Databsse system approach the management decision support

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Abstract
Cite
Donovan, John J. “Databsse System Approach the Management Decision Support”. ACM Transactions on Database Systems, vol. 1, no. 4, 1976, pp. 344-69, https://doi.org/10.1145/320493.320500.
Donovan, J. J. (1976). Databsse system approach the management decision support. ACM Transactions on Database Systems, 1(4), 344-369. https://doi.org/10.1145/320493.320500
Donovan JJ. Databsse system approach the management decision support. ACM Transactions on Database Systems. 1976;1(4):344-69.
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Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Computer software
Science
Science (General)
Cybernetics
Information theory
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Description

Can database systems truly empower modern policymakers? This paper dives into the critical need for decision support systems that go beyond traditional methods. In today’s complex world, intuitive decision-making falls short, necessitating sophisticated systems for information and analysis. This research showcases how database systems, while a key component, require expansion with new technologies and methodologies to effectively aid policymakers. The study explores energy sector examples, highlighting the distinct characteristics of decision support systems compared to operational and managerial systems. It reviews the evolution of decision support systems and outlines the computational demands essential for contemporary technology. The authors propose a computational facility, the Generalized Management Information System (GMIS), and its application to a complex energy problem in New England, demonstrating its practical value and future research directions. It emphasizes the expanding role of database systems for modern policy-makers.

Published in ACM Transactions on Database Systems, this paper aligns with the journal's focus on database technology, information systems, and computer science. By exploring the application of database systems in decision support, particularly in the energy sector, the paper contributes to the journal's exploration of innovative methodologies for managing and analyzing complex data. Its citations and references underscore its relevance within the broader database systems research community.

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Citations Analysis
The first research to cite this article was titled Institutional and ad hoc DSS and their effective use and was published in 1977. The most recent citation comes from a 2023 study titled Institutional and ad hoc DSS and their effective use . This article reached its peak citation in 1985 , with 4 citations.It has been cited in 12 different journals. Among related journals, the Decision Support Systems cited this research the most, with 7 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year