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Abstract This study investigated policy-driven implementations of internationalization in higher education institutions in Taiwan by evaluating its effects as perceived by students and faculty. For organizing the internationalization indicators, we designed a fuzzy questionnaire in which the review indicators were classified into context (C), input (I), process (P), and outcome (O) dimensions according to the context, input, process, and outcome (CIPO) model. This study used statistical models to interpret valid questionnaire returns from 612 students and faculty members from various universities. The results indicated wider gaps between the importance and feasibility of implementing internationalization in the I dimension and partially in the C dimension. In addition, the perceptions of students and faculty suggested a wide chasm between expected and actual results of the CIPO dimensions. Typically, the students favored implementing internationalization regarding the C, I, P, and O indicators more than did the faculty. The diversity of internationalization, based on implementations in public and private sector universities, is demonstrated in the C and I dimensions, with gender-based perceptions and distinctions between participants in universities and technological universities being exhibited in some indicators. This study provides a method for detecting key stakeholders' perceptions of implementing internationalization policies in higher education institutions. [ABSTRACT FROM AUTHOR]

Abstract: In the face of speedy revolution of high technology, the advanced technology becomes one of the key drivers to enhance productivity in a firm or even in a country. In order to compete in the global environment, the ability and effectiveness of acquiring new technology are essential for firms, especially for the traditional machinery industry. In Taiwan, the societal structure is built on the foundation of Small-Medium Enterprises (SMEs). Thus most new technologies need and depend on the technology transfer (TT) from international firms and research institutes. Due to the complicity of influential factors of TT, such as industrial feature (IF), organizational feature (OF), personnel feature (PF) and technological feature (TF), difficulties are encountered in evaluating the effectiveness of TT. This study develops a rule-based decision support mechanism using fuzzy set theory and the method of Analytic Hierarchy Process (AHP) to evaluate the effectiveness of TT. Also, a statistic analysis (Statistics Package for Social Science, SPSS) is adopted to confirm the results of fuzzy AHP analysis. This study finds that prior successful TT experience, workers’ positive attitude, proper authorization, and more codification exist in a novel technology are highly influential. Those factors are important in concern when a firm launching TT. Furthermore, firms’ age and personnel educational background are regardless. [Copyright &y& Elsevier]