Individual Differences in Decision Making Depend on Cognitive Abilities, Monitoring and Control

2016 ◽  
Vol 30 (2) ◽  
pp. 209-223 ◽  
Author(s):  
Simon A. Jackson ◽  
Sabina Kleitman ◽  
Lazar Stankov ◽  
Pauline Howie
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Abilities ◽  
Monitoring And Control ◽  
And Control

Individual Differences in Pilot Performance

1976 ◽  
Vol 20 (17) ◽  
pp. 403-409
Author(s):  
Miles R. Murphy
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Abilities ◽  
Pilot Performance ◽  
Research Areas ◽  
Decision Making Processes ◽  
Research Decision ◽  
Glide Slope ◽  
Pilot Behavior

Selected literature on individual differences in pilot performance is reviewed in order to indicate a possible direction for research. Decision-making performance in contingency situations is seen as a potentially fruitful area for study of individual differences, although information on the relative roles of experience and cognitive abilities, styles, and strategies are needed in all research areas. The role of cognitive styles in pilot performance is essentially unexplored; however, the identification of individual pilot behavior differences that have been attributed to style differences and the results of automobile driver behavior research suggest considerable potential. Approaches to studying pilot decision-making processes are discussed, with emphasis given to the wrong-model approach in which accident and incident data, or “process tracing” provide experimental computational structures. Analysis of data from a simulator experiment on V/STOL zero-visibility landing performance suggests that the order of ranking of individual pilot's effectiveness varies with particular situations defined by combinations of tracking requirements (e.g., glide slope, localizer) and glide-slope segment, or speed requirements; the data are being further analyzed.

scholarly journals Datos abiertos: Oportunidades para empresas [Open Data: Opportunities for enterprises]

2015 ◽  
Author(s):  
Luz Andrea Rodríguez Rojas ◽  
Giovanny Mauricio Tarazona Bermúdez ◽  
Carlos Enrique Montenegro Marín
Keyword(s):  
Decision Making ◽  
Open Data ◽  
Legal Framework ◽  
Monitoring And Control ◽  
Calidad De Vida ◽  
Toma De Decisiones ◽  
The Government ◽  
And Control ◽  
Datos Abiertos

La reutilización de la información del sector público se presenta como una oportunidad para que los ciudadanos y las empresas contribuyan a la toma de decisiones, el seguimiento y control de las instituciones públicas y a mejorar la calidad de vida. Este documento presenta las generalidades de los datos abiertos, el marco legal y las iniciativas existentes en Colombia. A pesar que los datos abiertos son considerados una herramienta poderosa para que los ciudadanos tengan acceso a la información recopilada por el gobierno y participen en la toma de decisiones, Colombia ha dado pequeños pasos y todavía tiene un largo camino por recorrer.Palabras Claves: Datos abiertos, Información, Reutilización, toma de decisionesThe re-use of public sector information is presented as an opportunity for citizens and businesses to contribute to decision-making, monitoring and control of public institutions and improve the quality of life. This paper presents an overview of open data, the legal framework and existing initiatives in Colombia. Although open data are considered a powerful tool for citizens to have access to information collected by the government and participate in decision-making, Colombia has taken small steps and still has a long way to goKeywords: Open Data, Information, Reuse, decision making

An Optimal Model for Decision-Making by Individuals

2003 ◽  
Vol 17 (3) ◽  
pp. 213-232
Author(s):  
Shlomo Kaniel
Keyword(s):  
Decision Making ◽  
Group Processes ◽  
Problem Definition ◽  
Monitoring And Control ◽  
Optimal Model ◽  
Future Directions ◽  
Self Talk ◽  
Definition Of ◽  
And Control ◽  
New Strategies

This paper presents a detailed optimal model of a metacognitive decision-making process for individuals. With the aid of an organizing diagram, the various stages of decision-making are presented: gathering and organizing information prior to problem definition; definition of the problem; gathering and organizing information in the light of the definition; planning the solution's implementation, and feedback. The process involves two systems. One, which is supportive, includes mental imagery, self-talk, regulation of processing, management of time and resources, and precision. The second system oversees the process through monitoring and control. The model's advantages are expressed in four areas: high probability of correct decisions, over time; reduction of grave errors; creation of new strategies; and facilitation of positive transfer to new tasks and situations. The paper proposes several future directions: expanding the theory to include group processes and affective and motivational factors, validation of the model through empirical and qualitative studies, and application of the model in instruction, learning and various other fields.

63 Moons-NSEL Merger: A Boon or a Bane for the Stakeholders

2019 ◽  
Vol 23 (02) ◽  
pp. 369-398
Author(s):  
Shernaz Bodhanwala
Keyword(s):  
Decision Making ◽  
Organizational Structure ◽  
Real World ◽  
Decision Making Process ◽  
Monitoring And Control ◽  
The Real ◽  
Major Fault ◽  
Complex Decision Making ◽  
Complex Decision ◽  
And Control

The Ministry of Corporate Affairs, Government of India, had ordered the mandatory merger of 63 Moons Technologies Limited (63 Moons) with its crisis struck subsidiary company, National Spot Exchange Limited (NSEL), the electronic commodity spot exchange of India. However, 63 Moons’ board and promoters did not agree with the forced merger order as they believed that they were not at major fault behind the NSEL payment crisis. The case provides an opportunity to participate in the real-world complex decision-making process which involves the forced merger of two entities that may affect the interest of various stakeholders. The case allows examination of the issues such as related party transactions, internal monitoring and control processes, organizational structure and the regulatory framework which led to the payment crisis.

scholarly journals An Adapted Model of Cognitive Digital Twins for Building Lifecycle Management

2021 ◽  
Vol 11 (9) ◽  
pp. 4276
Author(s):  
Ibrahim Yitmen ◽  
Sepehr Alizadehsalehi ◽  
İlknur Akıner ◽  
Muhammed Ernur Akıner
Keyword(s):  
Decision Making ◽  
Process Optimization ◽  
Cognitive Abilities ◽  
Digital Twins ◽  
Automation And Control ◽  
And Control ◽  
Dynamic Process Optimization ◽  
Lifecycle Management ◽  
Self Learning ◽  
Aec Industry

In the digital transformation era in the Architecture, Engineering, and Construction (AEC) industry, Cognitive Digital Twins (CDT) are introduced as part of the next level of process automation and control towards Construction 4.0. CDT incorporates cognitive abilities to detect complex and unpredictable actions and reason about dynamic process optimization strategies to support decision-making in building lifecycle management (BLM). Nevertheless, there is a lack of understanding of the real impact of CDT integration, Machine Learning (ML), Cyber-Physical Systems (CPS), Big Data, Artificial Intelligence (AI), and Internet of Things (IoT), all connected to self-learning hybrid models with proactive cognitive capabilities for different phases of the building asset lifecycle. This study investigates the applicability, interoperability, and integrability of an adapted model of CDT for BLM to identify and close this gap. Surveys of industry experts were performed focusing on life cycle-centric applicability, interoperability, and the CDT model’s integration in practice besides decision support capabilities and AEC industry insights. The evaluation of the adapted model of CDT model support approaching the development of CDT for process optimization and decision-making purposes, as well as integrability enablers confirms progression towards Construction 4.0.

scholarly journals Influence of the Cognition of Student Entrepreneurs on Decision Making Based on Factor Analysis

2019 ◽  
Vol 14 (12) ◽  
pp. 158
Author(s):  
Shaoying Wang ◽  
Linghui Liu ◽  
Shaoyu Wang
Keyword(s):  
Decision Making ◽  
Cognitive Ability ◽  
Positive Impact ◽  
Market Competition ◽  
Science And Technology ◽  
Monitoring And Control ◽  
Student Entrepreneurs ◽  
Entrepreneurial Decision ◽  
And Control ◽  
The Impact

With the progress of science and technology, the emergence of new technologies has greatly promoted young college students' entrepreneurial boom. However, the progress of science and technology not only brings more opportunities for entrepreneurship, but also makes the market competition more intense. High-speed information updating makes the risk of entrepreneurship sharply increase. Individual entrepreneurship gradually transforms into group entrepreneurship, further increasing the complexity of decision-making. In order to reduce entrepreneurial decision-making errors, this study empirically analyzed the impact of entrepreneurial cognitive ability on entrepreneurial decision-making of entrepreneurial groups of students in Beiijing, Shanghai, Guangzhou and other regions who have been entrepreneurs for three months to six years. The data of five factors, entrepreneurial consensus ability, professional allocation ability, monitoring and control ability, decision-making speed and effect of decision making, were collected through questionnaire. The relationships between the factors were initially determined using SPSS, and the causal relationship was further analyzed using multi-variable regression analysis. The results showed that entrepreneurial consensus ability and professional allocation ability had a significant positive impact on decision-making speed, monitoring and control ability had no significant impact on decision-making speed, professional allocation ability and monitoring ability had a significant positive impact on decision-making effect, and entrepreneurial consensus ability had no significant impact on decision-making effect. In conclusion, entrepreneurial cognitive ability of student entrepreneurs has a significant impact on entrepreneurial decision-making.

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