Quality of information measures for autonomous decision-making

2004 ◽  
Author(s):  
R. Prasanth ◽  
J. Cabrera ◽  
J. Amin ◽  
R. Mehra ◽  
R. Purtell ◽  
...  
Keyword(s):  
Decision Making ◽  
Quality Of Information ◽  
Information Measures ◽  
Autonomous Decision

Quality of Information Metrics for Autonomous Decision Marking

2003 ◽  
Author(s):  
Russell Purtell ◽  
Ravi Prasanth ◽  
Joao Cabrera ◽  
Raman Mehra ◽  
Robert Smith
Keyword(s):  
Quality Of Information ◽  
Autonomous Decision ◽  
Information Metrics

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.

scholarly journals Quality Assurance in Knowledge Data Warehouse

2017 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Data Warehouse ◽  
Noisy Data ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Quality Of Information ◽  
External Data ◽  
Existing Data

Knowledge discovery is the process of adding knowledge from a large amount of data. The quality of knowledge generated from the process of knowledge discovery greatly affects the results of the decisions obtained. Existing data must be qualified and tested to ensure knowledge discovery processes can produce knowledge or information that is useful and feasible. It deals with strategic decision-making for an organization. Combining multiple operational databases and external data create the data warehouse. This treatment is very vulnerable to incomplete, inconsistent, and noisy data. Data mining provides a mechanism to clear this deficiency before finally stored in the data warehouse. This research tries to give technique to improve the quality of information in the data warehouse.

scholarly journals Evaluating COVID-19 Vaccination Website using DISCERN and QUality Evaluation Scoring (QUEST) Tools

2021 ◽  
Author(s):  
Akash Gajanan Prabhune ◽  
Aishwarya Mallavaram ◽  
Sachin Bhat ◽  
Samridhi Pandey ◽  
Ayesha Mehar Shagufta ◽  
...  
Keyword(s):  
Decision Making ◽  
United Arab Emirates ◽  
Ease Of Use ◽  
Average Score ◽  
Quality Of Information ◽  
Member States ◽  
Critical Information ◽  
Minor Elements ◽  
Selection Of

Abstract Background: The objective of this paper was to evaluate the COVID-19 vaccine registration website across UN-recognized member states for their portal quality, reliability, Ease Use and help to the general population in informed decision making.Methods: 12 UN member states (Countries) were selected based on the inclusion and exclusion criteria mentioned in the methodology section of this paper. PPS technique was used for sampling and selection of 12 countries from 193 UN member states. Post selection of UN member states the study used 2 step evaluation techniques, Step 1 The DISCERN checklist consists of 16 questions in three sections and is aimed to assess the reliability of information and quality of information; Step 2 The QUEST tool consists of 6 items with a subitem, Authorship, Attribution, Conflict of Interest, Complementarity, Currency, Tone. The authors developed a standard set of instructions for evaluating Vaccination Portals to bring uniformity in understanding and context setting.Results: DISCERN tool overall reliability score on the Likert scale of 0 to 5 was 4 (SD ± 1.28). On Quality of information regarding treatment choices, the average score was 3.4 (SD ± 1.67). The QUEST tool on ease of use, concision, and comprehensiveness demonstrated an average score of 18.1 (SD ± 8.3) out of 28.The vaccine registration portal of the Czech Republic was found to be most informative and was able to provide a piece of scientifically valid information on safety, efficacy, long-term short effects, choice of vaccine with attributable authors details. India, Bangladesh, Nigeria, South Africa scored relatively low to missing critical information on the website. The United Arab Emirates, Republic of South Korea, Indonesia, Australia, and Argentina had minor elements missing.Conclusions: COVID-19 vaccination portals vary in the quality of information and many were found unable to provide critical information for decision making on getting vaccinated

Knowledge-Intensive Entrepreneurship in the Economy of the European Union

2014 ◽  
pp. 43-52
Author(s):  
G. Olevsky
Keyword(s):  
Decision Making ◽  
Knowledge Production ◽  
The European Union ◽  
Quality Of Information ◽  
The Matrix ◽  
Knowledge Intensive ◽  
Knowledge Intensive Entrepreneurship ◽  
The Eu

The article studies role of knowledge in business and analyzes tendencies of the formation of knowledge-intensive entrepreneurship (business) in the EU. It is shown that for small and medium-sized enterprises prospects of expansion of knowledge production and sales of products and services are associated with the internationalization of business. The author proposes the matrix of decision-making entrepreneurs, depending on the completeness and quality of information at their disposal on the market.

scholarly journals Do multidisciplinary cancer care teams suffer decision-making fatigue: an observational, longitudinal team improvement study

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e027303 ◽  
Author(s):  
Tayana Soukup ◽  
Tasha A K Gandamihardja ◽  
Sue McInerney ◽  
James S A Green ◽  
Nick Sevdalis
Keyword(s):  
Decision Making ◽  
Cancer Care ◽  
Information Quality ◽  
Primary Outcome ◽  
Audit And Feedback ◽  
Case Review ◽  
Quality Of Information ◽  
High Workload ◽  
Assess Quality

ObjectiveThe objective of this study was to examine effectiveness of codesigned quality-improving interventions with a multidisciplinary team (MDT) with high workload and prolonged meetings to ascertain: (1) presence and impact of decision-making (DM) fatigue on team performance in the weekly MDT meeting and (2) impact of a short meeting break as a countermeasure of DM fatigue.Design and interventionsThis is a longitudinal multiphase study with a codesigned intervention bundle assessed within team audit and feedback cycles. The interventions comprised short meeting breaks, as well as change of room layout and appointing a meeting chair.Setting and participantsA breast cancer MDT with 15 members was recruited between 2013 and 2015 from a teaching hospital of the London (UK) metropolitan area.MeasuresA validated observational tool (Metric for the Observation of Decision-making) was used by trained raters to assess quality of DM during 1335 patient reviews. The tool scores quality of information and team contributions to reviews by individual disciplines (Likert-based scores), which represent our two primary outcome measures.ResultsData were analysed using multivariate analysis of variance. DM fatigue was present in the MDT meetings: quality of information (M=16.36 to M=15.10) and contribution scores (M=27.67 to M=21.52) declined from first to second half of meetings at baseline. Of the improvement bundle, we found breaks reduced the effect of fatigue: following introduction of breaks (but not other interventions) information quality remained stable between first and second half of meetings (M=16.00 to M=15.94), and contributions to team DM improved overall (M=17.66 to M=19.85).ConclusionQuality of cancer team DM is affected by fatigue due to sequential case review over often prolonged periods of time. This detrimental effect can be reversed by introducing a break in the middle of the meeting. The study offers a methodology based on ‘team audit and feedback’ principle for codesigning interventions to improve teamwork in cancer care.

High Performance Work Systems and Organizational Outcomes: The Mediating Role of Information Quality

ILR Review ◽  
2003 ◽  
Vol 56 (4) ◽  
pp. 590-605 ◽  
Author(s):  
Gil A. Preuss
Keyword(s):  
Decision Making ◽  
High Performance ◽  
Information Quality ◽  
Knowledge Work ◽  
Care Hospital ◽  
Quality Of Information ◽  
Work Systems ◽  
High Performance Work Systems ◽  
Performance Quality

Using data on registered nurses and nursing assistants in 50 acute-care hospital units, the author explores the relationships among high performance work systems, information quality, and performance quality within a context shaped by equivocal information—information that can be interpreted in multiple and sometimes conflicting ways. He finds that the quality of information available for decision-making, which largely depends on the interpretative skills of the workers who are exposed to important equivocal information, partially mediates how employee knowledge, work design, and total quality management systems affect organizational performance (which is measured as the inverse of medication error incidence). Providing employees with extensive relevant knowledge and enabling them to use their skills during even seemingly routine tasks improves the effective quality of information they bring to decision-making, and thereby promotes high performance quality.

scholarly journals Methods and intelligent systems of analysis and synthesis new technical solution

2018 ◽  
Author(s):  
Александр Андрейчиков ◽  
Aleksandr Andreychikov
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Transition Economy ◽  
Self Regulation ◽  
Technical Solution ◽  
Quality Of Information ◽  
Knowledge Processing ◽  
Heterogeneous Information ◽  
Analysis And Synthesis

This monograph describes the basic methods and intelligent digital technologies of conceptual design, which allow to solve the most important problems of structural synthesis, decision-making and forecasting in the conditions of uncertainty in the early stages of design of technical objects. Conditions of uncertainty mean the presence of incomplete, inaccurate, non-quantitative, unreliable, fuzzy information involved in solving these problems. With the development of Informatization tools, the volume of data that can be used for the synthesis, analysis, forecasting and planning of solutions significantly increases. This, in turn, requires the development of tools for presenting and processing heterogeneous information, as well as effective methods for extracting the necessary information from powerful information flows. Every year, the time allocated for decision-making decreases, and the complexity of procedures increases due to the increase in the number of participants in these processes, with an increase in the amount of information involved, with a rapid and poorly predictable change in the conditions in which the formulation and solution of tasks, as well as the implementation of decisions. In a rapidly changing environment, traditional technologies for analyzing, synthesizing and predicting solutions are not always acceptable, mainly due to time constraints and insufficient quantity and quality of information. All this makes it necessary to obtain forecasts of possible changes in the environment of design tasks and to develop methods for assessing the consequences of decisions. The problem of planning solutions in crisis and unstable situations, which are typical for Russia in recent years, is of particular importance, because in the conditions of the transition economy, the mechanisms of self-regulation either do not work, or work extremely inefficiently, since the processes are unbalanced. Therefore, it is important to identify the types of tasks that occur in such situations and to develop approaches to their solution using information systems. Analysis of methods and computer systems used for the synthesis, prediction and decision-making leads to the conclusion that the most promising are the methods and systems based on the technology of knowledge processing.

scholarly journals Modern Information Technologies: Obstacles and Assistants in Management Decision-Making. Article Two. Opportunities

2021 ◽  
pp. 10-16
Author(s):  
V. A. Shamakhov ◽  
N. M. Mezhevich
Keyword(s):  
Decision Making ◽  
Information Technologies ◽  
Information Support ◽  
Management Decision ◽  
Quality Of Information ◽  
Management Decision Making ◽  
Long Time ◽  
Filter Bubbles ◽  
Main Effects

The dependence of management decisions on information support is not a debatable issue for a long time. However, the changing quality of information creates both new challenges and new opportunities in the information and analytical field. The decision-making process, which would seem to be facilitated by digitalization, is actually becoming more complicated. As one of the main effects of digitalization, we note the apparent availability of information. In fact, simple facts that create an information network no longer become, moreover, they become smaller, or rather, their availability decreases. The necessary information sinks in the ocean of information noise. Echo chambers and filter bubbles exacerbate this problem. At the same time, the possibilities provided by the effects of echo cameras and information bubbles remain low.

Sign in / Sign up

Export Citation Format

Share Document