Technical Supported by
Prof. Larcyneil Pondoc Pascual
University of Mindanao-Tagum Campus, Philippines
Larcyneil Pondoc Pascual, is currently the Research Coordinator of the Research and Publication Center of UM Tagum College. Likewise, he is an associate professor of English at the Department of Teacher Education in the University of Mindanao ¨C Tagum campus (UMTC) where he teaches language, linguistics, literature, professional, and general education subjects. He is also a research consultant in the undergraduate program as a panel of examiner, mentor,data analyst and grammarian. He holds a bachelor¡¯s degree in education and a Licensed Professional Teacher (LPT). Likewise, he obtained his master¡¯s degree in English language at the University of the Immaculate Conception (UIC), Davao City, Philippines. Prof. Pascual is a candidate for Doctor of Philosophy in Education specializing Applied Linguistics. Furthermore, he is actively involved in series of reviews for the Licensure Examination for Teachers (LET) and Licensure Examination for Criminologists conducted by the University of Mindanao. As an educator, he is also an active member of the following professional organizations: Philippine Association for Teacher Education (PAFTE) ¨C Region XI, Conflict Sensitive Journalism (CSJ), and Linguistic Society of Mindanao (LSM). ¡¡
Speech Title: A Conversation Analysis on Student-interaction in a
Simulated Telephone Conversation¡¡
Abstract: In this paper, the researcher underscored the various features during the conversation process. Using Harvey Sacks¡¯ Conversation Framework, the study further aimed to record, transcribe, and analyze the language used by the students in a simulated telephone conversation. Using conversation analysis, the paper highlighted how the linguistic communication was shaped by the conversational turn-taking system, transition-relevance places, and minimal responses. That is, to identify the utterances containing the functions and whether there are any devices used to give face to the interlocutor, identify the components of conversations and how the conversations of each speaker differ from one another. Furthermore, the researcher intends to give a vivid picture on how speakers knew when a current turn was about to end, and how did successive speakers coordinate their conversational efforts so that the talk flowed smoothly. The findings of the study revealed that there were a number of backchannel signals employed by the students during the simulated telephone conversation activity.
Nanhua University, Taiwan
Yu-Kai Huang is an Associate Professor of the Institute of Publishing and Culture Enterprise Management, Nanhua University. He earned his PhD at the Chiao Tung University (Taiwan). After earning his PhD, he worked as a logistics and marketing manager for several e-commerce organizations. His research interests include Logistics Management, Electronic Commerce, Marketing Management, Catastrophe Theory, Chaos Behavior and Nonlinear Dynamic System. Recently, his research focus on issues relating to logistics and supply chain integration, as well as issues relating to the role of -e-commerce in the definition of strategies and performance in supply chain management and on implementation decisions involving information systems and inventory managements.
Risk Management of Antifragile for E-Business
Abstract: The internet represents a growing and huge market and the development of e-commerce is an efficient business model which enables new relationship between consumers and suppliers. In order to send goods or products to customer fast and safely, strong support from efficient logistics system is necessary. The logistics process is complicated and has a lot of risks. Risk management is regarded as the important issue in supply chain management, and the antifragile is the new concept of risk analysis. If managers understand the most antifragile parts in all business, they could take actions and know how to allocate resources to avoid risks happening. The objective of this study is to develop an evaluation model and discuss the risk of logistic delivery system via the Fuzzy Cognitive Map and Sensitivity Model. From the survey, we can establish an evaluation model to analyze and describe the antifragile, vulnerability and resilience of the delivery system using different kind of research methods. The results obtained in this study can be used to help the manager formulate strategies and reduce the risks proactively as well.