The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

Lee, Sangjae; Ahn, Hyunchul

doi:10.1016/j.eswa.2010.09.102

Cited by 13 publications

(2 citation statements)

References 36 publications

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“…This study provides insights to security researchers by suggesting the results that different controls can have different controls effectiveness, extending the studies on the controls design and security management (Chen, Kataria, & Krishnan, 2011;Fielder, Panaousisb, Malacariac, Hankina, & Smeraldic, 2016;Lee & Ahn, 2011). General and application controls result in different effects on qualities and satisfaction, which extends previous studies on the different effects of different controls (Shah et al, 2014;Silva et al, 2014;Yildirim et al, 2011).…”

Section: Contribution To Theorysupporting

confidence: 71%

Security Controls for Employees’ Satisfaction: Perspective of Controls Framework

2019

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As previous literature on the effect of controls usage on the outcome of controls (controls effectiveness) are rare, this study intends to use controls framework to explain controls effectiveness as HIS (hotel information system) quality and user satisfaction. The purpose of our study is understanding of the critical role of security controls on qualities perceived by hotel employees and the satisfaction of hotel employees using HIS based on controls framework perspective. The research model was tested using a sample of 583 respondents who have worked with HIS. General controls directly and indirectly contribute to the improvement of the satisfaction of hotel employees through their effects on qualities, while application controls indirectly affect satisfaction. Although general controls affect information and system quality, application controls influence information and service quality. The findings provide insights to the hotel industry by building a basis for designing different level for general and application controls.

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Section: Contribution To Theorysupporting

confidence: 71%

Security Controls for Employees’ Satisfaction: Perspective of Controls Framework

2019

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“…Akkoc [13] states that the advantage of hybrids is that each technique brings its own advantages. Recently, many papers [14][15][16][17] have sought to exploit the complementarities of different techniques. It has been determined that the selection of an adequate complementary combination of techniques and algorithmic concepts can be the key to achieving high performance in solving many difficult optimization problems.…”

Section: Hybrid Metaheuristicsmentioning

confidence: 99%

Hybrid Techniques of Combinatorial Optimization with Application to Retail Credit Risk Assessment

Oreški¹

2014

AIA

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Hybrid techniques of combinatorial optimization are a growing research area, designed to solve complex optimization problems. In the first part of this paper, we focus on the methodological background of hybrid techniques of combinatorial optimization, paying special attention to the important concepts in the field of combinatorial optimization and computational complexity theory, as well as to hybridization strategies that are important in the development of hybrid techniques of combinatorial optimization. According to the presented relations among the techniques of combinatorial optimization, the strategies of combining them and the concepts for solving combinatorial optimization problems, this paper presents an example of the hybrid technique for feature selection and classification in credit risk assessment. This study emphasizes the importance of hybridization as a concept of cooperation among metaheuristics and other optimization techniques. The importance of such cooperation is confirmed by the results that are presented in the experimental part of the paper, which were obtained on a German credit dataset using the hybrid technique of combinatorial optimization based on a low-level relay strategy. The experimental results show that the proposed method outperforms, on the same dataset, the methods presented in the literature in terms of the average prediction accuracy.

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Early Warning and Conflict Prevention Using Computational Techniques

Marwala

Lagazio

2011

Advanced Information and Knowledge Processing

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The hybrid model of neural networks and genetic algorithms for the design of controls for internet-based systems for business-to-consumer electronic commerce

Cited by 13 publications

References 36 publications

Security Controls for Employees’ Satisfaction: Perspective of Controls Framework

Security Controls for Employees’ Satisfaction: Perspective of Controls Framework

Hybrid Techniques of Combinatorial Optimization with Application to Retail Credit Risk Assessment

Early Warning and Conflict Prevention Using Computational Techniques

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