• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.349-360
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• 2020

The study aims to empirically examine the determinants of bank margins from Pakistan, an emerging South Asian economy. To elucidate the importance of the Pakistani banking sector, secondary data has been used, which was extracted from the annual accounts of twenty-four Pakistani scheduled commercial banks (20 conventional, four full-fledged Islamic) over a sample period of 2006 to 2017. The factors identified in the dealership model and the subsequent empirical developments in the dealership model categorized as bank-specific, diversification, regulatory, and industry concentration are analyzed by applying the most-common linear dynamic panel-data estimator, the Generalized Method of Moments (GMM) estimator, developed by Arellano and Bond (1991). The findings reveal that, among the bank-specific variables, funding cost, credit risk, managerial efficiency, market share, and operating cost are significant predictors of bank margins. For diversification variables employed in the study, both variables including net non-interest income and asset diversity are as well significant predictors of bank margins. It is also found that the market concentration variable proxied by the Herfindahl-Hirschman Index (HHI) is significantly predicting bank margins. Subsequently, one of the regulatory variables, the opportunity cost of holding reserves, and one bank-specific variable, the degree of risk aversion, are insignificant in the model.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.809-812
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• 2007

This study suggests a methodology for organizing functions of nD CAD model which 4D object is linked with cost and resource information. And the suggested model is composed of process analysis function of plant project based on visualized scenario analysis. That is, it is possible to manage effectively not only construction schedule plan, but also resource and cost information by integrating construction management information into nD CAD object. And the suggested model can be utilized as information of a effective decision-making tool through analyzing of optimal process scenario and sharing of an analyzed information.

• Journal of Korea Society of Digital Industry and Information Management
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• v.6 no.1
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• pp.197-209
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• 2010

Supply Chain Management have been introduced and used as strategic weapon for many companies. Large investments in the SCM was made, but many companies are not fully getting the performance from the systems. The purpose of this study is to find the determinants of SCM difussion and performance in the perspective of Innovation and Information technology Acceptance. In developing the research model, The model consists of eight independent variables(Management support, Decision Making concentration, IS strategy, training education, relative advantage, technological compatibility, task compatibility, SCM cost), two moderator variables(interorganizational and intraorganizational diffusion), three dependant variables(efficiency, effectiveness, strategic advantage).

• Journal of Industrial Technology
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• v.19
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• pp.287-291
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• 1999

This study was performed to develop an information processing system for the sound conservation of soil and groundwater resources. The system contains the geographic spatial information system(GSIS), and the numerical model of groundwater flow and contamination. Numerical models (MODFLOW, MOC3D, MT3D, PMPATH, PEST, UCODE) and GSIS(ArcView) were integrated for the construction of an integrated management system of subsurface environment. The developed system was applied to the management of three mineral water companies located in clean mountain area. The impact of pumping over the overall catchment basin was modeled using the developed system for the decision of future management criteria.

• Industrial Engineering and Management Systems
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• v.3 no.1
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• pp.71-77
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• 2004

In this paper, the difficulties involved in analyzing and designing a management system for product development are discussed with reference to reducing the impact of products on the environment. We propose some models and methods to analyze information behavior in the process of product development based on a fusion model which integrates the assessments of users’ needs, the environment, and available technology. These models and methods are subsequently applied to the development of a new packaging material. The results of this case study allow us to identify effective information for the design of a management system for product development to reduce the impact of products on the environment.

• Journal of KIISE:Software and Applications
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• v.35 no.2
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• pp.105-117
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• 2008

Generally, project audit provides the service which accomplishes a project successfully by checking the management activity of information system project, indicating a controversial point and reflecting the improvement issues based on project audit check list. In addition, the projects are managed by using the project management maturity model based on process. However, the effect is not big as we except projects performance of real world. In this paper. to solve these problems, the project management maturity evaluation model which is connected with project audit check list and organizational maturity model survey items is designed. Thus, we propose the model which can improve the project performance through the project evaluation of customer's project and development part and the evaluation of organization level as we design that it is possible to not only audit the project but also evaluate it before and after the project.

• Convergence Security Journal
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• v.20 no.3
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• pp.39-46
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• 2020

In order to protect the business information of the enterprise, the company is engaged in various information security activities, such as establishing an information security management system, establishing and operating an information security system, checking vulnerabilities and security controls. It is an enterprise information security governance that organizes various information security activities for enterprise business, and it needs to be systematized to operate them effectively. In this study, to systematize the enterprise information security governance, we would like to explore the existing Enterprise Information Portal(EIP) model and propose an Enterprise Information Security Portal(EISP) model based on it. The Enterprise Information Security Portal(EISP) model provides an integrated environment for supporting the activities of the information security departments by systemizing the enterprise information security governance, which is a variety of information security activities of the enterprises, so that the information security activities of the enterprises can participate directly from CEO to executives and employees, not just from the information security departments.

• Asia pacific journal of information systems
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• v.4 no.2
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• pp.131-164
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• 1994

A contingency model of outsourcing is developed from the information systems (IS) literature and strategic management literature in order to assess the following question: What factors influence change in the extent to which an organization outsources IS functions? Based on the literature, this study identifies four IS factors-gaps in information quality, IS support quality, IS staff quality, and IS cost effectiveness-and three organizational factors-the gap in financial performance, strategic orientation, and the role of information technology in an organization-that influence the change in degree of outsourcing. These factors are hypothesized to influence the change in the extent of an organization's outsourcing of IS functions. From a mail survey of 188 top IS executives in U.S. companies, the results of analysis of covariance and bivariate correlational and multivariate regression analyses provide the following major findings: (a) This study found support for the proposed research model. (b) The change in the degree of IS outsourcing is determined by gaps in information quality, IS support quality, IS cost effectiveness, and financial performance and by the role of IT among IS and organizational factors.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1997.10a
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• pp.101-104
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• 1997

Providing information on corporate level decision making for multiple decision makers in a consistent way is essential in Decision Support Systems. However, since the decision makers have different background and knowledge, the models used by them are also different in representation models. This makes the decision makers require a lot of efforts for model integration in an integrated decision making. The purpose of this paper is to propose an integration mechanism for synthetic use of multi-abstraction level decision making models. The proposed integration mechanism consists of model interpretation phase, model transformation phase and model integration phase. Specifically, the model transformation phase is divided into model tightening mode which gather information to makes a model transformed into upper level model, and model relaxing mode which makes lower level model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.7 no.4
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• pp.7-14
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• 2011

Infinite failure NHPP models presented in the literature exhibit either constant, monotonic increasing or monotonic decreasing failure occurrence rate per fault (hazard function). This infinite non-homogeneous Poisson process is model which reflects the possibility of introducing new faults when correcting or modifying the software. In this paper, polynomial hazard function have been proposed, which can efficiency application for software reliability. Algorithm for estimating the parameters used to maximum likelihood estimator and bisection method. Model selection based on mean square error and the coefficient of determination for the sake of efficient model were employed. In numerical example, log power time model of the existing model in this area and the polynomial hazard function model were compared using failure interval time. Because polynomial hazard function model is more efficient in terms of reliability, polynomial hazard function model as an alternative to the existing model also were able to confirm that can use in this area.