The Visual Display of Quantitative Information

Handbook of the Economics of Finance

Pattern recognition

Cost Accounting: A Managerial Emphasis

As supply chain activities become more dispersed among customers, suppliers and service providers, there is an increased need for customers and suppliers to work together more closely. Supply chain integration (SCI) has been a highly researched topic during the last 20 years. A meta-analytic approach is used to provide a quantitative review of the empirical literature in SCI, and examines relevant design and contextual factors. Eighty independent samples across 86 peer-reviewed journal articles, yielding a total of 17,467 observations, were obtained and analyzed. While general support exists in favor of the positive impact of SCI on firm performance in the literature, this research helps clarify mixed findings that presently exist. Our results indicate that there is a positive and significant correlation between SCI and firm performance. Additional subgroups and moderators are tested and provide nuanced views of the scope and specific dimensions of SCI, firm performance and their relationships.

A meta-analysis of supply chain integration and firm performance

The effect of online privacy policy on consumer privacy concern and trust

This study integrated theory of planning behavior (TPB) and technology acceptance model (TAM) to investigate the determinants affecting taxpayers’ on-line tax filing. According to the Global e-Government Study of Brown University in the United States, Taiwan‘s ranking was the world’s first in 2002. Hence, this study sampled 422 online taxpayers in Taiwan and questionnaire-based empirical study was used to collect data. The empirical results showed that: (1) Attitude was the primary factor affecting on-line tax filing, but “attitude” was also affected by “perceived usefulness”, “perceived ease of use”, “tax equity”, “social norm”, and “moral norm”; (2) Both TAM and TPB could be successfully integrated to explain online tax filing behaviors, and correlations were found between TAM factors and TPB factors; (3) Finally, we built a best-fitted model for on-line tax filing. This model would be the reference for establishing e-government.

	Key words: Theory of planning behavior (TPB), technology acceptance model (TAM), tax equity, social norms, moral norms.

An empirical study of on-line tax filing acceptance model: Integrating TAM and TPB

The objective of this study is to examine all aspects of fraud triangle using the data mining techniques and employ the available and public information to proxy variables to evaluate such attributes as pressure/incentive, opportunity, and attitude/rationalization, based on the findings from prior studies in this subject field and also the Statement on Auditing Standards. The second objective is to discuss whether or not the suggestion of the experts agrees with the results obtained from adopting those novel techniques. In specific, this study uses both expert questionnaires and data mining techniques to sort out the different fraud factors and then rank the importance of them. The data mining methods employed in this research include Logistic Regression, Decision Trees (CART), and Artificial Neural Networks (ANNs). Empirically, the ANNs and CART approaches work with the training and testing samples in a correct classification rate of 91.2% (ANNs) & 90.4% (CART) and 92.8% (ANNs) & 90.3% (CART), respectively, which is more accurate than the logistic model that only reaches 83.7% and 88.5% of the correct classification in assessing the fraud presence. In addition, type II error of ANNs drops significantly to 23.9% from 43.3% and 27.8% compared to the ones using CART and logistic models. Finally, the differences between different data mining tools and expert judgments are also compared to provide more insights as a research contribution.

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Detecting the financial statement fraud

The objective of this study is to identify the financial statement fraud factors and rank the relative importance. First, this study reviews the previous studies to identify the possible fraud indicators. Expert questionnaires are distributed next. After questionnaires are collected, Lawshe's approach is employed to eliminate these factors whose CVR (content validity ratio) values do not meet the criteria. Further, the remaining 32 factors are reviewed by experts to be the measurements suitable for the assessment of fraud detection. The Analytic Hierarchy Process (AHP) is utilized to determine the relative weights of the individual items. The result of AHP shows that the most important dimension is Pressure/Incentive and the least one is Attitude/rationalization. In addition, the top five important measurements are "Poor performance", "The need for external financing", "Financial distress", "Insufficient board oversight", and "Competition or market saturation". The result provides a significant advantage to auditors and managers in enhancing the efficiency of fraud detection and critical evaluation.

Fraud detection using fraud triangle risk factors

Bankruptcy filings are as high today as ever, calling into question the efficacy of existing bankruptcy prediction models. This paper tries to provide an alternative for bankruptcy prediction by using neuro fuzzy, a hybrid approach combining the functionality of fuzzy logic and the learning ability of neural networks. The empirical results show that neuro fuzzy demonstrates a better accuracy rate, lower misclassification cost and higher detecting power than does logit regression, meaning neuro fuzzy could be a great help in providing warnings of impending bankruptcy. Also, its comprehensive explanation about mapping functions among variables presumably provides a foundation for further development of theory and testing of the membership function shape, the transfer function, the methods to aggregate, the methods to defuzzify, and so on.

Shaio Yan Huang

Papers

The effect of online privacy policy on consumer privacy concern and trust

An empirical study of on-line tax filing acceptance model: Integrating TAM and TPB

Detecting the financial statement fraud

Fraud detection using fraud triangle risk factors

Alternative diagnosis of corporate bankruptcy