Estimating the quality of interaction between mechanized support systems and lateral rocks

1987 ◽  
Vol 23 (1) ◽  
pp. 65-69 ◽  
Author(s):  
E. I. Rogov ◽  
B. A. Frolov ◽  
V. I. Klishin
Keyword(s):  
Support Systems ◽  
Mechanized Support

scholarly journals The Effect of Perceived Factors of Decision Support Systems on Actual Usage: Behavioral Intention of Using Decision Support Systems as a Mediating Variable: “An Empirical Study of Jordanian Higher Education Institutions”

2016 ◽  
Vol 12 (1) ◽  
pp. 201
Author(s):  
Bilal Mohammed Salem Al-Momani
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Decision Support ◽  
Information Systems ◽  
Decision Support Systems ◽  
Behavioral Intention ◽  
Support Systems ◽  
Higher Education Institutions ◽  
Quality Of Information

Decision support systems (DSS) are interactive computer-based systems that provide information, modeling, and manipulation of data. DSS are clearly knowledge-based information systems to capture, Processing and analysis of information affecting or aims to influence the decision making process, performed by people in scope professional job appointed by a user. Hence, this study describes briefly the key concepts of decision support systems such as perceived factors with a focus on quality  of information systems and quality of information variables, behavioral intention of using DSS, and actual DSS use by adopting and extending the technology acceptance model (TAM) of Davis (1989); and Davis, Bagozzi and Warshaw (1989).There are two main goals, which stimulate the study. The first goal is to combine Perceived DSS factors and behavioral intention to use DSS from both the social perspective and a technology perspective with regard to actual DSS usage, and an experimental test of relations provide strategic locations to organizations and providing indicators that should help them manage their DSS effectiveness. Managers face the dilemma in choosing and focusing on most important factors which contributing to the positive behavioral intention of use DSS by the decision makers, which, in turn, could contribute positively in the actual DSS usage by them and other users to effectively solve organizational problems. Hence, this study presents a model which should provide the useful tool for top management in the higher education institutions- in particular-to understand the factors that determine using behaviors for designing proactive interventions and to motivate the acceptance of TAM in order to use the DSS in a way that contributes to the higher education decision-making plan and IT policy.To accomplish or attain the above mentioned objectives, the researcher developed a research instrument (questionnaire) and distributed it amongst the higher education institutions in Jordan to collect data in order to empirically study hypothesis testing (related to the objectives of study). 341 questionnaires were returned from the study respondents. Data were analyzed by utilizing both SPSS (conducted descriptive analysis) and AMOS (conducting structural equation modelling).Findings of the study indicate that some hypotheses were supported while the others were not. Contributions of the study were presented. In addition, the researcher presented some recommendations. Finally, this study has identified opportunities for further study which has progressed greatly advanced understanding constantly of DSS usage, that can help formulate powerful strategies Involving differentiation between DSS perceived factors.

Quality Factors for DMSS Assessment

2011 ◽  
pp. 272-286 ◽  
Author(s):  
Harold W. Webb ◽  
Surya B. Yadav
Keyword(s):  
Decision Making ◽  
Support Systems ◽  
Development Project ◽  
System Quality ◽  
Quality Factors ◽  
Systems Research ◽  
Software Quality Metrics ◽  
Quality Decision ◽  
Decision Making Support

The objective of this chapter is to demonstrate the use of a decision support systems research (DSSR) framework to improve decision making support systems (DMSS) quality. The DSSR Framework, which was developed to integrate theoretical constructs from various information systems areas into a coherent theme, can serve as a tool for DMSS developers. Developed to provide a unified reference to theoretical constructs used in theory building and testing, the DSSR framework can also be used as the basis for the identification and selection of a hierarchy of factors potentially affecting the quality of DMSS development. The chapter proposes that a unified set of quality factors derived from the DSSR framework be used in tandem with the generic software quality metrics framework specified in IEEE Standard 1061-1992. The integration of these two frameworks has the potential to improve the process of developing high-quality decision making support systems and system components. The usage of these frameworks to identify system quality factors is demonstrated in the context of a military research and development project.

Culture and Anonymity in GSS Meetings

2005 ◽  
pp. 655-659
Author(s):  
Moez Limayem
Keyword(s):  
Decision Making ◽  
Support Systems ◽  
Group Support Systems ◽  
Decision Making Process ◽  
Group Support ◽  
Organizational Settings ◽  
Computer Communication ◽  
Decision Technologies

Group support systems (GSSs) are an increasingly popular means of aiding decision making in a variety of organizational settings, by combining the computer, communication, and decision technologies to improve the decision-making process (Briggs, Nunamaker, & Sprague, 1998). Such technologies make use of anonymity as a key tool to improve the quality of decisions (Nunamaker et al., 1991; Pinsonneault & Heppel, 1997; Postmes & Lea, 2000).

The Information Quality of Databases

2005 ◽  
pp. 281-285 ◽  
Author(s):  
InduShobha Chengalur-Smith ◽  
M. Pamela Neely ◽  
Thomas Tribunella
Keyword(s):  
Decision Support ◽  
Strategic Planning ◽  
Decision Support Systems ◽  
Information Quality ◽  
Support Systems ◽  
Transaction Processing ◽  
Quality Of Information ◽  
Transaction Processing Systems

A database is only as good as the data in it. Transaction-processing systems and decision-support systems provide data for strategic planning and operations. Thus, it is important to not only recognize the quality of information in databases, but also to deal with it. Research in information quality has addressed the issues of defining, measuring and improving quality in databases; commercial tools have been created to automate the process of cleaning and correcting data; and new laws have been created that deal with the fallout of poor information quality. These issues will be discussed in the next sections.

A method of estimating the operational reliability of kinematic mechanized support systems

1973 ◽  
Vol 9 (3) ◽  
pp. 333-335 ◽  
Author(s):  
V. I. Ivko ◽  
L. K. Ovchinnikova ◽  
V. I. Plotnikova
Keyword(s):  
Support Systems ◽  
Operational Reliability ◽  
Mechanized Support

scholarly journals Парадигма Программированияon Systematization of Programming Paradigms by Decision-Making Priorities

2020 ◽  
Vol 23 (4) ◽  
pp. 666-696
Author(s):  
Lidia Vasiljevna Gorodnyaya
Keyword(s):  
Decision Making ◽  
Programming Languages ◽  
Support Systems ◽  
Expressive Power ◽  
Programming Systems ◽  
Programming Paradigms

The report is devoted to the analysis of the method of comparison of programming languages, convenient for assessing the expressive power of languages and the complexity of the programming systems. The method is adapted to substantiate practical, objective criteria of program decomposition, which can be considered as an approach to solving the problem of factorization of very complicated definitions of programming languages and their support systems. The article presents the results of the analysis of the most well-known programming paradigms and outlines an approach to navigation in the modern expanding space of programming languages, based on the classification of paradigms on the peculiarities of problem statements and semantic characteristics of programming languages and systems with an emphasis on the criteria for the quality of programs and priorities in decision-making in their implementation.

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