Titlebook: Management and Office Information Systems; Shi-Kou Chang Book 1984 Plenum Press, New York 1984 calculus.computer.control.database.database

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The Process of Designing Organization Structures and their Information Substructuresical order is imposed on the choice space in which the algorithm is to operate or the search to occur, there is no way to specify the algorithm or analyze its efficiency. This logical order, or algebra, forms the basis on which one may identify the conceptual steps in the algorithm or search procedu

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Organizational Structures as the Primal Information Systeminformation. This chapter argues that there are two polar types of information systems. The first, the organizational process information system (OPIS), relies upon the organizational structures as its information system. The second, the technologically augmenting information system (TAIS), suppleme

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Analysis of Formal and Informal Information Needs in Decision Support Systems Designsures effective direction and priorities for the systems design. The data analysis and decision analysis approaches to information needs analysis are reviewed; an experimentation approach to needs analysis is proposed. An empirical study using this approach was carried out in a stockbroking office.

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Informational Needs of Organizations Under Crisisprevious study. that these systems provide trivial aid to the managers of organizations undergoing severe crisis. Simply put, it is argued that the current models, techniques, and principles of management are best suited for dealing with the “normal” problems of an organization, that is, with proble

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Languages for Decision Support Systemsational trade, world politics, and government regulations point to a need for computer-based decision support systems (DSSs). Several surveys. have indicated an increase in the use of such models especially in applications such as pro forma financial statement projection and budgeting. These systems

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Planning and Control Systems for R&D Organizationse expenditure of millions of dollars, few R&D organizations possess information systems whose quality and data integrity equal those found in major corporate profit centers. This chapter provides a constructive model framework for a decision support system combining the financial, operational, and f