scholarly journals Design and Implementation of an Integrated Platform for Purchasing Optimization and Decision Making

2017 ◽  
Keyword(s):  
Decision Making ◽  
Design And Implementation ◽  
Integrated Platform

Big Data, Semantics, and Policy-Making

2019 ◽  
pp. 154-178
Author(s):  
Lamyaa El Bassiti
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Policy Making ◽  
Policy Design ◽  
Semantic Technologies ◽  
Design And Implementation ◽  
Policy Choices ◽  
Data Semantics ◽  
Policy Argument

At the heart of all policy design and implementation, there is a need to understand how well decisions are made. It is evidently known that the quality of decision making depends significantly on the quality of the analyses and advice provided to the associated actors. Over decades, organizations were highly diligent in gathering and processing vast amounts of data, but they have given less emphasis on how these data can be used in policy argument. With the arrival of big data, attention has been focused on whether it could be used to inform policy-making. This chapter aims to bridge this gap, to understand variations in how big data could yield usable evidence, and how policymakers can make better use of those evidence in policy choices. An integrated and holistic look at how solving complex problems could be conducted on the basis of semantic technologies and big data is presented in this chapter.

Using Grid Technology for Maximizing Collaborative Emergency Response Decision Making

2009 ◽  
pp. 256-275 ◽  
Author(s):  
Eleana Asimakopoulou ◽  
Chimay J. Anumba ◽  
Bouchlaghem ◽  
Bouchlaghem
Keyword(s):  
Decision Making ◽  
Emergency Response ◽  
Data Grid ◽  
Informed Decision ◽  
Data Sources ◽  
Grid Technology ◽  
Distributed Data ◽  
Grid Environment ◽  
Design And Implementation ◽  
Response Decision

Much work is under way within the Grid technology community on issues associated with the development of services to foster collaboration via the integration and exploitation of multiple autonomous, distributed data sources through a seamless and flexible virtualized interface. However, several obstacles arise in the design and implementation of such services. A notable obstacle, namely how clients within a data Grid environment can be kept automatically informed of the latest and relevant changes about data entered/committed in single or multiple autonomous distributed datasets is identified. The view is that keeping interested users informed of relevant changes occurring across their domain of interest will enlarge their decision-making space which in turn will increase the opportunities for a more informed decision to be encountered. With this in mind, the chapter goes on to describe in detail the model architecture and its implementation to keep interested users informed automatically about relevant up-to-date data.

scholarly journals Design and Implementation of Arduino based Riders Safe Guard 2.0

2019 ◽  
Vol 9 (1) ◽  
pp. 3078-3083
Keyword(s):  
Decision Making ◽  
Death Rate ◽  
Alcohol Intake ◽  
Seat Belts ◽  
Road Accidents ◽  
Safety Measures ◽  
Design And Implementation ◽  
Two Wheeler

No matter how careful and attentive people are on road, accidents do happen. The only way to have a safe journey is by following safety measures. To decrease the death rate of bike riders, this paper proposes a solution called Rider’s Safe Guard 2.0. Few incidents due to wrong decisions on road may cost our precious life due to recklessness. This work automates the process and the responsibility of decision making is given to the micro controller. Microcontroller makes sure whether the rider is wearing safety gear such as the helmet and whether the ride is under any alcohol intake. By analyzing both these condition the motor starts running and the circuit gets connected to the vehicle ignition switch. Micro controller Arduino Nano and Uno based system insists the rider to wear helmet to ride the bike as long as the motor is on. As there is no declination in road accidents, this system can be made mandatory in every two wheeler and the same can be extended for fourwheelers for wearing seat belts and doesnot allow if the rider is alcoholic.

scholarly journals Design and Implementation of Pay for Performance

2013 ◽  
pp. 396-423 ◽  
Author(s):  
Michael Gibbs
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Performance Measures ◽  
Pay For Performance ◽  
Employee Selection ◽  
Job Design ◽  
Future Research ◽  
Practical Implementation ◽  
Design And Implementation ◽  
Subjective Performance Evaluation

A large, mature and robust economics literature now provides a useful framework for understanding incentives. This chapter uses the lessons of that literature to discuss how to design and implement pay for performance in practice. A unified treatment of properties of numeric performance measures is provided, including how performance measures relate to employee knowledge and decision making. Subjective performance evaluation, and the tie of evaluations to rewards, are analyzed. Practical implementation issues, such as matching of pay for performance to job design, motivating creativity, and links between incentives and employee selection, are considered. The chapter concludes with suggested directions for future research.

scholarly journals Russia’s Digital Economy Program: An Effective Strategy for Digital Transformation?

2020 ◽  
pp. 53-75
Author(s):  
Anna Lowry
Keyword(s):  
Decision Making ◽  
Russian Federation ◽  
Digital Economy ◽  
Digital Transformation ◽  
Effective Strategy ◽  
Subsequent Transformation ◽  
Design And Implementation ◽  
History Of ◽  
The Russian Federation ◽  
Constructive Criticism

AbstractThis chapter focuses on the state program “Digital Economy of the Russian Federation” (2017) and its subsequent transformation into the national project (2018) to be implemented from 2018 to 2024. It examines the effectiveness of the government’s strategy in this area and provides an analysis of the program’s content in terms of its main objectives and mechanisms of implementation, drawing on the constructive criticism of the program in the literature. It also reviews the history of the development of the program, main actors involved in its design and implementation, and the nature of the decision-making process.

scholarly journals Learning "betwixt and between": Opportunities and challenges for student-driven partnership

2018 ◽  
Vol 2 (1) ◽  
pp. 16-32 ◽  
Author(s):  
Susanna Barrineau ◽  
Lakin Anderson
Keyword(s):  
Decision Making ◽  
Learning Community ◽  
Interdisciplinary Education ◽  
Education Student ◽  
Design And Implementation ◽  
Challenges And Opportunities ◽  
Institutional Contexts ◽  
Unusual Amount ◽  
The University ◽  
Depth Interviews

This paper analyses students’ experiences of a partnership learning community in which students take on an unusual amount of power over decision-making in the design and implementation of interdisciplinary education. Student-driven contexts are largely absent in literature on partnership in higher education, which has thus far been based on empirical study of institutional contexts in which faculty have more power than students. This reveals a gap in knowledge about arrangements in which students have more control over decision-making than faculty. Drawing from in-depth interviews with student course coordinators, and using the concepts of roles and liminality, we analyse how course coordinators perceive their challenging and often ambiguous roles in which they renegotiate their relationships to staff, students, and the university itself. We then identify some challenges and opportunities for partnership within this context.

An Associative Classification-Based Recommendation System for Personalization in B2C E-Commerce Applications

2011 ◽  
pp. 107-121
Author(s):  
Y. Zhang
Keyword(s):  
Decision Making ◽  
Knowledge Discovery ◽  
Recommendation System ◽  
System Analysis ◽  
Information Overload ◽  
Recommendation Systems ◽  
Associative Classification ◽  
Design And Implementation ◽  
Efficiency And Effectiveness ◽  
Analysis Design

This chapter presents an associative classification-based recommendation system to support online customer decision-making when facing a huge amount of choices. Recommendation systems have been recently introduced to e-commerce sites in order to solve the information overload and mass confusion problem. This chapter applies knowledge discovery techniques to overcome the drawback of conventional approaches to recommendation systems. The framework of the associative classification-based recommendation system has been addressed in this chapter. The system analysis, design, and implementation issues in an Internet programming environment are also presented. Taking the advantage of accumulative knowledge from historical data, the efficiency and effectiveness of B2C e-commerce applications are improved.

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