An explorative case study on the key issues in the public opinion formation process concerning education policy decision-making

2019 ◽  
Vol 26 (1) ◽  
pp. 81-110
Author(s):  
Hae-Joung Lee ◽  
Sunghoe Lee
2021 ◽  
pp. 016327872110182
Author(s):  
Paul Cristian Gugiu

Kaplan and Baron-Epel advanced the notion that findings from public surveys should inform health policy decision making with respect to funding allocation. This approach to governing can draw large support from the populace, legislators, and the academic community alike. Yet, it has the potential to undermine evidence-based health policy decision making. In this paper, I delineate six drawbacks and several related corollaries drawn from historical events that have occurred during the recent coronavirus pandemic. These examples illustrate the dire downstream consequences (e.g., disregard for the needs of minority groups; diminution of critical services not broadly supported by the public; promotion of fringe group or foreign actor agendas; advancement of poorly informed opinions; shift from a forward-thinking, proactive perspective to a retroactive one; and reliance on potentially biased estimates) that may follow if public surveys become embedded in healthcare policy decision making. Without solutions to the drawbacks delineated in this paper, health policy driven by public opinion is likely to cause more harm than good.


2020 ◽  
Vol 15 (2) ◽  
pp. 383-396
Author(s):  
Carrie Conaway ◽  
Dan Goldhaber

Education policy makers must make decisions under uncertainty. Thus, how they think about risks has important implications for resource allocation, interventions, innovation, and the information that is provided to the public. In this policy brief we illustrate how the standard of evidence for making decisions can be quite inconsistently applied, in part because of how research findings are reported and contextualized. We argue that inconsistencies in evaluating the probabilities of risks and rewards can lead to suboptimal decisions for students. We offer suggestions for how policy makers might think about the level of confidence they need to make different types of decisions and how researchers can provide more useful information so that research might appropriately affect decision making.


2020 ◽  
Vol 98 ◽  
pp. 68-78 ◽  
Author(s):  
Aseem Kinra ◽  
Samaneh Beheshti-Kashi ◽  
Rasmus Buch ◽  
Thomas Alexander Sick Nielsen ◽  
Francisco Pereira

2012 ◽  
Vol 591-593 ◽  
pp. 704-707 ◽  
Author(s):  
Siew Hong Ding ◽  
Teing Tien Goh ◽  
Pei Sze Tan ◽  
Siew Ching Wee ◽  
Shahrul Kamaruddin

Suitable maintenance policy implemented in particular machine able to improve the machine performance as well as the product quality. However, selecting a suitable maintenance policy is a vital and hard work because it has to be decided from analysis of various criteria including failure mechanism and resources limitation. Thus, decision tree is suggested in this paper to provide assistance for maintenance crew in conducting a systematic and efficient decision making process in determining the suitable maintenance policy. In the end of the paper, a case study in semiconductor industry is conducted to illustrate the practicability of developed decision tree.


2016 ◽  
Vol 34 (6) ◽  
pp. 724-739 ◽  
Author(s):  
Walter Castelnovo ◽  
Gianluca Misuraca ◽  
Alberto Savoldelli

Most of the definitions of a “smart city” make a direct or indirect reference to improving performance as one of the main objectives of initiatives to make cities “smarter”. Several evaluation approaches and models have been put forward in literature and practice to measure smart cities. However, they are often normative or limited to certain aspects of cities’ “smartness”, and a more comprehensive and holistic approach seems to be lacking. Thus, building on a review of the literature and practice in the field, this paper aims to discuss the importance of adopting a holistic approach to the assessment of smart city governance and policy decision making. It also proposes a performance assessment framework that overcomes the limitations of existing approaches and contributes to filling the current gap in the knowledge base in this domain. One of the innovative elements of the proposed framework is its holistic approach to policy evaluation. It is designed to address a smart city’s specificities and can benefit from the active participation of citizens in assessing the public value of policy decisions and their sustainability over time. We focus our attention on the performance measurement of codesign and coproduction by stakeholders and social innovation processes related to public value generation. More specifically, we are interested in the assessment of both the citizen centricity of smart city decision making and the processes by which public decisions are implemented, monitored, and evaluated as regards their capability to develop truly “blended” value services—that is, simultaneously socially inclusive, environmentally friendly, and economically sustainable.


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