認識我們

2006年~2010年

依«優良營造業複評及獎勵辦法»，經複評合格之優良營造業，得依«營造業法第五十一條»，於承攬政府工程時，押標金、工程保證金或工程保留款，得降低百分之五十以下；申領工程預付款，增加百分之十。

1.被清算公司資本額4億，原為公開發行公司

2.債權人不願合意了結債權債務

3.向法院申請破產宣告被駁回

4.債權人同意了結債權債務

5.公司清算完結

搞懂財務大小事 強化創業DNA（圖片來源）

Chapter1給剛翻開這本書的你：創業六階段，看看自己位在哪裡？

Chapter2給上班族的你：六大必須養成的能力

Chapter3給準備開始創業的你：過濾腦中的創業謎團

Chapter4給開始找人的你：如何簽訂合夥契約

Chapter5給公司正在營運的你：創業初期正確的財務操作建議

ISBN：9789869164344

Applying Support Vector Machine, C5.0, and CHAID to the Detection of Financial Statements Frauds. Lecture Notes in Computer Science(LNCS), 11645 : 327-336. (EI)

The research suggests that the C5.0-SVM model yields the highest accuracy rate of 83.15%, followed by SVM-SVM (81.91%), the C5.0-CHAID model (80.93%), and the SVM-CHAID model (77.16%). Der Jang Chi, Chien Chou Chu, Duke Chen(2019).

為凝聚輔導能量、提升中小企業財務能力，經濟部中小及新創企業署透過榮譽會計師，推動線上/現場財會諮詢、財會工具導入分享會、現場財會診斷與輔導、財會主題知能課程等業務

Artificial Intelligence in Corporate Sustainability:Artificial Intelligence in Corporate Sustainability: Using LSTM and GRU for Going Concern PredictionGRU for going concern prediction, Sustainability, 13(21), 11631 . (SSCI)

In the era of artificial intelligence (AI), deep learning algorithms are widely used by practitioners, and academic research is also gradually embarking on projects in various domains. However, the use of deep learning algorithms in the prediction of going concern remains limited. In contrast to those in the literature, this study uses long short-term memory (LSTM) and gated recurrent unit (GRU) for learning and training, in order to construct effective and highly accurate going-concern prediction models. Der Jang Chi, Chien Chou Chu, (2021)

台北市忠孝東路二段130號4樓之7