Information processing culture is presented as an integrative concept for representing the cultural aspects of organizational information processing, and its effects on organizational information processing effectiveness are investigated. Based upon a review of literature on organizational culture, the dimensions of information processing culture are drawn and validated empirically. It is found that information processing culture consists of two dimensions, information value perception and information processing rituals, the latter being further consisting of the volume of formal information processing, the structural support for information processing, and the degree of formalization for information recording and transmission. It is also found that information value perception has a strong effect on organizational information processing effectiveness. The implications of the findings are discussed.

Computer-Aided Software Engineering or CASE is the technology for automating the software development and maintenance process. Many firms are turning to CASE in hopes of realizing improvement in productivity and system quality. Although expenditures on CASE were reported to be rapidly rising, the performance gains have been very difficult to measure. The empirical results in this article are intended to provide some evidence about (1) the major objective of using CASE, (2) the gains from CASE, (3) the difference in productivity among CASE tools. They are based on an analysis of data collected from 61 software engineers from five corporations who have the experience of using CASE.

Generating an action plan and obtaining commitment to achieve it is desired in organizations, but not always achieved. Whatever the reason, there is a room for an improved approach to decision making, so that people can arrive at a common understanding of a problem and commitment to action. Those are the purposes of a Decision Conferencing(DC). A DC, one example of single workstation-based GDSSs, is a two-day session attended by a group of people who attempt to resolve important issues of concern to their organization with the help of group facilitation techniques and decision analytic computer modelling. The interchange of differing perspectives on the issues is encouraged by the facilitator who attends to group processes but does not contribute to the content of discussions. Decision analysis provides a variety of structures for modelling the differing perspectives. Information and value judgements are incorporated in these models, whose results usually reveal new, higher-level perspectives on the issues. Information technology is needed to combine the part of the model and to facilitate on-the-spot replay of results. The experimental case study in this paper shows that how a DC can help a Korea's trading company to develop new, corporate level resource allocation strategies which are based on improved consensus among competing participants.

There have been several studies on the key issues in information systems (IS) management. This study replicates the Society for Information Management (SIM) survey done in U.S.A. to investigate the key issues in IS management in Korea. This survey focused especially on the professions in financial institutions. A three-round Delphi method was employed to collect the opinions of participants and obtain a reasonable level of consensus about the key IS management issues of financial institutions in Korea. The number one issue identified was top management support, followed by recruitment and development of IS human resources. This article also compares the key IS management issues of financial institutions and those of manufacturing industries in Korea.

Analysis for the file with distributed free space such as a VSAM has been done. Birth and death process has been adopted to describe the status changes of control intervals in a VSAM file. File utilization is calculated as a function of the number of control intervals which contain different number of records in them. Effect of the control interval sizes and the loading factors are analyzed over the time horizon.

A deductive database consists of collection of stored facts and deductive rules. It can answer queries based on logical deduction from the stored facts and general rules. A deductive database has both a declarative meaning(semantics) and a procedural meaning. The declarative semantics of a deductive database provides a definition of the meaning of the program in a manner which is independent of procedural considerations, context-free, and easy to manipulate, exchange and reason about. This paper investigates various declarative semantics of deductive databases, dicusses related computational issues, and suggests another declarative semantics for deductive databases which is more practical than others.

Object-Oriented method is a rather difficult one, theories are different as many as they are, and can hardly be found well-applied examples of OOD. So, this paper deal with the history, the needs, the benefits, basic concept of object-oriented design methods, especially the designing procedure which covers from analyzing the requirements, designing the EER(extended entity relationship) model, transforming this model into relational schema, to OODB schema step. Major contributions can be identified; First, the proposed method will ensure that it improve the productivity, increase the software quality, and elevate the maintainability. Second, it provide the framework of how object-oriented schema is constructed for OODB design. Third, suggested realistic case study will enhance the better understanding of how the current business process will be applied to the OODB design step.