• Journal of the Korean Society for information Management
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• v.6 no.2
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• pp.45-68
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• 1989

A contingency theory is employed to design off ectively a library system. We examine the influence of the contingency variables ill the library system. It is shown that the adoption of the contingency variables nay improve the efficiency of the library system.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1621-1629
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• 2016

This paper studies Bayesian pooling for analysis of categorical data from small areas. Many surveys consist of categorical data collected on a contingency table in each area. Statistical inference for small areas requires considerable care because the subpopulation sample sizes are usually very small. Typically we use the hierarchical Bayesian model for pooling subpopulation data. However, the customary hierarchical Bayesian models may specify more exchangeability than warranted. We, therefore, investigate the effects of pooling in hierarchical Bayesian modeling for the contingency table from small areas. In specific, this paper focuses on the methods of direct or indirect pooling of categorical data collected on a contingency table in each area through Dirichlet priors. We compare the pooling effects of hierarchical Bayesian models by fitting the simulated data. The analysis is carried out using Markov chain Monte Carlo methods.

• Information Systems Review
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• v.2 no.1
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• pp.133-149
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• 2000

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.224-227
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• 2004

As a project progresses, it is well known that construction manager has to define the contingency for the expected project cost, which is used as a buffer for uncertainty. In this study, we mention uncertainty as the amount of likelihood that is difficult or impossible to predict project cost. From the completed work package, we obtain the true cost value, and this information is technically good data for estimating the realistic contingency of work packages to be accomplished. Based upon this historical information, construction manager recomputes the contingency for the remaining works. Conditional probability theory is often useful for re-estimating one of the remaining project progress as the true cost of the completed works can be different from the planned cost. As a project is progressing, true value is really important to predict the realistic project budget and to decrease the uncertainty. In this study, we gave applied conditional probability theory to estimating project contingency supposing a project that consists of fire work packages, provide the fundamental framework for setting and controlling project contingency.

• Asia pacific journal of information systems
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• v.3 no.1
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• pp.190-213
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• 1993

The information revolution is sweeping through the global economy. Information technology is transforming the structure of competition. The successful implementation of information technology is dependent on the effectiveness of information systems planning. However, it is very difficult to select an appropriate methodology for information systems planning given an organization situation. A contingency model is proposed on the selection of an appropriate approach depending upon the organizational situation. Although the contingency framework is not yet theoretically proved, the approaches suggested here turned out to be of benefit to the cases of the two real world projects studied. These approaches attempt to combine Business Systems Planning of IBM and Critical Success Factors in two different manners to make planning process more efficient and effective.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.1072-1082
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• 2005

This study develops a contingency fit between client IT capability and vendor competence in IS outsourcing relationship by integrating both the contingency theory in organization and the relationship theory in IS outsourcing. By adopting a fit as a moderation, the relationship intensity of IS outsourcing is hypothesized to be influenced by the fit between client IT capability and vendor competence, thereby leading to the success of outsourcing. The testing data was obtained from 20 IS outsourcing projects from both clients and vendors in Korea. The research model proposed in this study was then tested using the structural equation model (SEM). As expected, the result shows that when there is a fit between client IT capability and vendor competence, higher level of relationship intensity and outsourcing success exhibits. The findings have significant impactions for further research and practice.

• Communications for Statistical Applications and Methods
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• v.10 no.2
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• pp.305-317
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• 2003

We suggest methods to measure the changes in $x^2$ statistic when a row is deleted from a two-way contingency table. The influence function is extended and the deletion method is applied. Two examples are presented and we compare the results obtained from the influence function method and the deletion method.

• Communications for Statistical Applications and Methods
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• v.10 no.3
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• pp.997-1005
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• 2003

We can use the logistic model for categorical data when the response variables are binary data. In this paper we consider the problem of constructing the confidence intervals for logistic model in I${\times}$J${\times}$2 contingency table. These constructions are simplified by applying logit transformation. This transforms the problem to consider linear form which called the logit model. After obtaining the confidence intervals for the logit model, the reverse transform is applied to obtain the confidence intervals for the logistic model.

• Journal of the Korean Statistical Society
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• v.33 no.1
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• pp.129-147
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• 2004

For square contingency tables with nominal categories, this paper proposes a measure to represent the degree of departure from the quasi-symmetry (QS) model and the Bradley-Terry (BT) model. The measure proposed is expressed by using the Cressie and Read (1984)'s power-divergence or Patil and Taillie (1982)'s diversity index. The measure lies between 0 and 1, and it is useful for comparing the degree of departure from QS or BT in several tables.

• Asia pacific journal of information systems
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• v.5 no.2
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• pp.177-197
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• 1995

In a study involving 52 large organizations in the savings institutions industry, the relationship between information systems technology (IST) structure and competitive strategy was investigated based on structural contingency theory. Structural contingency theory argues that organizational performance is contingent on the congruence between structure and contingent factors. Competitive strategy is considered to be the most important contingent factor among organizational context variables. Two dimensions of IST structure and three types of competitive strategy were employed to test a contingency model. It was found that enhanced congruence between IST structure and competitive strategy was associated with higher competitive advantage. The structural dimension significantly associated with the "defender" strategic stance was more centralized and more integrated application of IST, while the structural dimension significantly associated with "prospector" positioning was more decentralized and less integrated application of IST.