A Framework for Developing Management Intelligent Systems

2017 ◽  
pp. 503-521
Author(s):  
Zhaohao Sun
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Research And Development ◽  
Intelligent Systems ◽  
Support Systems ◽  
Management Decision ◽  
The Core ◽  
Management Decision Making ◽  
Core Components ◽  
Management Functions

This paper proposes a framework for developing management intelligent systems (MiS). The proposed framework identifies the main management functions, intelligent systems and decision support systems (DSS) for planning, organizing, leading and controlling, and their corresponding applications as the core components of MiS. It integrates the main management functions with intelligent systems and DSS in a context of decision making by managers in organizations. This paper also examines intelligent systems for management and management decision making. The approach proposed in this paper might facilitate research and development of MiS, management, intelligent systems, and information systems.

A Framework for Developing Management Intelligent Systems

2016 ◽  
Vol 6 (1) ◽  
pp. 37-53 ◽  
Author(s):  
Zhaohao Sun
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Research And Development ◽  
Intelligent Systems ◽  
Management Decision ◽  
The Core ◽  
Management Decision Making ◽  
Core Components ◽  
Management Functions

This paper proposes a framework for developing management intelligent systems (MiS). The proposed framework identifies the main management functions, intelligent systems and decision support systems (DSS) for planning, organizing, leading and controlling, and their corresponding applications as the core components of MiS. It integrates the main management functions with intelligent systems and DSS in a context of decision making by managers in organizations. This paper also examines intelligent systems for management and management decision making. The approach proposed in this paper might facilitate research and development of MiS, management, intelligent systems, and information systems.

scholarly journals Legal decision support system application possibility in corporate governance

2016 ◽  
Author(s):  
Ruta Mikštienė ◽  
Violeta Keršulienė
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Decision ◽  
Specific Information ◽  
Legal Decision ◽  
Rational Solutions ◽  
Management Decision Making ◽  
Legal Decision Support Systems

Decision-making that must be supported by specific information or reasoning extensively relies on decision support systems, capable of handling data from multiple sources. Most decision-makers seek to find cost-effective solutions, i.e. mainly focusing on most efficient solutions in economic terms, consequently, it is the economic information that is basically processed and offered for decision-making process by decision support systems, along with economic models. Though businesses focus on the most rational solutions to the management process, other criteria also play an important role, including time costs, confidentiality, and friendly relations with service users, customers, partners and government agencies, etc., thus management decision-making may successfully rely on legal decision support systems. The article presents an overview of legal decision support systems and their potential as regards their application in addressing a wide array of business management issues. The article also focuses on the selection and screening of indicators critical to decision-making, and offers a potential structure for management decision- making.

scholarly journals Sistem Pendukung Keputusan Kelayakan Pemberian Asuransi Jiwa Untuk Nelayan dengan Menggunakan Metode Vikor (Studi Kasus: Dinas Kelautan dan Perikanan Medan)

2020 ◽  
Vol 1 (3) ◽  
pp. 220
Author(s):  
Amatillah Nasution ◽  
Kurnia Ulfa
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management Decision ◽  
Main Function ◽  
System Method ◽  
Management Decision Making ◽  
Decision Alternatives ◽  
Alternative Solutions

Life insurance is a term used to refer to actions, systems, or businesses in which financial protection (or financial compensation) for life, property, health and so on gets reimbursed from unexpected events that can occur such as death , loss, damage or illness, which involves regular premium payments over a period of time in exchange for a policy that guarantees such protection. The term "insured" usually refers to everything that gets protection. Decision Support System is defined a system intended to support management decision making, Decision making is the main function of a manager or administrator. Decision making activities include identifying problems, finding alternative solutions to problems, evaluating these alternatives and choosing the best decision alternatives. The Vise Kriterijumska Optimazacija Kompromisno Resenje (VIKOR) method is one of the methods used in decision making. To use the decision support system method must have criteria that will be used in the determination, in addition it must determine the level of importance of each criterion. So the decision support system used must also have comprehensive and integrated planning to minimize the level of risk of failure and decision selection

Intelligent Agents in Decision Support Systems

2011 ◽  
pp. 857-866 ◽  
Author(s):  
Gloria E Phillips-Wren
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Information Overload ◽  
Support Systems ◽  
Distributed Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems

Internet-based, distributed systems have become essential in modern organizations. When combined with artificial intelligence (AI) techniques such as intelligent agents, such systems can become powerful aids to decision makers. These newer intelligent systems have extended the scope of traditional decision support systems (DSSs) to assist users with real-time decision making, multiple information flows, dynamic data, information overload, time-pressured decisions, inaccurate data, difficult-to-access data, distributed decision making, and highly uncertain decision environments. As a class, they are called intelligent decision support systems (IDSSs).

Managerial Decision Support in the Post-COVID-19 Era

2021 ◽  
pp. 225-241
Author(s):  
Jan Kalina
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Management Practices ◽  
Support Systems ◽  
Management Decision ◽  
Managerial Decision ◽  
Massive Datasets ◽  
New Development ◽  
Decision Making Processes

The COVID-19 pandemic accelerated trends to digitalization and automation, which allow us to acquire massive datasets useful for managerial decision making. The expected increase of available data (including big data) will represent a potential for an increasing deployment of management decision support systems for more general and more complex tasks. Sophisticated decision support systems have been proposed already in the pre-pandemic times either to assist managers in specific decision-making processes or to perform the decision making fully automatically. Decision support systems are presented in this chapter as perspective artificial intelligence tools contributing to a deep transform of everyday management practices. Attention is paid here to their new development in the quickly transforming post-COVID-19 era and to their role under the post-pandemic conditions. As an original contribution, this chapter presents a vision of information-based management, which far exceed the rather limited pre-pandemic visions of evidence-based management focused primarily on critical thinking.

Intelligent Agents in Decision Support Systems

2011 ◽  
pp. 505-513 ◽  
Author(s):  
Gloria E. Phillips-Wren
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Information Overload ◽  
Support Systems ◽  
Distributed Decision Making ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems

Internet-based, distributed systems have become essential in modern organizations. When combined with artificial intelligence (AI) techniques such as intelligent agents, such systems can become powerful aids to decision makers. These newer intelligent systems have extended the scope of traditional decision support systems (DSSs) to assist users with real-time decision making, multiple information flows, dynamic data, information overload, time-pressured decisions, inaccurate data, difficult-to-access data, distributed decision making, and highly uncertain decision environments. As a class, they are called intelligent decision support systems (IDSSs).

The forest management decision support system project

1991 ◽  
Vol 67 (6) ◽  
pp. 622-628 ◽  
Author(s):  
Dan Bulger ◽  
Harold Hunt
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Decision Makers ◽  
Management Decision ◽  
Management Decision Support

The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating forest management decision support systems. This set of tools will be used to implement a prototype forest management decision support system for the Plonski forest, near Kirkland Lake, Ontario.There are three critical ingredients in building the FMDSS, these are: (1) knowledge of the decision making process, (2) knowledge of the forest, and (3) the functionality of underlying support technology. The growing maturity of the underlying technology provides a tremendous opportunity to develop decision support tools. However, a significant obstacle to building FMDSS has been the diffuse nature of knowledge about forest management decision making processes, and about the forest ecosystem itself. Often this knowledge is spread widely among foresters, technicians, policy makers, and scientists, or is in a form that is not easily amenable to the decision support process. This has created a heavy burden on the project team to gather and collate the knowledge so that it could be incorporated into the function and design of the system. It will be difficult to gauge the success of this exercise until users obtain the software and begin to experiment with its use.

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