scholarly journals Corporate Governance And Fraud

2011 ◽  
Vol 5 (3) ◽  
Author(s):  
Rae Weston
Keyword(s):  
Corporate Governance ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Warning Signs ◽  
The Other ◽  
Font Size ◽  
The Past ◽  
Main Bank

<p class="MsoNormal" style="text-align: justify; margin: 0in 34.2pt 0pt 0.5in;"><span style="font-size: 10pt;" lang="EN-AU"><span style="font-family: Times New Roman;">The main bank fraud cases of the past decade are examined to identify warning signs that could and should have been recognised. Brown (2001 and 2004) has rightly highlighted doubling as a key feature of the Leeson and National Australia Bank derivatives losses. This paper takes a wider view of this and other similar events-the Allied Irish fraud, the Sumitomo copper case, the Daiwa Bank losses and the National Australia Bank case &ndash; and examines the other warning signs that could and should have been recognised. If these can be seen as easier to identify while the fraud is in progress than the doubling of transactions, then these may be used to structure an early warning system of some potency.</span></span></p>

scholarly journals PENERAPAN GOOD CORPORATE GOVERNANCE DI PASAR MODAL SEBAGAI UPAYA MELINDUNGI INVESTOR

2019 ◽  
Vol 5 (1) ◽  
pp. 48-76
Author(s):  
Efridani Lubis ◽  
Haryogis Susanto
Keyword(s):  
Corporate Governance ◽  
Early Warning ◽  
Early Warning System ◽  
Warning System ◽  
Good Corporate Governance

Kegiatan pada pasar modal mengandung risiko tinggi, sehingga perdagagan Efek yang berupa surat berharga terbatas sebagaimana diatur dalam Pasal 1 angka 5 Undang-Undang Nomor  8  Tahun  1995 Tentang Pasar Modal yang pada dasarnya adalah dokumen akan mengandung risiko tinggi yang perlu diantisipasi untuk mempertahankan dan meningkatkan kepercayaan masyarakat. Penerapan prinsip GCG menjadi salah satu alternatif untuk mengurangi risiko tersebut. Namun demikian, perlu ditelaah penerapan GCG seperti apa yang dapat secara efektif mengurangi risiko tersebut. Pada tataran peraturan perundang-undangan, prinsip GCG terkait praktik pasar modal telah diatur dalam Undang-undang Nomor 8 Tahun 1995 tentang Pasar Modal, Undang-Undang Nomor 40 Tahun 2007 tentang Perseroan Terbatas, dan Undang-Undang Nomor 19 Tahun 2003 tentang Badan Usaha Milik Negara (BUMN); disamping beberapa peraturan pemerintah dan Peraturan OJK, sebagai badan otoritas pengawas pasar modal di Indonesia. Pada tataran peraturan perundang-undangan, prinsip GCGyang dikembangkan sudahsangat memadai karena berdasarkan praktik internasional dan tuntutan pasar modal itu sendiri. Namun untuk bisa mengukur pelaksanaan GCG secara kuantitatif dan kualitatif, masih dibutuhkan berbagai instrumen yang bisa dijadikan indikator atau parameter kepatuhan Emiten terhadap GCG di Pasar Modal. Tidak mengherankan jika tingkat kepatuhan Pasar Modal Indonesia terhadap GCG di antara negara-negara Asia masih berada pada peringkat 11 pada tahun 2010-2014 dengan trend skor menurun dari 40 di tahun 2011 menjadi 37 ditahun 2012 dan naik menjadi 39 di tahun 2013.Untuk efektifnya perlindungan investor melalui penerapan GCG di pasar modal diusulkan dikaitkan dengan sistem peringatan dini atau early warning system.

scholarly journals Integrated framework for early warning system in UAE

2016 ◽  
Vol 7 (4) ◽  
pp. 361-373 ◽  
Author(s):  
Abdulla Ali Alhmoudi ◽  
Zeeshan Aziz
Keyword(s):  
Natural Hazards ◽  
Early Warning ◽  
Early Warning System ◽  
Large Scale ◽  
Warning System ◽  
Essential Elements ◽  
The Other ◽  
Content Type ◽  
Integrated Framework ◽  
The Impact

Purpose The impacts and costs of natural disasters on people, properties and environment are often severe when these occur on a large scale and with no warning system in place. The lack of deployment of an early warning system (EWS), low risk and hazard knowledge and impact of natural hazard experienced by some communities in the UAE have emphasised the need for more effective EWSs. This work focuses on developing an integrated framework for EWSs for communities prone to the impact of natural hazards to reduce their vulnerability and improve emergency management arrangements in the UAE. Design/methodology/approach The essential elements of effective EWS were identified through literature review to develop an integrated framework for EWS. Semi-structured interviews and questionnaires were also used to identify and confirm hindering factors to deployment of effective EWSs in Abu Dhabi and Fujairah Emirates, while areas that require further development were also identified through this means. Findings The outcome of this research revealed that the warning for natural hazards in the UAE lacked the required elements for effective EWS, whereas the elements which are present are insufficient to mitigate the impacts of natural hazards. The information in this work emphasises the need to improve two elements, and to develop the other two essential elements of EWS in the UAE. Originality/value The outcome of this research revealed that the warning for natural hazards in the UAE lacked the required elements for effective EWS, whereas the elements which are present are insufficient to mitigate the impacts of natural hazards. The information in this work emphasises the need to improve two elements and to develop the other two essential elements of EWS in the UAE.

scholarly journals Roll Stability Early Warning System Based on Tilt Sensor

2017 ◽  
Vol 13 (09) ◽  
pp. 19
Author(s):  
Jingmei Zhang
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Electronic Control Unit ◽  
Warning System ◽  
Control Unit ◽  
Electronic Control ◽  
Font Size ◽  
Social Significance ◽  
Control Command ◽  
Tilt Sensor

<p style="margin: 1em 0px;"><span lang="EN-US"><span style="font-family: 宋体; font-size: medium;">In view of the over-speed phenomenon of heavy haul vehicles at high speed, the estimation of the effective range of the dynamic stability and inclination angle of the truck was carried out a rollover stability alarm system based on liquid pendulum angle sensor and virtual instrument software was developed. The working principle and data processing module of tilt sensor are discussed, through the data lines to output analog voltage signal transmitted to the vehicle </span><a name="OLE_LINK32"></a><span style="font-family: 宋体; font-size: medium;">electronic control unit</span><span style="font-family: 宋体; font-size: medium;">. A control command is sent by the electronic control unit and sent to the driver via an alarm device, which enables the driver to control the speed in time, and so it reduces the risk of a rollover accident. The results show that the warning system is of good accuracy. The early warning system preventing malignant road traffic accidents has important social significance and actual application value for a safe vehicle.</span></span></p>

scholarly journals Can tweets be used to detect problems early with scientific papers? A case study of three retracted COVID-19/SARS-CoV-2 papers

2021 ◽  
Author(s):  
Robin Haunschild ◽  
Lutz Bornmann
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
Scientific Misconduct ◽  
Warning System ◽  
Warning Signs ◽  
Control Group ◽  
Publication Date ◽  
Scientific Papers ◽  
Using Data

AbstractMethodological mistakes, data errors, and scientific misconduct are considered prevalent problems in science that are often difficult to detect. In this study, we explore the potential of using data from Twitter for discovering problems with publications. In this case study, we analyzed tweet texts of three retracted publications about COVID-19 (Coronavirus disease 2019)/SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) and their retraction notices. We did not find early warning signs in tweet texts regarding one publication, but we did find tweets that casted doubt on the validity of the two other publications shortly after their publication date. An extension of our current work might lead to an early warning system that makes the scientific community aware of problems with certain publications. Other sources, such as blogs or post-publication peer-review sites, could be included in such an early warning system. The methodology proposed in this case study should be validated using larger publication sets that also include a control group, i.e., publications that were not retracted.

scholarly journals A Predictive Analytics Infrastructure to Support a Trustworthy Early Warning System

2021 ◽  
Vol 11 (13) ◽  
pp. 5781
Author(s):  
David Baneres ◽  
Ana Elena Guerrero-Roldán ◽  
M. Elena Rodríguez-González ◽  
Abdulkadir Karadeniz
Keyword(s):  
Artificial Intelligence ◽  
Early Warning ◽  
Early Warning System ◽  
Teaching And Learning ◽  
Predictive Analytics ◽  
Warning System ◽  
Intelligence System ◽  
The Past ◽  
Computational Resources ◽  
Analytical Tools

Learning analytics is quickly evolving. Old fashioned dashboards with descriptive information and trends about what happened in the past are slightly substituted by new dashboards with forecasting information and predicting relevant outcomes about learning. Artificial intelligence is aiding this revolution. The accessibility to computational resources has increased, and specific tools and packages for integrating artificial intelligence techniques leverage such new analytical tools. However, it is crucial to develop trustworthy systems, especially in education where skepticism about their application is due to the risk of teachers’ replacement. However, artificial intelligence systems should be seen as companions to empower teachers during the teaching and learning process. During the past years, the Universitat Oberta de Catalunya has advanced developing a data mart where all data about learners and campus utilization are stored for research purposes. The extensive collection of these educational data has been used to build a trustworthy early warning system whose infrastructure is introduced in this paper. The infrastructure supports such a trustworthy system built with artificial intelligence procedures to detect at-risk learners early on in order to help them to pass the course. To assess the system’s trustworthiness, we carried out an evaluation on the basis of the seven requirements of the European Assessment List for trustworthy artificial intelligence (ALTAI) guidelines that recognize an artificial intelligence system as a trustworthy one. Results show that it is feasible to build a trustworthy system wherein all seven ALTAI requirements are considered at once from the very beginning during the design phase.

scholarly journals How to Establish an Early Warning System: Concept and First Steps in Switzerland

Refuge ◽  
1997 ◽  
pp. 16-18
Author(s):  
Andreas V. Kohlschutter ◽  
Gunther Bachler
Keyword(s):  
Early Warning ◽  
Early Warning System ◽  
State Of The Art ◽  
Early Recognition ◽  
Warning System ◽  
Pilot Project ◽  
The Other ◽  
Early Action ◽  
Foreign Ministry ◽  
Computerized System

The authors introduce a pilot project on a general conflict warning system mainly designed to serve the Swiss Foreign Ministry. Especially after the Rwanda disaster, the administration (backed by the Foreign Committee of the Parliament) underlines the need for a computerized system that builds the ground for early recognition and, thus, enhances the "institutionalized" pressure to (re)act in a stage of a conflict as early as possible. Questions arise on the state of the art as weIl as on the interface between early warning on one hand and decision making and early action on the other.

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