Supporting cognitive feedback using system dynamics: A demand model of the global system of mobile telecommunication
References (58)
- et al.
Cognitive Feedback
A Diffusion Model with Application to Evolving Medical Technical Technologies
Technological Forecasting and Social Change
(1987)- et al.
Future Use of Cellular Technology — Some Social Implications
Telecommunications Policy
(Feb. 1990) US Telecommunications Privacy Policy
Telecommunications Policy
(December 1988)- et al.
The Value of Action and Inference in Dynamic Decision Making
Organizational Behavior and Human Decision Processes
(1987) Executive Knowledge, Models and Learning
European Journal of Operational Research
(1992)Group vs. Individual Information Processing: The Effects of Outcome Feedback on Decision Making
Organizational Behavior and Human Decision Processes
(1989)- et al.
The Influence of Decision Aids on Choice Strategies: An Experimental Analysis of the Role of Cognitive Effort
Organizational Behavior and Human Decision Processes
(1994) The Use of Decision Criteria in Selecting Information Systems/Technology Investments
Management Information Systems Quarterly
(1992)- et al.
MIRZA: Un Modèle Dynamique du Marché de l'Automobile
Consumption Externalities in Telecommunication Services
Effects of Cognitive Feedback on Performance
Psychological Bulletin
Designing Information Technology to Support Distributed Cognition
Organization Science
Systems Design and the Psychology of Complex Systems
Towards a Theory of Shared Mental Model in CSCW
Rethinking Managerial Education: A View from Chicago
The Social Uses of the Telephone
Scenario Mobile Communications 2010: Study on the Forecast Development and Future Trends in Technical Development and Commercial Provision up to the Year 2010 — Report to the Commission of the European Communities
CEC Contract Number 48
Industrial Dynamics
Lessons from System Dynamics Modeling
System Dynamics Review
Urban Dynamics
World Dynamics
The System Dynamics National Model: Macrobehavior from Infrastructure in Computer-Based Management of Complex Systems
Start a Knowledge Engineering Project: A Step by Step Approach
AI Magazine
Econometric Analysis
New Directions in Research on Conflict Resolution
Journal of Social Issues
Cognitive Control
Psychological Review
The Worldly Philosophers
On the Surprise and Delight of Inconsistent Responses
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Kenya's vision 2030: Modelling technology usage and the economy
2019, Technology in SocietyCitation Excerpt :Based on the system archetypes approach, we to explored how the feedback system structure affects the Kenyan mobile service industry and its impact on vision 2030. [13] proposed cognitive feedback using system dynamics to build a computer-based cognitive aid for exploring the demand model of the global system of mobile telecommunications [14]. proposed the system archetypes that describe common patterns of behaviour in organizations and can be applied in two ways-diagnostically and prospectively [15].
The effect of cues for calibration on learners’ self-regulated learning through changes in learners’ learning behaviour and outcomes
2019, Computers and EducationCitation Excerpt :Cognitive feedback comes in two forms, namely functional validity feedback and cognitive validity feedback (e.g., Besser, 2016; Butler & Winne, 1995; Ernst & Steinhauser, 2017; Sedrakyan & Snoeck, 2016). Functional validity feedback, describes the relation between learners' estimate of change in learning outcomes and the actual change in learning outcomes (e.g., Bui & Loebbecke, 1996; Frysak, 2017; Popelka, 2015). For example, in an adaptive learning environment, learners might be asked to estimate their scores on a to-come test (in the form a JOL-cue).
Assessing feed-in tariffs on wind power installation and industry development in Taiwan
2016, Renewable and Sustainable Energy ReviewsCitation Excerpt :For example, Gupta et al. [16] built an SD model to analyze the productivity of just-in-time systems. Bui and Loebbecke [17] built a decision support system using an SD model to forecast the supply and demand metrics for the mobile phone market. Naill [18] used SD for making US energy policy projections in order to find ways to reduce the country׳s dependence on foreign energy.
Analysis of dynamic effects on seaports adopting port security policy
2013, Transportation Research Part A: Policy and PracticeDynamic simulation of government subsidy policy effects on solar water heaters installation in Taiwan
2013, Renewable and Sustainable Energy ReviewsUsing a system dynamics model to assess the effects of capital subsidies and feed-in tariffs on solar PV installations
2012, Applied EnergyCitation Excerpt :Lomi et al. [32] constructed a system dynamics model to investigate how a firm’s management policy affects its growth and how an organization can achieve its profit target. System dynamics has also been used in the communications industry to predict supply and demand in the mobile phone market [33]. The System Dynamics Group at MIT adopted a micro-modeling concept to construct its System Dynamics National Model [34].