gao, 2013). AHP has been extensively used to resolve MCDM problems in various spheres of life.…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

Analysis of factors affecting customer satisfaction in e-commerce applications using Condorcet - AHP method

Bhattacharya

¹

,

Raju

²

2019

IJIPT

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The paper proposes a new approach of combining Condorcet voting theory with analytic hierarchy process (AHP) to analyse various criteria affecting customer satisfaction in e-commerce systems. AHP method has been successfully used to resolve MCDM problems in various sectors of human life. But the major weakness of AHP lies in the use of subjective assessment based importance scale point which leads to judgemental errors in results. Condorcet voting and quantitative ratio based method is used to derive the importance of the criteria affecting customer satisfaction eliminating chances of such bias in the traditional AHP technique. The consistency ratio values derived provide support for enhanced accuracy and consistency of the results. The structured analysis of the criteria in this paper thus provide immense insight which would benefit business personnel's to frame strategies pertinent to the most significant criteria impacting customer satisfaction for the overall development of e-commerce systems.

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“…The AHP method uses the technique of "measurement through pairwise comparisons relying on the judgements of experts to derive priority scales" (Saaty, 1990;Russo and Rosaria, 2015;Al-Harbi, 2001). The computation of the AHP method consists of seven major steps as enlisted below (Kubler et al, 2016;Qiong and Gao, 2013):…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

Analysis of factors affecting customer satisfaction in e-commerce applications using Condorcet - AHP method

Bhattacharya

¹

,

Raju

²

2019

IJIPT

0

View full text Add to dashboard Cite

The paper proposes a new approach of combining Condorcet voting theory with analytic hierarchy process (AHP) to analyse various criteria affecting customer satisfaction in e-commerce systems. AHP method has been successfully used to resolve MCDM problems in various sectors of human life. But the major weakness of AHP lies in the use of subjective assessment based importance scale point which leads to judgemental errors in results. Condorcet voting and quantitative ratio based method is used to derive the importance of the criteria affecting customer satisfaction eliminating chances of such bias in the traditional AHP technique. The consistency ratio values derived provide support for enhanced accuracy and consistency of the results. The structured analysis of the criteria in this paper thus provide immense insight which would benefit business personnel's to frame strategies pertinent to the most significant criteria impacting customer satisfaction for the overall development of e-commerce systems.

show abstract

The Small and Medium-sized Enterprises Performance Evaluation Model Based on DEA and AHP Method

Cited by 3 publications

References 8 publications

Information Security Risk Assessment Based on Analytic Hierarchy Process

Information Security Risk Assessment Based on Analytic Hierarchy Process

Analysis of factors affecting customer satisfaction in e-commerce applications using Condorcet - AHP method

Analysis of factors affecting customer satisfaction in e-commerce applications using Condorcet - AHP method

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