Purpose-To determine the status of internet and e-commerce adoption by the Taiwan semiconductor industry, the research is designed to help government and enterprise in formulating strategic plans and making resource allocation decisions. Design/methodology/approach-Using the three-level model of internet commerce adoption (MICA), a survey of 287 companies and web sites was designed. Semiconductor firms were placed into five categories: integrated circuit (IC) design, manufacturing, packaging, IC testing, and peripheral device manufacturing. Findings-The MICA model shows the internet adoption ratio for semiconductor firms as 82.6 percent, significantly higher than the electronics and electrical machinery industry sector (56.5 percent). The IC manufacturing and packaging segment are in the processing stage, the final stage of development for the MICA model. One-third of the IC testing industry segment falls into the provision stage, and 36.1 percent web sites are in the processing stage. The IC design and peripherals industrial segments are located in the provision stage. Practical implications-The IC manufacturing segment is conducting more financial transactions than the other segments-a result that matches earlier research showing that larger companies are most likely to implement e-business applications. Many enterprises in the industry are lagging with the adoption of the internet indicating a need for education and training. Originality/value-This benchmark study provides a framework for evaluating the internet adoption status of semiconductor and other high technology firms. The MICA model is demonstrated to be suitable for evaluating the different stages of internet adoption.
This study employs a two-stage network data envelopment analysis model to analyze the decision quality and capital magnet efficiencies of 155 mutual funds in Taiwan during the period 2007-2016. The empirical results show that fund managers improved their decision quality; however, their capital magnet efficiency declined.This study also found 10 mutual funds performing in decision quality and capital magnet efficiencies, from which practical suggestions are provided to investors.Finally, this study constructs a market competition matrix to help fund managers (and investors) improve their operating and portfolio performance, plus resource allocation.
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