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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters


DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「」 「 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI ) 。

Abstract 〈TOP〉
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Reference ( 44 ) 〈TOP〉
  1. [2] A. Agresti, An Introduction to Categorical Data Analysis. New York:Wiley Series in Probability and Statistics, 1996.
  2. [3] J. Argenti, Corporate Collapse: The Causes and Symptoms. London: McGraw- Hill, 1976.
  3. [6] 許溪南、歐陽豪、陳慶芳,「盈餘管理、公司治理與財務預警模型之建構」,金融風險管理季刊,第3卷,第3期,第1-40頁,2007。
  4. [7] E.I. Altman, “Financial Ratios, Discriminant Analysis, and the Prediction of Corporate Bankrupty.” Journal of Finance, Vol. 23, no. 4, 1968, pp. 589-609.
  5. [8] F.A. Amir, “Bankruptcy Prediction for Credit Risk Using Neural Networks :A Survey and New Results,” IEEE Transaction JNL on Neural Networks, Vol. 12, no.4, 2001, pp. 929-935.
Times Cited (1) 〈TOP〉
  1. 劉均猷(2011)。財務預警混合模式之特徵篩選與模型建構-以台灣電子產業為例。臺北科技大學工業工程與管理系碩士班學位論文。2011。1-69。 
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