The effect of mastery learning on a course in accounting information system (AIS): A comparison within public and private universities in Taiwan

The Accounting Information System (AIS) is an important course in the Department of Accounting (DoAc) of universities in Taiwan. This course is required for seniors not only because it meets the needs of the profession, but also because it provides continual study for the department's students.^ The scores of The National College and University Joint Entrance Examination (NUEE) show that students with high learning ability are admitted to public universities with high scores, while those with low learning ability are admitted only to private universities. The same situation has been found by the researcher while teaching an AIS course in DoAc of The Public Chun Shin University (CSU) and The Private Chinese Culture University (CCU).^ The purpose of this study was to determine whether low ability students enrolled in private universities in Taiwan in a mastery learning program could attain the same level as high ability students from public universities enrolled in a traditional program. An experimental design was used. The mastery learning method was used to teach three groups of seniors with low learning ability studying in the DoAc at CCU. The traditional method was used to teach the control group which consisted of senior students of DoAc of CSU with high learning ability. As a part of the mastery learning strategy, a formative test, quizzes, and homework were completed by the experimental group only, while the mid-term examination was completed by both groups as part of the course. The dependent variable was the summative test, the final examination. It was completed by both groups upon the course's completion.^ As predicted, there were significant differences between the two groups' results on the pretest. There were no significant differences between the two groups' results on the posttest. These findings support the hypothesis of the study and reveal the effectiveness of mastery learning strategies with low learning ability students. ^

Essays on audit report lag

Audit reporting lag continues to remain an issue of significant interest to regulators, financial statement users, public companies, and auditors. The SEC has recently acted to reduce the deadline for filing annual and quarterly financial statements. Such focus on audit reporting lag arises because, as noted by the Financial Accounting Standards Board, relevance and reliability are the two primary qualities of accounting information; and, to be relevant, information has to be timely. In my dissertation, I examine three issues related to the audit report lag. The first essay focuses on the association between audit report lag and the meeting or beating of earnings benchmarks. I do not find any association between audit report lag and just meeting or beating earnings benchmarks. However, I find that longer audit report lag is negatively associated with the probability of using discretionary accruals to meet or beat earnings benchmarks. We can infer from these results that audit effort, for which audit report lag is a proxy, reduces earnings management. The second part of my dissertation examines the association between types of auditor changes and audit report lag. I find that the resignation of an auditor is associated longer audit report lag compared to the dismissal of an auditor. I also find a significant positive association between the disclosure of a reportable event and audit report lag. The third part of my dissertation investigates the association between senior executive changes and audit report lag. I find that audit report lag is longer when client firms have a new CEO or CFO. Further, I find that audit report lag is longer when the new executive is someone from outside the firm. These results provide empirical evidence about the importance of senior management in the financial reporting process.

Group participative budgeting: The effect of information asymmetry on group work standards

The complexity of many organizational tasks requires perspectives, expertise, and talents that are often not found in a single individual. Organizations have therefore been placing employees into groups, assigning them to tasks they would formally have undertaken individually. The use of these groups, known as workgroups, has become an important strategy for managing this increased complexity. Empirical research on participative budgeting however has been limited almost exclusively to individuals. This dissertation empirically examines the effect of the information that management and workgroups have about group members' performance capabilities, on the work standards that workgroups select during the participative budgeting process. ^ A laboratory experiment was conducted in which two hundred and forty undergraduate business students were randomly assigned to three-member groups. The study provides empirical evidence which suggests that when management is unaware of group members' performance capabilities, workgroups select higher work standards and have higher performance levels than when management is aware of their performance capabilities. ^

A comprehensive study of bankruptcy prediction: Accounting ratios, market variables, and microstructure

Bankruptcy prediction has been a fruitful area of research. Univariate analysis and discriminant analysis were the first methodologies used. While they perform relatively well at correctly classifying bankrupt and nonbankrupt firms, their predictive ability has come into question over time. Univariate analysis lacks the big picture that financial distress entails. Multivariate discriminant analysis requires stringent assumptions that are violated when dealing with accounting ratios and market variables. This has led to the use of more complex models such as neural networks. While the accuracy of the predictions has improved with the use of more technical models, there is still an important point missing. Accounting ratios are the usual discriminating variables used in bankruptcy prediction. However, accounting ratios are backward-looking variables. At best, they are a current snapshot of the firm. Market variables are forward-looking variables. They are determined by discounting future outcomes. Microstructure variables, such as the bid-ask spread, also contain important information. Insiders are privy to more information that the retail investor, so if any financial distress is looming, the insiders should know before the general public. Therefore, any model in bankruptcy prediction should include market and microstructure variables. That is the focus of this dissertation. The traditional models and the newer, more technical models were tested and compared to the previous literature by employing accounting ratios, market variables, and microstructure variables. Our findings suggest that the more technical models are preferable, and that a mix of accounting and market variables are best at correctly classifying and predicting bankrupt firms. Multi-layer perceptron appears to be the most accurate model following the results. The set of best discriminating variables includes price, standard deviation of price, the bid-ask spread, net income to sale, working capital to total assets, and current liabilities to total assets.