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 Reflections on my journey in using Information Technology to support Legal Decision Making—from Legal Positivism to Legal Realism

2019 ◽  
Vol 36 (1) ◽  
pp. 80-92
Author(s):  
John Zeleznikow
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Legal Positivism ◽  
Legal Decision ◽  
Legal Realism ◽  
Online Dispute Resolution ◽  
Legal Decision Making ◽  
Legal Decision Support Systems

In this paper I discuss my transition from legal positivism to legal realism and how this has impacted upon my construction of legal decision support systems. As a child living with parents who were heavily engaged in politics, and who had disastrous experiences with the twin evils of fascism and communism, I was encouraged to become a scientist. But my interest was always in law and politics. Constructing legal decision support systems was a pragmatic balance between my skills and interests. So I began constructing rule-based systems. But gradually I became aware of the discretionary nature of legal decision making and the need to model legal realism. Through the use of machine learning I have been able to develop useful systems modelling discretion. The advent of the world wide web has allowed the wider community to become more aware of legal decision making. It has fostered the concept of online dispute resolution and provided tools for self-represented litigants. Most importantly, we have become aware that the major impediment to the use of technology in law is not the lack of adequate software. Rather it is the failure of the legal profession to address user centric issues.  

Legal decision support systems in Cuba: some background and notes for future projects

2021 ◽  
pp. 1-21
Author(s):  
Carlos Rafael Rodríguez Rodríguez ◽  
Yarina Amoroso Fernández ◽  
Marieta Peña Abreu ◽  
Denis Sergeevich Zuev
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Legal Decision ◽  
Legal Decision Support Systems

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.

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.

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.

Group Decision Support Systems

2011 ◽  
pp. 1543-1550 ◽  
Author(s):  
John Wang ◽  
James Yao
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Financial Management ◽  
Group Decision ◽  
Support Systems ◽  
Group Decision Support ◽  
Group Decision Support Systems ◽  
Management Decision ◽  
Trace Back

Group decision support systems (GDSSs) which aim at increasing some of the benefits of collaboration and reducing the inherent losses are interactive information technology-based environments that support concerted and coordinated group efforts toward completion of joint tasks (Dennis, George, Jessup, Nunamaker, & Vogel, 1998). The term group support systems (GSSs) was coined at the start of the 1990’s to replace the term GDSS. The reason for this is that the role of collaborative computing was expanded to more than just supporting decision making (Patrick & Garrick, 2006). For the avoidance of any ambiguities, the latter term shall be used in the discussion throughout this paper. If we trace back, GDSSs are specialized model-oriented decision support systems (DSSs) or management decision systems that were born in the late 1960s. By the late 1970s, a number of researchers and companies had developed interactive information systems that used data and models to help managers analyze semi-structured problems. From those early days, it was recognized that DSSs could be designed to support decision makers at any level in an organization. DSSs could support operations, financial management, and strategic decision making.

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