As the management and preservation of the environment become an important social issue, information required to support environmental task is required. So, there is an increasing demand for environmental information and appropriate systems to manage it. The vast volume of environmental data is distributed in different knowledge domains and systems. Environmental data objects have the complex structure containing environmental quality data and attribute data. Environmental information systems must be able to address these properties. This research has aimed at constructing well-defined schema design of environmental data, and making system architecture that environmental data kept by authorities should be made available to the public user. There are 3 major components in environmental information systems architecture ; User interface, Catalog libraries, Communication Provider. Web browsers provide consistent and intuitive user interfaces on Internet. The communication provider is a collection of diverse CGI functions. The main roles of the CGIs are to build interfaces between the Web, databases. Catalog libraries is libraries of various matadata including administration matadata. Administration matadata support the environmental administration and the managerial aspects of environmental data rather than explain a database itself or its properties.

There has been a complaint that current editorial and refereeing system of the traditional journal systems has something to be desired due to long time lag between submission and publication, improper(unfair in some sense, because no communication is allowed between reviewers and authors) review of submitted papers sometimes, and so on. This paper introduces a Web-Based Paper Review Support System, called WebReview, The system helps to reduce the time lag and allows reviewers and authors to communicate anonymously to clarify the research results, if there is any ambiguity. WebReview is implemented in Java, using Oracle as an underlying DBMS, to capture interactions between users and the system.

This study attempts to draw a blueprint of risk analysis for Information Systems (IS). We introduce two main variables for measuring IS risk - business-impact intensity and IS-vulnerability index - through the investigation of information characteristics, business processes and human-related factors. IS-vulnerability index consists of two factors such as degree of openness and degree of preparedness to the threats. Based on these factors, we built two integrative frameworks for risk analysis and management: One is a conceptual framework to enhance the understandability of IS risk itself; the other is an integrative framework to improve the managerial insight of overall IS risk. We then conducted a field study to empirically validate the proposed framework using a structural equations modeling method. We found that IS maturity and business-impact intensity were positively correlated to degree of openness to the threats, while IS maturity was negatively correlated to degree of preparedness to the threats.

The explosive growth of the Web is providing end-users access to ever-increasing volumes of information. The resources of legacy systems and relational databases have also been made available to the Web browser, which has become an essential business tool. Recently, model management on the Internet/Web is also proposed with its conceptual design or prototypical system like DecisionNet and DSS Web. However, they are also suffering from the same symptoms as the Web, Although we can identify the elements of a page with HTML tags and (declare) the relationships among the various document elements, they are semantically opaque to computer systems and have no domain-specific meaning. However, HTML is not extensible, so developers are forced to invent convoluted, non-standard solutions for embedding and parsing data. Extensible Markup Language (XML) is a simplified subset of SGML that has many benefits for folks who want to improve structure, maintainability, searchability, presentation, and other aspects of their document management. This paper proposes a structured markup language for model representation and management on the Web as an XML application. The language is based on a conceptual modeling framework, Object-Oriented Structured Modeling (OOSM), which is an extension of the structured modeling.

Some simulation tools have been developed to support business process reengineering. These tools can be used to not only analyze an as-is model of the existing process but also assess the potential value and feasibility of to-be models. But most of them are restricted to analyzing and redesign of the workflow only. Little attention is paid to the organization of people and their roles. This paper Presents a new methodology for business process simulation modeling and analysis. The methodology is based on the concepts of roles and customer-supplier chains. So the proposed methodology allows for tracking people and their roles affected by reengineering the business process. It enables one to analyze and evaluate not only workflow, but roles that are part of the flow. This paper developed a simulator to systematically construct simulation models and conduct simulations easily and efficiently. A case study is also presented as an illustrative example.

It is assumed that employees' ethical judgements and attitudes in handling personal and organizational information differ, depending upon their hierarchical ranks in organizations and types of information. Therefore we investigated how differently employees at different ranks judge hypothetical behaviors(or situations); their manner of handling various types of information in their daily activities in business organizations. Sixteen hypotheses based on combinations of 3 ethical areas and 5 information types were developed and tested. We found that three management ranks have shown significantly different ethical attitude about i)the accessibility to strategic planning and managerial information and ii)the property of managerial, operational and informal information. This research can help organizations to design better education programs and ethical codes to guide employees who process sensitive information.

As the first step to information security, the security policy and organizational control need to be established. The purpose of this study is to investigate the policy and management of information security of five major Korean business groups. The results of case study on five giant groups can be summarized as follows. There exists a basic policy for information security. But it is outdated and not realistic in the present. The security audit and education need to be upgraded. It is also necessary to use security tools actively. The security level is low in companies which do not have independent information security divisions. Therefore, it is desirable to build information security teams. The number of security personnel is not enough for the task although there exist an information security team in the company. It is important to check if the team has the ability of perform information security task. The interview with security managers reveals that the total security management should be integrated with physical and computer security. It is suggested that an Information Security Center play the major role for information security. The study on the information security management for industry level is expected to be performed in the future.

Many cases of information systems (IS) failure have still continued to be reported ever since computer-based information systems were introduced to process business transactions in the early 1950s. Because an enormous amount of budgets is currently invested on information technology in many organizations, failures and problems of information systems may serve as key culprits to serious business problems which will face the organizations. Thus, there have been a number of studies on IS failures which aimed to identify causes and reasons for such failures and reveal their inherent nature, Some studies developed conceptual frameworks to classify categories of diverse IS failure phenomena. However, little research performed an empirical study to investigate the underlying structure of IS failures perceived by IS professionals by measuring their perception. In this regard, the current study collected systems developers perceptual data towards IS failure phenomena to identify what constitute IS failure. The data was analyzed using a multidimensional scaling program and ten categories of problems were identified to constitute the IS failure structure, It was found that most categories were related to problems with users, hardware, and systems quality.

This essay traverses the ontological space of IS research and identifies various misconceptions, biases, and conceptual peculiarities that inhabit the research. Three aspects of the IS ontology are examined: the conceptualization of the IT construct, demarcation of phenomena for investigation, and conceptual binding of the IT construct to other constructs. Various ontological issues are discussed including the transparency of the IT construct, the objectification of IT, and the causal primacy assigned to IT. The ontological purviews are further explored and their inadequacies are traced in the structurational explication of IS phenomena. At the end, some epistemological implications of the IS ontology are discussed and a two-tier theory structure is proposed for IS research.

Marketing information systems become a competitive weapon that supports firms in making decisions on the operation of marketing-related activities. However, little research regarding the operating strategy of marketing information systems has been conducted in Korea. Considering that this issue has been studied in the United States, this paper conducted a global benchmarking on the operating strategy of marketing information systems between Korean and the United States firms. The result of this global benchmarking suggests recommendations on supports from three management levels, the mix of 4P, the management of marketing, data from environment, and information sources.