An intelligent information mediation framework to enable decentralized decision-making in immersive environments

2021 ◽  
Author(s):  
Theron T. Trout ◽  
Erik Risinger ◽  
Tiffany Raber ◽  
Mark S. Dennison
Keyword(s):  
Decision Making ◽  
Immersive Environments ◽  
Decentralized Decision Making ◽  
Intelligent Information

MONITORING THE ATTITUDE OF THE POPULATION TO PROBLEMS OF URBAN ENVIRONMENT FOR SITUATION-AL CENTERS OF A SMART CITY

2019 ◽  
pp. 51-54
Author(s):  
D. Verzilin ◽  
T. Maximova ◽  
I. Sokolova
Keyword(s):  
Decision Making ◽  
Urban Environment ◽  
Smart City ◽  
Sources Of Information ◽  
Online Activity ◽  
Operational Decision Making ◽  
Alternative Sources ◽  
Intelligent Information ◽  
State Of The Environment ◽  
Active Citizen

Goal. The purpose of the study was to search for alternative sources of information on popu-lation’s preferences and response to problems and changes in the urban environment for use in the operational decision-making at situational centers. Materials and methods. The authors used data from search queries with keywords, data on communities in social networks, data from subject forums, and official statistics. Methods of statistical data analysis were applied. Results. The analysis of thematic online activity of the population was performed. The re-sults reflected the interest in the state of the environment, the possibility of distance learning and work, are presented. It was reasoned that measurements of population’s thematic online activity let identify needs and analyze the real-time response to changes in the urban envi-ronment. Such an approach to identifying the needs of the population can be used in addition to the platforms “Active Citizen” of the Smart City project. Conclusions. An analysis of data on online activity of the population for decision-making at situational centers is more operational, flexible and representative, as compared with the use of tools of those platforms. Such an analysis can be used as an alternative to sociological surveys, as it saves time and money. When making management decisions using intelligent information services, it is necessary to take into account the needs of the population, reflect-ed in its socio-economic activity in cyberspace.

scholarly journals Framing the difficulties resulting from implementing a Participatory Management Model in a public hospital

2012 ◽  
Vol 20 (6) ◽  
pp. 1142-1151 ◽  
Author(s):  
Andrea Bernardes ◽  
Greta Cummings ◽  
Yolanda Dora Martinez Évora ◽  
Carmen Silvia Gabriel
Keyword(s):  
Decision Making ◽  
Public Hospital ◽  
Communication Process ◽  
Management Model ◽  
Participatory Management ◽  
Bolman And Deal ◽  
Job Descriptions ◽  
Team Members ◽  
Decentralized Decision Making ◽  
Innovative Management

OBJECTIVE: This study aims to address difficulties reported by the nursing team during the process of changing the management model in a public hospital in Brazil. METHODS: This qualitative study used thematic content analysis as proposed by Bardin, and data were analyzed using the theoretical framework of Bolman and Deal. RESULTS: The vertical implementation of Participatory Management contradicted its underlying philosophy and thereby negatively influenced employee acceptance of the change. The decentralized structure of the Participatory Management Model was implemented but shared decision-making was only partially utilized. Despite facilitation of the communication process within the unit, more significant difficulties arose from lack of communication inter-unit. Values and principals need to be shared by teams, however, that will happens only if managers restructure accountabilities changing job descriptions of all team members. CONCLUSION: Innovative management models that depart from the premise of decentralized decision-making and increased communication encourage accountability, increased motivation and satisfaction, and contribute to improving the quality of care. The contribution of the study is that it describes the complexity of implementing an innovative management model, examines dissent and intentionally acknowledges the difficulties faced by employees in the organization.

scholarly journals Financing and pricing strategies of construction supply chain under capital constraint

2021 ◽  
Vol 336 ◽  
pp. 09004
Author(s):  
Yuxin Wen ◽  
Linyi Wu ◽  
Fengmin Yao
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Stackelberg Game ◽  
Distribution Model ◽  
Pricing Strategies ◽  
External Financing ◽  
Pricing Decision ◽  
Decentralized Decision Making ◽  
Internal Financing ◽  
Decision Making Model

Affected by factors such as cost, the financial constraints faced by the supply chain are becoming more and more severe. This paper constructs a financing and pricing decision-making model for the construction supply chain under capital constraints, and uses Stackelberg game theory to analyze and obtain the best financing and pricing strategy for the construction supply chain under the internal and external financing modes. The study found that when centralized decision-making is adopted, there is a profit distribution model that makes the profits obtained by construction developers and contractors greater than the profits obtained in decentralized decision-making; the internal financing model of the construction supply chain is better than external financing, and can enable the construction supply chain get higher profits.

scholarly journals Informational Openness Enhances Decentralized Decision-Making: A Cognitive Agent Based Study

2017 ◽  
Author(s):  
Joshua Skewes ◽  
Dorthe Døjbak Håkonsson ◽  
Trine Bilde ◽  
Andreas Roepstorff
Keyword(s):  
Decision Making ◽  
Group Performance ◽  
Decision Processes ◽  
Abstract Entity ◽  
Collaborative Decision Making ◽  
Distributed Information ◽  
Decentralized Decision Making ◽  
Or Organization ◽  
Gains And Losses ◽  
Collaborative Decision

Collaborative decision making is central to the organization of society. Juries deliberate cases, voters elect government officials, open innovation networks converge on innovative solutions. It is common to think of such groups as decision making entities. But this language is imprecise. Real decision processes do not occur within any group or organization as an abstract entity. Collaborative decision making happens within and between autonomous individuals. This emphasizes the importance of the relationships between individual and social decision-making processes to social organization. Despite a rich body of literature on collaborative decision making we know little about how individuals decide to commit to group decision making in the first place, and how, once joined, they communicate their distributed information for optimal group performance. We introduce a general framework designed to model collaborative decision processes. Our main results are that 1) commitment and gain is enhanced when groups are designed so agents have realistic knowledge about the forgone gains and losses associated with abstaining from the group; and 2) that this effect is accelerated when communication between group members conveys more information about individual preferences. We thus demonstrate that collaborative decision making is done best when it is done by groups that are informationally open.

Cooperative and Decentralized Decision-Making for Loyal Wingman UAVs

2021 ◽  
Author(s):  
Luiz Giacomossi ◽  
Stiven Schwanz Dias ◽  
Jose Fernando Brancalion ◽  
Marcos R. O. A. Maximo
Keyword(s):  
Decision Making ◽  
Decentralized Decision Making

Understanding Based Managing Support Systems

2010 ◽  
pp. 91-102
Author(s):  
Lidia Ogiela ◽  
Ryszard Tadeusiewicz ◽  
Marek R. Ogiela
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Semantic Analysis ◽  
Support Systems ◽  
Expert Knowledge ◽  
Management Support ◽  
Economic Data ◽  
Economic Information ◽  
Management Support Systems ◽  
Intelligent Information

This publication presents cognitive systems designed for analysing economic data. Such systems have been created as the next step in the development of classical DSS systems (Decision Support Systems), which are currently the most widespread tools providing computer support for economic decision-making. The increasing complexity of decision-making processes in business combined with increasing demands that managers put on IT tools supporting management cause DSS systems to evolve into intelligent information systems. This publication defines a new category of systems - UBMSS (Understanding Based Management Support Systems) which conduct in-depth analyses of data using on an apparatus for linguistic and meaning-based interpretation and reasoning. This type of interpretation and reasoning is inherent in the human way of perceiving the world. This is why the authors of this publication have striven to perfect the scope and depth of computer interpretation of economic information based on human processes of cognitive data analysis. As a result, they have created UBMSS systems for the automatic analysis and interpretation of economic data. The essence of the proposed approach to the cognitive analysis of economic data is the use of the apparatus for the linguistic description of data and for semantic analysis. This type of analysis is based on expectations generated automatically by a system which collects resources of expert knowledge, taking into account the information which can significantly characterise the analysed data. In this publication, the processes of classical data description and analysis are extended to include cognitive processes as well as reasoning and forecasting mechanisms. As a result of the analyses shown, we will present a new class of UBMSS cognitive economic information systems which automatically perform a semantic analysis of business data.

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