Big Data for Community Resilience Assessment: A Critical Review of Selected Global Tools

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.

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

JURNAL PAJAK INDONESIA (Indonesian Tax Review) ◽

10.31092/jpi.v4i1.648 ◽

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.

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A Critical Review of the Big-Data Paradigm

International Journal of Risk and Contingency Management ◽

10.4018/ijrcm.2016070104 ◽

2016 ◽

Vol 5 (3) ◽

pp. 46-59

Author(s):

Ruben Xing ◽

Jinluan Ren ◽

Jianghua Sun ◽

Lihua Liu

Keyword(s):

Information Technology ◽

Big Data ◽

Internet Of Things ◽

Social Science ◽

Critical Review ◽

New Technology ◽

Business Leaders ◽

Transitional Period ◽

Strategic Plans ◽

Strategic Changes

The moving directions of big data are readjusted with updated concerns along with the quick boom of Internet of Things (IoT). Any serious contribution to the advance of the IoT must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. Big data was a hot topic in past years. It is not a new technology, but a huge resource generated from those fields. Some of the omitted focuses become major strategic plans for developers, and several new functions are becoming critical needs for the smart Internet movement. This paper is to address big data with the strategic changes and directions during the sensitive transitional period to be recognized for the business leaders and information technology (IT) developers.

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Structural Ageism in Big Data Approaches

Nordicom Review ◽

10.2478/nor-2019-0013 ◽

2019 ◽

Vol 40 (s1) ◽

pp. 51-64 ◽

Cited By ~ 6

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.

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Big Data in Smart Energy Systems: A Critical Review

AJIT-e Online Academic Journal of Information Technology ◽

10.5824/ajite.2020.02.001.x ◽

2020 ◽

Vol 11 (41) ◽

pp. 11-26

Author(s):

Keziban Seçkin Codal ◽

İzzet Arı ◽

H. Kemal İlter

Keyword(s):

Big Data ◽

Critical Review ◽

Carbon Dioxide Emissions ◽

Energy Demand ◽

Renewable Energy Sources ◽

Energy Systems ◽

Energy System ◽

Interdisciplinary Studies ◽

Smart Energy Systems ◽

The Impact

Climate change is an undeniable fact. Considering that two-thirds of greenhouse gas emissions originate from the energy sector, it is expected that the world's energy system will be transformed with renewable energy sources. Energy efficiency will be continuously increased. Reducing energy-related carbon dioxide emissions is the heart of the energy transition. Big data in energy systems play a crucial role in evaluating the adaptive capacity and investing more smartly to manage energy demand and supply. Indeed, the impact of the smart energy grid and meters on smart energy systems provide and assist decision-makers in transforming energy production, consumption, and communities. This study reviews the literature for aligning big data and smart energy systems and criticized according to regional perspective, period, disciplines, big data characteristics, and used data analytics. The critical review has been categorized into present themes. The results address issues, including scientific studies using data analysis techniques that take into account the characteristics of big data in the smart energy literature and the future of smart energy approaches. The manuscripts on big data in smart energy systems are a promising issue, albeit it is essential to expand subjects through comprehensive interdisciplinary studies

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