The effects of team identity and cooperative team norm on the acceptance and performance of a collaborative information system

2010 ◽  
Vol 13 (4) ◽  
pp. 761-770 ◽  
Author(s):  
Wenjywan Su ◽  
Sheng-Wen Hsieh
Keyword(s):  
Information System ◽  
Team Identity ◽  
Cooperative Team ◽  
And Performance ◽  
Collaborative Information System

scholarly journals The Role and Place of Accounting Information in the Decision-Making System

2019 ◽  
Vol 25 (2) ◽  
pp. 46-51
Author(s):  
Sebastian Floştoiu
Keyword(s):  
Decision Making ◽  
Information System ◽  
Accounting Information ◽  
Accurate Information ◽  
Important Place ◽  
Complex Procedure ◽  
Decision Making System ◽  
Degree Of Certainty ◽  
The Subject ◽  
And Performance

Abstract The results and performance of an enterprise are the result of the decisions taken by the management of the entity, decisions which are the result of a complex procedure of processing and analyzing the relevant data and information provided by the information system available. In other words, appropriate and correct decisions that lead to the achievement of the objectives and attainment of higher performances are dependent on the quality and quantity of the information. Consequently, accurate information generates correct decisions. Due to of its qualities (relevance, intelligibility, credibility and comparability), accounting information occupies a very important place in the architecture of the economic information system, having the highest degree of certainty and providing the possibility of an accurate representation of economic phenomena and processes, both at micro, as well as at macroeconomic levels. Hence, we can say that the “final outcome of accounting”, namely accounting information, is one of the most important pillars of the elaboration, substantiation and decision-making process. Starting from this premise, this article aims to capture the main features of accounting information, which qualifies it as the object and the subject of the management system.

scholarly journals An Agent-Aware Computing Based Mixed Reality Information System

2017 ◽  
Vol 17 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Charles Z. Liu ◽  
Manolya Kavakli
Keyword(s):  
Information System ◽  
Mixed Reality ◽  
Computing System ◽  
Test Results ◽  
System Synthesis ◽  
Human System ◽  
Qos Management ◽  
Collaborative Information System

In this paper, we present an agent- aware computing based collaborative information sys- tem scheme for MR applications. The HCI issues in VR, AR, and MR, have been discussed firstly. Besides the equipment, the lack of understanding of users also ac- counts for a significant bottleneck of improving user ex- perience and immersion during the interaction. Aiming at the issues, an agent-aware computing based scheme is proposed and implemented. The corresponding sys- tematic scheme is presented in the views of functional- ity, modules and system workflow and discussed in de- sign, implementation, and system synthesis. By means of the human-aware computing, system-aware comput- ing and human-system aware computing, issues such as mixed reality fusion, QoE-QoS management, confiden- tiality, and security, are addressed by the applying agent- aware computing based scheme into an implementation of the collaborative information system for mixed real- ity. Related modules along with their function and test results are given and discussed.

scholarly journals Routine Health Information System Utilization for Evidence-Based Decision Making in Amhara National Regional State, Northwest Ethiopia: a multi-level analysis.

2020 ◽  
Author(s):  
Moges Asressie Chanyalew ◽  
Mezgebu Yitayal ◽  
Asmamaw Atnafu ◽  
Binyam Tilahun
Keyword(s):  
Decision Making ◽  
Information System ◽  
Health Information ◽  
Performance Monitoring ◽  
Health Information System ◽  
Evidence Based ◽  
Department Heads ◽  
Target Setting ◽  
Work Location ◽  
And Performance

Abstract Background: Health Information System (HIS) is the key to making evidence-based decisions. Ethiopia has been implementing the Health Management Information System (HMIS) since 2008 to collect routine health data and revised it in 2017. However, the evidence is meager on the use of routine health information for decision making among department heads in the health facilities. The study aimed to assess the proportion of routine health information systems utilization for evidence-based decisions and factors associated with it. Method: A cross-sectional study was carried out among 386 department heads from 83 health facilities in ten selected districts in the Amhara region Northwest of Ethiopia from April to May 2019. The study participants were selected using a simple random sampling technique. Descriptive statistics mean and percentage were calculated. The study employed a generalized linear mixed-effect model. Adjusted Odds Ratio (AOR) and the 95% CI were calculated. Variables with p-value <0.05 were considered as predictors of routine health information system use. Result: Proportion of information use among department heads for decision making was estimated at 46%. Displaying demographic (AOR= 12.42, 95% CI: [5.52, 27.98]) and performance (AOR= 1.68; 95% CI: [1.33, 2.11]) data for monitoring, and providing feedback to HMIS unit (AOR= 2.29; 95% CI: [1.05, 5.00]) were individual (level-1) predictors. Maintaining performance monitoring team minute (AOR= 3.53; 95% CI: [1.61, 7.75]), receiving senior management directives (AOR= 3.56; 95% CI: [1.76, 7.19]), supervision (AOR= 2.84; 95% CI: [1.33, 6.07]), using HMIS data for target setting (AOR= 3.43; 95% CI: [1.66, 7.09]), and work location (AOR= 0.16; 95% CI: [0.07, 0.39]) were organizational (level-2) explanatory variables. Conclusion: The proportion of routine health information utilization for decision making was low. Displaying demographic and performance data, providing feedback to HMIS unit, maintaining performance monitoring team minute, conducting supervision, using HMIS data for target setting, and work location were factors associated with the use of routine health information for decision making. Therefore, strengthening the capacity of department heads on data displaying, supervision, feedback mechanisms, and engagement of senior management are highly recommended.

Assessing the Performance of Decision Support Systems in Military Environment

2015 ◽  
pp. 45-70 ◽  
Author(s):  
Jean-Fabrice Lebraty ◽  
Cécile Godé
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Extreme Environment ◽  
Is Success ◽  
Original Case ◽  
And Performance

This article explores the ability of a decision support system (DSS) to improve the quality of decision making in extreme environment. This DSS is actually based on a networked information system. Academic literature commonly mentions models of fit to explore the relationship between technology and performance, reckoning users' evaluations as a relevant measurement technique for Information System (IS) success. Although effective contributions have been achieved in measurement and exploration of fit, there have been few attempts to investigate the triangulation of fit between “Task-DSS-Decision Maker” under stressful and uncertain circumstances. This article provides new insights regarding the advantages provided by networked IS for making relevant decisions. An original case study has been conducted. It is focused on a networked decision support system called Link 16 that is used during aerial missions. This case study shows that the system improves decision making on an individual basis. Our result suggest the importance of three main fit criteria – Compliance, Complementarity and Conformity – to measure DSS performance under extreme environment and display a preliminary decisional fit model.

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