scholarly journals The Social Construction of School Failure

2000 ◽  
Vol 8 ◽  
pp. 45
Author(s):  
Merylann J. Schuttloffel
Keyword(s):  
Decision Making ◽  
School Reform ◽  
Social Construction ◽  
Educational Reform ◽  
Policy Decision ◽  
Urban School ◽  
School Failure ◽  
School Principal ◽  
The Social

A case study highlights barriers encountered by an urban school principal in implementing reforms within the context of the Kentucky Educational Reform Act. By comparing the competing expectations of Miller's (1995) five capitals and Ianneconne and Lutz's (1970) dissatisfaction theory, the case study dramatizes that Site-Based Decision-Making councils exemplify a policy decision that ignores the practical realities of distressed schools. The lack of congruence between policies and the school reality makes implementation of school reform predictably unsuccessful.

Deliberative Policy Analysis

2018 ◽  
pp. 583-594
Author(s):  
Frank Fischer ◽  
Piyapong Boossabong
Keyword(s):  
Social Sciences ◽  
Decision Making ◽  
Policy Analysis ◽  
Policy Decision ◽  
Practical Method ◽  
Theoretical Perspectives ◽  
The Social ◽  
Policy Decision Making ◽  
Policy Problems

Deliberative policy analysis has its origins in the argumentative turn in policy analysis. It emerged as an alternative to the use of standard empirical-analytic methods of the social sciences to solve public policy problems. Not only has the conventional neopositivist approach failed to produce the promised results, it has generally operated with a technocratic, and largely an anti-democratic, bias. Basic to deliberative policy analysis is a method for bringing together a wider spectrum of citizens, politician and experts in the pursuit of policy decisions that are both effective and democratically legitimate. This chapter begins with an outline of the theoretical perspectives underlying deliberative policy analysis. Then, the process and practice is illustrated by the case study, which shows how the approach has moved from a theory to a practical method for policy decision-making.

Examining the potential of textual big data analytics for public policy decision-making: A case study with driverless cars in Denmark

2020 ◽  
Vol 98 ◽  
pp. 68-78 ◽  
Author(s):  
Aseem Kinra ◽  
Samaneh Beheshti-Kashi ◽  
Rasmus Buch ◽  
Thomas Alexander Sick Nielsen ◽  
Francisco Pereira
Keyword(s):  
Public Policy ◽  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Policy Decision ◽  
Driverless Cars ◽  
Policy Decision Making

scholarly journals Frontline police employees’ social construction of client service

2007 ◽  
Vol 5 (3) ◽  
pp. 38-47
Author(s):  
Karel Stanz ◽  
G. J. Schwart ◽  
W. J. Schurink
Keyword(s):  
Social Construction ◽  
South African ◽  
Qualitative Methodology ◽  
Organisational Change ◽  
Frontline Employees ◽  
South African Police Service ◽  
The Social ◽  
South African Police ◽  
Satisfaction Model

The social construction of frontline employees’ client service plays a major role in organisational success. This study illuminated why frontline personnel are reluctant to accept organisational change which is in line with new policing philosophies. Applying modernist qualitative methodology, and particularly grounded theory within a case study design a ‘process satisfaction model’ was developed with the aim to improve employee satisfaction with internal processes and ultimately service delivery. This model may be used for change in the South African Police Service SAPS) and other government departments.

Implementation of Decision Tree for Maintenance Policy Decision Making - A Case Study in Semiconductor Industry

2012 ◽  
Vol 591-593 ◽  
pp. 704-707 ◽  
Author(s):  
Siew Hong Ding ◽  
Teing Tien Goh ◽  
Pei Sze Tan ◽  
Siew Ching Wee ◽  
Shahrul Kamaruddin
Keyword(s):  
Decision Making ◽  
Decision Tree ◽  
Failure Mechanism ◽  
Semiconductor Industry ◽  
Policy Decision ◽  
Decision Making Process ◽  
Maintenance Policy ◽  
Machine Performance ◽  
Policy Decision Making

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.

Mobility, Data, and Behavior

2015 ◽  
pp. 382-406 ◽  
Author(s):  
Salvatore Di Dio ◽  
Barbara Lo Casto ◽  
Fabrizio Micari ◽  
Gianfranco Rizzo ◽  
Ignazio Vinci
Keyword(s):  
Decision Making ◽  
Social Innovation ◽  
Actual Situation ◽  
Sustainable Mobility ◽  
University Departments ◽  
Mobility Data ◽  
The Social ◽  
Innovation Project ◽  
And Behavior

This chapter presents the social innovation project “TrafficO2”, a support system for decision-making in the field of transportation that tries to push commuters towards more sustainable mobility by providing concrete incentives for each responsible choice. After focusing on Palermo, Italy, the context of this case study, this chapter provides a detailed description of the TrafficO2 model. Specifically, the chapter deals with the analysis of a selected sample of users among Palermo University students who commute daily to their respective University departments on campus. Starting from the modal split of the actual situation (Status Quo scenario), another behavior scenario (Do your right mix) is designed and promoted to encourage users to create a better mix of existing mobility means and reduce the use of private vehicles powered by combustibles. The first test that was performed confirmed the reliability of the initiative.

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