An Examination of the Impact of Expert Systems on the Firm: The Case of XCON

MIS Quarterly ◽  
1990 ◽  
Vol 14 (2) ◽  
pp. 127 ◽  
Author(s):  
John J. Sviokla
Keyword(s):  
Expert Systems ◽  
The Impact

A model to investigate the effect of information technology and information systems on the ease of managers’ decision-making

Kybernetes ◽  
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tian Ming ◽  
Wang Teng ◽  
Susan Jodaki
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Information Systems ◽  
Expert Systems ◽  
Equation Modeling ◽  
It Infrastructure ◽  
Statistical Population ◽  
Content Type ◽  
Organizational Variables ◽  
The Impact

Purpose Decision-making and problem-solving are ongoing progressions of evaluating situations or problems, considering substitutes, making choices and following them up with the necessary actions. The relationship between managers’ decision-making and information technology (IT) has long been of interest to researchers. This study aims to examine the changes in novel technologies in facilitating managers’ decisions that influence the quality and timeliness of information and decision-making. Design/methodology/approach The present paper is a descriptive-correlative study in terms of the data collection method and is applicable in terms of purpose. In addition, the library-field method was used to collect information. Because of the target and subject of the research of the statistical population, this research contains all managers of a management organization that are 100 people. The present study is used in the structural equation modeling method to examine causal models and evaluate the reliability and validity of the measurement model. The presented model and the gathered information from the questionnaires were analyzed through SmartPLS software. Findings The results indicate that the IT infrastructure, expert systems, marketing information systems (ISs) and organizational variables significantly influence the ease of managers’ decision-making and considering these dimensions is a step in the success of managers’ decisions. Research limitations/implications This study used a questionnaire to collect information, which may result in some people refusing to provide a real answer and giving an unrealistic answer. This study is also cross-sectional, and therefore, makes it difficult to conclude about causality. In addition, access to statistics and information is one of the significant pillars of research. Practical implications The paper presents useful advice for improving decision-making. In addition, the topic is relevant to the ease of managers’ decisions. A better understanding of the impact of IT infrastructure, expert systems, marketing ISs and organizational variables could significantly enhance managers’ success. Originality/value The ideas and topics discussed are equally applicable to libraries and can provide new insights into the impact of IT infrastructures, expert systems, marketing ISs and organizational variables on the ease of decision makers as a source of competition.

Assessing the impact of expert systems: The experiences of a small firm

1994 ◽  
Vol 7 (2) ◽  
pp. 249-257 ◽  
Author(s):  
R AGARWAL ◽  
S BROWN ◽  
M TANNIRU
Keyword(s):  
Expert Systems ◽  
Small Firm ◽  
The Impact

scholarly journals A Methodology Based on Expert Systems for the Early Detection and Prevention of Hypoxemic Clinical Cases

2020 ◽  
Vol 17 (22) ◽  
pp. 8644 ◽  
Author(s):  
Alberto Comesaña-Campos ◽  
Manuel Casal-Guisande ◽  
Jorge Cerqueiro-Pequeño ◽  
José-Benito Bouza-Rodríguez
Keyword(s):  
Early Detection ◽  
Expert Systems ◽  
Respiratory Diseases ◽  
Treatment Options ◽  
Blood Oxygen Saturation ◽  
Physical Measurements ◽  
Inference Systems ◽  
The Impact ◽  
Early Detection And Prevention ◽  
Clinical Cases

Respiratory diseases are currently considered to be amongst the most frequent causes of death and disability worldwide, and even more so during the year 2020 because of the COVID-19 global pandemic. Aiming to reduce the impact of these diseases, in this work a methodology is developed that allows the early detection and prevention of potential hypoxemic clinical cases in patients vulnerable to respiratory diseases. Starting from the methodology proposed by the authors in a previous work and grounded in the definition of a set of expert systems, the methodology can generate alerts about the patient’s hypoxemic status by means of the interpretation and combination of data coming both from physical measurements and from the considerations of health professionals. A concurrent set of Mamdani-type fuzzy-logic inference systems allows the collecting and processing of information, thus determining a final alert associated with the measurement of the global hypoxemic risk. This new methodology has been tested experimentally, producing positive results so far from the viewpoint of time reduction in the detection of a blood oxygen saturation deficit condition, thus implicitly improving the consequent treatment options and reducing the potential adverse effects on the patient’s health.

scholarly journals Access to specific declarative knowledge by expert systems: The impact of logic programming

1985 ◽  
Vol 1 (2) ◽  
pp. 123-141 ◽  
Author(s):  
Yannis Vassiliou ◽  
James Clifford ◽  
Matthias Jarke
Keyword(s):  
Expert Systems ◽  
Logic Programming ◽  
Declarative Knowledge ◽  
The Impact

scholarly journals Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposition Risks

2020 ◽  
Vol 18 (1) ◽  
pp. 269
Author(s):  
Jorge Cerqueiro-Pequeño ◽  
Alberto Comesaña-Campos ◽  
Manuel Casal-Guisande ◽  
José-Benito Bouza-Rodríguez
Keyword(s):  
Expert Systems ◽  
Indoor Radon ◽  
Health Hazard ◽  
High Concentration ◽  
Clear Trend ◽  
Software Application ◽  
Radon Gas ◽  
Concurrent Use ◽  
The Impact ◽  
Concentration Levels

Exposure to high concentration levels of radon gas constitutes a major health hazard, being nowadays the second-leading cause of lung cancer after smoking. Facing this situation, the last years have seen a clear trend towards the search for methodologies that allow an efficient prevention of the potential risks derived from the presence of harmful radon gas concentration levels in buildings. With that, it is intended to establish preventive and corrective actions that might help to reduce the impact of radon exposure on people, especially in places where workers and external users must stay for long periods of time, as it may be the case of healthcare buildings. In this paper, a new methodology is developed and applied to the prevention of the risks derived from the exposure to radon gas in indoor spaces. Such methodology is grounded in the concurrent use of expert systems and regression trees that allows producing a diagram with recommendations associated to the exposure risk. The presented methodology has been implemented by means of a software application that supports the definition of the expert systems and the regression algorithm. Finally, after proving its applicability with a case study and discussing its contributions, it may be claimed that the benefits of the new methodology might lead on to an innovation in this field of study.

The impact of periodicals on expert systems research

IEEE Expert ◽  
1994 ◽  
Vol 9 (6) ◽  
pp. 7-14 ◽  
Author(s):  
Chun Hung Cheng ◽  
C.W. Holsapple ◽  
A. Lee
Keyword(s):  
Expert Systems ◽  
Systems Research ◽  
The Impact

Using Expert Systems for Investigating The Impact of Architectural Anomalies on Software Reuse

2017 ◽  
Vol 15 (2) ◽  
pp. 374-379 ◽  
Author(s):  
Rafael Jullian Oliveira do Nascimento ◽  
Carlos Andre Guerra Fonseca ◽  
Francisco Dantas de Medeiros Neto
Keyword(s):  
Expert Systems ◽  
Software Reuse ◽  
The Impact
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