AIS 성과 평가에 있어 시스템 사용과 만족의 매개효과 분석

최승호 한국산업경제학회 2007 산업경제연구 Vol.20 No.5

본 연구의 목적은 회계정보시스템의 최종 사용자(end-user)를 대상으로, 회계정보시스템의 특성(정보품질, 시스템품질, 사용자품질)과 조직의 성과와의 관계에서 시스템사용과 사용자만족과의 인과 관계를 보다 구체적이고 체계적으로 분석함으로써 회계정보시스템 성과와의 조절변수로서의 매개효과를 실증적으로 분석해보는데 있다. 본 연구의 연구대상은 우리나라 상장기업에 근무하는 직원 중 회계담당자 측면에서 시스템에 접근하여 시스템을 이용하는 직원이었으며, 총 558부의 설문지 중 88부를 최종 유효 표본으로 확정한 후, LIEREL 8.32를 사용하여 공분산구조분석을 하였다. 실증분석결과, 첫째 회계정보시스템 정보 품질이 시스템 사용에 매우 유의한 영향을 미치는 것으로 나타났으며, 둘째 시스템 사용이 사용자 만족에 유의한 영향을 미치는 것으로 나타났으며, 셋째 시스템 사용이 조직 성과에 유의한 영향을 미치는 것으로 나타났으며, 마지막으로 사용자 만족이 조직성과에도 매우 유의한 영향을 미치는 것으로 나타났다. Since the importance of information quality as an improving quality of the accounting information system have been raised at early 1980's, many studies have shown a casual relationship between the accounting information system and system performance evaluation. The purpose of this paper is to find out the relationships between performance and user's satisfactions, system usage, AIS Qualities, using the mediating variables such as users' satisfactions or system usage, A structural model and nine hypotheses were developed regarding the relationships. Based on the collected data from 88 accounting practice employees, the structural model was analyzed with LISREL 8.32. The result can be summarized as follows. First, the greater the accounting information system's quality, the greater AIS usage and the user's satisfaction. Second, the greater the AIS usage, the greater the user's satisfaction. Third, the greater the AIS usage, the greater the system performance. Finally, the greater the user's satisfaction, the greater the system performances.

Evaluation of ^(50)Cr, ^(52)Cr, ^(53)Cr, ^(54)Cr Neutron Cross Section Data for Energies up to 200 MeV

P. Pereslavtsev,A. Konobeyev,U. Fischer 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

This work is on the evaluation of high energy general purpose neutron crosssection data for the stable isotopes ^(50)Cr, ^(52)Cr, ^(53)Cr, ^(54)Cr. The GNASH and TALYS codes wereapplied for the nuclear reaction calculations that involve neutrons,protons, deuterons, tritons, hellions, alphas and photons in the energyrange from 1 keV up to 200 MeV. The main focus of this work was on thequality of the evaluated data and their representation in ENDF filesprepared in accordance with ENDF-6 format rules. Global optical modelpotentials were used for all particles in the calculations. TheGeometry-Dependent Hybrid preequilibrium model (GDH) was included in TALYSfor a better description of the complex particle emissions. The best fit ofthe experimental data was achieved by adjusting the nuclear modelparameters. The data files include also newly evaluated resonance parametersand their covariances. Covariance data for all reaction channels wereevaluated by the Unified Monte Carlo Approach. The new structure of theevaluated data files is discussed.

Modern Nuclear Data Evaluation: Straight from Nuclear Physics to Applications

A. J. Koning,D. Rochman 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

The nuclear data field comprises differential measurements, theory development, nuclear model codes, resonance analysis, evaluation, ENDF formatting, data processing and integral validation.A software system, built around the TALYS code, will be presented in which all of these essential nuclear data components are seamlessly integrated into one approach. This system brings back nuclear data evaluation to its essence: The starting information is no longer an ENDF-6 file, but a set of selected differential experiments, resonance parameters and a nuclear model input file.After this, computer power does the rest.The implications of this are unprecedented. A few are:\begin{itemize}\item Complete ENDF-6 nuclear data libraries, such as TENDL, including covariance matrices, for many isotopes, particles, energies, reaction channels and secondary quantities. All isotopic data files are mutually consistent and will soon rival those of the major world libraries.\item Exact uncertainty propagation from basic nuclear physics to applied (reactor) calculations based on a Monte Carlo approach (``Total'' Monte Carlo).\end{itemize}

The GENEUS Project - Development of an Evaluation Tool

H. Leeb,St. Gundacker,D. Neudecker,Th. Srdinko,V. Wildpaner 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

GENEUS is an acronym for 'General Nuclear Data Evaluation and Uncertainty System'. The project aims at the development of a software toperform nuclear data evaluations of cross section data within the framework ofBayesian statistics. The evaluation procedure starts with the generation ofthe prior on the basis of a given set of nuclear models. Especially, thea-priori covariance matrices due to parameter uncertainties and model defectsare determined employing the recently developed formalisms. After selection ofthe experimental data and the generation of covariance matrices associatedwith experiments a Bayesian procedure is employed to obtain evaluated datafiles, which are provided in tabular and ENDF-formatted form. Special care istaken to include correlations between experiments and a proper treatment ofsystematic errors. GENEUS is planned as an almost automatic evaluation packagewith a user-friendly handling. As a special feature it includes asoftware, which facilitates the selection of experimental data and thegeneration of associated covariance matrices. The modular concept of GENEUSallows the inclusion of up-to-date model codes, e.g. TALYS-1.0. In thiscontribution we present the concept of the code and its basic numericalimplementation, which in its first version is restricted to neutron-inducedcross sections. The specific features and capabilities of the code package areshown by the example of successfully performed evaluations with this first version ofGENEUS.

Bayesian Based Uncertainties of Neutron-Induced Reaction Cross Sections of Mn-55

H. Leeb,St. Gundacker,D. Neudecker,Th. Srdinko,V. Wildpaner 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

The extreme conditions in a future fusion reactor require a careful selection of materials with regard to activation and aging. Of particular interest for a proper choice is the availability of high quality evaluated nuclear cross section data files for structural materials which comprise reliable covariance matrices and cover the energy range up to at least 60 MeV, the envisaged end of the relevant spectrum of the future IFMIF facility. In this contribution emphasis is given to the generation of cross section covariance matrices for a new evaluated data file for neutron-induced cross sections of Mn-55 between 1 and 150 MeV. The evaluated file takes into account experimental data of the EXFOR data base and is generated by Bayesian statistics via the code GENEUS. Due to the scarcity of experimental data beyond 20 MeV, the prior, based on the nuclear model set of TALYS-1.0, plays an essential role for the reliability of the file in this energy regime. Therefore much effort was devoted to an optimized choice of the model parameters for the range 20 ≤ Z ≤ 28. Employing the recent formalisms a prior including parameter uncertainties and model defects was evaluated by GENEUS and used as a starting point of the evaluation process. In addition a careful analysis of experimental data was performed to estimate the covariance matrices of the experiments, which are used by GENEUS in the Bayesian procedure. The quality and the specific features of the evaluated data file and associated uncertainties are discussed.

Comparison of Covariance Matrices Obtained by Different Methods

D. Neudecker,St. Gundacker,Th. Srdinko,V. Wildpaner,H. Leeb 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

At present significant efforts in nuclear data evaluation are focused on the generation of evaluated data files which include also uncertainty information in form of covariance matrices. Several methods for the generation of covariance matrices have been worked out, ranging from Monte Carlo variation of model parameters to detailed Bayesian techniques. In this contribution cross section covariance matrices for neutron-induced reactions on Pb-208 obtained by Monte Carlo variations of model parameters are compared with the corresponding matrices obtained by strict Bayesian techniques as implemented in the code package GENEUS. Both evaluations rely on the same nuclear model, <i>i.e.</i>, TALYS-1.0, with the same parameters and account for a similar set of experimental data. Thus the comparison directly reflects the features of the different methods and allows conclusions on the reliability of the extracted uncertainty information.

System of Covariance Data Evaluation at China Nuclear Data Centre-COVAC

R. R. Xu,T. J. Liu,J. S. Zhang,Z. J. Sun 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

To determine the uncertainty of neutron cross sections for modern nucleardata application, a new evaluation system, COVAC is being developed at ChinaNuclear Data Centre (CNDC). In COVAC, experimental data were firstlypre-analyzed and handled via processing tools. The sensitivities oftheoretical model parameters were analyzed by a special designedsubsystemSEMAW which offers a platform to obtain parameter sensitivities fordifferent nuclear reaction codes. In addition the generalized least-squaresmethod (GLS) and Bayesian method were both contained in COVAC to generatethe recommended covariance The experimental and theoretical uncertaininformation can be included in the covariance by each of the two methods.The outputs are formatted in ENDF-6. So far, COVAC is suitable to generatethe covariance files for structure and fission nuclei in the fast neutronenergy range, and n+^(48)Ti was taken to illuminate the wholeprocedure.

Performance Evaluation of Four Different Land Surface Models in WRF

이종범,김재철,Miloslav Belorid,Peng Zhao 한국대기환경학회 2016 Asian Journal of Atmospheric Environment (AJAE) Vol.10 No.1

This study presents a performance evaluation of four different land surface models (LSM) available in Weather Forecast Research (WRF). The research site was located in Haean Basin in South Korea. The basin is very unique by its geomorphology and topography. For a better representation of the complex terrain in the mesoscale model were used a high resolution topography data with a spatial resolution of 30 meters. Additionally, land-use layer was corrected by ground mapping data-sets. The observation equipments used in the study were an ultrasonic anemometer with a gas analyzer, an automatic weather station and a tethered balloon sonde. The model simulation covers a four-day period during autumn. The result shows significant impact of LSM on meteorological simulation. The best agreement between observation and simulation was found in the case of WRF with Noah LSM (WRF-Noah). The WRF with Rapid Update Cycle LSM (WRF-RUC) has a very good agreement with temperature profiles due to successfully predicted fog which appeared during measurements and affected the radiation budget at the basin floor. The WRF with Pleim and Xiu LSM (WRF-PX) and WRF with Thermal Diffusion LSM (WRF-TD) performed insufficiently for simulation of heat fluxes. Both overestimated the sensible and underestimated the latent heat fluxes during the daytime.

Computational Approach for Evaluation of Nuclear Data IincludingCovariance Information

A. Yu. Konobeyev,U. Fischer,P. E. Pereslavtsev 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23

A computational approach was developed for the evaluation of nuclearcross-section data taking into account experimental data and results ofnuclear model calculations. A set of computer programs, called BEKED, wasdeveloped to perform the processing of experimental data, provide the runsfor the cross-section and covariance data calculations, and perform theglobal evaluation of nuclear data. The calculation of covariances arecarried out using different approaches including the generalizedleast-squares method and the Monte Carlo method developed by D.Smith, whichtakes into account both experimental and nuclear model uncertainties.Presently, the BEKED approach integrates the nuclear model codes TALYS andALICE/AS, as well as other codes employing e.g. the intranuclear cascadeevaporation model.

고객지향적 e-SERVQUAL 요인이 고객 만족도와 충성도에 미치는 영향

김병주(Byoungjoo Kim),안장자(Jangja Ahn),우석구(Seokku Woo) 한국열린교육학회 2008 열린교육연구 Vol.16 No.3

  이 논문은 전자매체를 통해서 제공된 교육행정서비스가 얼마나 고객의 욕구나 수요에 부합하도록 이루어지고 있는지를 고객의 입장에서 분석ㆍ평가하였다. 연구 방법으로는 잠재변수들간의 관계구조를 확인하기 위해 구조방정식모형(covariance structure analysis) 방법을 사용하였다. 분석 결과 외생적 잠재변수간의 영향 관계에서는 모두 통계학적으로 유의미한 관계를 보였고, 그 영향관계에 있어서도 모두 정(+)의 상관관계가 나타났다. 그리고, 외생적 잠재변수와 내생적 잠재변수간의 영항관계 분석에서는 정확성을 제외한 모든 요인들이 내생적 잠재변수인 만족도에 영향을 미치는 것으로 나타났다. 행정이 보다 더 나은 고객만족 질을 높이기 위해서는 신속성, 정확성의 확보를 다른 요인에 우선하여 강화ㆍ보완시킬 필요가 있으며, 그리고 신뢰성, 개방성, 편의성, 대응성의 확보 수단에 있어서도 지속적인 정책적 방안을 마련하는데 관심을 기울여야 한다.   The purpose of this study is to analyze and evaluate educational administration service provided through electronic media in terms of customer. In order to identify the structure of relation among latent variables, covariance structure analysis method was used.<BR>  All relations among external latent variables were significant statistically, and they all show positive correlations. In analysis on relations among external latent variables and internal latent variables, all factors except accuracy affect satisfaction as a external latent variable statistically.<BR>  In order to raise the quality of customer satisfaction, educational administration should more secure quickness and accuracy than any other factors. And more concern on policy for securing trust, openness, convenience, and correspondence continuously.