Internal fraud in a project-based organization: CHAID decision tree analysis

Bach, Mirjana Pejić; Dumičić, Ksenija; Žmuk, Berislav; Ćurlin, Tamara; Zoroja, Jovana

doi:10.1016/j.procs.2018.10.090

Cited by 10 publications

(7 citation statements)

References 14 publications

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“…Second, decision tree methods used in this study were interpretable, their implementation results can be employed to achieve a set of interpretable rules and identify the relationships between numerous characteristics in the dataset (Bach et al, 2018). The results show that analyzing the structure of a decision tree generated by this method prove to be more efficient and effective to provide better insight into the causes of customer churn.…”

Section: Discussionmentioning

confidence: 93%

A Stacking-Based Data Mining Solution to Customer Churn Prediction

Shabankareh

Nazarian

et al. 2021

Journal of Relationship Marketing

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In today's competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies. Despite their initial successful attempts at attracting customers, organizations soon face the fact that their current customers may turn away towards their rivals. By identifying churn candidates, organizations will be able to guarantee their future success by revising their customer relationship management policy.Analyzing the data of the telecommunications industries, this study provided an effective early-churn-detection solution using modern techniques by stacking data mining algorithms. Research findings indicate that integrating support vector machines (SVMs) with the chi-square automatic interaction detection (CHAID) decision tree can yield the best outcome. The results show the proper accuracy of the proposed churn prediction solution. In addition, stacking contributed to improved customer churn detection results.

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Section: Discussionmentioning

confidence: 93%

A Stacking-Based Data Mining Solution to Customer Churn Prediction

Shabankareh

Nazarian

et al. 2021

Journal of Relationship Marketing

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“…For qualitative variables, a series of chi-squared analyses are conducted between the dependent and the predictor variables. For quantitative variables, analysis of variance methods is used where intervals (splits) are determined optimally for the independent variables so as to maximize the ability to explain a dependent measure in terms of variance components [29,30]. By means of chi-squared metrics, CHAID is able to separately segment the groups classified in terms of the level of relations.…”

Section: Literature Reviewmentioning

confidence: 99%

Operation Risk Structural Analysis and Evaluation System Construction for Multistation Integration Project

Cui

Liu

2022

Mathematical Problems in Engineering

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Digitalization in the power grid sector will become a strong support in the future for the upgrading of the power industry. And, multistation integration has become a leading project in the process. However, there are some hidden risks to its security with the boom of new technologies. Risk analysis and evolution of the multistation integration have an important role in safe operation. This paper analyzes the relationship among risk factors by using both the structural equation modeling (SEM) and the chi-squared automatic interaction detector (CHAID) approach, which is more objective than subjective judgment. The result shows the following: (1) The operational risks come from 10 risk-derived sources which therefore can be qualitatively divided into 2 risk categories with 11 risk indicators. (2) Concerning the structural analysis, the main risk source of multistation integration comes from endogenous risks. (3) In terms of procedural analysis, cultural risk, information risk, and accidental risk are the most critical external risks, while performance risk and location risk are the most critical internal ones. The results of models provide a reference for engineering management in digitalization in the power grid sector.

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“…A specific requirement in some cases is to manage corruption and fraud across the project cycle (Bach et al , 2018). Here, the report of the OECD (2019) on the use of analytics is path-breaking, not in terms of its technical approach but in terms of its recommendations, which relate primarily to countries where corruption in public projects is high, though its conclusions could apply to all large public projects.…”

Section: Project Controlmentioning

confidence: 99%

Controlling superprojects – information management requirements

Parnell¹,

Stone

Aravopoulou

2020

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Purpose This paper aims to explore the problems of managing superprojects and identifies how a different approach to controlling them can reduce the incidence of cost and time overruns and benefit shortfalls. Design/methodology/approach Literature review accompanied by conceptual analysis. Findings Project cost and timing overruns and benefit shortfalls are very frequent in superprojects. These problems can be ascribed partly to the way in which they are planned is not taken into account in designing and implementing control systems, particularly the governance processes and the information they have available. Practical implications This paper has serious implications for those designing control processes, governance and information management for superprojects. It suggests that if a new approach is taken, fewer superprojects will suffer from cost overruns and benefit shortfalls because remedial actions will be taken earlier for projects, which are experiencing problems, while learning will be fed back to those planning new projects. Social implications There will be saving of public money and reduced deferment of benefits that normally result from failed or delayed projects and reduced allocation of large incremental budgets dedicated to resolving problems. Originality/value The taxonomy of different types of superprojects is original, as is the idea of ambidextrous control, and the diagnosis of failure reasons lying in the nature of control and governance processes, and the lack of relevant information available during the control process.

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Internal fraud in a project-based organization: CHAID decision tree analysis

Cited by 10 publications

References 14 publications

A Stacking-Based Data Mining Solution to Customer Churn Prediction

A Stacking-Based Data Mining Solution to Customer Churn Prediction

Operation Risk Structural Analysis and Evaluation System Construction for Multistation Integration Project

Controlling superprojects – information management requirements

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