scholarly journals A SURVEY ON FEATURE SELECTION FOR EFFICIENT ECONOMIC BIG DATA ANALYTICS.

2016 ◽  
Vol 4 (11) ◽  
pp. 1351-1355
Author(s):  
Ms.Deepthi Mogaparthi ◽  
◽  
Prof.Priyadarshani Kalokhe ◽  
Ms.Punam Patil ◽  
Ms.Pooja Shedutkar ◽  
...  
PLoS ONE ◽  
2018 ◽  
Vol 13 (8) ◽  
pp. e0202674 ◽  
Author(s):  
Simeone Marino ◽  
Jiachen Xu ◽  
Yi Zhao ◽  
Nina Zhou ◽  
Yiwang Zhou ◽  
...  

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 66989-67004 ◽  
Author(s):  
Ibrahim M. El-Hasnony ◽  
Sherif I. Barakat ◽  
Mohamed Elhoseny ◽  
Reham R. Mostafa

2021 ◽  
Vol 16 (2) ◽  
pp. 109
Author(s):  
Nicholas Alexander Tunggal ◽  
Elliza Elliza

ABSTRACT Audit delay states the complexity of transactions that occur within a business entity. Many companies have tried to find ways to avoid audit delay conditions in their business processes, one of which is by implementing big data analytics in the company's operational activities. The purpose of this study was to determine the effect of implementing big data analytics on audit delay and several other factors such as company size, company age, company profit and loss, auditor opinion, and reputation of public accounting firms. This study will use empirical data based on publicly traded companies with the 2017-2019 period. The selection for the 2017-2019 period is based on the hypothesis that many companies are starting to apply big data analytics in carrying out their business processes. Big data analytics is projected based on disclosures made by companies. Based on the results of logistic regression analysis, big data analysis has no significant effect. This suggests that the accountant/auditor should consider implementing big data analytics because of its complexity.Keywords: audit delay, big data analytics ABSTRAK Audit delay mengindikasikan adanya kompleksitas transaksi yang terjadi dalam suatu entitas bisnis. Banyak perusahaan yang telah mencoba mencari cara agar terhindar dari kondisi audit delay dalam proses bisnisnya, salah satunya dengan mengimplementasikan big data analytics dalam kegiatan operasional perusahaan. Tujuan penelitian ini adalah untuk mengetahui pengaruh implementasi big dataanalytics terhadap audit delay serta beberapa faktor lainnya seperti ukuran perusahaan, umur perusahaan, laba rugi perusahaan, opini auditor, dan juga reputasi kantor akuntan publik. Penelitian ini akan menggunakan data empiris berdasarkan perusahaan go public dengan periode 2017-2019. Pemilihan periode 2017-2019 didasarkan pada mulai banyaknya perusahaan yang menerapkan big data analytics dalam menjalankan proses bisnisnya. Big data analytics diproyeksikan berdasarkan pengungkapan yang dilakukan perusahaan. Berdasarkan hasil analisis regresi logistik, big data analytics tidak berpengaruh signifikan. Hal ini menunjukkan bahwa akuntan/auditor harus mempertimbangkan pengimplementasian big data analytics karena terkait dengan kompleksitasnya.Kata kunci: audit delay, big data analytics


Sign in / Sign up

Export Citation Format

Share Document