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Applying a knowledge-focused management philosophy to immature economies (2003)

Huseby, Todd ; Chou, Seng-cho T.

Bingley : Emerald

Industrial management & data systems 103 (2003), S. 126-132

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ISSN: 0263-5577

Source: Emerald Fulltext Archive Database 1994-2005

Topics: Computer Science , Economics

Notes: As firms, especially manufacturers, seek value-creating opportunities, many are moving operations to low-cost labor centers. Can firms in the mature economies seize these windows of opportunity to increase productivity in immature economies before wages rise to make their own profits, thus increasing shareholder value? This paper contemplates the ideas that a knowledge-focused management philosophy, whether technological, process-oriented, organization structure focused, or cultural can provide managers with techniques to seize this opportunity to create value by increasing labor productivity with less expensive labor. Measuring the value created after implementation of knowledge-focused management programs can be hard and usually requires comparison to pre-implementation metrics.

Type of Medium: Electronic Resource

URL: http://dx.doi.org/10.1108/02635570310463456

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A stock selection DSS combining AI and technical analysis (1997)

Chou, Seng-cho T. ; Hsu, Hsien-jung ; Yang, Chau-chen ; [et al.]

Springer

Annals of operations research 75 (1997), S. 335-353

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ISSN: 1572-9338

Source: Springer Online Journal Archives 1860-2000

Topics: Mathematics , Economics

Notes: Abstract Both technical analysis and artificial intelligence are popular and promising approaches for the construction of intelligent financial application systems, but any particular method alone might not be sufficient. Instead of pursuing the construction of a perfect system using any one particular technique, this paper focuses on the study of the Intelligent Stock Selection Decision Support System (ISSDSS) that adopts both traditional technical analysis and artificial intelligence in dealing with the stock selection problem. ISSDSS analyzes the Taiwan stock market using various technical analysis techniques including technical indicators, charts analysis, Japanese candlesticks philosophy, and Dow theory, giving the basis for the evaluation of the price and trend of stocks, trading signals, and trading prices. AI techniques built upon fuzzy decision rules are employed to double-check the results from technical analysis. The performance of ISSDSS was evaluated by simulating the stock selection in the Taiwan stock market from January 1990 to April 1995. The result confirms that the synergy of technical analysis and artificial intelligence outperforms systems using any one particular technique alone.