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Dive into the research topics where Liesbeth Bruynseels is active.

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Featured researches published by Liesbeth Bruynseels.


decision support systems | 2008

Predicting going concern opinion with data mining

David Martens; Liesbeth Bruynseels; Bart Baesens; Marleen Willekens; Jan Vanthienen

The auditor is required to evaluate whether substantial doubt exists about the client entitys ability to continue as a going concern. Accounting debacles in recent years have shown the importance of proper and thorough audit analysis. Since the 80s, many studies have applied statistical techniques, mainly logistic regression, as an automated tool to guide the going concern opinion formulation. In this paper, we introduce more advanced data mining techniques, such as support vector machines and rule-based classifiers, and empirically investigate the ongoing discussion concerning the sampling methodology. To provide specific audit guidelines, we infer rules with the state-of-the-art classification technique AntMiner+, which are subsequently converted into a decision table allowing for truly easy and user-friendly consultation in every day audit business practices.


decision support systems | 2018

Predicting tax avoidance by means of social network analytics

Jasmien Lismont; Eddy Cardinaels; Liesbeth Bruynseels; Sander De Groote; Bart Baesens; Wilfried Lemahieu; Jan Vanthienen

Abstract This study predicts tax avoidance by means of social network analytics. We extend previous literature by being the first to build a predictive model including a larger variation of network features. We construct a network of firms connected through shared board membership. Then, we apply three analytical techniques, logistic regression, decision trees, and random forests; to create five models using either firm characteristics, network characteristics or different combinations of both. A random forest including firm characteristics, network characteristics of firms and network characteristics of board members provides the best performance with a minimal increase of 7 pp in AUC. Hence, including network effects significantly improves the predictive ability of tax avoidance models, implying that board members exhibit specific knowledge which can carry over across firms. We find that having board members with no connections to low-tax companies lowers the likelihood of being a low-tax firm. Similarly, the higher the average tax rate of the companies a board member is connected to, the lower the chance of being low-tax. On the other hand, being connected to more low-tax firms increases the probability of being low-tax. Consistent with prior literature on firm-specific variables, PP&E has a positive influence on the probability of being low-tax, while EBITDA has a negative effect. Our results are informative for companies as to the director expertise they want to attract in their boards. Additionally, financial analysts and regulatory agencies can use our insights to predict which firms are likely to be low-tax and potentially at risk.


The Accounting Review | 2014

The Audit Committee: Management Watchdog or Personal Friend of the CEO?

Liesbeth Bruynseels; Eddy Cardinaels


Auditing-a Journal of Practice & Theory | 2011

Auditor Differentiation, Mitigating Management Actions and Audit Reporting Accuracy for Distressed firms

Liesbeth Bruynseels; W. Robert Knechel; Marleen Willekens


Accounting Organizations and Society | 2012

The effect of strategic and operating turnaround initiatives on audit reporting for distressed companies

Liesbeth Bruynseels; Marleen Willekens


Archive | 2006

Strategic actions and going-concern audit opinions

Liesbeth Bruynseels; Marleen Willekens


Auditing-a Journal of Practice & Theory | 2013

Turnaround Initiatives and Auditors' Going-Concern Judgment: Memory for Audit Evidence

Liesbeth Bruynseels; W. Robert Knechel; Marleen Willekens


Archive | 2009

Audit demand and private company financial reporting quality

Liesbeth Bruynseels; Marleen Willekens


The Accounting Review | 2018

Beyond diversity: A tale of faultlines and frictions in the board of directors

Mathijs Van Peteghem; Liesbeth Bruynseels; Ann Gaeremynck


Proceedings of 31st European Accounting Association Annual Conference.31st European Accounting Association Annual Conference | 2007

Management turnaround initiatives and auditors' going-concern judgment: Memory for audit evidence

Liesbeth Bruynseels; W. Robert Knechel; Luk Warlop; Marleen Willekens

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Marleen Willekens

Katholieke Universiteit Leuven

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Mathijs Van Peteghem

Katholieke Universiteit Leuven

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Ann Gaeremynck

Katholieke Universiteit Leuven

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Bart Baesens

Katholieke Universiteit Leuven

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Jan Vanthienen

Katholieke Universiteit Leuven

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Jasmien Lismont

Katholieke Universiteit Leuven

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Sander De Groote

Katholieke Universiteit Leuven

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