The purpose of this paper is to analyze the effects of the factors and determine the importance of these factors to the LO relationship with the desire to improve the efficiency in logistics activities of the supply chain. An integrated approach including Fuzzy Interpretation Structure Model (FISM), Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (FMICMAC) analysis, Fuzzy Analytic Hierarchy Process (FAHP) is structured in reaching this purpose. Specifically, the impact of factors on the LO relationship will be determined through the FISM-FMICMAC method, then FAHP will use the results from this FISM-FMICMAC analysis step to perform the determination of the level of importance of contributing factors to the LO relationship. The fuzzy number formats of this paper are all in trapezoidal format. To evaluate the proposed framework, a typical example of logistics activity in the Mekong Delta Rice Supply Chain (SuC) was selected. The results have shown the impact level of 14 factors on the LO relationship under 4 clusters (Dependent, Linkage, Independent Autonomous). Finally, only the 10 most outstanding of the 14 factors were used to conduct FAHP analysis to find the global weightages which contribute to the LO relationship by each factor.

The study explored students’ evaluation of and attitudes towards synchronous computermediated communication (SCMC) on language skills development after a fifteen-week semester ofinstruction, using quantitative and qualitative approach. One class of English level 3 of CEFR – Vietnamesestandard (B1) participated in oral role plays and one class engaged in synchronous online discussions. Theresearch participants filled out the pre- and post- questionnaires and the participants from the SCMC groupwere called for semi-structured interviews to obtain their evaluation and attitudes towards synchronouscomputer-mediated communication on language development. Analysis of the questionnaires and semistructured interviews exposed that the fifteen-week semester English intensive course contributed tostudents’ language skills development. They had positive attitudes towards SCMC and were contented withthe activities in the computer lab. Remarkably, the SCMC group felt more confident in chatting in computerlab than the role play group. It showed that doing written online discussions would intrigue learners in theirlearning English. SCMC is thus shown to be a valuable addition to the foreign language classroom.

This paper analyzes the influence of the factors belonging to the Logistics Performance Index (LPI) on the competitiveness of Logistics Enterprises (LEs) in the Mekong Delta (MD), Vietnam. The input factors will be selected from a rigorous document review process combined with an in-depth survey of leading experts in the logistics field. Since then, an integrated approach including Improved Descriptive Statistics (IDS) combined with Fuzzy Interpretive Structure Modeling (FISM) has been structured to achieve this purpose. Specifically, the factors that have the closest relationship with competitiveness will be determined from the results of an improved descriptive statistical method, then the results will be developed using the FISM method under trapezoidal fuzzy number format to realize the importance of factors contributing to improving the competitiveness of logistics companies. The results have shown the impact of 16 sub-factors, which belong in the 4 main factors of Reputation (REP); Timeliness (TIM); Customs (CUS); and Ease of arranging shipments (EAS), on the competitiveness of logistics enterprises in the region analyzed in 4 clusters (Dependency, Association, Autonomy and independence). In which, 6 out of 16 factors have a significant impact on competitiveness that logistics enterprises need to pay more attention to in their operations. These factors will be ranked as REP4, REP 5, REP3, REP1, REP2, EAS1, respectively.