Chung-Jen Fu

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-This paper presents a financial distress prediction model that combines the approaches of neural network learning and logit analysis. This combination can retain the advantages and avoid the disadvantages of the two kinds of approaches in solving such a problem. The radial basis function network (RBFN) is adopted to construct the prediction model. The(More)
Method of balanced scorecard (BSC) may well be one of the most popular strategy management and performance management systems, but BSC can only really success if it is appropriately linked to the employees' intrinsic and extrinsic incentives. In this research, two central issues include motivation and effect on long-term firm value comes into focus in the(More)
This study uses an explicit function form to show how to construct an optimal compensation model by integrating the bonus plan and the balanced scorecard system. Model analysis shows the optimal bonus scheme for different tiers and departments with various characteristics. Meanwhile, it shows that the weight of stock granted in the compensation system would(More)
Detecting firms with going-concern risk is precisely critical to all financial professionals. The analytical features included three aspects: the industry domain, the corporate governance characteristics, and the financial performance. An enhanced two-step analytical approach was developed in this study. First, the multivariate analysis (MA) applied to(More)
Equity valuation by fundamental analysis is modeled by a neuro-fuzzy approach in this paper. This neuro-fuzzy approach is a combination of a fuzzy inference system and a neural network. The fuzzy inference system enables the analyst to qualitatively describe his/her assessment of the influential factors in equity valuation. The neural learning can identify(More)
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