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Internal fraud risk reduction: results of a data mining case study
Jans, Mieke; Lybaert, Nadine; Van Hoof, Koen - In: International journal of accounting information systems 11 (2010) 1, pp. 17-41
Persistent link: https://www.econbiz.de/10003963110
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Auditor choices during event log building for process mining
Jans, Mieke - In: Journal of emerging technologies in Accounting 16 (2019) 2, pp. 59-67
Persistent link: https://www.econbiz.de/10012416673
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A field study on the use of process mining of event logs as an analytical procedure in auditing
Jans, Mieke; Alles, Michael G.; Vasarhelyi, Miklos A. - In: The accounting review : a publication of the American … 89 (2014) 5, pp. 1751-1773
Persistent link: https://www.econbiz.de/10010428720
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How active learning and process mining can act as Continuous Auditing catalyst
Jans, Mieke; Hosseinpour, Marzie - In: International journal of accounting information systems 32 (2019), pp. 44-58
Persistent link: https://www.econbiz.de/10012038436
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A five-level framework for research on process mining
Vom Brocke, Jan; Jans, Mieke; Mendling, Jan; Reijers, … - In: Business & information systems engineering 63 (2021) 5, pp. 483-490
Persistent link: https://www.econbiz.de/10012650876
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The application of text mining in accounting
Senave, Elseline; Jans, Mieke; Srivastava, Rajendra P. - In: International journal of accounting information systems 50 (2023), pp. 1-19
Persistent link: https://www.econbiz.de/10014459424
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Identifying latently dissatisfied customers and measures for dissatisfaction management
Bloemer, Josée; Brijs, Tom; Swinnen, Gilbert; Vanhoof, Koen - In: International Journal of Bank Marketing 20 (2002) 1, pp. 27-37
Customer satisfaction continues to be an important topic in the financial services industry. However, there is an increasing awareness that customer satisfaction as such is not enough. Distinguishes between overall satisfied customers and latently dissatisfied customers; the latter being those...
Persistent link: https://www.econbiz.de/10014759751