Early Warning System for Financially Distressed Hospitals Via Data Mining Application

Koyuncugil, Ali Serhan; Özgülbaş, Nermin

doi:10.1007/s10916-011-9694-1

Cited by 11 publications

(4 citation statements)

References 43 publications

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“…They test the model on over 7,000 small-to mediumsized enterprises and develop a number of risk profiles, risk indicators, early warning systems, and financial road maps that can be used for mitigating financial risk. Similar work has also been undertaken by Koyuncugil and Ozgulbas (2012a) and Kim and Upneja (2014). Li, Sun, and Wu (2010) use classification and regression tree methods to estimate financial distress and failure for a sample of Chinese listed companies, while Gepp, Kumar, and Bhattacharya (2010) use US listed companies.…”

Section: Financial Distress Modellingmentioning

confidence: 99%

Big data techniques in auditing research and practice: Current trends and future opportunities

Gepp¹,

Linnenluecke²,

O'Neill³

et al. 2018

Journal of Accounting Literature

229

150

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This paper analyzes the use of big data techniques in auditing, and finds that the practice is not as widespread as it is in other related fields. We first introduce contemporary big data techniques to promote understanding of their potential application. Next, we review existing research on big data in accounting and finance. In addition to auditing, our analysis shows that existing research extends across three other genealogies: financial distress modelling, financial fraud modelling, and stock market prediction and quantitative modelling. Auditing is lagging behind the other research streams in the use of valuable big data techniques. A possible explanation is that auditors are reluctant to use techniques that are far ahead of those adopted by their clients, but we refute this argument. We call for more research and a greater alignment to practice. We also outline future opportunities for auditing in the context of real-time information and in collaborative platforms and peer-to-peer marketplaces.

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Section: Financial Distress Modellingmentioning

confidence: 99%

Big data techniques in auditing research and practice: Current trends and future opportunities

Gepp¹,

Linnenluecke²,

O'Neill³

et al. 2018

Journal of Accounting Literature

229

150

View full text Add to dashboard Cite

show abstract

“…The use of data mining for understanding organizations' going concerns is becoming popular nowadays (Koyuncugil and Ozgulbas, 2012;Sun and Li, 2008). Sun and Li (2008) designed a data mining tool for the failure prediction of over 100 firms using; entropy-based discretization technique, attributes of financial ratios and one class respectively.…”

Section: Big Data and Internet Of Things In Audit Workmentioning

confidence: 99%

“…The decision-tree big data technique was the foundation for this model design. Data mining was also adopted to fore-warn small firms on a distress-course (Koyuncugil and Ozgulbas, 2012). This was tested on thousands of small companies to develop financial risk pointers and ways of mitigating them.…”

Section: Big Data and Internet Of Things In Audit Workmentioning

confidence: 99%

Auditing in the New Age of Industry 4.0

Nwachukwu¹,

Usman

Akhor³

et al. 2021

International Journal of Business Strategy and Automation

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As the world moves towards a knowledge-based economy, technology is rapidly becoming a necessity. As a result, Industry 4.0 is gradually changing the face of many aspects of human endeavour. From manufacturing to construction and business, data analytics, blockchain, and artificial intelligence, among other things, look promising and may bring a paradigm shift within the accounting profession. This may be significantly drawn towards auditing. While technological changes seem rapid, taking giant strides towards revamping the accounting industry via modern kinds of audit evidence and testing, it is important to tread cautiously in the adoption of technology for auditing. This is because even though technological improvements are useful to achieve speed and accuracy in the audit work, they pose challenges of causing loss of jobs, difficulty in tracing errors, and other potential problems. This paper, therefore, looks at some recent technological development in audit work, and why this aspect of the accounting profession may require further research.

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“…Iles et al obtained by studying the common stocks in the securities market that the increase in nancial leverage will cause the stock price to rise, and there is a positive correlation between them [3]. Koyuncugil et al linked the value of the enterprise with the nancing ratio, and through quantitative calculation, intuitively showed the capital structure when the enterprise performance reached the optimal level with data [4]. Zhu et al put forward a twostage parameter selection method using a multi-objective optimization method in the selection of RBF (radial basis function) central variable parameters [5].…”

Section: Introductionmentioning

confidence: 99%

The Fusion Model of Financial Accounting and Management Accounting Based on Neural Networks

Chen

2022

Mobile Information Systems

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The lines between management accounting and financial accounting are constantly blending as a result of the new economic norm, which is driving this relationship closer and closer. To increase the working effectiveness of financial departments, the two must be coordinated and integrated. The efficient fusion of FA and MA can significantly impact not only the actual effectiveness of accounting work but also the long-term success of businesses. This study develops a network structure that combines BPNN (BP neural network) and PLS (partial least squares), and it applies the structure to FA and MA. The financial data that has been gathered is preprocessed using PLS, which keeps the primary factors of the data processing outcomes and ignores the secondary factors. The findings indicate that this model has a 90 percent overall accuracy rate when assessing the financial health of the 50 test sample companies. The analysis in the conclusion demonstrates that this model can successfully examine the internal relationship between a company’s capital structure and financial performance. It also serves as a guide for the company in terms of how to improve its current illogical financing structure system and improve financial performance.

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Early Warning System for Financially Distressed Hospitals Via Data Mining Application

Cited by 11 publications

References 43 publications

Big data techniques in auditing research and practice: Current trends and future opportunities

Big data techniques in auditing research and practice: Current trends and future opportunities

Auditing in the New Age of Industry 4.0

The Fusion Model of Financial Accounting and Management Accounting Based on Neural Networks

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