The Effect of Big Data on the Quality of Decision-Making in Abu Dhabi Government Organisations

2019 ◽  
pp. 231-248
Author(s):  
Yazeed Alkatheeri ◽  
Ali Ameen ◽  
Osama Isaac ◽  
Mohammed Nusari ◽  
Balaganesh Duraisamy ◽  
...  
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Abu Dhabi

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.

Is Artificial Intelligence a New Dawn or Challenge for Corporate Decision Making?

2019 ◽  
pp. 20-42
Author(s):  
Maria Igorevna Nikishova ◽  
Mikhail E. Kuznetsov
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Big Data ◽  
Industrial Revolution ◽  
Rapid Development ◽  
Decision Making Process ◽  
Fourth Industrial Revolution ◽  
Stakeholder Interaction ◽  
The Board Of Directors

The Fourth Industrial Revolution provides companies with new opportunities, and business picks up allies represented by technologies that can change mechanisms of corporate decision making in corporations. Rapid development of technologies, which allows working more efficiently with information, can lead to the creation of a new system of stakeholder interaction, thanks to better analytics, transparency, and speed of decisions. In this regard, the analyst based on big data with the use of artificial intelligence (AI) is able to significantly affect the quality of decisions. How can the application of AI for analysis of big data be able to influence the decision-making process and to what extent can it influence the system of corporate relationships? To answer this question, the authors will try to describe how transformation of decision-making methodology at the Board of Directors level under the influence of the Fourth Industrial Revolution and the development of AI technologies and big data, and what are the opportunities, limitations, and risks of the decision-making process with AI.

scholarly journals The Impact of Applying Artificial Intelligence on the Quality of Decision-Making of Abu Dhabi Police General Headquarters

2020 ◽  
Vol 16 (12) ◽  
pp. 101
Author(s):  
Nouna Sammari ◽  
Saif Salem Mohsen Dahnan Almessabi
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Abu Dhabi ◽  
Managerial Decision ◽  
Digital Revolution ◽  
System Sustainability ◽  
The Impact ◽  
Purposive Sample ◽  
Level Of Agreement

The study aims to examine the impact of applying artificial intelligence on the quality of making decisive security decisions in Abu Dhabi Police General Headquarters. The study uses hypothetical deductive approach to measure impact of applying artificial intelligence on the quality of decision-making. The study uses purposive sample of 100 respondents on staff of Abu Dhabi Police General Headquarters. The results showed that the importance of artificial intelligence was high. This indicates that managerial decision-making is directly or indirectly affected by artificial intelligence within the study sample. This makes the security sectors interested in the developments of artificial intelligence and its outputs and exploits them to save time in making decisions, and achieving quality and acceptance. The results further showed that the level of agreement on administrative decision-making has positive and significant relationship on System Sustainability and Development; Effectiveness of the program used as well as security system of Abu Dhabi Police General Headquarters. Artificial intelligence has become one of the main mechanisms that security sectors rely on in decision-making and represent the most important pillars of development that is indispensable under the changing strong competitions in the world of management, as the information and digital revolution cannot be overlooked and difficult to keep up with at the present time.

scholarly journals Implementing Big Data Analytics in Marketing Departments: Mixing Organic and Administered Approaches to Increase Data-Driven Decision Making

Informatics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 66
Author(s):  
Devon S. Johnson ◽  
Debika Sihi ◽  
Laurent Muzellec
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Survey Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Data Driven ◽  
Top Management ◽  
Data Driven Decision Making ◽  
Marketing Department

This study examines the experience of marketing departments to become fully data-driven decision-making organizations. We evaluate an organic approach of departmental sensemaking and an administered approach by which top management increase the influence of analytics skilled employees. Data collection commenced with 15 depth interviews of marketing and analytics professionals in the US and Europe involved in the implementation of big data analytics (BDA) and was followed by a survey data of 298 marketing and analytics middle management professionals at United States based firms. The survey data supports the logic that BDA sensemaking is initiated by top management and is comprised of four primary activities: external knowledge acquisition, improving digitized data quality, big data analytics experimentation and big data analytics information dissemination. Top management drives progress toward data-driven decision-making by facilitating sensemaking and by increasing the influence of BDA skilled employees. This study suggests that while a shift toward enterprise analytics increases the quality of resource available to the marketing department, this approach could stymie the quality of marketing insights gained from BDA. This study presents a model of how to improve the quality of marketing insights and improve data-driven decision-making.

Towards smart manufacturing: Implementation and benefits

2021 ◽  
Vol 15 (02) ◽  
pp. 25-31
Author(s):  
Karim Haricha ◽  
Azeddine Khiat ◽  
Yassine Issaoui ◽  
Ayoub Bahnasse ◽  
Hassan Ouajji
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Real Time ◽  
Smart Manufacturing ◽  
Time Data ◽  
Real Time Data ◽  
Different Types ◽  
New Generation ◽  
Text Images

Production activities is generating a large amount of data in different types (i.e., text, images), that is not well exploited. This data can be translated easily to knowledge that can help to predict all the risks that can impact the business, solve problems, promote efficiency of the manufacture to the maximum, make the production more flexible and improving the quality of making smart decisions, however, implementing the Smart Manufacturing(SM) concept provides this opportunity supported by the new generation of the technologies. Internet Of Things (IoT) for more connectivity and getting data in real time, Big Data to store the huge volume of data and Deep Learning algorithms(DL) to learn from the historical and real time data to generate knowledge, that can be used, predict all the risks, problem solving, and better decision-making. In this paper, we will introduce SM and the main technologies to success the implementation, the benefits, and the challenges.

Evaluation of the Academic Setting in Spain 1This study was financed by the University of Oviedo.

1995 ◽  
Vol 11 (2) ◽  
pp. 133-137 ◽  
Author(s):  
Juan Fernández ◽  
Miguel A. Mateo ◽  
José Muñiz
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Social Climate ◽  
Three Dimensions ◽  
Academic Setting ◽  
Teaching And Research ◽  
Evaluation Questionnaire ◽  
University Teachers ◽  
The University

The conditions are investigated in which Spanish university teachers carry out their teaching and research functions. 655 teachers from the University of Oviedo took part in this study by completing the Academic Setting Evaluation Questionnaire (ASEQ). Of the three dimensions assessed in the ASEQ, Satisfaction received the lowest ratings, Social Climate was rated higher, and Relations with students was rated the highest. These results are similar to those found in two studies carried out in the academic years 1986/87 and 1989/90. Their relevance for higher education is twofold because these data can be used as a complement of those obtained by means of students' opinions, and the crossing of both types of data can facilitate decision making in order to improve the quality of the work (teaching and research) of the university institutions.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

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