Big Data

2017 ◽  
Vol 7 (2) ◽  
pp. 1-23 ◽  
Author(s):  
Stephen H. Kaisler ◽  
William H. Money ◽  
Frank Armour ◽  
J. Alberto Espinosa
Keyword(s):  
Big Data ◽  
Processing Speed ◽  
Previous Analysis ◽  
Decision Makers ◽  
Data Transport ◽  
Processing Technologies ◽  
Research Paradigms ◽  
On Line ◽  
Near Term

Big Data refers to data volumes in the range of exabytes (1018th) requiring processing from distributed on-line storage systems with thousands of processors, mainframes or supercomputers where processing speed is measured in GFLOPS. The rate at which data are being collected are accelerating and will approach the zettabyte/year range. Other attributes of Bi Data are also concurrently expanding including variety/variability, velocity, value, and vital concerns for veracity. Storage and data transport technology issues may be solvable in the near-term. However, these communication, quantity management, and processing technologies also represent long-term challenges that require research, paradigms and analytical practices. This paper extends the authors' previous analysis of the issues and challenges with Big Data. It presents a table that contrasts their previous research finding and projects with the state of Big Data today, and their projections of what managers and decision makers will (or should) seek to accomplish as the Big Data universe continues to expand and evolve.

scholarly journals A continued role of short-lived climate forcers under the Shared Socioeconomic Pathways

2020 ◽  
Vol 11 (4) ◽  
pp. 977-993
Author(s):  
Marianne T. Lund ◽  
Borgar Aamaas ◽  
Camilla W. Stjern ◽  
Zbigniew Klimont ◽  
Terje K. Berntsen ◽  
...  
Keyword(s):  
Climate Impact ◽  
Mitigation Strategies ◽  
Decision Makers ◽  
Detailed Knowledge ◽  
Agriculture Waste ◽  
Development Goals ◽  
Near Term ◽  
Temperature Responses

Abstract. Mitigation of non-CO2 emissions plays a key role in meeting the Paris Agreement ambitions and sustainable development goals. Implementation of respective policies addressing these targets mainly occur at sectoral and regional levels, and designing efficient mitigation strategies therefore relies on detailed knowledge about the mix of emissions from individual sources and their subsequent climate impact. Here we present a comprehensive dataset of near- and long-term global temperature responses to emissions of CO2 and individual short-lived climate forcers (SLCFs) from 7 sectors and 13 regions – for both present-day emissions and their continued evolution as projected under the Shared Socioeconomic Pathways (SSPs). We demonstrate the key role of CO2 in driving both near- and long-term warming and highlight the importance of mitigating methane emissions from agriculture, waste management, and energy production as the primary strategy to further limit near-term warming. Due to high current emissions of cooling SLCFs, policies targeting end-of-pipe energy sector emissions may result in net added warming unless accompanied by simultaneous methane and/or CO2 reductions. We find that SLCFs are projected to play a continued role in many regions, particularly those including low- to medium-income countries, under most of the SSPs considered here. East Asia, North America, and Europe will remain the largest contributors to total net warming until 2100, regardless of scenario, while South Asia and Africa south of the Sahara overtake Europe by the end of the century in SSP3-7.0 and SSP5-8.5. Our dataset is made available in an accessible format, aimed also at decision makers, to support further assessment of the implications of policy implementation at the sectoral and regional scales.

A Conceptual Modeling Personalization Framework for OLAP

2012 ◽  
Vol 23 (4) ◽  
pp. 1-16 ◽  
Author(s):  
Irene Garrigós ◽  
Jesús Pardillo ◽  
Jose-Norberto Mazón ◽  
Jose Zubcoff ◽  
Juan Trujillo ◽  
...  
Keyword(s):  
Conceptual Modeling ◽  
Decision Makers ◽  
User Characteristics ◽  
Processing Technologies ◽  
New Approach ◽  
Model Driven ◽  
On Line ◽  
Analytical Processing ◽  
And Behavior ◽  
Multidimensional Models

OLAP (On-line Analytical Processing) technologies rely on multidimensional models to provide decision makers with appropriate structures allowing them to intuitively analyze data. However, these multidimensional models may be potentially large, thus becoming too complex to be understood at a glance. Current approaches for OLAP design are focused on providing analysts with a single multidimensional schema derived from their previously stated information requirements, but this is not sufficient to lighten the complexity of the decision making process. To overcome this drawback, the authors propose personalizing multidimensional models for OLAP technologies according to the continuously changing user characteristics, context, requirements and behavior. In this paper, they present a new approach for personalizing OLAP systems at the conceptual level based on the underlying multidimensional model, a user model and a set of personalization rules. Transformations are defined by means of a model-driven strategy to assist in the process of obtaining the corresponding personalized OLAP schemas from these models.

LONG-TERM FORECASTING WITH PREDICTION MARKETS – A FIELD EXPERIMENT ON APPLICABILITY AND EXPERT CONFIDENCE

2012 ◽  
Vol 2 (2) ◽  
pp. 71-91 ◽  
Author(s):  
Andreas Graefe ◽  
Christof Weinhardt
Keyword(s):  
Field Experiment ◽  
Delphi Study ◽  
Decision Makers ◽  
Expert Advice ◽  
Prediction Markets ◽  
Trading Behavior ◽  
Long Time ◽  
Near Term ◽  
Long Term Forecasting

While prediction markets have become increasingly popular to forecast the near-term future, the literature provides little evidence on how they perform for long-term problems. For assessing the long-term, decision-makers traditionally rely on experts, although empirical research disputes the value of expert advice. Reporting on findings from a field experiment in which we implemented two prediction markets in parallel to a Delphi study, this paper addresses two questions. First, we analyze the applicability of prediction markets for long-term problems whose outcome cannot be judged for a long time. Second, by comparing trading behavior of an expert and a student market, we analyze whether there is evidence that supports the assumption that experts possess superior knowledge. Our results show that prediction markets provide similar results as the well-established Delphi method. We conclude that prediction markets appear to be applicable for long-term forecasting. Furthermore, we observe differences in the confidence of experts and non-experts. Our findings indicate that, in contrast to students, experts reveal their information well-considered based on what they think they know. Finally, we discuss how such analyses of market participants’ confidence provide valuable information to decision-makers and may be used to improve on traditional forecasting methods.

scholarly journals Anti-Corruption Information Technologies

2021 ◽  
Vol 14 (11) ◽  
pp. 1674-1689
Author(s):  
Aleksey V. Minbaleev ◽  
◽  
Kirill S. Evsikov
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
International Organizations ◽  
Information Technologies ◽  
Social Phenomenon ◽  
Artificial Intelligence System ◽  
Russian Government ◽  
Processing Technologies ◽  
Intelligence System

Most countries are making significant efforts to combat corruption. International organizations have developed effective recommendations that have allowed many states to achieve success in the implementation of anti-corruption policies. Using these recommendations Russian Government has developed and implemented effective methods for combating this social phenomenon. Currently, the results obtained from anti-corruption activities are declining. Having considered the tendencies in the development of anti-corruption mechanisms in Russia and worldwide, the authors concluded that there is a delayed decrease in efficiency from the use of anti-corruption methods. In particular, the method of transparency in the long-term period leads to the complication of relations between the corruption interaction subjects, instead of corruption neutralization. To overcome the effect of the delayed decrease in efficiency, the authors put forward a hypothesis about the need to introduce big data processing technologies and artificial intelligence into the anti-corruption system. The work analyzes the foreign experience of using these tools. Based on the results of the analysis, the authors identified problems encountered by foreign specialists and gave recommendations on the organization of anti-corruption activity in Russia. The article proposes the author’s structure of an artificial intelligence system that carries out a comprehensive anti-c

scholarly journals A continued role of Short-Lived Climate Forcers under the Shared Socioeconomic Pathways

2020 ◽  
Author(s):  
Marianne T. Lund ◽  
Borgar Aamaas ◽  
Camilla W. Stjern ◽  
Zbigniew Klimont ◽  
Terje K. Berntsen ◽  
...  
Keyword(s):  
Climate Impact ◽  
Mitigation Strategies ◽  
Decision Makers ◽  
Detailed Knowledge ◽  
Agriculture Waste ◽  
Development Goals ◽  
Near Term ◽  
Temperature Responses

Abstract. Mitigation of non-CO2 emissions plays a key role in meeting the Paris Agreement ambitions and Sustainable Development Goals. Implementation of respective policies addressing these targets mainly occur at sectoral and regional levels and designing efficient mitigation strategies therefore relies on detailed knowledge about the mix of emissions from individual sources and their subsequent climate impact. Here we present a comprehensive dataset of near- and long-term global temperature responses to emissions of CO2 and individual short-lived climate forcers (SLCFs) from 7 sectors and 13 regions – for present-day emissions and their continued evolution as projected under the Shared Socioeconomic Pathways. We demonstrate the key role of CO2 in driving both near- and long-term warming, and restate the importance of mitigating methane emissions, from agriculture, waste management and energy productions, as the primary strategy to further limit near-term warming. Due to high current emissions of cooling SLCFs, policies targeting end-of-pipe energy sector emissions may result in net added warming unless accompanied by simultaneous methane and/or CO2 reductions. East Asia, North America and Europe remain the largest contributors to total net warming until 2100, regardless of scenario, while South Asia and Africa south of the Sahara overtakes Europe by the end of the century in SSP3-7.0 and SSP5-8.5. We find that SLCFs will continue to play a role in many regions, particularly those including low- to medium-income countries, under most of the SSPs considered here. Our dataset is made available in an accessible format, aiming also at decision-makers, to support further studies into the implications of policy implementation at the sectoral and regional scales.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

Aspects of the Evolution of the Romanian Tourists’ Preferences Concerning the Domestic Tourist Destinations

2019 ◽  
Vol 10 (1) ◽  
pp. 21-28
Author(s):  
Aniela Bălăcescu ◽  
Radu Șerban Zaharia
Keyword(s):  
Logistic Model ◽  
Local Level ◽  
Medium Term ◽  
Tourist Destinations ◽  
Tourism Management ◽  
Production And Consumption ◽  
On Line ◽  
The One ◽  
Long Term Studies

Abstract Tourist services represent a category of services in which the inseparability of production and consumption, the inability to be storable, the immateriality, and last but not least non-durability, induces in tourism management a number of peculiarities and difficulties. Under these circumstances the development of medium-term strategies involves long-term studies regarding on the one hand the developments and characteristics of the demand, and on the other hand the tourist potential analysis at regional and local level. Although in the past 20 years there has been tremendous growth of on-line booking made by household users, the tour operators agencies as well as those with sales activity continue to offer the specific services for a large number of tourists, that number, in the case of domestic tourism, increased by 1.6 times in case of the tour operators and by 4.44 times in case of the agencies with sales activity. At the same time, there have been changes in the preferences of tourists regarding their holiday destinations in Romania. Started on these considerations, paper based on a logistic model, examines the evolution of the probabilities and scores corresponding to the way the Romanian tourists spend their holidays on the types of tourism agencies, actions and tourist areas in Romania.

The foundations of peaceful coexistence after the war ... Mosul is a model

2019 ◽  
pp. 178
Author(s):  
Omar Hashim Thanon
Keyword(s):  
Ethnic Diversity ◽  
Psychological Consequences ◽  
Peaceful Coexistence ◽  
Negative Effects ◽  
Mass Displacement ◽  
The Common ◽  
Near Term ◽  
Post War ◽  
Common Destiny

Since peaceful coexistence reflects in its various aspects the concept of harmony between the members of the same society with their different national, religious and sectarian affiliations, as well as their attitudes and ideas, what brings together these are the common bonds such as land, interests and common destiny. But this coexistence is exposing for crises and instability and the theft of rights and other that destroy the communities with their different religious, national, sectarian, ethnic aspects, especially if these led to a crisis of fighting or war, which produces only destruction and mass displacement, ttherefore, the process of bridging the gap between the different parts of society in the post-war phase through a set of requirements that serve as the basis for the promotion of peaceful coexistence within the same country to consolidate civil and community peace in order to create a general framework and a coherent basis to reconstruct the community again.      Hence the premise of the research by asking about the extent of the possibility and ability of the community of religious and ethnic diversity, which has been exposed to these crises, which aimed at this diversity, basically to be able to rise and re-integrate within the same country and thus achieve civil and community peace, and Mosul is an example for that, the negative effects of the war and the accomplices of many criminal acts have given rise to hatred and fear for all, leading to the loss of livelihoods, which in the long term may have devastating social and psychological consequences.        To clarify all of this, the title of the first topic was a review of the concept and origin of peaceful coexistence. While the second topic dealt with the requirements of peaceful coexistence and social integration in Mosul, the last topic has identified the most important challenges facing the processes of coexistence and integration in Mosul. All this in order to paint a better future for the conductor at all levels in the near term at the very least to achieve the values of this peaceful coexistence, especially in the post-war period.

Designing a CRM Framework for online & offline sports footwear retailers

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Rodrigo Cueva ◽  
Guillem Rufian ◽  
Maria Gabriela Valdes
Keyword(s):  
Environmental Changes ◽  
Customer Relationship ◽  
Business Strategies ◽  
Economic Sectors ◽  
Running Shoes ◽  
Brick And Mortar ◽  
Key Factor ◽  
On Line ◽  
The Impact

The use of Customer Relationship Managers to foster customers loyalty has become one of the most common business strategies in the past years.  However, CRM solutions do not fill the abundance of happily ever-after relationships that business needs, and each client’s perception is different in the buying process.  Therefore, the experience must be precise, in order to extend the loyalty period of a customer as much as possible. One of the economic sectors in which CRM’s have improved this experience is retailing, where the personalized attention to the customer is a key factor.  However, brick and mortar experiences are not enough to be aware in how environmental changes could affect the industry trends in the long term.  A base unified theoretical framework must be taken into consideration, in order to develop an adaptable model for constructing or implementing CRMs into companies. Thanks to this approximation, the information is complemented, and the outcome will increment the quality in any Marketing/Sales initiative. The goal of this article is to explore the different factors grouped by three main domains within the impact of service quality, from a consumer’s perspective, in both on-line and off-line retailing sector.  Secondly, we plan to go a step further and extract base guidelines about previous analysis for designing CRM’s solutions focused on the loyalty of the customers for a specific retailing sector and its product: Sports Running Shoes.

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