Abstract
The nature of competition in the high-technology manufacturing industry has changed dramatically over the last two decades, and any of the traditional indicators of business performance are insufficient today. We have identified a new set of financial and non-financial performance indicators that can be used by high-tech manufacturing companies and have developed a business performance evaluation model. A data envelopment analysis (DEA), an analytic hierarchy process (AHP), and a fuzzy multi-criteria decision-making approach are used in the model. Data from large-sized thin-film transistor liquid-crystal display panel companies in Taiwan were collected via a field survey and from various published databases and were fed into the model to determine the relative business performance of the companies. We hope that our findings will help high-tech manufacturing executives determine their companies’ strengths and weaknesses and lead to future improvements in business operations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
