Unmasking the other face of flexible working practices: A systematic literature review

2022 ◽  
Vol 142 ◽  
pp. 648-662
Author(s):  
Lebene Richmond Soga ◽  
Yemisi Bolade-Ogunfodun ◽  
Marcello Mariani ◽  
Rita Nasr ◽  
Benjamin Laker
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
The Other ◽  
Flexible Working ◽  
Working Practices

scholarly journals Diabetes Detection using Machine Learning: A Systematic Literature Review

2020 ◽  
Vol 7 (2) ◽  
pp. 129-134
Author(s):  
Takudzwa Fadziso
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Early Stage ◽  
Health Sector ◽  
The Other ◽  
Huge Amount

As with the other sectors, the health sector also has a huge amount of data that should be utilized for handling the different diseases. One of the increasing diseases is diabetes that can be handled if it is detected at an early stage. For this purpose, the algorithms of ML can be used. We have discussed the various algorithms of ML and the attributes that can be used to train these algorithms for detecting diabetes.

scholarly journals Users Empowered in Smart Grid Development? Assumptions and Up-To-Date Knowledge

2019 ◽  
Vol 9 (5) ◽  
pp. 815 ◽  
Author(s):  
Barbara van Mierlo
Keyword(s):  
Literature Review ◽  
Smart Grid ◽  
Knowledge Base ◽  
Energy Saving ◽  
Systematic Literature Review ◽  
Smart Grids ◽  
State Of The Art ◽  
User Involvement ◽  
The Other ◽  
Active Involvement

Active involvement of users in smart grids is often seen as key to beneficial development of smart grids. In this paper, we investigate the diverse assumptions about how and why users should be active and to what extent these assumptions are supported by experiences in practice. We present the findings of a systematic literature review on four distinctive forms of user involvement in actual smart grid projects: demand shifting, energy saving, co-design, and co-provision. The state-of-the-art knowledge reflects the preoccupation with demand shifting in the actual smart grid development. Little is known about the other user roles. More diversity in types of projects regarding user roles would improve the knowledge base for important decisions defining the future of smart grids.

scholarly journals Stock Market Prediction using Machine Learning: A Systematic Literature Review

2017 ◽  
Vol 4 (3) ◽  
pp. 123-128
Author(s):  
Siddhartha Vadlamudi
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Stock Market ◽  
Systematic Literature Review ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
The Other ◽  
Stock Market Prediction ◽  
Stock Value ◽  
Challenging Tasks

Different machine learning algorithms are discussed in this literature review. These algorithms can be used for predicting the stock market. The prediction of the stock market is one of the challenging tasks that must have to be handled. In this paper, it is discussed how the machine learning algorithms can be used for predicting the stock value. Different attributes are identified that can be used for training the algorithm for this purpose. Some of the other factors are also discussed that can have an effect on the stock value.

scholarly journals Questioning as an Effective Tool to Enhance Students´ Interaction in the English Classroom

2021 ◽  
Vol 2 (2) ◽  
pp. 3510-3520
Author(s):  
Yola Indaura Chica Cárdenas
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Learning Process ◽  
Educational Process ◽  
The Other ◽  
Positive Effects ◽  
Other Hand ◽  
English Classroom ◽  
Support Students ◽  
Development Of Students

The educational process requires teachers to use a variety of strategies to support students in the process of learning, and one of the most widely used strategies is questioning. Studies carried out by different researchers have demonstrated the positive effects of proper questioning in the learning process; on the other hand, it is worth mentioning that most teachers customarily use questioning in their classes, even though not all of them use it correctly. For this reason, the aim of this paper is to raise teachers´ awareness on the effectiveness of appropriately using questioning in the classroom.   The information presented in this paper has been collected through a systematic Literature Review of a variety of sources related to this tool used in education.  This Literature Review has been organized chronologically by publication and, in some cases, by themes. In relation to results, the majority of researches recognizes and emphasizes the positive effects of adequately applying questioning in the classroom. This tool enhances interaction and, consequently, promotes the development of students’ skills, to make the learning process more effective. 

scholarly journals Trusted Academic Transcripts on the Blockchain: A Systematic Literature Review

2021 ◽  
Vol 11 (4) ◽  
pp. 1842
Author(s):  
Giulio Caldarelli ◽  
Joshua Ellul
Keyword(s):  
Literature Review ◽  
Supply Chains ◽  
Systematic Literature Review ◽  
Digital Libraries ◽  
Financial Sector ◽  
Education Sector ◽  
The Other ◽  
General Level ◽  
Academic Institutions ◽  
Student Records

Much of the excitement around blockchain is mainly due to promising applications in the financial sector. However, many also believe in the technology’s potential to disrupt non-financial sectors and applications, including supply chains, energy, e-voting, healthcare, and education. The application of blockchain within the education sector is expected to make improvements to academic transcripts, credentials, digital libraries, and student records. Research in this domain is rapidly increasing, and current reviews summarize the proposed improvements. On the other hand, the analysis undertaken has remained at a general level that lacks the depth required to cover diverging proposals that have emerged. This review focuses on the application of blockchain for academic transcripts. The aim is to find, among the proposed models, converging aspects that resolve common challenges and may lead to a universally accepted de-facto standard. Furthermore, since academic institutions will serve as oracles to the particular blockchain applications, a discussion on their trustworthiness will be outlined to explore if the proposed applications efficiently address the oracle problem. The outcome of this review highlights the need for a standardized approach built on a public blockchain to promote faster adoption and acceptance. Furthermore, oracles should be incentivized in order for the system to be sustainable, while their identities and activities should be known and identifiable.

scholarly journals Copula in Wildfire Analysis: A Systematic Literature Review

2021 ◽  
Vol 3 (2) ◽  
pp. 101-111
Author(s):  
Mohamad Khoirun Najib ◽  
Sri Nurdiati ◽  
Ardhasena Sopaheluwakan
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Joint Distribution ◽  
The Other ◽  
Future Research ◽  
Copula Model ◽  
Research Opportunities ◽  
The Us ◽  
Article 50 ◽  
Insight Into

AbstractCopula model is a method that can be implemented in various study fields, including analyzing wildfires. The copula distribution function gives a simple way to define joint distribution between two or more random variables. This study aims to review the application of copula in the analysis of wildfires using a Systematic Literature Review (SLR) and provide insight into research opportunities related to the application in Indonesia. The results show there are very few articles using the copula model in the analysis of wildfires. However, the increasing number of article citations each year shows the importance of such article research and has contributed to wildfire analysis development. In that article, 50% of studies applied the copula model to direct wildfire analysis (using fire data) in Canada, Portugal, and the US. Meanwhile, the other 50% use the copula model for indirect wildfire analysis (not using fire data) in Canada and the European region. The outcome of the presented review will provide the latest research positions and future research opportunities on the application of copula in the analysis of wildfires in Indonesia.Keywords: copula; wildfire; systematic literature review. AbstrakModel copula merupakan metode yang dapat diimplementasikan pada berbagai bidang penelitian, salah satunya pada analisis kebakaran hutan. Fungsi sebaran copula memberikan cara yang mudah untuk mendefinisikan sebaran peluang bersama antara dua peubah acak atau lebih. Tujuan penelitian ini mengulas penerapan model copula tersebut pada analisis kebakaran hutan dalam studi literatur menggunakan Systematic Literature Review (SLR) serta memberikan peluang riset ke depan terkait implementasinya pada analisis kebakaran hutan di Indonesia. Hasil penelitian menunjukkan bahwa model copula pada analisis kebakaran hutan masih sangat sedikit. Namun, peningkatan jumlah sitasi artikel tiap tahun menunjukkan pentingnya penelitian tersebut dan memiliki kontribusi pada perkembangan analisis kebakaran hutan. Pada artikel tersebut, sebanyak 50% penelitian menerapkan model copula pada analisis kebakaran secara langsung (menggunakan data kebakaran) di Kanada, Portugal, dan Amerika. Sementara, sebanyak 50% lainnya menerapkan model copula pada analisis kebakaran secara tak langsung (tidak menggunakan data kebakaran), yaitu di Kanada dan kawasan Eropa. Hasil tinjauan memberikan posisi riset terkini serta usulan riset ke depan mengenai penerapan model copula untuk analisis kebakaran hutan dan lahan di Indonesia.Kata kunci: copula; kebakaran hutan; studi literatur sistematik. 

scholarly journals Behavioral Finance Research in 2020: Cui Bono et Quo Vadis?

2021 ◽  
Vol 10 (1) ◽  
pp. 54-76
Author(s):  
Katharina Fischer ◽  
Othmar Manfred Lehner
Keyword(s):  
Literature Review ◽  
Behavioral Finance ◽  
Systematic Literature Review ◽  
Human Mind ◽  
The Other ◽  
Market Sentiment ◽  
Limits To Arbitrage ◽  
Significant Volume ◽  
Financial Anomalies ◽  
Quo Vadis

Emanating from the influential survey of Barberis and Thaler (2003), this systematic literature review examines the significant volume of studies on behavioral finance from 36 reputable finance journals published be-tween 2009 and 2019. The findings are clustered into eight prominent research streams, which indicate the current developments in behavioral finance. Findings show that research intensively focuses on behavioral biases and their influence on economic phenomena. Driven by the impetus to understand the human mind, significant findings originated in the relatively new field of Neurofinance. Additionally, the analysis addresses the influence of market sentiment and its correlation with some of the other findings. Furthermore, implications on the limits to arbitrage in connection with some financial anomalies complete the holistic picture.

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