scholarly journals Structural Ageism in Big Data Approaches

2019 ◽  
Vol 40 (s1) ◽  
pp. 51-64 ◽  
Author(s):  
Andrea Rosales ◽  
Mireia Fernández-Ardèvol
Keyword(s):  
Big Data ◽  
Sexual Orientation ◽  
Older People ◽  
Critical Review ◽  
Intelligent Systems ◽  
Digital Systems ◽  
Raw Material ◽  
Academic Literature ◽  
Biased Samples

Abstract Digital systems can track every activity. Their logs are the fundamental raw material of intelligent systems in big data approaches. However, big data approaches mainly use predictions and correlations that often fail in the prediction of minorities or invisibilize collectives, causing discriminatory decisions. While this discrimination has been documented regarding, sex, race and sexual orientation, age has received less attention. A critical review of the academic literature confirms that structural ageism also shapes big data approaches. The article identifies some instances in which ageism is in operation either implicitly or explicitly. Concretely, biased samples and biased tools tend to exclude the habits, interests and values of older people from algorithms and studies, which contributes to reinforcing structural ageism.

scholarly journals A Critical Review on Mathematical Descriptions to Study Flux Processes and Environmental-Related Interactions of Mangroves

2021 ◽  
Vol 13 (12) ◽  
pp. 6970
Author(s):  
Jefferson Brooks ◽  
Miguel Chen Chen Austin ◽  
Dafni Mora ◽  
Nathalia Tejedor-Flores
Keyword(s):  
Systematic Review ◽  
Mathematical Model ◽  
Global Warming ◽  
Process Modeling ◽  
Critical Review ◽  
Systematic Search ◽  
Raw Material ◽  
Mangrove Forests ◽  
Recent Information ◽  
Modeling Studies

Trees are resources that provide multiple benefits, such as the conservation of fauna, both terrestrial and marine, a source of food and raw material, and offering protection in storms, which makes it practical to understand their behavior against different phenomena. Such understanding may be possible through process modeling. Studies confirm that mangrove forests can store more carbon than other forests, influencing the fight against global warming. Thus, a critical and systematic review was carried out regarding studies focusing on mangroves to collect information on the models that have been applied and the most influential variables highlighted by other authors. Applying a systematic search for the most relevant topics related to mangroves (basic as well as recent information), it is possible to group models and methods carried out by other authors to respond to certain behaviors presented by mangroves. Moreover, possible structuring of a mathematical model applied to a species of interest thanks to the analyzed references could provide justified information to the authorities on the importance of these forests and the benefits of their preservation and regeneration-recovery.

Bibliometric analysis and critical review of the research on big data in the construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusheng Lu ◽  
Jiantong Zhang
Keyword(s):  
Big Data ◽  
Construction Industry ◽  
Bibliometric Analysis ◽  
Critical Review ◽  
Rapid Development ◽  
Heterogeneous Data ◽  
The Body ◽  
Future Research ◽  
Temporal And Spatial Distribution ◽  
Content Type

PurposeThe digital revolution and the use of big data (BD) in particular has important applications in the construction industry. In construction, massive amounts of heterogeneous data need to be analyzed to improve onsite efficiency. This article presents a systematic review and identifies future research directions, presenting valuable conclusions derived from rigorous bibliometric tools. The results of this study may provide guidelines for construction engineering and global policymaking to change the current low-efficiency of construction sites.Design/methodology/approachThis study identifies research trends from 1,253 peer-reviewed papers, using general statistics, keyword co-occurrence analysis, critical review, and qualitative-bibliometric techniques in two rounds of search.FindingsThe number of studies in this area rapidly increased from 2012 to 2020. A significant number of publications originated in the UK, China, the US, and Australia, and the smallest number from one of these countries is more than twice the largest number in the remaining countries. Keyword co-occurrence is divided into three clusters: BD application scenarios, emerging technology in BD, and BD management. Currently developing approaches in BD analytics include machine learning, data mining, and heuristic-optimization algorithms such as graph convolutional, recurrent neural networks and natural language processes (NLP). Studies have focused on safety management, energy reduction, and cost prediction. Blockchain integrated with BD is a promising means of managing construction contracts.Research limitations/implicationsThe study of BD is in a stage of rapid development, and this bibliometric analysis is only a part of the necessary practical analysis.Practical implicationsNational policies, temporal and spatial distribution, BD flow are interpreted, and the results of this may provide guidelines for policymakers. Overall, this work may develop the body of knowledge, producing a reference point and identifying future development.Originality/valueTo our knowledge, this is the first bibliometric review of BD in the construction industry. This study can also benefit construction practitioners by providing them a focused perspective of BD for emerging practices in the construction industry.

A Critical Review of Academic Literature Constructing Well-Being in Autistic Adults

2021 ◽  
Author(s):  
Gary Yu Hin Lam ◽  
Sujay Sabnis ◽  
Maria Migueliz Valcarlos ◽  
Jennifer R. Wolgemuth
Keyword(s):  
Critical Review ◽  
Well Being ◽  
Academic Literature ◽  
Autistic Adults

scholarly journals Review Reformasi Sistem Perpajakan di Norwegia: Suatu Pembelajaran bagi Reformasi Perpajakan Indonesia

2020 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Maria R.U.D. Tambunan
Keyword(s):  
Big Data ◽  
Welfare State ◽  
Critical Review ◽  
Tax Policy ◽  
Tax Reform ◽  
Tax Compliance ◽  
Profit Shifting ◽  
Productivity Improvement ◽  
The Government ◽  
Taxation System

ABSTRACTThis article is a critical review and as a means of lesson learned for Indonesia taxation system based on the taxation reform undertaken by Norwegian government as a member of welfare state and OECD, that is considered as a country with high tax ratio. It is also a state which has succeed to realize welfare and income distribution without distort domestic economic stabilization. In this article, it is discussed how the Norwegian government fully aware of the role of tax reform as a mandatory task to reach the state objective by optimizing taxation as instrument of social welfare, productivity improvement and stimulus to realize friendly investment environment. Several tax reform agendas such as reduction of corporate income tax, prevention on profit shifting and until the optimization of the use of big data to support the tax reform. Indonesia on its tax reform agenda which has been commenced in 1983 has transformed significantly for many aspects such as administrative affairs and the way the government to implement the tax policy. These measures have aligned with global tax trend. However, several works remain such less optimize tax ratio during the last one decade.Keywords: tax reform, taxation system, tax administration, tax compliance, tax policy ABSTRAKArtikel ini merupakan critical review sekaligus sebagai sarana pembelajaran bagi sistem perpajakan di Indonesia atas reformasi sistem perpajakan yang dilakukan oleh pemerintah Norwegia sebagai salah satu dari kelompok negara welfare state yang oleh OECD dinilai berhasil memiliki tax ratio yang cukup tinggi sekaligus mampu menciptakan pemerataan penghasilan tanpa mendistorsi kegiatan ekonomi domestik.  Dalam artikel ini diuraikan bagaimana pemerintah Norwegia memahami sepenuhnya bahwa reformasi pajak merupakan suatu keniscayaan untuk mencapai tujuan negara yaitu menggunakan instrumen pajak sebagai instrumen pemerataan sosial, peningkatan produktivitas dan stimulus untuk mewujudkan lingkungan ekonomi yang ramah terhadap investasi. Beberapa agenda reformasi yang diulas seperti kebijakan penurunan tarif pajak penghasilan korporasi, pencegahan terjadinya profit shifting hingga pengoptimalan penggunaan teknologi dan big data dalam sistem perpajakan. Indonesia dalam perjalanan reformasi perpajakan sejak 1983 telah mengalami perubahan yang cukup signifikan baik dalam hal administrasi dan implementasi kebijakan pajak sesuai dengan tren reformasi perpajakan global. Namun, catatan penting dalam perjalanan reformasi perpajakan Indonesia adalah masih rendahnya tingkat kepatuhan dan masih rendahnya tax ratio Indonesia dalam kurun waktu satu decade terakhirKata kunci: reformasi perpajakan, sistem perpajakan, administrasi perpajakan, kepatuhan, kebijakan pajak.

scholarly journals Smart Advisor: An Intelligent Inventory Prediction Based On Regression Model

2018 ◽  
Vol 2 (3) ◽  
pp. 86-94
Author(s):  
Ömer Küçük ◽  
Farzad Kiani
Keyword(s):  
Regression Model ◽  
Inventory Management ◽  
Raw Material ◽  
Accurate Estimation ◽  
Stock Management ◽  
Accurate Analysis ◽  
Academic Literature ◽  
For Profit ◽  
The Subject ◽  
Work Done

Today one of the biggest expense items of the enterprises is raw material and stock amounts. Therefore, proper inventory management is very important for the profitability of the enterprises. Products that are not purchased on time cause interruptions in production and products left over because the expiration date has passed will also cause losses for businesses. Therefore, proper inventory management is critical for profit / loss situations of businesses. In this paper we presented a model to predict the demand of certain stock items by using a regression model. Our model can analysis and computer the prediction results on agiven dataset. We evaluate our model on sample dataset and provide the analysis as well calculations over the existing inventory. Accurate analysis of stock consumption enables accurate estimation of the amount of stock to be consumed in the future. Accurate forecasting of stock consumption helps to take corrective steps in decision making. That is, it only allows you to buy in sufficient quantity when necessary. These stages are critical for economic stock management. For this reason, robust and adaptable approaches that can provide models ensure that stock consumption can be managed properly. It is difficult to find previously written sources on estimating the direction of stock movements. One of the most important reasons for this is the lack of incentive to make such studies in the academic literature. As a result, articles written about the subject and the work done have been limited, the results have not reached the reproducible level.

Call for Special Issue Papers: Big Data Analytics and Intelligent Systems for Cybersecurity

Big Data ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 146-147
Author(s):  
Ahmed A. Abd El-Latif ◽  
Lo'ai Tawalbeh ◽  
Yassine Maleh ◽  
Gokay Saldamli
Keyword(s):  
Big Data ◽  
Intelligent Systems ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Special Issue
Sign in / Sign up

Export Citation Format

Share Document