The fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are extremely beneficial when a decision-making process is complex. The reason is that AHP and TOPSIS can prioritize multiple-choice criteria into a hierarchy by assessing the relative importance of criteria and can thus generate an overall ranking of the alternatives. This study uses fuzzy AHP and fuzzy TOPSIS to evaluate the human resource in science and technology (HRST) performance of Southeast Asian countries. The fuzzy TOPSIS analysis indicates that Singapore, South Korea, and Taiwan have similarities in their desired levels of HRST performance. That is, these three countries have better HRST performances than other Southeast Asian countries.

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If hospitals' administrators can provide career development programmes to satisfy career needs of nurses at different career stages, then nurses' commitment to the hospital may increase and nurses' turnover intention may decrease, which may lead to reciprocity between the hospital and the nurses.

Purpose The purpose of this paper is to investigate the effects of extrinsic motivation, workplace learning, employer trust and self-efficacy on foreign laborers’ cross-cultural adjustment. Design/methodology/approach This paper uses structural equation modeling to analyze the data from a sample of 258 Vietnamese laborers in Taiwan. Findings The results show a significantly positive impact of extrinsic motivation, workplace learning, employer trust and self-efficacy on cross-cultural adjustment. Originality/value The findings of this study provide important implications for academic researchers and organizations concerning management and development of successful foreign laborers. From a theoretical aspect, this study shows new evidence on the impacts of extrinsic motivation, workplace learning, employer trust and self-efficacy on foreign laborer cross-cultural adjustment. In addition, this study enriches theories in the field of self-determination motivation, workplace learning, trust and self-efficacy literature. From a practical aspect, this study provides implications for business managers to make better policies in training and managing foreign laborers.

Indoor air quality monitoring in healthcare environment has become a critical part of hospital management and policy. Manual air sampling and analysis are cost-inhibitive and do not provide real-time air quality data and response measures. In this month-long study over 14 sampling locations in a public hospital in Taiwan, we observed a positive correlation between CO(2) concentration and population, total bacteria, and particulate matter concentrations, thus monitoring CO(2) concentration as a general indicator for air quality could be a viable option. Consequently, an intelligent environmental monitoring system consisting of a CO(2)/temperature/humidity sensor, a digital plug, and a ZigBee Router and Coordinator was developed and tested. The system also included a backend server that received and analyzed data, as well as activating ventilation and air purifiers when CO(2) concentration exceeded a pre-set value. Alert messages can also be delivered to offsite users through mobile devices.