1,720,969 research outputs found
A Fuzzy Approach to Capital Budgeting with Multiple Criteria and Multiple Decision Making
No full textOptimal trade-offs of multiple factors in transfer pricing problems
No full textTransfer pricing problems have been extensively researched by a number of scholars. It is well recognized that transfer pricing problems have a multiple-criteria (objectives) feature and can be formulated as a model of multiple-criteria linear programming. However, few methods have the capability of dealing with all possible optimal trade-offs of multiple criteria in optimal solutions of the models. In this paper a linear multiple-factor model is developed to provide managers with a more systematic and comprehensive scenario of all possible optimal transfer prices depending on both multiple criteria and multiple constraint levels. The trade-offs of all possible optimal transfer prices can be used as a basis for managers of a corporation to make a high-quality decision in selecting their transfer pricing systems for business competition
Capital Budgeting with Multiple Criteria and Multiple Decision Makers: A Fuzzy Approach
No full textA capital budgeting model with multiple criteria and multiple decision makers (MCMDM) is more likely to provide realistic solutions than linear or goal programming models. This paper adopts a fuzzy approach to solve MCMDM capital budgeting problems. This approach is based on two fundamental human cognitive processes: (i) all decision makers who are involved in the capital budgeting problem have goal setting and compromise behavior for seeking multiple criteria, and (ii) each decision maker has a preference for the budget availability level. A solution procedure is proposed to systematically identify a fuzzy optimal selection of possible projects that can not only reach the best compromise value for the multiple criteria, but also use the best budget availability level according to the multiple decision makers\ preferences. The optimal selection can help the firm make a realistic decision regarding its strategic investment. A comparison study of the fuzzy approach with other approaches shows the advantages of using the fuzzy approach
Technological Impact on Teaching of Online Managerial Accounting
No full textAbstractUsing technology in teaching college level Managerial Accounting is an inevitable trend as massive open online courses (MOOCs) are proposed as cost saving tools for many entry-level college courses. However, its benefits won’t be evident for several years and there is still much debate among experts (Wall Street Journal, May 12, 2014). Our university is no exception and we are trying online teaching on a trial basis. I have been teaching online principle-level Managerial Accounting for more than two years now. From my observations over the past two years, motivated students are doing as well as the face-to-face students are, but non-highly motivated students struggle and failure rates are high. It may be acceptable to use MOOCs for social or humanities subjects, but some technical classes like accounting, do not translate effectively as a mechanism to deliver course content. I tested empirically using a Regression Analysis computer assignment to examine this issue and our class results show online students underperformed on this assignment compared to in-class students. Our college uses Echo360 for recording lectures and I made the recording available for the assignment. I provided face-to-face explanations and help for in-class students, but online students worked primarily by themselves
Earnings response coefficients and the quality of earnings: The case of auditor change
No full textThis study tests the effects of auditor change via an examination of differential information content based on the theoretical works of Holthausen and Verrecchia (1988) and Choi and Salamon (1988). This study examines 69 sample firms that changed their auditors from 1980 through 1987 to test the effects of differential information content on earnings announcements when the perceived quality of earnings signals is not identical. Institutional Brokers Estimate System (IBES) sample firms with an extended time horizon are analyzed further to confirm the findings of this study. This study improves previous differential content studies by incorporating the noise level of a firm\u27s information system into the model. In addition, this study controls for unexpected earnings using analysts\u27 forecasts. The empirical results of IBES sample firms with an expanded time horizon three years before and after auditor changes show quality differences between Big Eight auditors and non-Big Eight auditors. The earnings response coefficients, however, do not change significantly after an auditor change. These results suggest that investors\u27 perceptions concerning the quality of a firm\u27s external reporting system may not change over time, but that perceptions are not the same across firms
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Predicting Auditor Changes with Qualified Audit Opinions Using Logit Analysis: Revisited
No full textOur study revisits the qualified audit opinion factor in predicting auditor changes using logit analysis. The empirical test results of logit analysis in the prediction model of auditor change study with qualified audit opinions show that the prediction study performs reasonably well using financial and other data from the Form 10-K report. Even though several data mining approaches have been used recently, the prediction rates are similar to the logit models. The qualified audit opinion variable is significant from this analysis. These results imply that the qualified audit opinions with financial distress factors add significant information value in predicting auditor change
Earnings Informativeness And Ownership Structure In Japan
Get PDFThis paper investigates the association between institutional ownership structures and the quality of earnings information via changes in earnings response coefficients for a sample of Japanese firms during 1990-1998. From these results we can predict that the greater the percentage of institutional shareholders in Japan, the better the quality of earnings information and the higher the foreign ownership; the quality of earnings information is better during Japan’s recession period of 1990-1998. However, keiretsu membership percentage is not important for the quality of earnings information in Japan even though firm size, leverage ratio, and growth are important factors in earnings information in Japan
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